{"id":23402276,"date":"2026-07-08T08:50:45","date_gmt":"2026-07-08T08:50:45","guid":{"rendered":"https:\/\/www.vendasta.com\/blog\/?p=23402276"},"modified":"2026-07-15T17:53:48","modified_gmt":"2026-07-15T17:53:48","slug":"ai-search-optimization-strategies-for-marketing-agencies","status":"publish","type":"post","link":"https:\/\/www.vendasta.com\/blog\/ai-search-optimization-strategies-for-marketing-agencies\/","title":{"rendered":"AI Search Optimization Strategies for Marketing Agencies: Eli Schwartz on What&#8217;s Actually Killing Your Retainers"},"content":{"rendered":"<p>Your top client just googled their own business and landed in position one. They got almost no traffic. If that sentence makes your stomach drop, you&#8217;re not alone, and you&#8217;re not wrong to be worried. Agencies that built their entire retainer model on rankings and blog volume are now staring down a metric that no longer pays the bills.<\/p>\n<p>While you keep delivering the same eight blog posts a month, AI Overviews and chatbots are quietly answering your clients&#8217; customers before they ever click a link. Every month you wait to change the offer, you&#8217;re handing competitors who&#8217;ve already rebuilt their service stack an easier path to the renewal conversation, and a harder one for your own <a href=\"\/blog\/marketing-agency-profit-margins\">marketing agency profit margins<\/a>.<\/p>\n<p>The good news: this isn&#8217;t actually a traffic problem. It&#8217;s a product and packaging problem, and it&#8217;s fixable. This guide lays out practical <strong>AI search optimization strategies for marketing agencies<\/strong>, pulling from industry data, expert commentary from product-led SEO consultant Eli Schwarz, and real packaging models you can put in front of clients this quarter.<\/p>\n<p><span style=\"font-weight: 400;\">[et_pb_section global_module=\"113175 \"][\/et_pb_section]<\/span><\/p>\n<div>\n<h2>TL;DR<\/h2>\n<ul>\n<li><strong>Traffic is down, but revenue doesn&#8217;t have to follow:<\/strong> AI Overviews have cut organic click-through rates by 58-61% on informational queries, but agencies that shift clients toward product-led, bottom-of-funnel work are protecting (and growing) revenue.<\/li>\n<li><strong>The $5,000 blog retainer is dying because the margin disappeared:<\/strong> AI content tools collapsed the cost of production, which means &#8220;content for content&#8217;s sake&#8221; no longer justifies the price tag agencies used to charge.<\/li>\n<li><strong>Indispensability beats visibility:<\/strong> The agencies that win in 2026 sell AI-powered acquisition and engagement systems, like Vendasta&#8217;s AI Workforce, not deliverables clients can recreate with a ChatGPT subscription.<\/li>\n<\/ul>\n<\/div>\n<h2>What Is AI Search Optimization, and Why Does It Matter for Agencies Right Now?<\/h2>\n<p>AI search optimization is the practice of structuring content and digital presence so AI-powered search tools, like Google AI Overviews, ChatGPT, Perplexity, and Gemini, can find, understand, and cite a business accurately. Unlike traditional SEO, which optimizes for ranking position and clicks, <a href=\"\/blog\/ai-search-optimization-for-local-businesses\/\">AI search optimization<\/a> (sometimes called AEO, or answer engine optimization) optimizes for inclusion in a generated answer.<\/p>\n<p>This matters for agencies because the buying behavior underneath your retainers has changed. Search engine consultant <a href=\"https:\/\/www.elischwartz.co\/\" target=\"_blank\" rel=\"noopener\">Eli Schwarz<\/a>, who has advised companies including Tinder, WordPress, SurveyMonkey, and Mixpanel, put it bluntly on a recent podcast: agencies built an entire business model on winning the first click for informational queries, but LLMs and AI Overviews now answer the how-tos and what-ifs before anyone gets to a click.<\/p>\n<p>For marketing agencies, semantic variants of this shift show up constantly in client conversations: the future of SEO agencies, AI Overviews impact on agency revenue, and the now-common question of whether top-of-funnel content is dead. The honest answer to that last one, according to Schwarz, is yes, and it has been for a while: &#8220;That&#8217;s popped already. That&#8217;s totally gone.&#8221;<\/p>\n<h2>How Much Has AI Overviews Actually Hurt Agency Traffic and Revenue?<\/h2>\n<p>The data backs up what agencies are seeing in client dashboards. According to <a href=\"https:\/\/www.searchenginejournal.com\/impact-of-ai-overviews-how-publishers-need-to-adapt\/556843\/\" target=\"_blank\" rel=\"noopener\">research compiled by Search Engine Journal<\/a>, independent studies throughout 2024 and 2025 show click-through rate reductions ranging from 34% to as high as 89% when AI summaries appear on a results page.<\/p>\n<p>Ahrefs ran one of the more rigorous studies on this, and the trend is not slowing down.<\/p>\n<table border=\"1\" cellspacing=\"0\" cellpadding=\"8\">\n<thead>\n<tr>\n<th>Metric<\/th>\n<th>December 2023 (Pre-AI Overviews)<\/th>\n<th>December 2025<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Top-position CTR, informational keywords<\/td>\n<td>7.6%<\/td>\n<td>3.9%<\/td>\n<\/tr>\n<tr>\n<td>Top-position CTR, keywords with AI Overviews<\/td>\n<td>7.3%<\/td>\n<td>1.6%<\/td>\n<\/tr>\n<tr>\n<td>Reduction in CTR for AI Overview queries<\/td>\n<td>\u2014<\/td>\n<td><strong>58% lower<\/strong><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>Seer Interactive&#8217;s analysis of <a href=\"https:\/\/searchengineland.com\/google-ai-overviews-drive-drop-organic-paid-ctr-464212\" target=\"_blank\" rel=\"noopener\">42 organizations and 25 million impressions<\/a> found organic CTR on informational queries fell 61% since mid-2024, with paid CTR down 68% on the same queries. Pew Research, tracking actual browsing behavior of 900 U.S. adults, found users clicked a traditional result only 8% of the time when an AI summary appeared, compared to 15% without one, and 26% of those searches ended the session entirely with no click at all.<\/p>\n<p>So traffic is genuinely collapsing for a huge share of informational content. But here&#8217;s the part agencies miss: traffic decline and revenue decline are not the same problem. Schwarz has seen this directly with clients in the medical and pharmaceutical space: &#8220;I&#8217;ve seen this with many businesses where their traffic is down 40 to 60%. But their organic revenue isn&#8217;t. And that&#8217;s because they&#8217;re still serving the customer, just at a different place in the journey.&#8221;<\/p>\n<p>That distinction is the entire foundation of any modern AI search optimization strategy. If you want the full context behind these numbers, watch the full podcast episode with Eli Schwarz, where he unpacks exactly why traffic and revenue have decoupled for so many of his clients:<\/p>\n<p><iframe loading=\"lazy\" title=\"His Advice Could Help Agencies Survive AI Search\" width=\"1080\" height=\"608\" src=\"https:\/\/www.youtube.com\/embed\/8JdXW-qTzQg?feature=oembed\"  allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe><\/p>\n<h2>Is Top-of-Funnel Content Officially Dead?<\/h2>\n<p>Yes, for most agencies, generic top-of-funnel informational content has already lost its value, and the change happened more than a year ago, not last quarter. AI systems now answer basic definitional and how-to queries directly inside the search results, which means the traffic that content used to capture rarely reaches the client&#8217;s website at all.<\/p>\n<p>Schwarz illustrates this with a dental client example: a local dentist publishing generic articles on &#8220;what is flossing&#8221; or &#8220;what does a cavity mean&#8221; was never going to win that traffic against Google&#8217;s own understanding of the topic, AI Overviews now included. The content was never targeted enough to convert, and AI search optimization has only made that gap more obvious.<\/p>\n<p>This doesn&#8217;t mean all content is worthless. It means the funnel stage has moved. As Schwarz explains using a mental health client example: someone Googling &#8220;anxiety&#8221; is in the absolute top of the funnel, and an AI Overview will define anxiety for them instantly. The opportunity for the business isn&#8217;t at that query. It&#8217;s one step later, when the person has self-identified and is comparing solutions like therapy versus medication versus meditation. That&#8217;s the interception point agencies need to be building content and product for.<\/p>\n<h2>5 AI Search Optimization Strategies for Marketing Agencies to Implement Now<\/h2>\n<p>Generic SEO advice tells you to add schema markup and write FAQ sections. That&#8217;s necessary but no longer sufficient. The agencies winning client retention in 2026 are restructuring the entire service model around these five strategies.<\/p>\n<h3>1. Shift from Top-of-Funnel Awareness to Middle- and Bottom-of-Funnel Interception<\/h3>\n<p>Stop competing for queries AI Overviews already own. Instead, map out exactly where in the customer journey a real human still needs to make a decision a machine can&#8217;t make for them. Schwarz&#8217;s framing is useful here: ask whether a user would actually choose to search for your client&#8217;s specific solution, or whether they&#8217;d just ask ChatGPT and get a satisfying generic answer.<\/p>\n<p>If the answer doesn&#8217;t require your client&#8217;s specific product, pricing, location, or inventory, that&#8217;s a sign the content opportunity has moved further down the funnel.<\/p>\n<h3>2. Build Product-Led SEO Assets, Not Just Articles<\/h3>\n<p>This is the core idea behind <strong>product-led SEO agencies<\/strong>, a model Schwarz has championed for over four years. Instead of writing a blog post about car insurance, build a tool that compares quotes. Instead of writing about pharmacy prices, build a page with live, localized pricing data, the way GoodRx did. Schwarz calls this the difference between &#8220;a piece of content&#8221; and &#8220;a product.&#8221;<\/p>\n<p>TripAdvisor is the textbook case: rather than writing travel blog posts about hotels, they built a structured review platform with a page for every property, large and small. Competitors copied the SEO tactics. None of them replicated the underlying product structure, and TripAdvisor still dominates hotel-review search globally.<\/p>\n<p>For agencies, this means the service shifts from &#8220;content production&#8221; to &#8220;building a defensible asset,&#8221; whether that&#8217;s a calculator, a localized directory, a review engine, or a dynamic pricing tool.<\/p>\n<h3>3. Treat AEO as a Brand and PR Function, Not a Citation-Chasing Game<\/h3>\n<p>Many agencies are trying to replicate old SEO tactics inside AEO, chasing as many AI citations as possible the way they once chased rankings. Schwarz argues this is the wrong instinct: &#8220;We used to focus on ranking number one. Now will focus on multip having as many citations as possible because that will be as meaningless as ranking number one.&#8221;<\/p>\n<p>The right version of an <strong>AEO strategy for agencies<\/strong> connects brand visibility work, PR, consistent business listings, reviews, and authoritative mentions, so that when an AI system reasons about who&#8217;s trustworthy in a category, your client&#8217;s brand actually shows up consistently across the web, including through <a href=\"\/blog\/ai-reputation-management\">AI-driven reputation management<\/a> that keeps reviews and listings aligned everywhere. This is less &#8220;optimize this page&#8221; and more &#8220;make sure every signal about this business agrees with every other signal.&#8221;<\/p>\n<h3>4. Win the Branded and Local Long Tail Before Chasing Volume Keywords<\/h3>\n<p>Some of the highest-leverage SEO work isn&#8217;t glamorous. Schwarz&#8217;s WordPress engagement found major wins simply by filling content gaps around branded long-tail terms, like &#8220;WordPress plus plugins,&#8221; that the company had never bothered to target. For local agency clients, this translates directly: search volume on a city or service-specific long-tail term will always beat chasing an unwinnable national keyword.<\/p>\n<p>An automotive shop will never outrank a car insurance giant for &#8220;car insurance.&#8221; But it absolutely can and should own &#8220;check engine light cost [city name],&#8221; the exact query a real, paying customer types when they&#8217;re minutes from booking.<\/p>\n<h3>5. Replace the Content Factory with an Always-On Acquisition and Engagement System<\/h3>\n<p>This is where the retainer conversation has to change entirely. Schwarz&#8217;s advice to a hypothetical 10-person agency serving an automotive shop owner is the clearest articulation of the shift: stop writing about oil changes and start watching, listening, and building systems around what customers are actually asking when they call or walk in.<\/p>\n<p>That&#8217;s not a deliverable an agency hands off once a month. It&#8217;s an ongoing, automated, AI-powered system that captures leads, answers questions instantly, and nurtures customers across their full lifecycle, the kind of <a href=\"\/blog\/agency-automation\">agency automation<\/a> that lets a small team support hundreds of local clients without adding headcount.<\/p>\n<h2>What Should Agencies Sell Instead of Blog Posts?<\/h2>\n<p>This is the question every agency owner is quietly asking, and it&#8217;s exactly what Schwarz was asked directly: if you&#8217;ve been selling $5,000-a-month blog packages, what replaces that revenue with real value attached to it?<\/p>\n<p>His answer cuts right to the economics: &#8220;The $5,000 a month [content] blog post five years ago made sense because the margin on that $5,000 was maybe $1,000&#8230; Today the margin could be, you know, $4,900&#8221; because agencies are quietly swapping a paid writer for a ChatGPT subscription and a cheap editor. The deliverable looks the same on the invoice. The value behind it has collapsed.<\/p>\n<p>So <strong>what to sell instead of blog posts<\/strong> comes down to a short list of higher-value, harder-to-replicate service categories:<\/p>\n<ul>\n<li><strong>AI-powered customer acquisition systems<\/strong> that capture and convert leads around the clock, not just content that might eventually generate a lead weeks or months later.<\/li>\n<li><strong>AI receptionists and chat agents<\/strong>, like an <a href=\"\/blog\/ai-receptionist-for-small-business\">AI receptionist for small business<\/a> clients, that answer the phone, qualify leads, and book appointments in real time, replacing missed calls with closed jobs.<\/li>\n<li><strong>Reputation management infrastructure<\/strong> that actively requests, monitors, and <a href=\"\/blog\/improve-google-reviews\">improves Google reviews<\/a>, since AI search and AI Overviews increasingly weight review signals heavily in local recommendations.<\/li>\n<li><strong>Product pages and dynamic tools<\/strong> built around the client&#8217;s actual data (pricing, inventory, service areas) rather than generic informational articles.<\/li>\n<li><strong>A connected CRM and inbox<\/strong> that gives the client visibility into every lead and conversation, proving the agency&#8217;s value in pipeline terms rather than vanity traffic charts.<\/li>\n<\/ul>\n<p>This is precisely the gap Vendasta&#8217;s AI Workforce was built to fill, giving agencies a faster path to <a href=\"\/blog\/lead-generation-for-marketing-agencies\">lead generation for marketing agencies<\/a> without the overhead of a custom build.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-23402278 size-full\" src=\"https:\/\/www.vendasta.com\/blog\/wp-content\/uploads\/sites\/6\/2026\/06\/ai-lead-generation-vendasta.webp\" alt=\"Seven-step framework for implementing AI lead generation, from assessing strategy to testing and optimizing.\" width=\"1200\" height=\"1329\" srcset=\"https:\/\/www.vendasta.com\/blog\/wp-content\/uploads\/sites\/6\/2026\/06\/ai-lead-generation-vendasta.webp 1200w, https:\/\/www.vendasta.com\/blog\/wp-content\/uploads\/sites\/6\/2026\/06\/ai-lead-generation-vendasta-980x1085.webp 980w, https:\/\/www.vendasta.com\/blog\/wp-content\/uploads\/sites\/6\/2026\/06\/ai-lead-generation-vendasta-480x532.webp 480w\" sizes=\"(min-width: 0px) and (max-width: 480px) 480px, (min-width: 481px) and (max-width: 980px) 980px, (min-width: 981px) 1200px, 100vw\" \/><\/p>\n<p>Rather than asking agencies to staff up a development team to build a custom GoodRx-style tool for every client, Vendasta&#8217;s AI Workforce gives agencies a ready-to-deploy AI Receptionist, AI Reputation Specialist, and AI Sales Assistant that they can resell across hundreds of SMB clients at once, all centrally managed, all branded under the agency&#8217;s own name.<\/p>\n<p>It&#8217;s the product-led shift Schwarz describes, packaged so a 20-person agency doesn&#8217;t need a 200-person engineering team to deliver it.<\/p>\n<h2>What Should a 2026 Agency Retainer Actually Look Like?<\/h2>\n<p>The agencies still selling &#8220;10 posts a month&#8221; packages are, in Schwarz&#8217;s words, selling something that &#8220;cannot survive&#8221; because it can be fully replicated by typing a prompt into Claude. A defensible <strong>agency retainer strategy for 2026<\/strong> needs to pass one simple test, and it&#8217;s the same test that underlies any real <a href=\"\/blog\/recurring-revenue-for-agencies\">recurring revenue strategy for agencies<\/a>: could a client replace this deliverable with an AI subscription and a Fiverr editor? If yes, it&#8217;s not a retainer anymore. It&#8217;s a feature.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-23402279 size-full\" src=\"https:\/\/www.vendasta.com\/blog\/wp-content\/uploads\/sites\/6\/2026\/06\/how-vendasta-ai-powers-recurring-revenue-for-agencies-recurring-revenue-for-agencies-vendasta-2.webp\" alt=\"Six-stage cycle showing how Vendasta's AI Workforce builds recurring revenue and margin growth for agencies.\" width=\"1200\" height=\"1500\" srcset=\"https:\/\/www.vendasta.com\/blog\/wp-content\/uploads\/sites\/6\/2026\/06\/how-vendasta-ai-powers-recurring-revenue-for-agencies-recurring-revenue-for-agencies-vendasta-2.webp 1200w, https:\/\/www.vendasta.com\/blog\/wp-content\/uploads\/sites\/6\/2026\/06\/how-vendasta-ai-powers-recurring-revenue-for-agencies-recurring-revenue-for-agencies-vendasta-2-980x1225.webp 980w, https:\/\/www.vendasta.com\/blog\/wp-content\/uploads\/sites\/6\/2026\/06\/how-vendasta-ai-powers-recurring-revenue-for-agencies-recurring-revenue-for-agencies-vendasta-2-480x600.webp 480w\" sizes=\"(min-width: 0px) and (max-width: 480px) 480px, (min-width: 481px) and (max-width: 980px) 980px, (min-width: 981px) 1200px, 100vw\" \/><\/p>\n<p>Here&#8217;s how that retainer should be restructured, using the automotive shop example Schwarz walks through:<\/p>\n<table border=\"1\" cellspacing=\"0\" cellpadding=\"8\">\n<thead>\n<tr>\n<th>Old Retainer Model (2020-Era)<\/th>\n<th>2026 Retainer Model<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>8-10 generic blog posts per month<\/td>\n<td>Live customer-journey research: most common questions, complaints, and price objections, turned into targeted, intent-matched content and tools<\/td>\n<\/tr>\n<tr>\n<td>Monthly traffic and ranking report<\/td>\n<td>Lead capture, conversion, and revenue dashboard tied to CRM data<\/td>\n<\/tr>\n<tr>\n<td>One-off SEO audit<\/td>\n<td>Ongoing AI visibility and reputation monitoring across Google, AI Overviews, and review platforms<\/td>\n<\/tr>\n<tr>\n<td>Static website content updates<\/td>\n<td>An always-on AI Receptionist and chat agent capturing leads 24\/7, even after hours<\/td>\n<\/tr>\n<tr>\n<td>Manual follow-up reminders to the client<\/td>\n<td>Automated SMS\/email follow-up and appointment scheduling that runs without staff intervention<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>This kind of retainer earns its renewal every month because it&#8217;s tied to something the client can see and feel: more booked appointments, faster response times, and a calendar that stays full. Vendasta&#8217;s platform is built specifically to let agencies deliver this stack, AI Receptionist, Reputation AI, CRM AI, and the rest, without needing to build any of it from scratch or hire new fulfillment staff for every new client win.<\/p>\n<h2>How Should Agencies Approach AEO Differently Than Traditional SEO?<\/h2>\n<p>The biggest mistake agencies are making right now, according to Schwarz, is trying to import old SEO instincts wholesale into AEO. Chasing the maximum number of AI citations the way agencies once chased rank position is, in his words, going to become &#8220;as meaningless as ranking number one&#8221; once everyone is doing it.<\/p>\n<p>Instead, the right question to ask for any client is: at what exact point in this customer&#8217;s journey does a human still need to choose, and is the client positioned to be chosen at that moment? Schwarz&#8217;s mattress-versus-microphone comparison makes this concrete. A $1,000 mattress purchase involves heavy research and a late-funnel interception point, where the buyer already knows the brand and model. A $50 podcast microphone has a much shorter, more transactional journey, where the interception point might be nothing more than appearing as the recommended product in an AI-generated buying guide.<\/p>\n<p>Every client&#8217;s AEO strategy needs to be built around their specific buying journey, not a one-size-fits-all citation-chasing checklist.<\/p>\n<h2>Foundational AI Search Optimization Tactics Agencies Still Need to Get Right<\/h2>\n<p>Strategy shifts matter most, but the technical and structural fundamentals haven&#8217;t disappeared, they&#8217;ve just become table stakes rather than differentiators. Per <a href=\"https:\/\/about.ads.microsoft.com\/en\/blog\/post\/october-2025\/optimizing-your-content-for-inclusion-in-ai-search-answers\" target=\"_blank\" rel=\"noopener\">Microsoft Advertising&#8217;s guidance<\/a> on AI search inclusion, content needs to be broken into clean, modular, &#8220;parseable&#8221; pieces that AI systems can extract and recombine into answers. That means:<\/p>\n<ul>\n<li><strong>Clear, descriptive H1s and headings<\/strong> that match user intent and search phrasing exactly.<\/li>\n<li><strong>Direct Q&amp;A formatting<\/strong> with concise answers AI systems can lift verbatim.<\/li>\n<li><strong>Tables and bulleted comparisons<\/strong> instead of long paragraphs that blur multiple ideas together.<\/li>\n<li><strong>Schema markup<\/strong> (FAQPage, Organization, Article, HowTo) so AI systems don&#8217;t have to infer what a page represents.<\/li>\n<li><strong>No critical information buried in PDFs, images, or hidden tabs<\/strong>, since many AI crawlers can&#8217;t reliably parse that content.<\/li>\n<\/ul>\n<p>These are necessary hygiene factors. But as the data above shows, hygiene alone won&#8217;t save a retainer built on traffic that&#8217;s structurally disappearing. The strategy layer, what to build, what to sell, and where to intercept the customer, is what actually protects revenue.<\/p>\n<h2>Conclusion<\/h2>\n<p>The agencies that survive this shift won&#8217;t be the ones that mourn the old traffic model the longest. They&#8217;ll be the ones that accept, the way Schwarz does, that &#8220;everything has changed,&#8221; and move fastest to rebuild their offer around revenue rather than rankings.<\/p>\n<p>That means treating SEO and AEO as product and brand questions, not content production lines, intercepting customers at the moment they&#8217;re actually ready to choose, and packaging services clients can&#8217;t simply replicate with a ChatGPT subscription.<\/p>\n<p>The technical fundamentals of AI search optimization, schema, structure, clarity, still matter, but they&#8217;re the floor, not the differentiator. The real opportunity sits in building durable, AI-powered acquisition and engagement systems that keep working for clients around the clock, long after the last blog post would have stopped converting.<\/p>\n<p>Agencies that make that shift now, with the right platform behind them, won&#8217;t just survive the AI Overviews era. They&#8217;ll use it to win the retainer conversations their competitors are still losing.<\/p>\n<p>Vendasta gives agencies the infrastructure to make that shift without rebuilding their tech stack from scratch. Instead of pitching another round of content, agencies can offer SMB clients an AI Workforce that handles acquisition, engagement, and retention automatically, all centrally deployable across an entire client base, all sold under the agency&#8217;s own brand.<\/p>\n<p><a href=\"http:\/\/request-demo\/\">Book a demo with Vendasta today!<\/a><\/p>\n<h2>AI Search Optimization Strategies for Marketing Agencies FAQs<\/h2>\n<h3>1. What are the best AI search optimization strategies for marketing agencies in 2026?<\/h3>\n<p>The most effective strategies shift focus from top-of-funnel rankings to middle- and bottom-funnel interception, product-led assets instead of generic articles, and brand consistency across the web for AEO. Agencies should also resell AI-powered tools, like Vendasta&#8217;s AI Workforce, that automate lead capture and engagement for clients directly.<\/p>\n<h3>2. How has AI Overviews impact on agency revenue actually played out?<\/h3>\n<p>Studies show organic click-through rates have fallen 58-61% on queries triggering AI Overviews. However, revenue impact varies widely: businesses serving customers further down the funnel, where AI can&#8217;t fully resolve the need, often see stable or growing revenue despite falling traffic.<\/p>\n<h3>3. Is top of funnel content dead for agency clients?<\/h3>\n<p>Generic, definitional top-of-funnel content has largely lost its value, since AI Overviews and chatbots answer those queries directly. Content still works when it targets the specific moment a customer needs to choose between solutions, which usually sits in the middle or bottom of the funnel.<\/p>\n<h3>4. What does product-led SEO mean for agencies?<\/h3>\n<p>Product-led SEO means building tools, calculators, dynamic pricing pages, or structured directories instead of relying solely on written content. These assets create a defensible advantage AI systems and competitors can&#8217;t easily replicate, the same way TripAdvisor&#8217;s review structure outlasted competing travel blogs.<\/p>\n<h3>5. What should agencies sell instead of blog posts?<\/h3>\n<p>Agencies should shift toward AI-powered acquisition and engagement systems: AI receptionists, automated reputation management, CRM-driven follow-up, and product-led content tools. Platforms like Vendasta package these capabilities so agencies can resell them across their entire client base without hiring additional fulfillment staff.<\/p>\n<h3>6. How should agencies build an AEO strategy for clients?<\/h3>\n<p>An effective AEO strategy for agencies treats AI visibility as a brand and PR function, ensuring consistent business information, reviews, and mentions across the web, rather than chasing as many AI citations as possible. Success comes from being chosen at the right moment in the customer journey, not from maximizing mentions.<\/p>\n<h3>7. What does a 2026 agency retainer strategy look like?<\/h3>\n<p>A modern agency retainer strategy ties pricing to measurable outcomes like booked appointments, leads captured, and reviews generated, rather than blog volume or ranking reports. Vendasta enables this model by giving agencies an always-on AI Workforce that clients can see working in real time through a connected CRM and dashboard.<\/p>\n<h3>8. Are agencies still relevant if AI can write content and answer customer questions directly?<\/h3>\n<p>Yes, but the value shifts from production to strategy and infrastructure. Agencies that make themselves indispensable, by understanding a client&#8217;s customer journey and deploying systems like AI receptionists and reputation management, will outlast agencies still selling commoditized content.<\/p>\n<h3>9. How does Vendasta help agencies adapt to AI search optimization changes?<\/h3>\n<p>Vendasta gives agencies a centrally deployable AI Workforce, including an AI Receptionist, AI Reputation Specialist, and AI Sales Assistant, that automates customer acquisition and engagement for SMB clients. This lets agencies grow recurring revenue without adding headcount, even as traditional content retainers lose value.<\/p>\n<h3>10. What is the future of SEO agencies in an AI-driven search landscape?<\/h3>\n<p>The future of SEO agencies depends on moving from selling visibility to selling outcomes: leads, bookings, reviews, and retained customers. Agencies that combine AEO fundamentals with AI-powered acquisition platforms, like Vendasta, are positioned to grow even as traditional organic traffic continues to decline.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Your top client just googled their own business and landed in position one. They got almost no traffic. If that sentence makes your stomach drop, you&#8217;re not alone, and you&#8217;re not wrong to be worried. 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