Paid search has never been just about earning the click. It has been about turning that click into a qualified opportunity. A person searches for something, clicks an ad, lands on a page, and decides whether the offer is worth sharing their contact information. For years, that process has shaped lead generation strategy, from landing pages and forms to cost per lead.
At Google Marketing Live 2026, Google introduced Business Agent for Leads as part of its broader push into AI-powered search ads. The feature adds a Gemini-powered chat experience directly into the ad, giving prospects a way to ask questions, get answers based on the advertiser’s website, and choose to submit their information after a more meaningful exchange. Google explains the rollout in its announcement, A new generation of ads for the AI era of Search.
For marketers, the biggest change is not simply that the conversation can happen inside the ad. It is that the lead can arrive with context. A name, email, and phone number may soon be joined by the questions, concerns, priorities, and buying signals that surfaced before the handoff to sales.
Lead forms are useful because they are simple. They reduce friction, make campaigns easier to scale, and give sales teams a steady stream of people to contact. In many industries, especially high-consideration categories like education, automotive, real estate, healthcare, home services, and B2B services, forms have been the standard way to turn paid traffic into a measurable pipeline.
The problem is that a form fill does not always tell the full story. A person may submit a form before they fully understand the offer. Another person may click too quickly because the form was pre-filled. Someone else may be curious, but not qualified. By the time sales follows up, the rep often has very little context beyond basic contact information and the campaign that generated the lead.
This creates tension between marketing and sales. Marketing can point to lead volume and cost efficiency, while sales may question whether those leads are truly worth pursuing. A campaign can look successful in the ad platform while creating extra work for the team responsible for converting those contacts into customers. Business Agent for Leads does not automatically solve that problem, but it does introduce a better way to understand intent before the handoff happens.
A form fill tells you that someone was willing to submit their information. A conversation can tell you why they were interested in the first place. Once the lead reaches sales, the value of that extra context becomes clear.
Consider two prospects entering the CRM. One record includes a name, email, phone number, ad campaign, and form submission time. The other includes the same information, plus a record of what the person asked before converting. They wanted to know about pricing, availability, eligibility, service areas, timelines, or the difference between two options. They may have revealed a concern that would normally come up later on a sales call.
The second lead is more useful because it gives the sales team a starting point. A rep can follow up with a message that reflects the prospect’s interest instead of relying on a generic introduction. The first interaction can feel more relevant because the business already understands what the person cared about during the ad experience.
This is where Business Agent for Leads could become especially valuable. The opportunity is not only to increase the number of leads. The opportunity is to improve the quality of the information attached to each lead, so the team can prioritize better, respond faster, and personalize the next step.
Many paid search programs are still optimized around the conversion event. Once a form is submitted, the platform counts the lead, the dashboard updates, and the campaign receives credit. In a conversational lead-generation model, the conversion event is only part of the value. The real test is whether the business can capture and use the conversation data after the lead is created.
A CRM should not treat every chat-generated lead like a basic web form submission. If a prospect asked specific questions before sharing contact information, that context should travel with the record. Sales should be able to see what the person asked, what topic they were interested in, whether they mentioned timing, and what next step they seemed ready for.
Useful CRM fields may include the lead source, campaign, service interest, location, urgency, question category, objection type, conversation summary, and recommended follow-up action. This kind of structure helps the business turn a chat into sales intelligence instead of leaving it as unorganized data.
The handoff should be treated as part of the campaign strategy, not an afterthought. Paid media does not end when the lead is captured. A strong lead-generation system connects the ad experience, website content, CRM structure, and sales process so the team receives more than a notification. It receives useful context that can support a better conversation.
Speed to lead still matters, but speed alone is not enough. A fast call or email can still feel generic if the rep has no idea what the prospect already asked. In an AI-powered chat experience, the prospect may have spent several minutes explaining their needs before agreeing to share contact information. Asking them to repeat everything can create friction.
A better handoff allows sales to continue the conversation instead of restarting it. A rep could open by referencing the topic the prospect explored, such as availability in a specific area, program requirements, financing options, implementation timing, or service fit. This makes the follow-up feel more connected to the experience that created the lead.
For high-consideration industries, this kind of continuity can matter a lot. Prospects often have multiple questions before they are ready to speak with someone. When the sales team can see those questions ahead of time, the first call becomes more productive. Discovery can move faster, objections can be addressed sooner, and the prospect is more likely to feel understood.
This also helps sales teams spend time where it matters most. Leads showing clear urgency, specific service interest, or strong buying signals can be prioritized. Leads that are more exploratory can be routed into a nurture path. Better context supports better decisions across the funnel.
A traditional lead scoring model may give points for a form submission, a page visit, or a downloadable asset. Conversational lead generation creates more meaningful signals. The content of the conversation can reveal whether someone is browsing, comparing, qualifying themselves, or preparing to take action.
A prospect who asks about pricing, timeline, service availability, or next steps may be showing stronger intent than someone asking a general awareness question. Someone who shares location-specific needs may be easier to route. Someone who asks about eligibility or requirements may be closer to a decision than someone still learning the basics.
Marketing and sales teams should define which conversation signals matter most. Not every chat should be treated as sales-ready. Some users will still be early in the journey. Some will not be a fit. Others may need more education before direct outreach makes sense.
A stronger scoring model can separate these groups. The goal is not only to count leads, but to understand their readiness. When conversation data is used properly, the CRM can become a more accurate reflection of intent, not just activity.
Business Agent for Leads may reduce the need for a user to visit a landing page before converting, but it does not reduce the importance of the website. In many ways, website content becomes more important because the AI-powered agent needs reliable information to answer the prospect’s questions.
If the website is vague, outdated, or thin, the conversation may be vague too. If service pages fail to answer common buyer questions, the agent may not have enough useful material to build confidence. If important information is scattered across disconnected pages, prospects may receive incomplete answers or lose trust in the experience.
A strong website should explain the offer clearly, answer common pre-sale questions, and support the way prospects actually make decisions. Service details, pricing factors, availability, process steps, requirements, differentiators, testimonials, and next steps all help create better conversations. The page may not always be the first destination, but it still acts as the source material behind the ad experience.
This is where SEO, content strategy, paid media, and sales enablement start to overlap. Content is not only written for search rankings or human readers. It also supports the AI-powered systems that help qualify leads before they reach the business. PPC Media offers a tactical breakdown of the beta and its early focus on industries like automotive, education, and real estate.
Business Agent for Leads is still early, and adoption will depend on availability, industry fit, campaign goals, and how well each business can support the experience behind the scenes. Even so, the direction is clear: search ads are becoming more conversational, and lead generation is moving toward richer intent signals that can influence more than campaign reporting.
Businesses should start by looking at the questions prospects ask before they become customers. Sales calls, chat logs, form comments, search queries, customer service conversations, and FAQ data can show what people need to know before they feel ready to move forward. These questions should not stay isolated in sales notes or support threads. They should shape website content, ad messaging, CRM fields, lead routing, and follow-up strategy.
The next priority is the CRM handoff. If a lead comes from an AI-powered chat, the system should capture more than contact information. Conversation summaries, question categories, urgency signals, service interest, and location or fit details should be organized in a way the right team can use. A transcript only creates value when it reaches the right person at the right time in a clear, readable format.
Business Agent for Leads points to a broader shift in digital marketing. The next competitive advantage may not come from generating the most form fills at the lowest possible cost, but from creating a better handoff between a prospect’s moment of interest and the sales conversation that follows.
When a lead arrives with no context, sales has to start from scratch. When that lead includes conversation history, sales has a clearer path forward. That context can improve response quality, close rates, pipeline efficiency, and alignment between marketing and sales.
Alipes helps businesses prepare for this shift by connecting paid media strategy with the systems that turn interest into revenue. That means building stronger content, structuring campaigns around real buyer questions, improving CRM workflows, and giving sales teams the context they need to follow up effectively.
The lead of the future may not arrive as a blank contact record. It may arrive with a conversation already attached. Businesses that know how to use that conversation will be in a stronger position to turn interest into action.
","date":1782878400000,"excerpt":"Google Business Agent for Leads is changing paid search by adding lead context, improving CRM handoffs, and helping sales teams follow up with stronger intent signals.
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That promise comes with responsibility: without clear rules, AI can create confusion. It can also cause people to trust an answer before anyone has checked whether it is accurate or appropriate.
Responsible AI implementation means using AI in a way your organization can explain and stand behind. Before AI becomes part of an important process, the business needs to know who owns it, who reviews it, and what happens when something goes wrong.
For mid-sized organizations, this does not require a large AI department. It requires a practical process that keeps people involved when a decision needs context or judgment.
Many organizations start by asking, “Which AI tool should we use?” A better first question is, “Where should AI help us make better decisions?”
AI can help teams work more efficiently, but it should not become the final decision-maker by default. If AI helps prioritize sales leads, a manager still needs to decide whether the recommendation makes sense. If AI drafts a customer response, someone still needs to make sure it is accurate before it is sent.
Responsible AI does not mean avoiding AI. It means using it in a way that keeps the business, not the tool, accountable.
Responsible AI implementation starts with a clear plan, not just a software choice. Before AI becomes part of the way a team works, the business needs simple guidelines for how it will be used, reviewed, and improved.
The National Institute of Standards and Technology, or NIST, offers an AI Risk Management Framework that can help organizations think through AI risk in a practical way. For a mid-sized business, the goal is not to copy a large enterprise model. The goal is to create a process that fits the business and the level of risk involved.
Before using AI in an important workflow, the organization should be able to answer a few basic questions: Who is responsible for the tool? What information is it allowed to use? Who checks the output before action is taken? When does a human need to step in?
These questions are not just compliance details. They are the foundation for trust.
Responsible AI does not just mean adding a quick approval step. It means giving people enough context to understand the AI’s output, question it, and decide what happens next.
A weak process gives a person an AI output and asks them to approve it with little context. A stronger process gives that person enough information to change the output, reject it, or escalate it.
This is especially important when a decision could affect a customer, employee, financial outcome, or business relationship. In those situations, AI should support the process. It should not replace human responsibility.
Responsible AI shows up in everyday workflows, not just in policy documents:
Mid-sized organizations do not need a complicated AI governance program to get started. They need a simple way to make ownership and review clear.
Start by assigning an owner to each AI use case. This person or team is responsible for how the tool is used and how its outputs are reviewed.
Next, decide how much review the use case needs. A low-risk task may only need a quick check. A workflow that affects hiring, pricing, customer eligibility, or financial decisions needs closer oversight.
The organization should also keep a basic record of where AI is being used. This helps leaders understand which tools are active, why they are being used, and who is responsible for them.
Finally, AI use should be reviewed over time. A tool that works well today may need adjustments as the business changes.
A responsible AI program can start with one specific workflow. Choose an area where AI could save time, improve consistency, or help people work through information faster.
Before expanding that use case, define the process. Decide what the AI is helping with, what information it can use, who reviews the output, and what happens if the result is wrong.
From there, assign an owner and check in regularly. The goal is to learn where AI is helping the business and where more oversight is needed.
Responsible AI implementation is not about slowing progress. It is about making AI useful in a way the business can trust.
Organizations that use AI well understand where it adds value and where human judgment needs to stay central. AI can support the work, but people remain responsible for the decisions.
For many businesses, the hardest part is knowing where AI fits, which workflows are worth improving, and how to put the right guardrails in place. Alipes helps organizations identify practical AI opportunities and build implementation plans that support real business goals.
Learn more about AI implementation with Alipes
Learn how businesses can implement AI responsibly with clear guidelines, human oversight, and practical governance that keeps teams accountable.
","featuredImage":"https://cdn.builder.io/api/v1/image/assets%2F0221da895e164e699d30aedc5a27a8f4%2Fe6a41e3daca24962b099ce448ca3a616","imageAlt":"AI assistant with business leader and data dashboards representing responsible AI governance, human oversight, and accountability","optimization":{"description":"Learn how businesses can implement AI responsibly with clear guidelines, human oversight, and practical governance that keeps teams accountable.","keyword":"responsible AI implementation","shareImage":"https://cdn.builder.io/api/v1/image/assets%2F0221da895e164e699d30aedc5a27a8f4%2Fe6a41e3daca24962b099ce448ca3a616","titleTag":"How businesses can implement AI responsibly without losing human oversight"},"slug":"responsible-ai-implementation-human-oversight","title":"How businesses can implement AI responsibly without losing human oversight"},"folders":[],"id":"5775852f836048239b25a9357b07b808","lastUpdated":1781798296411,"lastUpdatedBy":"DVtg8ADVEhhzNrUslAaG4WHlEcw2","meta":{"hasAutosaves":false,"hasErrors":false,"kind":"data","lastPreviewUrl":"https://main.d3njw7c4jbx3h3.amplifyapp.com/blog/preview?builder.space=0221da895e164e699d30aedc5a27a8f4&builder.user.permissions=read%2Ccreate%2Cpublish%2CeditCode%2CeditDesigns%2Cadmin%2CeditLayouts%2CeditLayers%2CeditContentPriority%2CeditFolders%2CeditProjects%2CmodifyMcpServers%2CmodifyWorkflowIntegrations%2CmodifyProjectSettings%2CconnectCodeRepository%2CcreateProjects%2CindexDesignSystems%2CsendPullRequests%2CmergePullRequests&builder.user.role.name=Admin&builder.user.role.id=admin&builder.cachebust=true&builder.preview=blog&builder.noCache=true&builder.allowTextEdit=true&__builder_editing__=true&builder.overrides.blog=5775852f836048239b25a9357b07b808&builder.overrides.5775852f836048239b25a9357b07b808=5775852f836048239b25a9357b07b808&builder.options.locale=Default"},"modelId":"ad31f0ecad9d4b10b8b6abde1db6f5d7","name":"How businesses can implement AI responsibly without losing human oversight","published":"published","query":[],"stageModifiedSincePublish":false,"testRatio":1,"variations":{},"firstPublished":1781798296379,"rev":"5bpuj8ahapn"},{"createdBy":"DVtg8ADVEhhzNrUslAaG4WHlEcw2","createdDate":1780935474843,"data":{"author":{"@type":"@builder.io/core:Reference","id":"0f17bd38b6744fd9a2e8bf3eae3cec9e","model":"staff"},"body":"Imagine you’re choosing project management software for a 20-person team. For years, that meant spending an hour on Google, opening a dozen tabs, comparing pricing tables, and hunting for Slack integrations.
Today, that search can be reduced to a single intent: “Find me a project management platform for 20 people that integrates with Slack and costs under $500/month.”
While you grab coffee, your AI assistant negotiates with software vendors on your behalf. Within seconds, it presents you with the winner. You didn't scroll past ads or compare landing pages. You just got the result you needed. That is the world AAMP 2.0 is preparing for: one where AI agents help people move from intent to action faster.
AAMP stands for Agentic Advertising Management Protocols. Think of it as a universal translator for AI. It allows a consumer’s AI agent to \"talk\" to a brand’s AI agent using a shared set of rules. It moves us away from fragmented search results and toward a world where machines can discover, negotiate, and transact on a human's behalf.
For years, brands competed for attention. The goal was to win the click, capture the impression, or show up higher in search.
In the agentic era, that is no longer enough. Brands also have to be easy for AI agents to understand.
If an AI agent cannot read your pricing, verify your availability, or confirm your security credentials, your brand may never make it into the recommendation set. You do not simply fall lower in the search results. You disappear before the customer ever sees you.
That is the new visibility challenge for brands: if your data is unclear, incomplete, or hard to verify, AI agents may move on to a competitor they can understand.
SEO has always been shaped by what people search for. But AI agents push the focus even further toward what people are trying to accomplish.
Someone searching for “marketing software” may still be browsing. Someone asking an AI assistant to find software with specific integrations, pricing, and team requirements is much closer to taking action.
That changes what brands need to optimize for. A big ad budget matters less if an AI agent cannot understand, verify, or compare the offer.
AI agents are not replacing today’s marketing playbook overnight, but they are changing what brands need to prepare for. Website readiness is part of that shift, which we explored in our post on preparing your website for the agentic web. AAMP 2.0 expands that conversation into advertising, visibility, and commerce by looking at how brands can make themselves easier for AI agents to understand, evaluate, and recommend. A good starting point is the information agents rely on most: your data, offer, and trust signals.
Your JSON-LD and schema markup help machines understand who you are, what you offer, and why you are relevant. If that information is outdated or incomplete, AI agents may have a harder time interpreting your brand.
Vague feature lists, hidden pricing, and unclear packages create friction. The easier it is for an AI agent to understand your product, pricing, availability, and fit, the more likely your brand is to be considered.
Verification, security credentials, reviews, policies, and industry registries all matter. In an agent-driven environment, trust may become one of the biggest factors in whether a recommendation turns into action.
The next “action” in marketing may not be a click. It may be an AI agent finding, verifying, and recommending your brand on a customer’s behalf. The medium is changing from pages and pixels to data and protocols, but the goal is still the same: when a customer has a need, your brand should be discoverable, credible, and easy to choose.
Learn what AAMP 2.0 means for agentic advertising and how brands can improve visibility by making their data, offers, and trust signals easier for AI agents to understand.
","featuredImage":"https://cdn.builder.io/api/v1/image/assets%2F0221da895e164e699d30aedc5a27a8f4%2F215756121f774574adaa5601ba6546d3","imageAlt":"Illustration of a green AI microchip above a hand, representing AAMP 2.0, agentic advertising, and AI-ready brand visibility for automated discovery.","optimization":{"description":"Learn what AAMP 2.0 means for agentic advertising and how brands can improve visibility by making their data, offers, and trust signals easier for AI agents to understand.","keyword":"AAMP 2.0","shareImage":"https://cdn.builder.io/api/v1/image/assets%2F0221da895e164e699d30aedc5a27a8f4%2F215756121f774574adaa5601ba6546d3","titleTag":"AAMP 2.0 explained: how AI agents are changing brand visibility"},"slug":"aamp-2-0-agentic-advertising-brand-visibility","title":"AAMP 2.0 explained: how AI agents are changing brand visibility"},"folders":[],"id":"558d1f483bcd462ab9a2707bddabb844","lastUpdated":1780935852651,"lastUpdatedBy":"DVtg8ADVEhhzNrUslAaG4WHlEcw2","meta":{"hasAutosaves":false,"hasErrors":false,"kind":"data","lastPreviewUrl":"https://main.d3njw7c4jbx3h3.amplifyapp.com/blog/preview?builder.space=0221da895e164e699d30aedc5a27a8f4&builder.user.permissions=read%2Ccreate%2Cpublish%2CeditCode%2CeditDesigns%2Cadmin%2CeditLayouts%2CeditLayers%2CeditContentPriority%2CeditFolders%2CeditProjects%2CmodifyMcpServers%2CmodifyWorkflowIntegrations%2CmodifyProjectSettings%2CconnectCodeRepository%2CcreateProjects%2CindexDesignSystems%2CsendPullRequests%2CmergePullRequests&builder.user.role.name=Admin&builder.user.role.id=admin&builder.cachebust=true&builder.preview=blog&builder.noCache=true&builder.allowTextEdit=true&__builder_editing__=true&builder.overrides.blog=558d1f483bcd462ab9a2707bddabb844&builder.overrides.558d1f483bcd462ab9a2707bddabb844=558d1f483bcd462ab9a2707bddabb844&builder.options.locale=Default"},"modelId":"ad31f0ecad9d4b10b8b6abde1db6f5d7","name":"AAMP 2.0 explained: how AI agents are changing brand visibility","published":"published","query":[],"stageModifiedSincePublish":false,"testRatio":1,"variations":{},"firstPublished":1780935852624,"rev":"5bpuj8ahapn"},{"createdBy":"DVtg8ADVEhhzNrUslAaG4WHlEcw2","createdDate":1779976599966,"data":{"author":{"@type":"@builder.io/core:Reference","id":"0f17bd38b6744fd9a2e8bf3eae3cec9e","model":"staff"},"body":"Before choosing an agency, define the problem.
Many businesses start with a service need: “We need SEO,” “We need a new website,” or “We need help with CRM.” A better starting point is the business issue behind the request. Are you trying to fix one specific problem, or are you trying to improve how several parts of your digital ecosystem work together?
The answer can point you toward the right kind of partner.
Your website is not producing enough qualified leads. At first, this sounds like a marketing problem: improve visibility, strengthen SEO, and make it easier for visitors to take the next step.
A closer look often shows a more connected problem. Poor rankings, unclear messaging, weak form data, limited sales visibility, and traffic-focused reporting can all affect lead quality. What first looked like an SEO or website issue is really a broader digital growth issue.
In that situation, a single specialist may improve one piece of the puzzle, but the business still needs someone to connect the rest.
A specialist agency works well when the issue is specific, contained, and clearly owned inside your business. If your internal team can manage the strategy, coordinate vendors, and connect the work to business goals, a specialist can bring valuable depth.
For example, if your website is performing well, your CRM is clean, your reporting is clear, and the main issue is technical SEO, a dedicated SEO agency may be the right choice. You get focused expertise from people who spend every day solving that type of problem.
The tradeoff is that someone on your side still has to manage the bigger picture. The SEO recommendations need to fit your website, your content strategy, your sales process, and your customer experience. If those connections are not managed, even strong specialist work can lose impact.
A full-service digital agency works well when the issue crosses teams, systems, channels, or customer touchpoints. Instead of looking at SEO, content, CRM, analytics, AI tools, and customer experience as separate projects, an integrated agency looks at how those pieces affect each other.
That broader view can help reduce friction, improve accountability, and turn scattered digital activity into a clearer growth strategy. If your website, lead generation, CRM, content, reporting, and customer experience all influence the same business goal, it often helps to have one partner thinking across the full picture.
The tradeoff is depth. Some full-service agencies are strong across many areas, while others are broader than they are deep. Businesses should look for a partner that is clear about its strengths, process, and where it brings in deeper expertise when needed.
Instead of asking, “Do we need a specialist or a full-service agency?” ask:
Is our main challenge depth, or is it coordination?
If the problem is narrow and clearly defined, a specialist may be the better fit. If the problem is connected across multiple parts of the business, a full-service agency may create more value.
Specialists bring depth. Integrated agencies bring connection. The right choice depends on what your business needs most right now.
Alipes is built for businesses that need the connected view. Sometimes that means improving a website. Sometimes it means aligning content, search, CRM, analytics, automation, AI tools, and customer experience around a clearer strategy.
At Alipes, the goal is to turn disconnected digital activity into a more coordinated strategy that supports real business outcomes: better leads, clearer reporting, stronger customer experiences, and more efficient growth.
If your digital efforts feel fragmented across platforms, teams, or vendors, Alipes can help you see what’s working, what’s missing, and where to go next. Contact Alipes to start building a clearer digital strategy.
If your vendors are making separate recommendations, your team is spending too much time managing handoffs, or your reporting does not show how digital work connects to revenue, the issue may be coordination. In that case, a full-service agency can help bring the work into one clearer strategy.
Yes. Some businesses use a full-service agency to manage the overall strategy and bring in specialists when deeper expertise is needed. This can work well as long as roles are clear and one partner owns the full picture.
You may have outgrown a specialist-only approach if improvements in one area keep creating problems in another. For example, SEO recommendations affect your website structure, CRM limitations affect lead quality, or reporting does not connect marketing activity to sales outcomes.
Not always. A full-service agency can sometimes work alongside existing partners and help coordinate the strategy. The goal is not necessarily to replace every vendor. It is to make sure the work is aligned and accountable.
Look for a partner that can explain how strategy, website, SEO, content, CRM, analytics, automation, AI tools, and customer experience connect. A good agency should also be clear about where it has deep in-house expertise and where it brings in additional specialists.
","date":1779976800000,"excerpt":"Should your business hire a specialist agency or a full-service digital agency? Learn the tradeoffs between deep expertise and an integrated digital strategy.
","featuredImage":"https://cdn.builder.io/api/v1/image/assets%2F0221da895e164e699d30aedc5a27a8f4%2Fa5db739304224daf9ddf0404d72110e1","imageAlt":"reen lightbulb and gear illustration symbolizing the choice between specialist agency expertise and full-service digital strategy.","optimization":{"description":"Should your business hire a specialist agency or a full-service digital agency? Learn the tradeoffs between deep expertise and an integrated digital strategy.\n\n","keyword":"specialist agency vs full-service agency","shareImage":"https://cdn.builder.io/api/v1/image/assets%2F0221da895e164e699d30aedc5a27a8f4%2Fa5db739304224daf9ddf0404d72110e1","titleTag":"Specialist agency vs. full-service digital agency: which is right for your business?"},"slug":"specialist-agency-vs-full-service-agency","title":"Specialist agency vs. full-service digital agency: which is right for your business?"},"folders":[],"id":"b13c6a27918241bba6e454333d8f41d2","lastUpdated":1779977875132,"lastUpdatedBy":"DVtg8ADVEhhzNrUslAaG4WHlEcw2","meta":{"hasAutosaves":false,"hasErrors":false,"kind":"data","lastPreviewUrl":"https://main.d3njw7c4jbx3h3.amplifyapp.com/blog/preview?builder.space=0221da895e164e699d30aedc5a27a8f4&builder.user.permissions=read%2Ccreate%2Cpublish%2CeditCode%2CeditDesigns%2Cadmin%2CeditLayouts%2CeditLayers%2CeditContentPriority%2CeditFolders%2CeditProjects%2CmodifyMcpServers%2CmodifyWorkflowIntegrations%2CmodifyProjectSettings%2CconnectCodeRepository%2CcreateProjects%2CindexDesignSystems%2CsendPullRequests%2CmergePullRequests&builder.user.role.name=Admin&builder.user.role.id=admin&builder.cachebust=true&builder.preview=blog&builder.noCache=true&builder.allowTextEdit=true&__builder_editing__=true&builder.overrides.blog=b13c6a27918241bba6e454333d8f41d2&builder.overrides.b13c6a27918241bba6e454333d8f41d2=b13c6a27918241bba6e454333d8f41d2&builder.options.locale=Default"},"modelId":"ad31f0ecad9d4b10b8b6abde1db6f5d7","name":"Specialist agency vs. full-service digital agency: which is right for your business?","published":"published","query":[],"stageModifiedSincePublish":false,"testRatio":1,"variations":{},"firstPublished":1779977658128,"rev":"5bpuj8ahapn"},{"createdBy":"DVtg8ADVEhhzNrUslAaG4WHlEcw2","createdDate":1779286303515,"data":{"author":{"@type":"@builder.io/core:Reference","id":"0f17bd38b6744fd9a2e8bf3eae3cec9e","model":"staff"},"body":"Everyone spent the last two years predicting that AI would kill Google. The logic seemed simple enough: if users could ask ChatGPT a question and get an instant answer, why would they ever return to search?
The latest data tells a different story. According to a report from Search Engine Land, 21.6% of all outbound clicks from ChatGPT now go directly to Google. That means more than one in five users who leave ChatGPT are heading straight back to search. Not because AI has failed, but because search behavior has changed.
Users are no longer using Google first and AI second. They are using AI first to refine their thinking, then using Google to validate what they found before they act. This is the ChatGPT-to-Google Referral Loop, and for brands, it changes everything.
ChatGPT has become the place where people bring messy, early-stage questions. They are not always typing neat keywords like “best CRM for manufacturers” or “digital strategy agency for nonprofits” anymore. They are asking bigger, more conversational questions: “What platforms can help a growing nonprofit improve donor engagement?” or “Which digital strategy agency understands the sales cycle for manufacturing and energy companies?”
These questions matter because they reveal intent before the user has even decided what to search. AI helps them narrow the field. Once the shortlist is formed, they go back to Google to verify what they have learned.
That second search is no longer about discovery. It is about trust.
This may be the biggest shift in digital strategy right now. Google is becoming less of a starting point and more of a validation layer. Users find the idea in AI, but they find the company on Google.
They want proof from reviews and case studies. They want to know whether the recommendation they just received is credible and relevant to their specific problem.
The need for validation becomes even stronger in high-stakes decisions. Nobody needs to run a second search after asking how to boil an egg. When someone is choosing a long-term marketing partner, evaluating a major website investment, or looking for a team that can help turn complex offerings into clearer demand, they are going to double-check. That is where the loop happens, and that is where serious buying intent lives.
Zero-click searches are also changing the value of website traffic. More users are getting answers directly from Google or AI without visiting a website at all. For brands, that can sound like a problem at first.
What matters most, though, is the quality of the traffic that remains. As casual visits drop off, the clicks that still happen tend to come from people who are further along in the decision-making process. They have already narrowed their options and are looking for proof before they move forward.
That means the goal is no longer simply more traffic. The goal is better traffic.
This is exactly why SEO strategy is changing. Visibility alone is no longer enough. Brands need to be discoverable in AI search and trusted in Google search.
This shift is one of the clearest signs that brands need to think beyond traditional SEO.
Ranking on Google still matters, but visibility inside AI platforms matters just as much. Buyers are now discovering brands in tools like ChatGPT and then turning to Google to validate what they find. That means your strategy has to work in both places.
This is where Answer Engine Optimization (AEO) comes in. It is not a replacement for SEO. It is the next layer of it.
The goal is no longer just ranking for keywords. It is becoming the answer AI trusts enough to mention and the brand Google confirms when buyers search again.
For a deeper look at how SEO and AEO work together, including how to build authority across both search engines and AI platforms, read our guide on How to Build Online Authority for SEO and AI Discovery
The first step is becoming a source that AI can understand and trust. Generic content will not be enough. Brands need clear expertise, original
insights, structured pages, strong author signals, and a consistent point of view. AI is not looking for another generic “ultimate guide” that says the same thing as every other blog post. It is looking for clear, trustworthy sources with original insights, real expertise, and content that directly answers specific questions.
The second step is owning your branded search results. When someone leaves ChatGPT and Googles your company, what do they find? If the results are thin, outdated, inconsistent, or dominated by third-party noise, trust disappears quickly. Your homepage, case studies, reviews, comparison pages, leadership content, and external mentions all work together to either confirm or weaken the recommendation.
The third step is building content around high-intent questions. Low-stakes informational content is more likely to stay inside AI. High-stakes commercial content is more likely to trigger the loop. That means brands should focus more heavily on service comparisons, vendor selection guides, industry-specific use cases, implementation content, and proof-led thought leadership.
For organizations that rely on trust, expertise, and long-term relationships, this shift matters. The brands that win in 2026 will not simply be the ones showing up in search. They will be the ones shaping the answer before the search even happens. They will appear when buyers ask AI who to trust, and they will show up again when those same buyers turn to Google to verify.
That is the new playbook. ChatGPT is the filter. Google is the proof. Your website is the decision point.
If your brand is not built for that journey yet, now is the time to fix it. Alipes helps organizations create the content, search presence, and digital strategy needed to earn trust at every step of the validation loop.
Ready to strengthen your visibility across both AI and search? Contact us to start the conversation.
ChatGPT is sending users back to Google to verify what they find. Learn what the validation loop means for SEO, AEO, and brand trust.
","featuredImage":"https://cdn.builder.io/api/v1/image/assets%2F0221da895e164e699d30aedc5a27a8f4%2Fabb08f1cac2348d1a8df863241741be8","imageAlt":"ChatGPT loop graphic showing users moving from ChatGPT to Google search and then to a validation checkmark for brand trust.","optimization":{"description":"ChatGPT is sending users back to Google to verify what they find. Learn what the validation loop means for SEO, AEO, and brand trust.","keyword":"ChatGPT loop","shareImage":"https://cdn.builder.io/api/v1/image/assets%2F0221da895e164e699d30aedc5a27a8f4%2Fabb08f1cac2348d1a8df863241741be8","titleTag":"The ChatGPT loop: why AI is sending users back to Google"},"slug":"the-chatgpt-loop-why-ai-is-sending-users-back-to-google","title":"The ChatGPT loop: why AI is sending users back to Google"},"folders":[],"id":"4e10a6432f89416796ed78773e5cdf00","lastUpdated":1779381337499,"lastUpdatedBy":"DVtg8ADVEhhzNrUslAaG4WHlEcw2","meta":{"hasAutosaves":false,"hasErrors":false,"kind":"data","lastPreviewUrl":"https://main.d3njw7c4jbx3h3.amplifyapp.com/blog/preview?builder.space=0221da895e164e699d30aedc5a27a8f4&builder.user.permissions=read%2Ccreate%2Cpublish%2CeditCode%2CeditDesigns%2Cadmin%2CeditLayouts%2CeditLayers%2CeditContentPriority%2CeditFolders%2CeditProjects%2CmodifyMcpServers%2CmodifyWorkflowIntegrations%2CmodifyProjectSettings%2CconnectCodeRepository%2CcreateProjects%2CindexDesignSystems%2CsendPullRequests%2CmergePullRequests&builder.user.role.name=Admin&builder.user.role.id=admin&builder.cachebust=true&builder.preview=blog&builder.noCache=true&builder.allowTextEdit=true&__builder_editing__=true&builder.overrides.blog=4e10a6432f89416796ed78773e5cdf00&builder.overrides.4e10a6432f89416796ed78773e5cdf00=4e10a6432f89416796ed78773e5cdf00&builder.options.locale=Default"},"modelId":"ad31f0ecad9d4b10b8b6abde1db6f5d7","name":"The ChatGPT loop: why AI is sending users back to Google","published":"published","query":[],"stageModifiedSincePublish":false,"testRatio":1,"variations":{},"firstPublished":1779381337468,"rev":"5bpuj8ahapn"},{"createdBy":"DVtg8ADVEhhzNrUslAaG4WHlEcw2","createdDate":1778605752726,"data":{"author":{"@type":"@builder.io/core:Reference","id":"0f17bd38b6744fd9a2e8bf3eae3cec9e","model":"staff"},"body":"Your business can publish every week and show up in search, then still lose the prospect to a competitor people trust more. Reach helps, but reach alone does not make a business credible. Authority does.
That gap matters more in 2026 because people no longer judge a company in one place. They compare what they find on Google with AI answers, review sites, LinkedIn, podcasts, and trade coverage. Your website still matters, but it is only part of the case you make for your business.
Search engines and AI products weigh many of the same signals. They look for expertise they can verify, answers that resolve the question, plus outside evidence that people trust what you publish. If you want a fuller view of how search and AI discovery overlap, our guide on Does AEO replace SEO, or do we need both? covers that in more detail.
Authority starts with useful answers. If someone asks how to improve local SEO, they should get the answer quickly, not after three paragraphs of setup. Good authority content states the point first and then adds context, examples, or proof.
Expertise also has to be visible. Readers should see who is speaking, why that person knows the subject, and where the information comes from. Named authors, solid bios, transparent sourcing, and examples from real client work do more than generic copy ever will. Google's E-E-A-T guidance points the same way. Expertise must be shown, not implied.
Depth matters too. One decent article will not make a company the default source in its category. Authority grows when a site covers its core topics from several angles over time. A firm that sells marketing strategy should not stop at one broad page. It should also publish on local SEO, technical SEO, analytics, digital PR, content strategy, and conversion work. That range is how a reader learns what the firm truly knows.
Original information helps even more. Case studies, benchmarks, customer patterns, and informed commentary give people a reason to cite you instead of paraphrasing someone else. When that work is quoted by publications your buyers already respect, the effect carries beyond your own site.
Authority also depends on what exists outside your site. Reviews, podcast appearances, LinkedIn activity, press mentions, and third-party citations all shape whether a business looks credible. AI systems are not reading your homepage in a vacuum. They draw from the wider record attached to your name. Pew Research Center has found that AI summaries reduce clicks on standard search results, which makes it even more valuable to be the source people already trust.
Authority pays off over time. A trusted business is easier to choose, easier to cite, and easier to remember when a buyer is comparing similar options.
That is why durable growth usually comes from a clear reputation, not from chasing every ranking opportunity that appears. The useful question is “what would make your business the source people trust in its category?” Answer that well, and search performance usually improves. AI systems have more reason to cite you, and buyers also arrive with more confidence.
","date":1778605200549,"excerpt":"Learn why online authority matters more than visibility in 2026 and how trust, expertise, content depth, and external validation drive long-term growth.
","featuredImage":"https://cdn.builder.io/api/v1/image/assets%2F0221da895e164e699d30aedc5a27a8f4%2F04c6812cbea74413abe648063c9ed305","imageAlt":"Illustration of a green hand holding an open book with a glowing lightbulb, symbolizing how authority and expertise drive long-term online growth.","optimization":{"description":"Learn why online authority matters more than visibility in 2026 and how trust, expertise, content depth, and external validation drive long-term growth.","keyword":"online authority","shareImage":"https://cdn.builder.io/api/v1/image/assets%2F0221da895e164e699d30aedc5a27a8f4%2F04c6812cbea74413abe648063c9ed305","titleTag":"Why authority is the key to long-term online growth"},"slug":"why-authority-is-the-key-to-long-term-online-growth","title":"Why authority is the key to long-term online growth"},"folders":[],"id":"f4adff97c1324e8b9ad925262e8f1e08","lastUpdated":1778689081660,"lastUpdatedBy":"ob9Ew3Ga5QTiEeR9tihGw1AJjDI3","meta":{"hasAutosaves":false,"hasErrors":false,"kind":"data","lastPreviewUrl":"https://main.d3njw7c4jbx3h3.amplifyapp.com/blog/preview?builder.space=0221da895e164e699d30aedc5a27a8f4&builder.user.permissions=read%2Ccreate%2Cpublish%2CeditCode%2CeditDesigns%2Cadmin%2CeditLayouts%2CeditLayers%2CeditContentPriority%2CeditFolders%2CeditProjects%2CmodifyMcpServers%2CmodifyWorkflowIntegrations%2CmodifyProjectSettings%2CconnectCodeRepository%2CcreateProjects%2CindexDesignSystems%2CsendPullRequests%2CmergePullRequests&builder.user.role.name=Admin&builder.user.role.id=admin&builder.cachebust=true&builder.preview=blog&builder.noCache=true&builder.allowTextEdit=true&__builder_editing__=true&builder.overrides.blog=f4adff97c1324e8b9ad925262e8f1e08&builder.overrides.f4adff97c1324e8b9ad925262e8f1e08=f4adff97c1324e8b9ad925262e8f1e08&builder.options.includeRefs=true&builder.options.enrich=true&builder.options.locale=Default"},"modelId":"ad31f0ecad9d4b10b8b6abde1db6f5d7","name":"Why authority is the key to long-term online growth","published":"published","query":[],"stageModifiedSincePublish":false,"testRatio":1,"variations":{},"firstPublished":1778606268449,"rev":"5bpuj8ahapn"},{"createdBy":"DVtg8ADVEhhzNrUslAaG4WHlEcw2","createdDate":1778171376018,"data":{"author":{"@type":"@builder.io/core:Reference","id":"0f17bd38b6744fd9a2e8bf3eae3cec9e","model":"staff"},"body":"In April 2026, a founder watched an AI agent do something no business owner ever wants to see.
Jer Crane, founder of PocketOS, described the incident in a post on X, saying an AI coding agent deleted the company’s production database and volume-level backups in a single API call. According to third-party reporting, the incident took nine seconds and affected a company serving car rental businesses, where reservations, customer data, and daily operations were suddenly at risk.
The most unsettling part was not simply that the AI acted quickly. It was that, when asked what happened, the agent reportedly admitted it had guessed, skipped verification, and taken destructive action without fully understanding the consequences.
That is the real warning. The danger of AI is not that it is useless. The danger is that it can be useful, fast, confident, and completely wrong at the worst possible moment.
Much of today’s AI conversation is focused on efficiency: moving faster, reducing friction, and doing more with less. Efficiency matters, especially for teams under pressure to keep up with growing demands.
The risk begins when efficiency becomes the only goal and human judgment starts to look optional.
AI can summarize, draft, sort, generate, classify, predict, and accelerate. It can help a team move faster than ever, but it cannot care about the larger outcome. It does not understand the weight of your client relationships, your brand reputation, or the trust you have built with customers. It does not lose sleep over a launch that goes sideways, a message that alienates your audience, or a workflow that quietly breaks something important.
This is the context gap.
AI may understand the instruction: fix the error. It may not understand the consequence: if the data disappears, the business may not survive.
This is why the better framing is not “AI as a replacement,” but “AI as a power tool.”
A power tool can help a skilled person build faster, cleaner, and with more precision. It can multiply the ability of someone who knows what they are doing, but it does not replace the architect, inspect the foundation, or carry the consequences when something fails. When used well, AI gives people leverage. When used carelessly, it gives a fast-moving system the authority to make decisions it does not truly understand.
The same principle applies to marketing, web development, content strategy, automation, analytics, and digital operations. AI can generate 50 campaign angles in seconds, but a human strategist knows which three are worth exploring. AI can draft a landing page, but a human expert knows whether the message fits the audience, the brand, the offer, and the moment.
There is a big difference between using AI and handing your business over to it.
AI-assisted work has clear goals, smart prompts, trained operators, review steps, access limits, and human accountability. It treats AI like a powerful tool inside a thoughtful process.
AI-abandoned work gives the tool too much authority, too little context, and not enough meaningful supervision. It treats AI’s ability to produce an answer as if it were the same thing as judgment.
The lesson from the 9-second meltdown is not “never use AI.” The real lesson is that AI should not hold the keys to the kingdom.
At Alipes, we believe AI belongs in the hands of experienced people, where speed is balanced by strategy, judgment, and accountability. Our team brings strategy, creative, and technology together under one roof, which is especially important in the AI era because AI decisions rarely stay in one lane. A technical shortcut can become a brand problem. Content automation can create legal, ethical, or trust concerns. A workflow improvement can become a customer experience failure if no one is watching the larger system.
The right partner looks at the whole picture before deciding where AI fits. What should AI be allowed to touch? What should always require human approval? Where could one bad output create real business damage?
These questions are not anti-AI. They are pro-business, and they guide how we use AI inside our own team. In How Our Team Uses AI to Work Smarter, we share how AI helps us streamline workflows, spark ideas, and support better work without removing human direction from the process.
That is how companies capture the benefits of AI without pretending the risks do not exist.
At Alipes, we use advanced tools to help clients move faster, work smarter, and uncover new opportunities, but we also believe the most important parts of strategy should remain human-led.
AI can assist. It can accelerate and sharpen the work. The key is knowing where the tool should help and where human judgment must lead.
It should never be left alone with the keys to the kingdom.
AI can replace certain tasks, especially repetitive or rules-based work. It should not replace human judgment in areas that involve strategy, ethics, customer trust, brand reputation, or high-risk decisions.
One major risk is giving AI too much authority without enough oversight. AI can act quickly, but it may lack the business context needed to understand the consequences of its actions.
Companies should use AI with clear permissions, human review, access limits, approval steps, and recovery plans. Critical processes should always include human oversight.
A tool supports skilled people. A contractor is expected to understand goals, consequences, and accountability. AI can assist with speed and execution, but human experts still need to guide strategy and final decisions.
","date":1778126400000,"excerpt":"A recent AI agent meltdown shows why replacing human judgment with automation creates serious business risk. Alipes explains how to use AI safely, strategically, and effectively.
","featuredImage":"https://cdn.builder.io/api/v1/image/assets%2F0221da895e164e699d30aedc5a27a8f4%2F3eed8c33ab0c419c9fa8a4ff0db24674","imageAlt":"AI robot hand and human hand holding broken puzzle pieces, symbolizing the business risk of replacing human judgment with automation and the need for safe, strategic AI use.","optimization":{"description":"A recent AI agent meltdown shows why replacing human judgment with automation creates serious business risk. Alipes explains how to use AI safely, strategically, and effectively.","keyword":"AI as a tool","shareImage":"https://cdn.builder.io/api/v1/image/assets%2F0221da895e164e699d30aedc5a27a8f4%2F3eed8c33ab0c419c9fa8a4ff0db24674","titleTag":"The 9-second meltdown: why AI is a tool, not a replacement"},"slug":"why-ai-is-a-tool-not-replacement","title":"The 9-second meltdown: why AI is a tool, not a replacement"},"folders":[],"id":"69ba7405b60547719cab24db6fcfa333","lastUpdated":1778172237000,"lastUpdatedBy":"DVtg8ADVEhhzNrUslAaG4WHlEcw2","meta":{"hasAutosaves":false,"kind":"data","lastPreviewUrl":"https://main.d3njw7c4jbx3h3.amplifyapp.com/blog/preview?builder.space=0221da895e164e699d30aedc5a27a8f4&builder.user.permissions=read%2Ccreate%2Cpublish%2CeditCode%2CeditDesigns%2Cadmin%2CeditLayouts%2CeditLayers%2CeditContentPriority%2CeditFolders%2CeditProjects%2CmodifyMcpServers%2CmodifyWorkflowIntegrations%2CmodifyProjectSettings%2CconnectCodeRepository%2CcreateProjects%2CindexDesignSystems%2CsendPullRequests%2CmergePullRequests&builder.user.role.name=Admin&builder.user.role.id=admin&builder.cachebust=true&builder.preview=blog&builder.noCache=true&builder.allowTextEdit=true&__builder_editing__=true&builder.overrides.blog=69ba7405b60547719cab24db6fcfa333&builder.overrides.69ba7405b60547719cab24db6fcfa333=69ba7405b60547719cab24db6fcfa333&builder.options.includeRefs=true&builder.options.enrich=true&builder.options.locale=Default"},"modelId":"ad31f0ecad9d4b10b8b6abde1db6f5d7","name":"The 9-second meltdown: why AI is a tool, not a replacement","published":"published","query":[],"stageModifiedSincePublish":false,"testRatio":1,"variations":{},"firstPublished":1778172236968,"rev":"5bpuj8ahapn"},{"createdBy":"DVtg8ADVEhhzNrUslAaG4WHlEcw2","createdDate":1777566397045,"data":{"author":{"@type":"@builder.io/core:Reference","id":"0f17bd38b6744fd9a2e8bf3eae3cec9e","model":"staff"},"body":"If you want to build authority online in 2026, you should stop thinking about SEO and AEO as separate strategies. SEO (search engine optimization) is about improving visibility in traditional search results. AEO (answer engine optimization) is about improving your chances of being cited or recommended in AI tools like ChatGPT, Perplexity, Google AI Overviews, and voice assistants. The goal is the same in both cases: become the most credible, relevant answer to the question your audience is asking.
That is why the smartest approach is not choosing one over the other. It is building content and brand signals that work in both environments.
In the past, authority online was often tied to rankings, backlinks, and domain strength. Those things still matter. AI-driven discovery has added another requirement: your expertise has to be easy to understand, verify, and extract.
That means the brands that win are the ones publishing content that is clear, specific, well-structured, current, and backed by real expertise.
Google’s own documentation says that standard SEO best practices still apply to AI features like AI Overviews and AI Mode. In other words, the fundamentals have not changed. The bar for clarity has.
The brands that build authority consistently tend to do a few things well:
Content that buries the answer usually underperforms in both search and AI. Start with a clear response, then expand with useful detail.
Use named authors, strong bio pages, real experience, and transparent sourcing. Expertise should be visible, not assumed.
One good article is not enough. Authority grows when your site consistently covers a topic from multiple angles.
Research, benchmarks, case studies, and expert insights are far more citable than generic opinions.
Structured data helps search engines and AI systems understand what your pages are about, who wrote them, and what questions they answer.
Authority is reinforced by consistency: your site, LinkedIn, press mentions, author bios, reviews, and third-party citations should all tell the same story.
AI visibility is not abstract anymore. OpenAI documents that ChatGPT referrals can be tracked in analytics, including utm_source=chatgpt.com.
Search behavior is changing. Pew Research found that users were less likely to click traditional search results when an AI summary appeared, which means visibility alone is no longer enough. Being the cited source matters more.
At the same time, Adobe reported that AI-driven traffic to U.S. retail sites rose 393% year over year in Q1 2026, showing that AI discovery is already becoming a meaningful source of qualified visits.
AEO and SEO are complementary, not competing.
Traditional SEO still matters because it helps your content get found. AEO matters because it improves your chances of becoming the answer AI systems cite and recommend. The brands that perform best in both are the ones that create genuinely useful content, show real expertise, structure information clearly, and build trust across the web.
Authority in 2026 is not about chasing algorithms. It is about being the source both search engines and AI systems can trust.
SEO focuses on visibility in traditional search results. AEO focuses on being cited or recommended by AI-powered answer engines.
No. AEO is extending SEO, not replacing it. The strongest content strategies support both.
Clear, expert-led, evidence-backed content performs best, especially when it includes original insights or research.
Yes. Schema helps machines understand your content more clearly, even if it does not guarantee visibility on its own.
Learn how to build online authority for SEO and AI discovery with credible content, expert signals, schema, and stronger brand visibility.
","featuredImage":"https://cdn.builder.io/api/v1/image/assets%2F0221da895e164e699d30aedc5a27a8f4%2Ff978efdcf4294e04bae79b9c2f19f97f","imageAlt":"Glowing magnifying glass with stars on a dark background, symbolizing online authority, SEO visibility, and AI discovery.","optimization":{"description":"Learn how to build online authority for SEO and AI discovery with credible content, expert signals, schema, and stronger brand visibility.","keyword":"Build authority online","shareImage":"https://cdn.builder.io/api/v1/image/assets%2F0221da895e164e699d30aedc5a27a8f4%2Ff978efdcf4294e04bae79b9c2f19f97f","titleTag":"How to Build Online Authority for SEO and AI Discovery"},"slug":"how-to-build-online-authority-for-seo-and-ai-discovery","title":"How to build online authority for SEO and AI discovery"},"folders":[],"id":"74fecd6a98c342adac5c8343432cfb0a","lastUpdated":1778689178983,"lastUpdatedBy":"ob9Ew3Ga5QTiEeR9tihGw1AJjDI3","meta":{"hasAutosaves":false,"hasErrors":false,"kind":"data","lastPreviewUrl":"https://main.d3njw7c4jbx3h3.amplifyapp.com/blog/preview?builder.space=0221da895e164e699d30aedc5a27a8f4&builder.user.permissions=read%2Ccreate%2Cpublish%2CeditCode%2CeditDesigns%2Cadmin%2CeditLayouts%2CeditLayers%2CeditContentPriority%2CeditFolders%2CeditProjects%2CmodifyMcpServers%2CmodifyWorkflowIntegrations%2CmodifyProjectSettings%2CconnectCodeRepository%2CcreateProjects%2CindexDesignSystems%2CsendPullRequests%2CmergePullRequests&builder.user.role.name=Admin&builder.user.role.id=admin&builder.cachebust=true&builder.preview=blog&builder.noCache=true&builder.allowTextEdit=true&__builder_editing__=true&builder.overrides.blog=74fecd6a98c342adac5c8343432cfb0a&builder.overrides.74fecd6a98c342adac5c8343432cfb0a=74fecd6a98c342adac5c8343432cfb0a&builder.options.includeRefs=true&builder.options.enrich=true&builder.options.locale=Default"},"modelId":"ad31f0ecad9d4b10b8b6abde1db6f5d7","name":"How to build online authority for SEO and AI discovery","published":"published","query":[],"stageModifiedSincePublish":false,"testRatio":1,"variations":{},"firstPublished":1777567014695,"rev":"5bpuj8ahapn"},{"createdBy":"DVtg8ADVEhhzNrUslAaG4WHlEcw2","createdDate":1774642915140,"data":{"author":{"@type":"@builder.io/core:Reference","id":"0f17bd38b6744fd9a2e8bf3eae3cec9e","model":"staff"},"body":"AI interview simulators are becoming a practical way to help students prepare for real conversations without adding pressure or complexity to the learning experience. When Accounting+ asked us to build an AI interview simulator for their platform, the goal was not to create a large feature, but a focused LLM-powered mock interview tool that students would actually use. The experience needed to fit cleanly into the existing platform while delivering immediate value through a simple, conversational AI mock interview.
This project became a good example of something we see often with AI. Small, well-structured integrations can create more engagement than large feature builds when the experience is designed around a real user goal.
You can read the full case study here.
The request from Accounting+ was straightforward: students needed a better way to prepare for interviews, but the solution had to feel supportive and easy to use while fitting inside the existing platform without requiring a rebuild. Instead of starting with AI features, we focused on the experience itself. What would make a student actually start the interview, finish it, and feel more confident afterward? That question shaped the entire design.
We built the simulator as a guided conversation instead of a traditional training module. The goal was to mirror a real interview in a format that feels simple on mobile, clear to follow, and encouraging from start to finish. This approach also allowed the tool to stay flexible, since the system was designed so new questions and flows can be added without heavy development work.
The full case study goes deeper into how the workflow was structured, but the key idea was to keep the interaction focused, intentional, and easy to complete.
After launch, the results were stronger than expected. With very little promotion, the mock interview moved into the platform’s top tier for engagement and depth, reaching a 96% engagement rate and contributing to a 70% increase in student signups. What made this especially interesting was that the tool itself was relatively small compared to other features in the platform.
This is something we see often. When an AI tool is built around a clear action that users already want to take, it can outperform much larger content investments, even when the feature itself is relatively small.
One of the biggest benefits of the mock interview was not just usage. It helped surface students who were serious about career preparation. Because the experience requires real participation, it naturally highlighted high-intent users, giving Accounting+ a stronger signal for identifying students who were ready for the next step.
That kind of signal is often more valuable than raw traffic numbers, especially in education platforms where engagement quality matters more than volume.
Projects like this reinforce a pattern we see across many AI builds. The most effective tools are not always the most complex ones. They work because they fit into an existing workflow, solve one clear problem, feel natural to use, and deliver value immediately.
When those pieces are in place, even a small LLM integration can have a measurable impact. At Alipes, this is the approach we take with AI development. We focus on structure, usability, and real outcomes instead of adding technology for its own sake.
This project is a good example of how focused AI integrations can create real results without requiring a full rebuild. In many cases, the challenge is not the model itself, but designing the right workflow around it.
If you are considering an AI feature, interview simulator, or conversational tool for your platform, we can help you plan and build it in a way that fits your existing system.
Learn more about our AI development work.
FAQ: AI interview simulators and LLM mock interview tools
An AI interview simulator is a conversational tool that allows users to practice interview questions in a realistic format using a language model.
Because they require active participation and provide immediate feedback, users are more likely to complete the experience compared to static content.
Not always. This project showed that a focused LLM integration can produce strong results without a full platform rebuild.
The full workflow, design approach, and results are covered in the case study.
AI interview simulator case study: how a focused LLM mock interview tool drove a 96% engagement rate and increased signups 70% without rebuilding the platform.
","featuredImage":"https://cdn.builder.io/api/v1/image/assets%2F0221da895e164e699d30aedc5a27a8f4%2F7268f9fcb8ac4334a448c9a44e05d515","imageAlt":"Person using a laptop to complete an AI interview simulator, with a virtual interview question displayed on screen, voice-to-text option enabled, and a countdown timer visible beside a notebook on the desk.","optimization":{"description":"AI interview simulator case study: how a focused LLM mock interview tool drove a 96% engagement rate and increased signups 70% without rebuilding the platform.","keyword":"Ai interview simulator","shareImage":"https://cdn.builder.io/api/v1/image/assets%2F0221da895e164e699d30aedc5a27a8f4%2F7268f9fcb8ac4334a448c9a44e05d515","titleTag":"How we built an AI interview simulator students actually want to use"},"slug":"how-we-built-an-ai-interview-simulator-students-actually-want-to-use","title":"How we built an AI interview simulator students actually want to use"},"folders":[],"id":"694a7cc5917b425d84d185dbf99d41d5","lastUpdated":1774643635580,"lastUpdatedBy":"DVtg8ADVEhhzNrUslAaG4WHlEcw2","meta":{"hasAutosaves":true,"kind":"data","lastPreviewUrl":"https://main.d3njw7c4jbx3h3.amplifyapp.com/blog/preview?builder.space=0221da895e164e699d30aedc5a27a8f4&builder.user.permissions=read%2Ccreate%2Cpublish%2CeditCode%2CeditDesigns%2Cadmin%2CeditLayouts%2CeditLayers%2CeditContentPriority%2CeditFolders%2CeditProjects%2CmodifyMcpServers%2CmodifyWorkflowIntegrations%2CmodifyProjectSettings%2CconnectCodeRepository%2CcreateProjects%2CindexDesignSystems%2CsendPullRequests%2CmergePullRequests&builder.user.role.name=Admin&builder.user.role.id=admin&builder.cachebust=true&builder.preview=blog&builder.noCache=true&builder.allowTextEdit=true&__builder_editing__=true&builder.overrides.blog=694a7cc5917b425d84d185dbf99d41d5&builder.overrides.694a7cc5917b425d84d185dbf99d41d5=694a7cc5917b425d84d185dbf99d41d5&builder.options.locale=Default"},"modelId":"ad31f0ecad9d4b10b8b6abde1db6f5d7","name":"How we built an AI interview simulator students actually want to use","published":"published","query":[],"testRatio":1,"variations":{},"firstPublished":1774643433647,"rev":"5bpuj8ahapn"},{"createdBy":"DVtg8ADVEhhzNrUslAaG4WHlEcw2","createdDate":1772809409774,"data":{"author":{"@type":"@builder.io/core:Reference","id":"0f17bd38b6744fd9a2e8bf3eae3cec9e","model":"staff"},"body":"In the last few weeks, the way we use the internet has undergone a quiet but massive shift. Google and Microsoft have begun rolling out a new standard called WebMCP (Web Model Context Protocol).
For years, we have built websites for human eyes. But in 2026, a growing chunk of your traffic is now coming from AI assistants acting on behalf of your customers. Until now, these agents had to \"squint\" at your site and guess how to use it. WebMCP changes that by giving your website a direct way to talk to these AI agents.
Instead of an AI assistant struggling to find your \"Order Now\" button, your site can now hand the AI a direct \"menu\" of actions. This makes every interaction faster and nearly 100% accurate.
The good news is that you do not need a total website rebuild or a massive data project to stay relevant. WebMCP is designed to sit right on top of the tools you already use every day.
At Alipes, we focus on helping you navigate this shift by integrating smart, safe AI features into your existing workflows. We skip the jargon and the heavy data projects, providing a clear action plan to help your business evolve alongside these new standards.
Contact us to see how we can set you up for this new change.
","date":1772809200000,"excerpt":"Is your website ready for the agentic web? Learn how the new WebMCP protocol from Google and Microsoft helps AI agents navigate and use your site with nearly 100% accuracy.
","featuredImage":"https://cdn.builder.io/api/v1/image/assets%2F0221da895e164e699d30aedc5a27a8f4%2Fa71d6fd69bea46239c3d1c21adab81b9","imageAlt":"Illustration of a developer reviewing a website with an AI assistant robot, representing website readiness for the agentic web and AI agents","optimization":{"description":"Is your website ready for the agentic web? Learn how the new WebMCP protocol from Google and Microsoft helps AI agents navigate and use your site with nearly 100% accuracy.","keyword":"agentic web","shareImage":"https://cdn.builder.io/api/v1/image/assets%2F0221da895e164e699d30aedc5a27a8f4%2Fa71d6fd69bea46239c3d1c21adab81b9","titleTag":"Is your website ready for the agentic web?"},"slug":"is-your-website-ready-for-the-agentic-web","subtitle":"Is your website ready for the agentic web? Learn how the new WebMCP protocol from Google and Microsoft helps AI agents navigate and use your site with nearly 100% accuracy.
","title":"Is your website ready for the agentic web?"},"folders":[],"id":"f988619584e14ed8b6fd0cc34f84b5cd","lastUpdated":1772810458077,"lastUpdatedBy":"DVtg8ADVEhhzNrUslAaG4WHlEcw2","meta":{"hasAutosaves":false,"kind":"data","lastPreviewUrl":"https://main.d3njw7c4jbx3h3.amplifyapp.com/blog/preview?builder.space=0221da895e164e699d30aedc5a27a8f4&builder.user.permissions=read%2Ccreate%2Cpublish%2CeditCode%2CeditDesigns%2Cadmin%2CeditLayouts%2CeditLayers%2CeditContentPriority%2CeditFolders%2CeditProjects%2CmodifyMcpServers%2CmodifyWorkflowIntegrations%2CmodifyProjectSettings%2CconnectCodeRepository%2CcreateProjects%2CindexDesignSystems%2CsendPullRequests&builder.user.role.name=Admin&builder.user.role.id=admin&builder.cachebust=true&builder.preview=blog&builder.noCache=true&builder.allowTextEdit=true&__builder_editing__=true&builder.overrides.blog=f988619584e14ed8b6fd0cc34f84b5cd&builder.overrides.f988619584e14ed8b6fd0cc34f84b5cd=f988619584e14ed8b6fd0cc34f84b5cd&builder.options.locale=Default"},"modelId":"ad31f0ecad9d4b10b8b6abde1db6f5d7","name":"Is your website ready for the agentic web?","published":"published","query":[],"testRatio":1,"variations":{},"firstPublished":1772810458036,"rev":"5bpuj8ahapn"},{"createdBy":"DVtg8ADVEhhzNrUslAaG4WHlEcw2","createdDate":1770308341115,"data":{"author":{"@type":"@builder.io/core:Reference","id":"0f17bd38b6744fd9a2e8bf3eae3cec9e","model":"staff"},"body":"With the Patriots officially heading back to the Super Bowl on February 8, there is a lot of anticipation around our agency. We have a few members on our team who are huge fans, and their excitement for this return to the big stage has definitely made the lead-up to the game more interesting.
While the football is the main event, we are also paying close attention to how the nation’s biggest brands are showing up during the breaks. Super Bowl creative can be hit or miss, but the 2026 lineup shows a refreshing shift toward cinematic storytelling and self-aware humor. Here are four confirmed commercials to watch for on Sunday.
1. Hellmann’s: \"Meal Diamond\" This one hits close to home for anyone who has spent time in New England. Hellmann’s is leaning into a regional anthem by having Andy Samberg parody Neil Diamond. He will be performing a mayo-themed remix of \"Sweet Caroline,\" renamed \"Sweet Sandwich Time,\" alongside Elle Fanning.
2. Squarespace: “Unavailable” Squarespace often sets the bar for visual identity, but this year, they have gone full cinema mode. Reunited with director Yorgos Lanthimos, Emma Stone stars in a moody, black-and-white spot titled \"Unavailable.\" This quiet, cinematic approach is a smart tactical move to command the viewer’s full attention.
3. Instacart: \"Bananas\" Instacart is leaning into a retro-disco aesthetic with an unlikely duo: Ben Stiller and Benson Boone. Directed by Spike Jonze and shot on vintage tube cameras for an authentic 70s look, the ad features the two as a musical pair singing about their new Preference Picker tool.
4. Uber Eats: \"Build Your Own Super Bowl Commercial\" Uber Eats is taking a highly interactive approach this year with a campaign featuring Matthew McConaughey and Bradley Cooper. Instead of a traditional linear ad, they are launching a \"Build Your Own Super Bowl Commercial\" experience that allows fans to use an AI-driven tool to mix and match celebrity cameos and punchlines. It is a smart way to turn a 30-second spot into an ongoing digital engagement
Between the Patriots' return and the creative swings we are seeing from these brands, February 8th is shaping up to be a significant night. We will be watching closely to see which of these campaigns actually lands successfully and which ones find a way to cut through the noise.
As the Patriots return to Super Bowl LX, we break down four must-watch 2026 Super Bowl commercials—from Hellmann’s to Uber Eats—blending cinematic storytelling and smart humor.
","featuredImage":"https://cdn.builder.io/api/v1/image/assets%2F0221da895e164e699d30aedc5a27a8f4%2Fca196f42c1ee446eac6f2928f131332c","imageAlt":"Game Day football illustration for the upcoming Super Bow","legacyAuthor":"","optimization":{"description":"As the Patriots return to Super Bowl LX, we break down four must-watch 2026 Super Bowl commercials—from Hellmann’s to Uber Eats—blending cinematic storytelling and smart humor.","keyword":"Super Bowl Commercial","shareImage":"https://cdn.builder.io/api/v1/image/assets%2F0221da895e164e699d30aedc5a27a8f4%2Fd742a3de914f414db094d646c4a4091f","titleTag":"The Patriots are back: 2026 Super Bowl LX ads to watch"},"slug":"the-patriots-are-back-2026-super-bowl-lx-ads-to-watch","title":"The Patriots are back: 2026 Super Bowl LX ads to watch"},"folders":[],"id":"6bb8cecbaf304840be633ab2cbc6ae56","lastUpdated":1770309351181,"lastUpdatedBy":"DVtg8ADVEhhzNrUslAaG4WHlEcw2","meta":{"hasAutosaves":false,"kind":"data","lastPreviewUrl":"https://main.d3njw7c4jbx3h3.amplifyapp.com/preview/blog?builder.space=0221da895e164e699d30aedc5a27a8f4&builder.user.permissions=read%2Ccreate%2Cpublish%2CeditCode%2CeditDesigns%2Cadmin%2CeditLayouts%2CeditLayers%2CeditContentPriority%2CeditFolders%2CeditProjects%2CmodifyMcpServers%2CmodifyWorkflowIntegrations%2CmodifyProjectSettings%2CconnectCodeRepository%2CcreateProjects%2CindexDesignSystems%2CsendPullRequests&builder.user.role.name=Admin&builder.user.role.id=admin&builder.cachebust=true&builder.preview=blog&builder.noCache=true&builder.allowTextEdit=true&__builder_editing__=true&builder.overrides.blog=6bb8cecbaf304840be633ab2cbc6ae56&builder.overrides.6bb8cecbaf304840be633ab2cbc6ae56=6bb8cecbaf304840be633ab2cbc6ae56&builder.options.locale=Default"},"modelId":"ad31f0ecad9d4b10b8b6abde1db6f5d7","name":"The Patriots are back: 2026 Super Bowl LX ads to watch","published":"published","query":[],"testRatio":1,"variations":{},"firstPublished":1770308750683,"rev":"5bpuj8ahapn"},{"createdBy":"DVtg8ADVEhhzNrUslAaG4WHlEcw2","createdDate":1768334199502,"data":{"author":{"@type":"@builder.io/core:Reference","id":"0f17bd38b6744fd9a2e8bf3eae3cec9e","model":"staff"},"body":"We hear this often from business owners. Customers are still finding their way to their business online, but the journey no longer follows a clear or familiar path. Traffic and leads seem less predictable, even when demand remains unchanged.
That shift largely comes down to how people search today.
More and more consumers are starting with AI.
Recent research shows that 37% of consumers now begin their searches using an AI tool rather than a traditional search engine. As AI becomes faster, easier to use, and more accessible, that number continues to grow.
When people need information quickly, they want clear answers without sorting through ads and endless links. AI tools offer exactly that experience, which is why so many people are using them as a starting point.
The same study found that 60% of users feel AI provides clearer answers, and 47% say it influences which businesses they trust.
From a business perspective, this matters more than many realize. AI is often shaping opinions and narrowing options before a customer ever visits a website.
When someone asks an AI tool for recommendations, they usually see a short explanation or a small list of options. Those few names become the ones that get researched further.
If your business is not mentioned, you may never be considered at all.
In many cases, this has less to do with the quality of your service and more to do with how clearly your business is represented online. AI systems tend to surface businesses that are easy to understand, clearly explained, and supported by helpful, trustworthy content.
AI may guide the initial search, but it rarely makes the final decision alone. Roughly 85% of users say they still verify AI responses, especially before choosing a business.
Once a potential customer lands on your website, your messaging plays a critical role in building confidence. They want to quickly understand who you are, what you offer, and whether they can trust you.
Well-structured content and clear messaging help turn interest into action.
At Alipes, we help businesses adjust to the way people search today. Our AI services are built to support visibility as more customers turn to AI for answers, recommendations, and guidance.
If you want to learn how AI is affecting your visibility and what you can do about it, you can explore our AI services at alipes.com/ai.
More customers are starting their search with AI instead of Google. Learn what this shift means for your business and how to stay visible.
","featuredImage":"https://cdn.builder.io/api/v1/image/assets%2F0221da895e164e699d30aedc5a27a8f4%2F97c1e07538c847cda2663c7136628da7","imageAlt":"Illustration of an AI search interface with icons and a cursor, showing how people use AI to discover businesses.","optimization":{"description":"More customers are starting their search with AI instead of Google. Learn what this shift means for your business and how to stay visible.","keyword":"AI search visibility for businesses","shareImage":"https://cdn.builder.io/api/v1/image/assets%2F0221da895e164e699d30aedc5a27a8f4%2F97c1e07538c847cda2663c7136628da7","titleTag":"Why more customers are turning to AI instead of Google to find businesses"},"slug":"why-more-customers-are-turning-to-ai-instead-of-google-to-find-businesses","title":"Why more customers are turning to AI instead of Google to find businesses"},"folders":[],"id":"79921176cc0d4526b8063bbde8fbd431","lastUpdated":1768334733946,"lastUpdatedBy":"DVtg8ADVEhhzNrUslAaG4WHlEcw2","meta":{"hasAutosaves":false,"kind":"data","lastPreviewUrl":"https://main.d3njw7c4jbx3h3.amplifyapp.com/preview/blog?builder.space=0221da895e164e699d30aedc5a27a8f4&builder.user.permissions=read%2Ccreate%2Cpublish%2CeditCode%2CeditDesigns%2Cadmin%2CeditLayouts%2CeditLayers%2CeditContentPriority%2CeditFolders%2CeditProjects%2CmodifyMcpServers%2CmodifyWorkflowIntegrations%2CmodifyProjectSettings%2CconnectCodeRepository%2CcreateProjects%2CindexDesignSystems%2CsendPullRequests&builder.user.role.name=Admin&builder.user.role.id=admin&builder.cachebust=true&builder.preview=blog&builder.noCache=true&builder.allowTextEdit=true&__builder_editing__=true&builder.overrides.blog=79921176cc0d4526b8063bbde8fbd431&builder.overrides.79921176cc0d4526b8063bbde8fbd431=79921176cc0d4526b8063bbde8fbd431&builder.options.locale=Default"},"modelId":"ad31f0ecad9d4b10b8b6abde1db6f5d7","name":"Why more customers are turning to AI instead of Google to find businesses","published":"published","query":[],"testRatio":1,"variations":{},"firstPublished":1768334733923,"rev":"5bpuj8ahapn"},{"createdBy":"DVtg8ADVEhhzNrUslAaG4WHlEcw2","createdDate":1762454582579,"data":{"author":{"@type":"@builder.io/core:Reference","id":"0f17bd38b6744fd9a2e8bf3eae3cec9e","model":"staff"},"body":"Paid media should do more than generate quick clicks. Today, the brands that grow the fastest use advertising to support the full customer journey from awareness to repeat revenue. This approach turns first-time buyers into loyal customers and helps both B2B and B2C companies get more value from every ad dollar.
Lifetime value (LTV) looks beyond the first conversion and measures how much a customer is worth over time. Paid media plays a major role in influencing repeat purchase, renewal, and upsell opportunities. Adobe notes that paid media becomes more impactful when it is aligned with broader business goals such as retention and long-term revenue.
Shifting from short-term metrics, such as cost per acquisition, to value-based goals provides businesses with a clearer picture of what paid campaigns are truly delivering.
Customers rarely take a straight path from ad to purchase. They move between channels, content formats, and devices before making a decision. Cross-channel strategies help capture attention early and reinforce value throughout the journey.
A recent analysis found that companies using three or more marketing channels saw a 14.6 percent lift in sales compared to those relying on a single channel. This makes it increasingly important to measure how channels work together instead of focusing only on the last click. Teams are encouraged to monitor both customer acquisition cost and customer lifetime value to understand where their most valuable customers are coming from.
Here are simple ways to make paid media work harder over time:
• Retarget people after they buy to encourage a second purchase or renewal
• Bid more aggressively on audiences that show higher value signals
• Personalize ad creative and landing pages based on existing customer data
• Pair paid media with CRM and email nurturing for a more connected experience
• Track repeat behavior and upgrade activity, not only initial conversions
These steps help ensure that campaigns influence long-term revenue and not just one moment in the funnel.
Paid media can be more than a one-time acquisition engine. When you align your ads with customer value and support people throughout their decision-making process, you set your business up for stronger revenue and better customer relationships. Whether you sell to consumers or to other businesses, focusing on lifetime value creates more predictable and scalable growth.
Ready to strengthen your paid media and turn first-time buyers into loyal customers? Schedule a strategy call.
Learn how to use paid media to increase customer lifetime value, strengthen retention, and grow revenue beyond the first click.
","featuredImage":"https://cdn.builder.io/api/v1/image/assets%2F0221da895e164e699d30aedc5a27a8f4%2Fc9844c828ec145ef95bf5d95fd5c7780","imageAlt":"illustration of a digital analytics dashboard with charts, user profiles, and performance metrics, representing how paid media strategies use data insights to increase customer lifetime value","optimization":{"description":"Learn how to use paid media to increase customer lifetime value, strengthen retention, and grow revenue beyond the first click.","keyword":"lifetime value","shareImage":"https://cdn.builder.io/api/v1/image/assets%2F0221da895e164e699d30aedc5a27a8f4%2Fc9844c828ec145ef95bf5d95fd5c7780","titleTag":"How paid media helps brands increase lifetime value"},"slug":"how-paid-media-helps-brands-increase-lifetime-value","title":"How paid media helps brands increase lifetime value"},"folders":[],"id":"50c9f7d9e2074c3bae589cf008964d42","lastUpdated":1762454946727,"lastUpdatedBy":"DVtg8ADVEhhzNrUslAaG4WHlEcw2","meta":{"hasAutosaves":false,"hasLinks":false,"kind":"data","lastPreviewUrl":"https://main.d3njw7c4jbx3h3.amplifyapp.com/preview/blog?builder.space=0221da895e164e699d30aedc5a27a8f4&builder.user.permissions=read%2Ccreate%2Cpublish%2CeditCode%2CeditDesigns%2Cadmin%2CeditLayouts%2CeditLayers%2CeditContentPriority%2CeditFolders%2CeditProjects%2CmodifyMcpServers%2CmodifyWorkflowIntegrations%2CmodifyProjectSettings%2CconnectCodeRepository%2CcreateProjects%2CindexDesignSystems&builder.user.role.name=Admin&builder.user.role.id=admin&builder.cachebust=true&builder.preview=blog&builder.noCache=true&builder.allowTextEdit=true&__builder_editing__=true&builder.overrides.blog=50c9f7d9e2074c3bae589cf008964d42&builder.overrides.50c9f7d9e2074c3bae589cf008964d42=50c9f7d9e2074c3bae589cf008964d42&builder.options.locale=Default","symbolsUsed":{"63cfd7ec7b5043d4bec404e643ce3ce1":true}},"modelId":"ad31f0ecad9d4b10b8b6abde1db6f5d7","name":"How paid media helps brands increase lifetime value","published":"published","query":[],"testRatio":1,"variations":{},"firstPublished":1762454946692,"rev":"5bpuj8ahapn"},{"createdDate":1759942905656,"id":"8463d3a7e57841c880c7c0981f68fb0c","name":"How our team uses AI to work smarter","modelId":"ad31f0ecad9d4b10b8b6abde1db6f5d7","published":"published","meta":{"kind":"data","lastPreviewUrl":"https://main.d3njw7c4jbx3h3.amplifyapp.com/preview/blog?builder.space=0221da895e164e699d30aedc5a27a8f4&builder.user.permissions=read%2Ccreate%2Cpublish%2CeditCode%2CeditDesigns%2Cadmin%2CeditLayouts%2CeditLayers%2CeditContentPriority%2CeditFolders%2CeditProjects%2CmodifyMcpServers%2CmodifyProjectSettings%2CconnectCodeRepository%2CcreateProjects%2CindexDesignSystems&builder.user.role.name=Admin&builder.user.role.id=admin&builder.cachebust=true&builder.preview=blog&builder.noCache=true&builder.allowTextEdit=true&__builder_editing__=true&builder.overrides.blog=8463d3a7e57841c880c7c0981f68fb0c&builder.overrides.8463d3a7e57841c880c7c0981f68fb0c=8463d3a7e57841c880c7c0981f68fb0c&builder.options.locale=Default"},"query":[],"data":{"author":{"@type":"@builder.io/core:Reference","id":"ff992620691d4db9b3c595c28bb51082","model":"staff"},"body":"Does your organization embrace the use of AI tools to enhance its workflows and processes? If yes, is that attitude shared by all members of your team or just a select few? And finally, do you know that to be true … or is it just a hunch?
At Alipes, we take a forward-thinking approach to AI and, in order to make sure our team is aligned, we conducted an anonymous survey to get input from the team about the use of AI in a digital marketing setting. Let’s go through what that survey looked like and get a sense of what Alipians are thinking about AI.
What are you using? Which tool, which version, which model? With so many options and use cases for AI tools, it is necessary to get a feel for what your team is already trying out or using regularly. Some questions to ask here include:
The most popular type of AI used at Alipes is Large Language Models (LLMs), with ChatGPT and Gemini being the most mentioned. Tools in other areas such as image generation (Midjourney), copy editing (Grammarly), coding (Cursor), and search (Perplexity) were also mentioned.
As a project manager, my initial focus has been on using the built-in features in Google Workspace, including the notetaking and transcription capabilities of Gemini on Google Meet calls, and testing the ability to create project roadmaps by detailing the requirements, deadlines, budgets, and available resources in order to create a realistic plan.
It’s one thing to play with a new toy and then leave it aside when the novelty has worn off, but are you building a habit and sharpening your skills with continuous application? Using any tool regularly will enable you to find patterns, efficiencies, and what works and doesn’t for your particular needs. To see not only the breadth of your team’s usage, but also its depth, consider asking the following:
We found that 79% of Alipians are using AI tools on a weekly basis and 36% are using it daily. Of those using AI tools at least weekly, 45% find it very effective in improving productivity and an additional 45% find it somewhat effective. As with any adoption effort, getting consistent use throughout the team is important to developing a teamwide language and set of practices.
As with any new technology, there are both opportunities and concerns that need to be explored and addressed. While none should be ignored, communicating internally with your team about them and the steps being taken will provide clarity and confidence in the organization’s efforts. Straightforward questions to ask here are:
At Alipes, the top three concerns about AI usage are quality and accuracy of the output, data privacy and security, and ethical considerations including copyright and bias. We also see numerous opportunities to improve our services through improving speed and efficiency of delivery, automating repetitive tasks, generating ideas for inspiration, analyzing data
for better insights, personalizing client experiences, and allowing for more cross-team collaboration.
Knowing what your team members think and need to be successful will help with ensuring teamwide alignment on AI usage. Be direct and ask your team:
Alipians feel that the agency is handling AI integration somewhat well to very well (72%) with the remaining feeling neutral (27%). When it comes to training or resources, Alipians identified a variety of things including workshops and training sessions, access to online tutorials or documentation, internal guidelines and best practices, access to specific tools, and peer-to-peer learning/mentoring.
This knowledge gives us confidence that we are on the right path and that continued communication and additional resources will keep Alipes moving forward with improved effectiveness and solutions.
With the knowledge gained from surveying your team, the next step is to take action! One of our team members said “I would use it more if the AI tools were set up more specifically for my workload.” This aligns with the team’s identified need for internal guidelines and best practices and gives us a clear directive to provide structure and recommendations to the team for the Alipes way of using AI.
Want to learn more about our experience and how we can help your organization adopt AI for improved results? Reach out!
How does a digital agency really use AI day to day? Our team shares honest insights on adoption, habits, and what’s next for Alipes.
","featuredImage":"https://cdn.builder.io/api/v1/image/assets%2F0221da895e164e699d30aedc5a27a8f4%2Fbc75b3551a9a4e24a40e6f443f8906f3","imageAlt":"AI technology circuit board graphic with Alipes logo representing artificial intelligence tools and automation","legacyAuthor":"","optimization":{"description":"How does a digital agency really use AI day to day? Our team shares honest insights on adoption, habits, and what’s next for Alipes.","shareImage":"https://cdn.builder.io/api/v1/image/assets%2F0221da895e164e699d30aedc5a27a8f4%2Fbc75b3551a9a4e24a40e6f443f8906f3","titleTag":"How our team uses AI to work smarter"},"slug":"how-our-team-uses-AI-to-work-smarter","title":"How our team uses AI to work smarter"},"variations":{},"lastUpdated":1760463056266,"testRatio":1,"createdBy":"DVtg8ADVEhhzNrUslAaG4WHlEcw2","lastUpdatedBy":"DVtg8ADVEhhzNrUslAaG4WHlEcw2","folders":[],"firstPublished":1760463056235,"rev":"5bpuj8ahapn"},{"createdDate":1759499769090,"id":"40df1793f7cd4f70bb2e03b5397f4a6f","name":"“AI will rot your brain”: why we always blame the new thing","modelId":"ad31f0ecad9d4b10b8b6abde1db6f5d7","published":"published","meta":{"lastPreviewUrl":"https://main.d3njw7c4jbx3h3.amplifyapp.com/preview/blog?builder.space=0221da895e164e699d30aedc5a27a8f4&builder.user.permissions=read%2Ccreate%2Cpublish%2CeditCode%2CeditDesigns%2Cadmin%2CeditLayouts%2CeditLayers%2CeditContentPriority%2CeditFolders%2CeditProjects%2CmodifyMcpServers%2CmodifyProjectSettings%2CconnectCodeRepository%2CcreateProjects%2CindexDesignSystems&builder.user.role.name=Admin&builder.user.role.id=admin&builder.cachebust=true&builder.preview=blog&builder.noCache=true&builder.allowTextEdit=true&__builder_editing__=true&builder.overrides.blog=40df1793f7cd4f70bb2e03b5397f4a6f&builder.overrides.40df1793f7cd4f70bb2e03b5397f4a6f=40df1793f7cd4f70bb2e03b5397f4a6f&builder.options.locale=Default","kind":"data"},"query":[],"data":{"excerpt":"AI won’t rot our brains any more than books or calculators did. The real challenge is guiding how we adapt and what skills we value.
From Plato’s fear of writing to today’s AI debates, every new tool is accused of corrupting us. The truth is more interesting.
","optimization":{"keyword":"AI","description":"AI won’t rot our brains any more than books or calculators did. The real challenge is guiding how we adapt and what skills we value.","shareImage":"https://cdn.builder.io/api/v1/image/assets%2F0221da895e164e699d30aedc5a27a8f4%2F320c687e63f1425f84cf680615f9cf98","titleTag":"“AI will rot your brain”: why we always blame the new thing"},"title":"“AI will rot your brain”: why we always blame the new thing","author":{"@type":"@builder.io/core:Reference","id":"11616566fd334ed080f80c8feee740e8","model":"staff"},"body":"Every generation thinks the new thing will ruin us. Plato thought writing would make us forgetful. Parents thought calculators would end math. Politicians blamed comic books for corrupting kids.
Now it is AI’s turn, accused of “rotting our brains” before we have even figured out what it is good for.
We have been here before.
The pattern is clear. New tools arrive, they get demonized, and eventually they settle in as part of the way we think and create.
These worries are not plucked from thin air. Every new tool shifts how we use our minds. Writing outsourced memory. Calculators outsourced arithmetic. Social media does compete with deep focus, and research suggests that heavy use of short-form video is linked with shorter attention spans.
But here is the key: that is not “brain rot.” It is adaptation. Our brains respond to the environment we put them in. Skills change, redistribute, and evolve.
AI feels different because it touches language and reasoning, the things we have long thought of as uniquely human. That makes the fear sharper. If machines write, summarize, and even “think,” what is left for us?
The answer is plenty. The arrival of a tool does not erase human capacity. It redefines which skills matter most. With AI, that means less time on rote production and more emphasis on judgment, creativity, and ethics.
It is also a chance to rethink how we teach and learn. For centuries, education has leaned heavily on memorization. In a world where recall is cheap and instant, the greater value lies in teaching critical thinking, verification, and problem framing. That is the kind of shift that could make us sharper as a society.
The real danger is not that we lose the ability to think. It is that we settle for shallow uses of a powerful tool. If we let AI do the drafting but do not teach people to check, verify, and refine, we will get more noise and less signal.
But history is on our side. Once we get past the panic, we usually learn how to make the new tool serve us, not the other way around.
AI will not rot our brains any more than books, novels, or calculators did. Like every technology, it will change us. The challenge is not to stop the change. It is to make sure we channel it toward better thinking, not just faster shortcuts.
At Alipes, we have seen enough of these cycles to know that technologies are always bastardized at first. That is the messy middle. What matters is how we adapt on the other side.
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","optimization":{"keyword":"Context Window","description":"Learn how context windows affect AI memory, why models can forget or misinterpret info, and when restarting chats improves accuracy.","shareImage":"https://cdn.builder.io/api/v1/image/assets%2F0221da895e164e699d30aedc5a27a8f4%2F9ab0de355c0a433e906e24013b7e6567","titleTag":"Understanding Context Windows and Why Restarting Chats Matters in Your Workflow"},"author":{"id":"a79362b37a0644b99e317ee3d17c41d2","@type":"@builder.io/core:Reference","model":"staff"},"title":"Understanding Context Windows and Why Restarting Chats Matters in Your Workflow","slug":"understanding-context-windows-why-restarting-chats-matters","date":1758812400000,"body":"A context window is the amount of text a language model can look at and use when generating new responses, including the text it creates. It is different from the data the model was trained on and acts like the model’s working memory. A larger context window helps the model handle longer prompts and maintain coherence in extended conversations, while a smaller window can limit its understanding and responses.
When the context window approaches its limit, older messages may be summarized to make room for new input. This ensures the model retains essential context without losing the continuity of the conversation. The problem with the summarizing approach is that context is inevitably lost. As previous messages are condensed, subtle details, nuances, and important qualifiers may disappear. Over time, this can reduce the model’s response accuracy, lead to minor misunderstandings, or even cause it to make incorrect assumptions based on incomplete information.
Bigger context windows allow you to feed the model more information at once, but they do not eliminate other risks:
Even with a one million or two million token limit, models may still drop or truncate older conversation bits when the limit is reached. Other issues, like sycophancy and hallucinations, mean we still need to be careful with how we use AI models in our workflows.
Large language models, shaped by their training, often lean toward agreeing with user prompts, even subtly inaccurate ones. This tendency is known as sycophancy and can introduce risk. The AI may confirm mistaken facts or assumptions, leading to confident but incorrect outputs in campaign briefs or strategy documents. Over time, especially in long single-session chats, mistakes may compound without being noticed.
Even with large context windows, AI models are not perfect memory tools. They can summarize, forget, or misinterpret information, and they are prone to sycophancy and hallucinations. For this reason, it is important to approach AI outputs with care. Always double-check facts, review recommendations critically, and consider restarting chats when needed to keep interactions clear and manageable.
References:
Long context (Google).
Context windows (Anthropic).
YouTube offers our clients the benefit of scale, versatility, and conversion power in an otherwise noisy digital world. At Alipes, we see YouTube not only as a video-sharing platform, but as a powerful tool that can elevate your brand's presence, engage audiences across the funnel, and deliver measurable ROI.
YouTube is among the most visited websites globally, with over 2.7 billion monthly active users, reaching roughly one third of all internet users worldwide.1 But from a marketing standpoint, what sets YouTube apart isn’t solely its reach, but the fact that users are actively watching, listening to, and searching for content. YouTube ad campaigns routinely outperform traditional digital ads in both awareness and conversion, with studies finding that ads on YouTube deliver significantly higher recall, with average conversion rate across campaigns of 14.6% 2
YouTube is deeply embedded into daily routines for over 122 million users, who collectively watch more than 1 billion hours of video content per day.3 Additionally, approximately 63% of all users’ viewing time occurs on mobile devices, allowing YouTube in particular to deliver both reach and performance.4
YouTube’s targeting capabilities, which are powered by its parent company Google, allow for hyper-specific audience segmentation based on intent, behavior, and demographics. Brands leveraging YouTube targeting aren’t only getting views — they are getting views from the right people, at the right time, with messaging tailored to wherever they are in the customer journey.
YouTube allows brands to tell their stories, from short-form snippets that drive awareness building, to longer-form educational or testimonial content that build credibility. Combined with GA targeting, YouTube offers our clients the opportunity to reach audiences on a global scale, driving deeper engagement, and promising higher conversion potential, which is of course, what it’s all about.
Sources:
YouTube offers unmatched reach, engagement, and ROI, making it a must-have channel in any results-driven marketing strategy.
","date":1757347200000},"variations":{},"lastUpdated":1757349325187,"firstPublished":1756827402065,"testRatio":1,"createdBy":"DVtg8ADVEhhzNrUslAaG4WHlEcw2","lastUpdatedBy":"Dkge1swV4SYjoFzemjJZob8P5K72","folders":[],"rev":"5bpuj8ahapn"},{"createdDate":1755095759704,"id":"3909315b2b184fc29bc942bace62fbd5","name":"Five Summer Favorites That Spark Creativity and Happiness in August","modelId":"ad31f0ecad9d4b10b8b6abde1db6f5d7","published":"published","meta":{"lastPreviewUrl":"https://main.d3njw7c4jbx3h3.amplifyapp.com/preview/blog?builder.space=0221da895e164e699d30aedc5a27a8f4&builder.user.permissions=read%2Ccreate%2Cpublish%2CeditCode%2CeditDesigns%2Cadmin%2CeditLayouts%2CeditLayers%2CeditContentPriority%2CeditFolders%2CeditProjects%2CmodifyMcpServers%2CmodifyProjectSettings%2CconnectCodeRepository%2CcreateProjects%2CindexDesignSystems&builder.user.role.name=Admin&builder.user.role.id=admin&builder.cachebust=true&builder.preview=blog&builder.noCache=true&builder.allowTextEdit=true&__builder_editing__=true&builder.overrides.blog=3909315b2b184fc29bc942bace62fbd5&builder.overrides.3909315b2b184fc29bc942bace62fbd5=3909315b2b184fc29bc942bace62fbd5&builder.options.locale=Default","kind":"data"},"query":[],"data":{"imageAlt":"\"Illustration of a summer sunrise with clouds and circuit board design, symbolizing creativity, technology, and happiness","author":{"@type":"@builder.io/core:Reference","id":"b4adf4370b8342938b4dea31d9a2b04a","model":"staff"},"body":"There are just a few times each year when life slows down enough to really take a breath—and for me, that moment is August.
Maybe it's the longer daylight hours, the lingering energy of vacation (whether you're heading out or just returning), or the simple fact that school is out and family time is easier to come by. Whatever the reason, August always feels like the perfect time for creativity, connection, and a bit of summer exploration.
Here are a few of my current summer favorites—things I’ve been loving lately that keep me inspired, grounded, and a little more joyful this season:
Getting Lost in a Great Book. There’s something magical about reading outside on a summer evening. I recently finished Broken Country by Clare Leslie Hall, and I truly couldn’t put it down. The story was compelling, and those extra daylight hours gave me the perfect excuse to stay out on the patio a little longer.
Exploring Creative AI Prompts. One of my favorite ways to stay curious is experimenting with AI prompts. I could easily spend hours (and do) diving into new topics—my only challenge is picking which one to start with! At Alipes, we share our favorite prompts with each other, learning everything from how to write stronger creative briefs to enhancing professional headshots. It's fun and a great way to uncover unexpected insights.
Car Dancing with the Windows Down. It’s not summer without that one song you can’t stop blasting. You know the one: windows down, volume up, singing like no one’s watching. There’s a kind of freedom in it that just doesn’t hit the same once the cold New England air returns. (Still worth it, though.)
Meeting New People and Expanding My Network. August always feels like the right time to branch out. Whether it’s attending an event, discovering a new podcast, or reaching out to someone new on LinkedIn, I try to stay open to new conversations. Maybe it’s the lighter schedule, or maybe I’m just in a friendlier mood, but I am always on the lookout to learn or talk about what we are up to at Alipes.
Prioritizing Time with Loved Ones. Let’s face it: September gets hectic. Between annual planning, back-to-school campaigns, and Q4 prep, our calendars fill up fast. That’s why I treat August as a moment to pause and reconnect—with friends, with family, and even with myself. It’s a reminder that I adore the people in my life!
So here’s to making the most of the rest of summer. Say yes to something new, explore just for the fun of it, and let August inspire you. And if you’ve discovered any life-changing AI prompts or favorite reads lately, send them our way!
","date":1755604800000,"optimization":{"titleTag":"Five Summer Favorites That Spark Creativity and Happiness in August","description":"Discover my favorite August rituals—from summer reads to AI prompts and car dancing—that help spark creativity, connection, and balance."},"excerpt":"Discover my favorite August rituals—from summer reads to AI prompts and car dancing—that help spark creativity, connection, and balance.
","slug":"five-summer-favorites-spark-creativity-happiness-august","title":"Five Summer Favorites That Spark Creativity and Happiness in August","featuredImage":"https://cdn.builder.io/api/v1/image/assets%2F0221da895e164e699d30aedc5a27a8f4%2F10ef3c7ea5c745259ed8413307d22e36"},"variations":{},"lastUpdated":1755614362807,"firstPublished":1755611348451,"testRatio":1,"createdBy":"DVtg8ADVEhhzNrUslAaG4WHlEcw2","lastUpdatedBy":"DVtg8ADVEhhzNrUslAaG4WHlEcw2","folders":[],"rev":"5bpuj8ahapn"},{"createdDate":1754588638339,"id":"7c9c940a4f834368a5598bbb1464ddb1","name":"Drag-and-drop in the Age of Prompts","modelId":"ad31f0ecad9d4b10b8b6abde1db6f5d7","published":"published","meta":{"kind":"data","lastPreviewUrl":"https://main.d3njw7c4jbx3h3.amplifyapp.com/preview/blog?builder.space=0221da895e164e699d30aedc5a27a8f4&builder.user.permissions=read%2Ccreate%2Cpublish%2CeditCode%2CeditDesigns%2Cadmin%2CeditLayouts%2CeditLayers%2CeditContentPriority%2CeditFolders%2CeditProjects%2CmodifyMcpServers%2CmodifyProjectSettings%2CconnectCodeRepository%2CcreateProjects%2CindexDesignSystems&builder.user.role.name=Admin&builder.user.role.id=admin&builder.cachebust=true&builder.preview=blog&builder.noCache=true&builder.allowTextEdit=true&__builder_editing__=true&builder.overrides.blog=7c9c940a4f834368a5598bbb1464ddb1&builder.overrides.7c9c940a4f834368a5598bbb1464ddb1=7c9c940a4f834368a5598bbb1464ddb1&builder.options.locale=Default"},"query":[],"data":{"optimization":{"keyword":"","titleTag":"Drag-and-drop in the Age of Prompts","shareImage":"https://cdn.builder.io/api/v1/image/assets%2F0221da895e164e699d30aedc5a27a8f4%2Fc26f9feeacbd4d47998a993726b8165a","description":"From drag‑and‑drop to text prompts, AI is redefining design—empowering creators to turn ideas into polished apps and code in seconds."},"title":"Drag-and-drop in the Age of Prompts","excerpt":"From drag‑and‑drop to text prompts, AI is redefining design—empowering creators to turn ideas into polished apps and code in seconds.
","author":{"@type":"@builder.io/core:Reference","id":"2b57408247064ae6ac63bfd49422dc08","model":"staff"},"slug":"drag-and-drop-in-the-age-of-prompts","featuredImage":"https://cdn.builder.io/api/v1/image/assets%2F0221da895e164e699d30aedc5a27a8f4%2Fc26f9feeacbd4d47998a993726b8165a","body":"For years, the leading computing paradigm was simple: What You See Is What You Get. We all learned the language of drag-and-drop, of clicking and nudging pixels into place. It was a revolution, but it brought with it bloated auto-generated code, rigid templates, the feeling of being creatively boxed in.
Now, something old is new again. The text prompt (once the domain of coders and Hollywood hackers) is back with a vengeance and powered by AI. This isn't a step backward, it's the start of a new dialogue with our tools, one based on a different premise: What You Mean Is What You Get.
The biggest draw of AI is that it can solve the \"blank page problem.\" Instead of building from scratch, the creative process now starts with a simple conversation. AI tools are now generating polished app screens from a few lines of text.
But let's be honest: a chatbot is a terrible design tool. The initial high of generating something from nothing quickly gives way to the frustration of refinement and polish. It's the lack of immediacy. It’s the hour spent wrestling with a Midjourney prompt to get the lighting just right. It’s that feeling of \"spooky action at a distance\" when you type \"move the button to the left\" into a void, when all you want to do is move it yourself. It's powerful, but it's not fluid.
The future isn't a choice between visual and text. It's the seamless blend of both on an interactive, conversational canvas. This is where the conversation gets interesting, and ongoing innovation is most exciting.
This new workflow moves beyond a simple prompt-and-response. While tools like Bolt and Lovable generate interactive React components from a text description, Model Context Protocol (MCP) tools enable agentic workflows to iterate and improve the output. The output isn't a flat piece of copy; it's live, functional code that a developer can iterate on and refine.
So, where does this leave the creative professional? It puts them in the conductor's seat.
The invention of the synthesizer gave musicians an orchestra at their fingertips. AI is that new orchestra. It can play the notes—generating a thousand options, assembling a draft—but it can't write the symphony. It has no taste, no vision, no understanding of the why behind the work.
We as creative professionals continue to provide that. The critical judgment, the strategic direction, the brand stewardship—these are the skills that turn a raw AI output into something resonant. This new AI workflow makes expertise more critical than ever, freeing professionals to focus on the higher-level, more ambitious work.
As someone who admittedly does not use my personal LinkedIn to its full potential (ok, at all), I do open the app and scroll daily to see the latest conversations about project management, digital marketing, and business trends in general. Interestingly enough, there was a post I saw from someone who is not a direct connection, though it was commented on by a direct connection. Best of all, it was speaking directly to me!
The aforementioned post, by a person named John, called me out in the first sentence: “LinkedIn is trying to tell us all something, and it's bad news if you're a lurker.” Yes, that’s me. He goes on to explain that he just started getting notifications about how many impressions his comments were getting — not just original posts. While creating content and posting is still good, John tells me that “is sadly not enough anymore. You have to engage!” Ok, I can do that!
In fact, I recalled that only last week I commented on a post from a popular LinkedIn creator. Nothing groundbreaking, just a brief comment with my experience on the topic. I didn’t look for or get notified about the number of impressions my comment received. However, I did get notifications about profile views. They were existing connections, and I can only assume that they clicked on my profile because it appeared due to that comment, not from an intentional search to find me.
Fast forward to this week and the post from John. He wraps it up by saying “'I’m making a concerted effort to show up and comment on post from my network, as well as 2nd and 3rd degree connections if something catches my eye, and the results already showing themselves. [sic]” Following his advice to engage, I reply, noting my observation in the uptick in profile views after commenting on a post last week.
And of course, that isn’t where this ends. Shortly after commenting, my comment got a response from an old colleague from my film days. He asks how I’ve been, I say “been too long,” etc. The original poster, John, replies to us, “hold on can you guys catch me up here?! Did you guys just reconnect in the comments section of a random guy's (me) post?!” Yes, that’s exactly what happened! We haven’t seen each other in about ten years, and I noted that this is “ironically also supporting the idea of the original post!”
Creating your own content and being a thought leader is valuable work in its own right. However, to get the most out of the platform, engage with others! You never know where it could lead.
P.S. My initial comment on John’s post has received 759 impressions in the last 22 hours.
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