{"id":235,"date":"2026-08-23T05:03:06","date_gmt":"2026-08-23T05:03:06","guid":{"rendered":"https:\/\/www.akarnik.com\/blog\/how-agencies-offer-geo-services"},"modified":"2026-08-23T05:03:06","modified_gmt":"2026-08-23T05:03:06","slug":"how-agencies-offer-geo-services","status":"publish","type":"post","link":"https:\/\/www.akarnik.com\/blog\/how-agencies-offer-geo-services","title":{"rendered":"How to Package and Sell GEO Services as an Agency"},"content":{"rendered":"<p><em>Written by: Arjun Karnik, Growth Marketing Specialist<\/em><\/p>\n<h2 id=\"key-takeaways\">Key Takeaways<\/h2>\n<ul>\n<li>AI Overviews and chatbots are reducing traditional clicks while still consuming content, which creates a revenue gap agencies can close with GEO retainers.<\/li>\n<li>71% of B2B buyers now use AI chatbots for research, so AI visibility has become a board-level question clients already raise in conversations.<\/li>\n<li>GEO focuses on increasing citation share inside machine-generated answers rather than chasing rank position on a search results page.<\/li>\n<li>The five-step packaging framework of audit, technical fixes, fan-out mapping, machine-cadence publishing, and citation reporting turns GEO into a predictable $3k\u2013$10k retainer add-on.<\/li>\n<li>Arjun Karnik\u2019s test-lab methodology and AI Growth Agent system show how to package these GEO principles into agency retainers\u2014<a href=\"https:\/\/www.akarnik.com\/demo\" target=\"_blank\"><strong>see the framework in action<\/strong><\/a>.<\/li>\n<\/ul>\n<h2>Why Agencies Are Fielding AI Visibility Questions Now<\/h2>\n<p>Buyer behavior has already shifted toward AI assistants, and clients feel that shift in their pipeline. G2 surveyed 1,076 B2B software buyers across North America, EMEA, and APAC in March 2026 and found that 71% use AI chatbots for software research, 69% switched to a different vendor than planned based on what an assistant told them, and 33% bought from a vendor they had never previously heard of. <a href=\"https:\/\/openai.com\/index\/chatgpt\/\" target=\"_blank\" rel=\"noindex nofollow\">OpenAI reported 900 million weekly active ChatGPT users in February 2026<\/a>. At Google I\/O in May 2026, Sundar Pichai put AI Overviews at over 2.5 billion monthly active users. Your clients&#8217; buyers already rely on these systems, so the client question \u201cwhy don\u2019t we show up in ChatGPT?\u201d will keep coming, and \u201cwe\u2019re working on it\u201d will not defend a retainer.<\/p>\n<h2>What GEO Services Cover for Clients<\/h2>\n<p>Generative engine optimization (GEO) structures, publishes, and refreshes content so that AI systems such as ChatGPT, Google AI Overviews, Perplexity, and Gemini retrieve, cite, and recommend a brand inside generated answers. GEO replaces rank position with citation share as the primary visibility metric.<\/p>\n<p><a href=\"https:\/\/progress.com\/blogs\/seo-and-geo-guide\" target=\"_blank\" rel=\"noindex nofollow\">The term was formalized in a November 2023 research paper by researchers from Princeton, Georgia Tech, the Allen Institute for AI, and IIT Delhi, which demonstrated that targeted optimization techniques can increase visibility in generative responses by up to 40%<\/a>. <a href=\"https:\/\/www.geosoftwarerankings.com\/blog\/ai-citation-behavior-index-chatgpt-perplexity-gemini-google\/\" target=\"_blank\" rel=\"noindex nofollow\">LLMs cite varying numbers of domains per response on average (Gemini ~3\u20134, ChatGPT ~5\u201315, Perplexity ~10\u201322), compared to Google AI features averaging roughly 9\u201313 citations<\/a>, so competition for citation slots is far more concentrated than for organic rankings. A brand is either in the answer or absent from it. There is no second page.<\/p>\n<h2>5-Step Framework to Package GEO as a Service<\/h2>\n<p>This five-step sequence turns GEO from a loose idea into a repeatable path from first conversation to signed retainer add-on.<\/p>\n<ol>\n<li><strong>Run an AI Visibility Audit as the foot-in-the-door offer.<\/strong> Baseline the client\u2019s current citation share across ChatGPT, Google AI Overviews, Perplexity, and Gemini. Deliver a gap report that shows where competitors appear instead. Price this as a standalone engagement at $1,500\u2013$4,000.<\/li>\n<li><strong>Fix technical plumbing before any content work begins.<\/strong> Unblock AI crawlers in robots.txt, implement schema markup across core pages, and create an llms.txt file. Nothing downstream works if the retrieval layer cannot read the site.<\/li>\n<li><strong>Map the fan-out question space.<\/strong> A single buyer prompt triggers dozens of hidden retrieval queries underneath. Extract those queries directly from ChatGPT instead of inferring them from keyword tools. Use this map as the content production queue.<\/li>\n<li><strong>Publish and refresh at machine cadence.<\/strong> Structure every page with query language in the URL, title, and H1. Add schema to every eligible page. Run a freshness loop so pages do not decay in place. In Arjun\u2019s own tests on his site, pages dropped 78% to 99% in two months without updates.<\/li>\n<li><strong>Report on citations, not rankings.<\/strong> Track mention share and citation share across all four surfaces monthly. Add AI referrer traffic from chatgpt.com and equivalents as a separate channel in analytics. Replace the rank report with a share-of-answer report.<\/li>\n<\/ol>\n<h2>How to Run an AI Visibility Audit as the Foot-in-the-Door Offer<\/h2>\n<p>The AI Visibility Audit gives clients a clear view of what AI assistants currently say about them and which competitors receive the citations. It functions as the lowest-friction entry point into a GEO engagement and sets up the retainer conversation with data instead of opinion.<\/p>\n<p>The audit workflow covers four steps that build on each other. First, select 20\u201350 priority prompts drawn from real buyer questions, using sales call transcripts, support tickets, and People Also Ask panels as sources because they reflect actual buyer language. These prompts become the testing queries for the second step, where you run them across ChatGPT, Google AI Overviews, Perplexity, and Gemini while logging citation presence, mention share, competitor appearances, and sentiment. The citation data reveals visibility gaps, and some of those gaps stem from technical barriers rather than content quality, which leads to the third step that audits technical accessibility by checking robots.txt for blocked AI crawlers, validating schema implementation, and confirming pages are machine-parseable. With both citation performance and technical health mapped, the fourth step synthesizes findings into a gap report with a ranked action list that prioritizes fixes by impact.<\/p>\n<p>Deliverables include a citation map, a share-of-voice baseline versus named competitors, a technical plumbing checklist, and 5\u201310 prioritized recommendations. One-time GEO audits can convert clients to retainers. Price the audit at $1,500\u2013$4,000 depending on the number of platforms, keyword volume, and competitor set. The audit stands on its own and creates the data that justifies the retainer conversation.<\/p>\n<h2>Technical Requirements for GEO Services<\/h2>\n<p>Technical plumbing comes first because every content investment depends on AI systems being able to access and parse the site. Once the audit reveals citation gaps, the next step is ensuring AI systems can actually reach and understand your client\u2019s content.<\/p>\n<p>The core checklist covers five areas that work together to make content machine-readable and citation-ready.<\/p>\n<ol>\n<li><strong>AI crawler access.<\/strong> <a href=\"https:\/\/thehoth.com\/blog\/generative-engine-optimization\" target=\"_blank\" rel=\"noindex nofollow\">Check robots.txt to confirm GPTBot, ClaudeBot, and PerplexityBot are not blocked<\/a>. Blocked crawlers are the most common silent failure in GEO engagements and prevent any downstream gains.<\/li>\n<li><strong>Schema markup.<\/strong> <a href=\"https:\/\/conbersa.ai\/learn\/structured-data-for-generative-engines\" target=\"_blank\" rel=\"noindex nofollow\">Implement JSON-LD format exclusively, placed in a script tag inside the page head. Every blog post and article should include Article schema with headline, description, datePublished, dateModified, and author properties<\/a>. Add FAQPage schema to pages that cover five or more sub-questions, and add HowTo schema to process-oriented content so AI systems can extract steps cleanly.<\/li>\n<li><strong>llms.txt file.<\/strong> <a href=\"https:\/\/thehoth.com\/blog\/generative-engine-optimization\" target=\"_blank\" rel=\"noindex nofollow\">Create an llms.txt file, an emerging standard that acts like robots.txt for AI crawlers, to help AI models understand site structure and key content<\/a>. This file guides crawlers toward the pages that matter most.<\/li>\n<li><strong>Answer-first page architecture.<\/strong> Use question-based H2s, short paragraphs, direct opening answers in the first 100\u2013200 words, and self-contained sections that can stand alone as citation-ready units. This structure makes it easy for AI systems to lift clean, context-rich snippets.<\/li>\n<li><strong>Entity consistency.<\/strong> Maintain consistent brand information, including name, description, and sameAs links to verified social profiles, across the web so AI models can cross-validate brand identity and authority claims.<\/li>\n<\/ol>\n<p><a href=\"https:\/\/aigrowthagent.co\/articles\/ai-search-visibility-strategy\/\" target=\"_blank\">80% of LLM citations do not rank in Google\u2019s top 100 for the original query<\/a>, so technical GEO work and traditional SEO work address different visibility problems. Both matter, and neither replaces the other.<\/p>\n<h2>How Much Does GEO Cost? Three Service Tiers That Fit Inside Existing Retainers<\/h2>\n<p>Three GEO tiers cover the full range of $3k\u2013$10k retainer clients and align scope to outcomes instead of hours. Each tier is scoped by deliverable, which protects agency margins and keeps client invoices predictable.<\/p>\n<p><strong>Tier 1 \u2014 GEO Foundations ($1,500\u2013$3,000\/month add-on).<\/strong> This tier establishes basic visibility and reporting. It covers an AI visibility audit across 2\u20133 platforms, basic entity cleanup, schema markup for core pages, monthly share-of-voice reporting, and up to 2 answer-optimized content pieces per month. The structure supports healthy gross margins and fits clients on $3,000\u2013$5,000 SEO retainers who need a clear answer to the \u201cwhy aren\u2019t we in ChatGPT\u201d question.<\/p>\n<p><strong>Tier 2 \u2014 GEO Growth ($3,000\u2013$7,000\/month add-on).<\/strong> This tier focuses on expansion and competitive defense. It adds full multi-platform tracking across 5 or more engines, monthly fan-out query mapping, 4\u20136 answer-optimized content pieces per month, citation monitoring with sentiment tracking, and quarterly competitive analysis. It fits clients on $5,000\u2013$8,000 SEO retainers who are actively losing pipeline to AI-visible competitors and need measurable share-of-answer gains.<\/p>\n<p><strong>Tier 3 \u2014 Full GEO Strategy ($7,000\u2013$10,000+\/month add-on).<\/strong> This tier turns GEO into an ongoing growth channel. It adds proactive content creation at machine cadence, entity authority building across third-party platforms, freshness loops with impression-decay tripwires, and a full share-of-answer reporting dashboard. It fits clients on $8,000\u2013$10,000+ SEO retainers where AI visibility is a board-level revenue question. <a href=\"https:\/\/aigrowthagent.co\/articles\/best-perplexity-ai-seo-tools\" target=\"_blank\">A competitive share of citation for B2B brands sits between 5% and 15% aggregate across major AI engines, with 20% or above signaling category leadership<\/a>, and this tier is built to reach that threshold.<\/p>\n<h2>How to Price GEO Services for Retainers<\/h2>\n<p>The hybrid add-on model gives agencies already running SEO retainers a simple way to introduce GEO. <a href=\"https:\/\/demandlocal.com\/blog\/how-to-price-geo-services\" target=\"_blank\" rel=\"noindex nofollow\">Apply a 20\u201330% uplift to the existing SEO retainer, turning a $5,000\/month SEO client into a $6,000\u2013$6,500\/month SEO+GEO engagement without requiring a separate contract<\/a>. The upsell sequence runs in four steps.<\/p>\n<ol>\n<li><strong>Pull the Search Console scissors.<\/strong> Show the client their impressions-up, clicks-down chart. This data already sits in their account and reframes the conversation without a hard pitch.<\/li>\n<li><strong>Run the AI Visibility Audit.<\/strong> Deliver the gap report and show where competitors appear in ChatGPT answers for their category queries. The audit becomes the business case.<\/li>\n<li><strong>Present the three tiers.<\/strong> Anchor on Tier 2 and let the client self-select based on urgency and budget. Tier 1 sets the floor and Tier 3 sets the ceiling.<\/li>\n<li><strong>Lock in a 90-day pilot.<\/strong> <a href=\"https:\/\/demandlocal.com\/blog\/ways-to-bundle-geo-existing-agency\" target=\"_blank\" rel=\"noindex nofollow\">A 90-day pilot framework with Month 1 foundation work, Month 2 systematic execution, and Month 3 performance reporting<\/a> gives clients a defined window and gives the agency time to show citation movement before renewal conversations begin.<\/li>\n<\/ol>\n<p>The pitch script for the upsell conversation stays direct: \u201cYour content is being read by AI systems and used to construct answers. Those answers are not sending traffic back to you. We can fix the structure, fix the freshness, and start tracking where you appear in those answers. Here is what that looks like at three price points.\u201d<\/p>\n<p><a href=\"https:\/\/www.akarnik.com\/demo\" target=\"_blank\"><strong>See the audit-to-retainer conversion sequence<\/strong><\/a> that Arjun uses with his own methodology and AI Growth Agent.<\/p>\n<h2>Measuring GEO Success with Citations<\/h2>\n<p>Citation share replaces rank position as the headline metric for GEO, and a four-layer reporting stack keeps results tied to revenue. The layers cover citation and mention visibility, traffic quality, conversion influence, and freshness health.<\/p>\n<p><strong>Citation and mention visibility.<\/strong> Track mention share, which is the percentage of tracked prompts where the brand appears, and citation share, which is the percentage where a domain page is linked as a source, separately across ChatGPT, Google AI Overviews, Perplexity, and Gemini. Given the concentrated citation competition described earlier, tracking both mentions and citations reveals whether visibility problems stem from discoverability, where the brand is not retrieved, or authority, where it is retrieved but not cited as a source. Run a fixed panel of 20\u201350 buyer prompts monthly. <a href=\"https:\/\/aigrowthagent.co\/articles\/ai-search-visibility-strategy\/\" target=\"_blank\">AI Growth Agent clients average more than 12,000 additional AI citations and mentions and a 20% or greater lift in impressions across the first twelve weeks<\/a>.<\/p>\n<p><strong>Fan-out citation tests.<\/strong> In Arjun\u2019s own test on his site, pages rewritten to match fan-out queries extracted directly from ChatGPT earned citations while control pages did not. <a href=\"https:\/\/aigrowthagent.co\/articles\/best-automated-keyword-research-tool\/\" target=\"_blank\">GEO monitors that track only a capped set of prompts leave most of a brand\u2019s market conversation invisible<\/a>. The fan-out map turns the prompt panel into a comprehensive view of the category instead of an anecdotal sample.<\/p>\n<p><strong>Freshness loops and decay data.<\/strong> The decay pattern documented earlier, where pages can lose up to 99% of citation performance within two months, makes freshness monitoring essential rather than optional. Seer Interactive analyzed 47,097 AI citations across 7,683 pages in ChatGPT, Gemini, and Perplexity and found that 75% of cited pages had been updated within the last year, with consistently cited pages averaging under six months since their last update. Impression-decay tripwires in AI Growth Agent auto-queue updates when performance drops, running 5 to 8 autonomous actions per day via AI Growth Agent, including new articles and refreshes, so the library does not decay in place.<\/p>\n<p><strong>Traffic and conversion influence.<\/strong> Segment AI referrer traffic from chatgpt.com and equivalents as a distinct channel in GA4. <a href=\"https:\/\/megaoneai.com\/blog\/ai-search-traffic-5x-conversion\/\" target=\"_blank\" rel=\"noindex nofollow\">AI search visitors convert at rates between roughly 1.5x and 5x higher than traditional organic search visitors, per multiple 2025\u20132026 studies<\/a>. Track branded search volume trends and direct traffic lift as secondary indicators, because a meaningful share of AI-driven demand arrives as direct or branded search rather than as a traceable referral. Whatever you measure is a floor, not a ceiling.<\/p>\n<p>The honest caveat for client reporting is that buyers frequently copy an AI answer and type a brand name directly into a browser. That journey shows up as direct traffic and never gets attributed to the citation that caused it. The measured number understates real impact, so frame it that way in every report.<\/p>\n<h2>Frequently Asked Questions<\/h2>\n<h3>What is the difference between GEO and SEO, and do clients need both?<\/h3>\n<p>SEO focuses on rankings on a human-readable list of results, while GEO focuses on citations inside a machine-generated answer. The retrieval mechanics differ, because SEO earns authority through backlinks and domain authority, and GEO earns authority through topical coverage and content freshness. A single buyer prompt in an AI system triggers dozens of hidden fan-out queries underneath, and the answer is assembled from what comes back across those queries, not from a ranked list. Clients need both, since structured content, clean architecture, and schema support both SEO and GEO. The target metric changes, because SEO reports on rankings and clicks, and GEO reports on citation share and share of voice. Agencies that drop SEO in favor of GEO lose the foundation, while agencies that add GEO to SEO capture both the click and the citation.<\/p>\n<h3>How long does it take to see results from GEO services?<\/h3>\n<p>Technical plumbing fixes such as unblocking AI crawlers, adding schema, and creating an llms.txt file take effect within days of implementation. Citation movement typically appears within 30 to 90 days, tied to LLM retrieval refresh cycles. On Arjun\u2019s own site, new articles reached thousands of monthly Google impressions within weeks of publication, and the GEO subfolder went from zero to the only source of new impressions on the entire domain in 60 days. Compounding effects, where topical authority accumulates and citation share grows across head terms, usually begin after month three. The 90-day pilot framework aligns client expectations to this timeline, with Month 1 covering foundation work, Month 2 covering systematic execution, and Month 3 delivering the first performance report with trend data.<\/p>\n<h3>How do agencies measure GEO success when AI traffic does not always show up in analytics?<\/h3>\n<p>The four-layer measurement approach described earlier addresses the attribution gap directly. Citation tracking captures what AI systems surface, referrer traffic captures what converts, and branded search lift captures the zero-click path where buyers read an AI answer then navigate directly to the brand. The honest framing for clients is that every measured number is a floor, because unlabeled copy-and-paste behavior means real impact exceeds what analytics captures.<\/p>\n<h3>What objections do clients raise about GEO pricing, and how should agencies respond?<\/h3>\n<p>The three most common objections are \u201cit\u2019s too early,\u201d \u201cI can\u2019t measure it,\u201d and \u201cisn\u2019t this just SEO with a new name?\u201d For the timing objection, AI answers gain incumbency, and once a model has a settled answer for a category, that answer tends to remain stable. Early citations become tomorrow\u2019s record, and the cost of entry rises as settled answers harden, so waiting a year means paying to catch up rather than paying to lead. For the measurement objection, citation share, mention share, AI referrer traffic, and branded search lift are all trackable today with a fixed prompt panel and a GA4 segment, and while the measurement is less precise than rank tracking, it reflects the channel buyers actually use. For the \u201cjust SEO\u201d objection, the target changed, because SEO optimizes against the query the buyer typed, and GEO optimizes against dozens of fan-out queries the buyer never sees, so the work overlaps while the retrieval mechanics, authority model, and success metric differ.<\/p>\n<h3>How should agencies handle the freshness requirement without overwhelming their production capacity?<\/h3>\n<p>Freshness is the hardest GEO requirement to sustain at human content agency rates, particularly given the rapid decay documented in Arjun\u2019s tests, where pages lost between 78% and 99% of citation performance within two months of going stale. A human content team that produces 7 to 10 articles per month with no refresh loop cannot maintain the cadence the channel rewards. The solution is impression-decay tripwires wired to Search Console signals that auto-queue updates when performance drops, running via AI Growth Agent at 5 to 8 autonomous actions per day, including new articles and refreshes, on autopilot. This setup removes the freshness burden from human production capacity and turns it into a passive system. Agencies reselling this capability price the automation into Tier 2 and Tier 3 retainers, where the margin justifies the tooling cost. The economics compare roughly $5,000 per month for a content engine running at machine cadence against roughly $10,000 per month for 7 to 10 human-written articles with no refresh loop, where the second number buys better prose and the first buys the volume, structure, and freshness the channel rewards.<\/p>\n<h2>Conclusion<\/h2>\n<p>The framework described above, from audit through technical fixes to citation reporting, creates a repeatable path from prospect conversation to signed retainer, with three service tiers that fit inside existing $3k\u2013$10k engagements as a 20\u201330% uplift. The upsell sequence starts with the Search Console scissors chart the client already owns and ends with a 90-day pilot commitment that gives enough time to show movement.<\/p>\n<p>Arjun Karnik runs a public test lab for GEO under his own name, documenting what gets a business cited in AI answers and publishing the receipts, including the misses. The AI Growth Agent system runs 5 to 8 autonomous actions per day on his own site, and the results are verifiable when you ask an AI assistant about these topics and see who gets cited. Agencies can evaluate, adopt, and resell that same methodology and system inside their own retainers.<\/p>\n<p><a href=\"https:\/\/www.akarnik.com\/demo\" target=\"_blank\"><strong>Request a walkthrough<\/strong><\/a> of the citation-focused test-lab methodology and AI Growth Agent system to see exactly how it packages into the retainer tiers described above.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Learn how to package, price, and sell GEO services to clients. Arjun Karnik&#8217;s 5-step framework helps agencies add AI visibility to retainers fast.<\/p>\n","protected":false},"author":118,"featured_media":234,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"footnotes":""},"categories":[1],"tags":[],"class_list":["post-235","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-uncategorized"],"_links":{"self":[{"href":"https:\/\/www.akarnik.com\/blog\/wp-json\/wp\/v2\/posts\/235","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.akarnik.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.akarnik.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"replies":[{"embeddable":true,"href":"https:\/\/www.akarnik.com\/blog\/wp-json\/wp\/v2\/comments?post=235"}],"version-history":[{"count":0,"href":"https:\/\/www.akarnik.com\/blog\/wp-json\/wp\/v2\/posts\/235\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.akarnik.com\/blog\/wp-json\/wp\/v2\/media\/234"}],"wp:attachment":[{"href":"https:\/\/www.akarnik.com\/blog\/wp-json\/wp\/v2\/media?parent=235"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.akarnik.com\/blog\/wp-json\/wp\/v2\/categories?post=235"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.akarnik.com\/blog\/wp-json\/wp\/v2\/tags?post=235"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}