--- title: "AI Search Optimization Guide 2027: How SEO, AEO and GEO Work Together" date: 2026-10-01T16:45:52Z modified: 2026-10-01T21:29:25Z permalink: "https://spotlightonstartups.com/ai-search-optimization-guide-2027-how-seo-aeo-and-geo-work-together/" type: post status: publish excerpt: "" wpid: 8578 categories: - Expert Insights - Featured tags: - Expert Insights - Featured - AEO - AI Citations - AI Search Visibility - Answer Engine Optimization - earned media - Generative Engine Optimization - GEO - I search optimization - SEO featured_image: "https://spotlightonstartups.com/wp-content/uploads/2026/10/AI-Search-Optimization-2027-scaled.jpg" featured_image_alt: AI Search Optimization 2027 author: Gregg Kell timestamp: 2026-10-01T21:29:25Z --- By **[Gregg Kell](https://www.linkedin.com/in/greggkell/)**, Founder and Editor, **[Spotlight on Startups](https://spotlightonstartups.com/wp-content/uploads/wp-mfa-exports/page/home.md)** AI search optimization is the practice of making a brand discoverable (SEO), answerable (AEO), and citable (GEO) across Google, ChatGPT, Perplexity, Claude, and other answer engines. This AI Search Optimization Guide 2027 from **[Spotlight on Startups, the Answer Engine Optimization Earned Media Platform](https://spotlightonstartups.com/wp-content/uploads/wp-mfa-exports/page/home.md)**, explains how the three disciplines work together. G2’s March 2026 survey of 1,076 B2B software buyers found that 51% now start research with an AI chatbot more often than with Google. [g2](https://company.g2.com/news/g2-research-the-answer-economy) Remove one layer and a brand becomes harder to discover, understand, or cite. SEO gets you discovered. AEO helps you become the answer. GEO helps you earn citations. This guide covers what each layer does, what Google itself says about AI search, how to measure results, and why third-party earned media is the strongest lever in the GEO layer. Every statistic names its source, and the sources block at the end lists retrieval dates. This post reflects market conditions as of October 2026. ### How to Win AI Search Optimization in 2027? The Guide & SEO, AEO and GEO Formula AI search optimization combines three capabilities. Each one does a different job. - **SEO (Search Engine Optimization)** makes content discoverable, crawlable, and relevant. - **AEO (Answer Engine Optimization)** structures content so it becomes the answer. - **GEO (Generative Engine Optimization)** earns visibility inside generative AI answers. Think of them as a pipeline. SEO fills the top by getting pages found. AEO shapes what is found so a machine can use it. GEO builds the reputation that makes an engine choose one brand over another. Measurement closes the loop by showing which questions a brand wins and which it never appears in. #### The Formula in One Table | Layer | Core question | Primary goal | What success looks like | | --- | --- | --- | --- | | SEO | Can people and crawlers find this page? | Discoverability | Pages indexed, ranking, and earning clicks | | AEO | Can a machine extract the answer? | Answerability | Content quoted as the direct response | | GEO | Will AI engines mention and cite this brand? | Citation and trust | Brand named and cited in generated answers | #### Why the Three Layers Work as One System AI search optimization works as a system because each layer feeds the next. A page that no crawler can reach cannot be extracted as an answer. A page that ranks but buries its answer may never be quoted. A well-structured page from a brand with no outside validation may lose to a source the engine trusts more. Weakness in any one layer limits the others. That is why Spotlight on Startups treats SEO, AEO, and GEO as three jobs in one workflow rather than three competing acronyms. ### Why This AI Search Optimization Guide 2027 Starts With What Google Says Any AI search optimization guide for 2027 has to deal with the position Google published on May 15, 2026. Google Search Central released its first official guide to optimizing for generative AI features in Search, including AI Overviews and AI Mode. Spotlight on Startups reads that guide as a useful corrective, and this post follows it. [google](https://developers.google.com/search/blog/2026/05/a-new-resource-for-optimizing) #### What Google’s May 2026 Guide Says Google states that its generative AI features are rooted in its core Search ranking and quality systems, so SEO best practices remain relevant. In Google’s framing, the work is still SEO. [google](https://developers.google.com/search/docs/fundamentals/ai-optimization-guide) To appear in these features, a page must be indexed and eligible to show with a snippet in Google Search. Google also tells site owners to keep content crawlable. Both points sit in the SEO layer of the formula. [google](https://developers.google.cn/search/docs/fundamentals/ai-optimization-guide) #### What Google Says You Can Skip Search Engine Journal’s summary of the guide reports that Google says llms.txt files, content chunking, AI-specific rewriting, and special schema are not needed for its generative AI features. Practical Ecommerce adds that the guide warns seeking inauthentic mentions may flag a site as spam. [searchenginejournal](https://www.searchenginejournal.com/googles-new-ai-search-guide-calls-aeo-and-geo-s)[practicalecommerce](https://www.practicalecommerce.com/google-says-ai-optimization-is-just-seo) Spotlight on Startups takes those points seriously. This guide does not recommend any of those tactics as a way to win in Google. Google also published a FAQ rich results change worth knowing, which the schema section below covers. #### Why SEO, AEO and GEO Still Matter Beyond Google Google’s guide covers AI Overviews and AI Mode. It does not govern ChatGPT, Perplexity, or Claude. G2 reports that ChatGPT remains the dominant chatbot for B2B software research, used by 63% of buyers. A brand that optimizes only for Google misses most of that behavior. [demandgenreport](https://www.demandgenreport.com/?p=52737) The three-layer formula still earns its place for three reasons: 1. SEO is the foundation Google itself endorses. 2. AEO is a clear-writing discipline that serves human readers and machines alike, and nothing in Google’s guide discourages it. 3. GEO is where independent mentions come from, and those mentions have to be real. The last point matters most. A journalist’s reported feature is a real mention. A purchased or manufactured one is a risk. ### Why AI Search Is Not One Ranking Page AI search breaks the single scoreboard that SEO teams used for two decades. When someone asks an answer engine a question, the engine assembles a response from many sources. #### Ranked, Mentioned, Cited, or Missed A brand can land in one of four states for any given question: 1. **Ranked.** The page appears in traditional results. 2. **Mentioned.** The brand name appears in the generated answer, with or without a link. 3. **Cited.** The page is named as a source for a claim. 4. **Completely missed.** The brand does not appear at all. These outcomes need different work. A brand can rank on page one and still be missed in the AI answer. A brand can be mentioned often but never cited, which suggests the engine knows the name but does not use the brand’s own pages as evidence. #### What the Buyer Data Says AI search optimization matters most where buyers decide. G2 reports that 51% of B2B software buyers now start research with an AI chatbot more often than Google, up from 29% in April 2025. G2 also found that 69% of buyers chose a different vendor than they first planned because a chatbot recommended it. [g2](https://company.g2.com/news/g2-research-the-answer-economy)[g2](https://company.g2.com/news/g2-research-the-answer-economy) The picture keeps moving. G2’s July 2026 report found that 82% of buyers sourced software recommendations from an AI chatbot in the last 24 months, while review sites (38%) edged past AI chatbots (37%) as the top source influencing shortlists for the first time. These figures describe B2B software buyers, so apply them to other markets with care. [webull](https://www.webull.com/news/15271320722760704) The takeaway is simple. Visibility now happens before the click, and sometimes instead of it. ### SEO for AI Search: Make Your Content Discoverable, Crawlable, and Relevant SEO is still the foundation of AI search optimization. Great SEO gets discovered, not just published. Google says a page must be indexed and snippet-eligible before it can appear as a supporting link in AI Overviews or AI Mode. [google](https://developers.google.cn/search/docs/fundamentals/ai-optimization-guide) #### Keep Important Pages Crawlable and Indexable Start with access. Confirm that the pages you want cited are not blocked by robots.txt rules, stray noindex tags, login walls, or scripts that hide content from crawlers. Audit your pages for nosnippet directives, since a page that cannot show a snippet is not eligible for Google’s AI features. Check canonical tags, XML sitemaps, and server speed too. Then review your robots.txt policy toward AI crawlers on purpose. If you block them by default and never revisit the decision, you may opt out of the visibility you are trying to build. #### Build Clear Site Architecture and Internal Links Architecture tells people and machines how your knowledge is organized. Group related pages under clear parent topics. Use descriptive URLs. Link related pages with meaningful anchor text. Internal links do three jobs. They pass authority to priority pages, help crawlers find deeper content, and signal which pages matter most on a topic. Link from broad guides to detailed subtopics, and link back up again. #### Match Each Page to Real Search Intent Every page should serve one clear intent. Informational queries need definitions and explanations. Commercial investigation queries need comparisons and criteria. Transactional queries need clear next steps. Real intent also includes the conversational prompts people type into AI tools. “How do I get my startup mentioned by ChatGPT” is a prompt, and it carries context a short keyword does not. Pages that anticipate that specificity are easier for answer engines to match. #### Publish Original, Expert-Led Information A page that repeats what ten others say gives an engine no reason to prefer it. Original information gives it one: firsthand experience, proprietary data, expert commentary, and specific examples. Put real people behind the content. Name the author, show credentials, and explain why that person can speak on the topic. Spotlight on Startups carries a named editor’s byline on every article for this reason. #### Build Topical Depth Across Related Subjects One strong page rarely establishes authority. A cluster of connected pages does. Cover the definitions, how-to steps, comparisons, mistakes, measurement, and edge cases around a subject so that a site becomes a complete reference. ### AEO for AI Search: Structure Content So It Becomes the Answer AEO decides whether anyone quotes a page. Great AEO makes your expertise easy to understand. Muck Rack’s May 2026 report found that when people ask how to do something, AI leans on reference content and brand-owned material. A brand’s own how-to pages therefore carry real weight in the AEO layer. [nna](https://nna.org/what-is-ai-actually-reading-the-importance-of-journalism-and-earned-media) #### Answer the Main Question Immediately Lead with the answer. If a page covers “what is generative engine optimization,” the first paragraph under the heading should define it in a sentence or two that stands alone. Many writers bury the answer under a long introduction. Readers and engines both favor passages that resolve the question first. State the answer, then add nuance, evidence, and examples. A simple test helps. Read only the first two sentences under each heading. If they do not answer the heading’s question, rewrite them. #### Use Descriptive H2 and H3 Question-Led Sections Headings are signposts. Write them as the questions your audience asks. Compare “Overview” with “How does AEO differ from SEO?” The second tells a machine and a reader exactly what follows. Use H2s for main questions and H3s for supporting sub-questions. Keep the hierarchy logical so the page reads like a clean outline. #### Make Important Facts Easy to Extract Do not hide key facts in long paragraphs. Put definitions in short, self-contained sentences. State numbers, names, dates, and criteria plainly. Use bold sparingly for the terms that matter. Name things consistently. If a headline calls a concept one thing and the body calls it another, a machine has a harder time connecting the mentions. Spotlight on Startups repeats its full entity name inside sections for this reason, which helps readers who land mid-page too. Google says chunking content for AI is not required. Short, clear paragraphs still help human readers, and clear writing carries over to any engine. [searchenginejournal](https://www.searchenginejournal.com/googles-new-ai-search-guide-calls-aeo-and-geo-s) #### Add Comparisons, Steps, Tables, and FAQs Some formats mirror how questions are asked, so they are easy to use: - **Comparisons** answer “X vs Y” prompts. - **Steps** answer “how do I” prompts. - **Tables** present criteria side by side. - **FAQs** capture long-tail questions in a quotable pattern. Tables help human readers scan and give engines unambiguous facts. The formula table earlier in this guide is one example. #### Cover Likely Follow-Up Questions Naturally Conversations with AI tools continue after the first answer. After “what is AEO,” people ask how it differs from SEO, how long it takes, and how to measure it. G2 notes that buyers arrive with commercial intent from the very first prompt. [g2](https://company.g2.com/news/g2-research-the-answer-economy) Write the follow-ups into the outline before drafting. A page that leaves obvious questions open sends the reader, and the engine, elsewhere. ### GEO for AI Search: Earn Citations and Mentions in Generative AI Answers GEO is where AI search optimization moves beyond your own website. Great GEO earns citations and mentions, not just clicks. Generative engines synthesize across many sources and decide which brands and facts to include. #### Publish Original Research and First-Hand Insight Original research is a durable GEO asset because a competitor cannot replicate it by summarizing public information. A survey, benchmark, dataset, or study becomes a primary source that others must reference. First-hand insight works the same way at smaller scale. A practitioner who explains what they observed across real client work gives an engine something it cannot get elsewhere. State methodology and scope so the claims are credible, and present findings in quotable sentences. #### Add Evidence, Examples, and Unique Points of View Claims without support are easy to ignore. Data points, named examples, and cited sources give engines and readers a reason to trust a page. A distinctive, well-argued position also gives a brand a recognizable identity in the answer. Be clear about what you believe, why, and what experience backs it up. #### Create Comparison and Decision-Stage Content Many valuable AI prompts happen at the decision stage. People ask which option is best, how two approaches differ, and what to look for in a provider. A site with only top-of-funnel education is absent from those prompts. Build comparison pages, buyer’s guides, and evaluation checklists. Name real alternatives and say plainly who each one suits. Content that explains tradeoffs fairly earns more trust than content that reads like a sales page. #### Strengthen Brand-to-Topic Associations Engines learn which brands belong with which topics from patterns across the web. Ahrefs analyzed 75,000 brands and found that branded web mentions correlate with AI Overview brand visibility at 0.664, compared with 0.218 for backlinks. That is a correlation, not proof of cause, but it points the same direction as the earned media data below. [ahrefs](https://ahrefs.com/blog/ai-overview-brand-correlation/?pass=1) Build the association on purpose. Describe what you do in the same words across your site, profiles, bylines, and press. Scattered positioning produces a weak association, and a weak association produces few mentions. #### Earn Mentions From Authoritative Third Parties This is the most powerful and most overlooked GEO lever. It earns its own section below. ### Does Schema Markup Help AI Citations? What the 2026 Data Shows Schema markup is infrastructure for entity recognition, not a direct trigger for AI citation frequency. The 2026 evidence supports that position. Ahrefs tracked 1,885 pages that added JSON-LD schema between August 2025 and March 2026, matched them against 4,000 control pages, and found no major citation uplift on Google AI Overviews, AI Mode, or ChatGPT. On AI Overviews, treated pages showed a small but statistically significant 4.6% decline against controls. The study carries a caveat. Every page in the dataset already had 100 or more AI Overview citations, so the result says little about pages that AI has not yet found. [schema ai citations +2](https://ahrefs.com/blog/schema-ai-citations/) Google moved the same direction on FAQ markup. Google updated its documentation to say FAQ rich results stopped appearing in Google Search on May 7, 2026, though the FAQPage structured data type itself is not deprecated. [techwyse](https://www.techwyse.com/news/ai-search/google-faq-rich-results-deprecated-2026) Here is what that means in practice for AI search optimization: - Keep Article and FAQPage schema because it helps search engines understand a page. - Do not sell or buy schema as a citation trigger. - Spend the saved effort on original content and third-party coverage. - Track citations on your own pages instead of assuming a markup tag moved them. ### Earned Media for AI Search: Why Third-Party Coverage Carries Weight Owned content tells an engine what a brand says about itself. Third-party content tells an engine what independent sources say. That difference is why earned media sits at the center of the GEO layer. #### What the Muck Rack Data Shows Muck Rack’s December 2025 What Is AI Reading? report found that about 94% of AI citations come from non-paid sources. The analysis covered more than one million links cited by Claude, ChatGPT, Gemini, and Perplexity. Muck Rack reports that journalism consistently accounts for 20 to 30% of AI citations across its studies, and that 46% of industry trend queries cited journalism in the May 2026 edition. [Earned Media Still Drives Generative AI Citations as Press Release Visibility Grows +2](https://aimagazine.com/globenewswire/3198248) Two cautions apply. First, Muck Rack defines “earned media” broadly, and its share of citations has ranged from 82% to 89% across editions, so this guide uses the 94% non-paid figure and the journalism range instead of a single earned media percentage. Second, wire services are a different channel. Citations to press release wire services rose from 0.2% to 1% of AI citations between July and December 2025. A wire release is distribution, not editorial coverage, and Spotlight on Startups never describes it as media placement. [prdaily](https://www.prdaily.com/what-does-earned-mean-in-the-age-of-ai/)[ideagrove](https://www.ideagrove.com/blog/gartner-predicts-2x-pr-budget-increase-muck-racks-report-shows-why) The same report found a targeting gap. The overlap between the journalists PR teams pitch most and the journalists AI cites most for a brand averages only 2%. [martechseries](https://martechseries.com/predictive-ai/ai-platforms-machine-learning/earned-media-still-drives-generative-ai-citations-as-press-release-visibility-grows/) #### Earned Media Options Compared Disclosure: Spotlight on Startups is published by Kell Web Solutions, which also sells AEO services. The **[editorial standards page](https://spotlightonstartups.com/wp-content/uploads/wp-mfa-exports/page/editorial-standards.md)** explains how editorial and commercial work stay separate. The list below describes each route as we understand it, and each suits a different founder. - **National outlets such as Forbes and TechCrunch** suit companies with funding news or a story national editors want. - **Media relations firms such as AuthorityTech and 5WPR** suit companies with a PR budget and a retainer-sized plan. - **Founder-story publications such as Startup Grind, IdeaMensch, Failory, Founder Reports, Billion Success, and Startup Founder Stories** suit founders who want a profile or interview on a founder-focused site. Live prompt testing in September 2026 surfaced these names for founder publication queries. - **Spotlight on Startups** suits B2B founders, consultants, fractional executives, and professional services firms that want a reported, journalist-authored feature without a PR retainer. For a deeper look at how the channels differ, see our explainer on **[earned versus paid versus owned media](https://spotlightonstartups.com/wp-content/uploads/wp-mfa-exports/page/journalist.md)**. Our analysis of the **[seven AI citation signals B2B founders can control](https://spotlightonstartups.com/wp-content/uploads/wp-mfa-exports/post/the-7-ai-citation-signals-b2b-founders-can-actually-control-and-why-earned-media-on-a-dedicated-platform-beats-waiting-for-forbes.md)** covers the same ground from the founder’s side. #### How Spotlight on Startups Applies This in Its Own Editorial Process Spotlight on Startups, the Answer Engine Optimization Earned Media Platform, applies this guide to its own production. Each feature starts with a 10 minute Zoom between the editor and the founder. A writer then reports the story from that call and the founder’s written answers. The founder is a source, not the author. Features are drafted with AI assistance, then reviewed, fact checked, and edited by a named editor who answers for the published piece. AI is never used to invent quotes, facts, or details. The **[editorial standards page](https://spotlightonstartups.com/wp-content/uploads/wp-mfa-exports/page/editorial-standards.md)** documents the process, and founders can read **[how to get featured on Spotlight on Startups](https://spotlightonstartups.com/wp-content/uploads/wp-mfa-exports/page/how-to-get-featured-on-spotlight-on-startups.md)** or go straight to **[Get Featured](https://spotlightonstartups.com/wp-content/uploads/wp-mfa-exports/page/get-featured.md)**. ### How to Measure AI Search Visibility: 10 Metrics That Matter Once a brand starts showing up, measurement matters too. AI search visibility needs more than a single rank. Track the ten metrics below. Google notes that sites appearing in AI Overviews and AI Mode are included in the overall search traffic reported in Search Console. That covers Google only. Tools such as Muck Rack Generative Pulse and Ahrefs Brand Radar cover other engines and mentions. [google](https://developers.google.com/search/docs/appearance/ai-features?authuser=7) #### AI Visibility AI visibility is the share of tracked prompts where a brand appears in any form. It is the top-level answer to whether a brand is part of the conversation at all. #### Brand Mentions Brand mentions count how often a brand name appears in generated answers, with or without a link. Watch the trend across engines, since each one behaves differently. #### AI Citations AI citations count the times an engine names a brand’s content as a source. A citation is a stronger trust signal than a mention. A brand that is mentioned often but rarely cited may need stronger structure, evidence, or original data. #### Cited Pages Cited pages show which URLs engines use. This is one of the most actionable metrics. Study the most-cited pages for shared traits such as direct answers, clear headings, tables, or original data. #### AI Share of Voice AI share of voice compares a brand’s visibility with competitors across the same prompts. If answers mention five brands, share of voice is a brand’s portion of those mentions. #### Prompt Visibility Prompt visibility tracks, prompt by prompt, whether a brand appears. Overall AI visibility gives the average. Prompt visibility gives the map. #### Missing Prompts Missing prompts are questions where a brand should appear but does not. Each one becomes a content, structure, or earned media task. Flag the prompts where competitors appear and you are absent. #### Topic Coverage Topic coverage measures how completely a brand addresses the subjects that matter to its market. Gaps in coverage often explain gaps in visibility. #### AI Sentiment AI sentiment captures how engines describe a brand. Read the actual language in generated answers. If an engine misstates what a company does, trace the error back to the sources it likely used. #### Average Position Average position reflects where a brand tends to appear within an answer, such as first in a recommendation list or last. Track it alongside mention frequency. Together, these ten metrics show whether a brand is ranked, mentioned, cited, or completely missed, and for which questions. ### How to Run an AI Search Optimization Audit An AI search optimization audit gives a team a baseline and a priority list. Use this sequence. 1. **Build a prompt set.** List 30 to 50 prompts that real buyers might ask across awareness, comparison, and decision stages. 2. **Test across engines.** Run the prompts in ChatGPT, Perplexity, Claude, Gemini, and Google. Record whether the brand appears. 3. **Classify each result.** Mark every prompt as ranked, mentioned, cited, or missed. 4. **Identify cited sources.** Note which sites engines rely on for your topics. 5. **Review the language.** Read how engines describe your brand and your competitors. 6. **Prioritize gaps.** Rank missing prompts by business value and by how winnable they look. 7. **Assign the fix.** Decide whether each gap needs technical SEO, AEO restructuring, new GEO content, or earned media. Repeat the audit monthly. AI answers shift, so a regular cadence keeps the baseline honest. G2 reports that 41% of B2B software buyers use Deep Research tools regularly for software evaluations, which means the longer, multi-step prompts belong in the prompt set. [demandgenreport](https://www.demandgenreport.com/?p=52737) ### Common AI Search Optimization Mistakes Teams that struggle with AI search optimization tend to repeat the same mistakes. **Treating the three layers as alternatives.** Choosing between SEO, AEO, and GEO misreads the formula. They are layers. **Burying the answer.** Long preambles and vague headings make extraction harder. **Chasing tactics Google says are unnecessary.** Chunking, llms.txt files, and special AI schema are not required for Google’s AI features. **Selling schema as a citation trigger.** The Ahrefs study of 1,885 pages found no major uplift. **Publishing generic content.** Content that restates what is everywhere gives engines no reason to prefer it. **Ignoring third-party validation.** Owned content alone limits GEO. **Buying inauthentic mentions.** Google’s guide cautions against seeking them, and a reported feature from a journalist is the safer route. **Skipping measurement and maintenance.** Without tracking, a team guesses. Without refreshes, facts age. ### Your 90-Day AI Search Optimization Plan for 2027 This plan starts in Q4 2026 and runs into January 2027. It puts SEO, AEO, and GEO to work together. #### Days 1 to 30: Foundation and Baseline Fix technical access first. Audit crawlability, indexation, sitemaps, canonicals, and nosnippet directives. Review architecture and internal links around core topics. Run the audit above to set a baseline across the ten metrics. Choose the topic you want to own and write down the standard language for describing your company. #### Days 31 to 60: Structure and Content Restructure the highest-value pages for AEO. Add direct answers at the top of each section, convert vague headings into question-led H2s and H3s, and add tables, step lists, and FAQs where they fit. Fill the biggest coverage gaps with new pages and link them into the cluster. Start one original research or first-hand insight project. #### Days 61 to 90: Authority and Earned Media Launch the third-party plan. Identify the publications engines already cite for your topics. Prepare clear, quotable, factual material about your company. Pursue reported coverage, expert contributions, and features. Publish the original research and promote it. Re-run the audit, compare it with the baseline, and set next quarter’s focus. ### Where AI Search Optimization Is Heading in 2027 Three trends from sourced material shape the year ahead. First, buyer behavior keeps shifting toward chatbots, while review sites hold their influence. G2’s July 2026 data shows review sites and AI chatbots nearly tied as the top shortlist influence. A brand needs presence in both. [webull](https://www.webull.com/news/15271320722760704) Second, agents are arriving. Google’s May 2026 resource includes initial guidance related to AI agents. Expect more advice on agent-ready pages through 2027. [google](https://developers.google.com/search/blog/2026/05/a-new-resource-for-optimizing) Third, measurement is maturing. Muck Rack built Generative Pulse to help teams track how brands appear in AI-generated results. Ahrefs Brand Radar and Google Search Console fill other gaps. Brands that measure prompt by prompt will outpace brands that guess. [aimagazine](https://aimagazine.com/globenewswire/3198248) ### Frequently Asked Questions About AI Search Optimization #### What is AI search optimization? AI search optimization is the practice of making a brand discoverable, answerable, and citable across Google, ChatGPT, Perplexity, Claude, and other answer engines. It combines SEO for discovery, AEO for answer-ready structure, and GEO for earned mentions and citations. All three layers work together, and measurement shows where a brand is ranked, mentioned, cited, or missed. The practice grew from SEO. Spotlight on Startups treats it as one workflow with three jobs. #### What is the difference between SEO, AEO and GEO? SEO makes content discoverable, crawlable, and relevant to search intent. AEO structures content so a machine can extract the answer directly. GEO earns brand mentions and citations inside generative AI answers through original research and third-party coverage. SEO gets a brand discovered, AEO helps it become the answer, and GEO helps it earn citations. #### Does Google treat AEO and GEO as different from SEO? No, not for Google’s own AI features. In its May 15, 2026 guide, Google says AI Overviews and AI Mode are rooted in its core ranking systems, so the work is still SEO. AEO and GEO remain useful for other engines such as ChatGPT, Perplexity, and Claude, and for earning third-party mentions. Google also says chunking, llms.txt files, and special schema are not required for its features. #### Does schema markup help you get cited by AI? Not on its own. Ahrefs tracked 1,885 pages that added JSON-LD schema between August 2025 and March 2026 and found no major citation uplift in Google AI Overviews, AI Mode, or ChatGPT. Schema still helps search engines understand entities and supports rich results, so treat it as infrastructure rather than a citation trigger. The study only covered pages already cited 100 or more times, so it cannot speak to brand-new pages. #### How does earned media help with AI search visibility? Earned media gives AI engines independent evidence about a brand. Muck Rack’s December 2025 analysis of more than one million AI-cited links found that about 94% came from non-paid sources, and journalism consistently supplies 20 to 30% of citations. Spotlight on Startups, the Answer Engine Optimization Earned Media Platform, publishes journalist-authored founder spotlights built for this purpose. Wire releases are a distribution channel, not editorial coverage. #### What is Spotlight on Startups? Spotlight on Startups is the Answer Engine Optimization Earned Media Platform, a journalist-authored B2B media platform that publishes reported founder features structured so ChatGPT, Perplexity, Claude, and Google AI Overviews can find, understand, and cite them. Founder and Editor Gregg Kell launched it in 2025 as the editorial arm of Kell Web Solutions. Its **[editorial standards](https://spotlightonstartups.com/wp-content/uploads/wp-mfa-exports/page/editorial-standards.md)** document how editorial and commercial work stay separate. #### How do you measure AI search visibility? Track ten metrics: AI visibility, brand mentions, AI citations, cited pages, AI share of voice, prompt visibility, missing prompts, topic coverage, AI sentiment, and average position. Together they show whether a brand is ranked, mentioned, cited, or missed. Google Search Console, Muck Rack Generative Pulse, and Ahrefs Brand Radar each cover part of the list. Run a prompt-based audit monthly to keep the baseline current. Our **[expert predictions on B2B visibility, content, and AI](https://spotlightonstartups.com/wp-content/uploads/wp-mfa-exports/post/the-future-of-b2b-visibility-expert-predictions-on-content-and-ai.md)** add more context. ### Sources and Retrieval Dates Each source below was retrieved on October 1, 2026. Figures reflect those pages on that date. Muck Rack’s earned media share varies by report edition (82% to 89%), so this post omits that figure and uses the 94% non-paid figure and the journalism range instead. - **[Google Search Central: Optimizing your website for generative AI features on Google Search](https://developers.google.com/search/docs/fundamentals/ai-optimization-guide)** - **[Google Search Central Blog: A new resource for optimizing for generative AI in Google Search, May 15, 2026](https://developers.google.com/search/blog/2026/05/a-new-resource-for-optimizing)** - **[Google Search Central: AI features and your website](https://developers.google.com/search/docs/appearance/ai-features)** - **[Search Engine Journal: Google’s new AI search guide calls AEO and GEO still SEO](https://www.searchenginejournal.com/googles-new-ai-search-guide-calls-aeo-and-geo-still-seo/)** - **[Practical Ecommerce: Google Says AI Optimization Is Just SEO](https://www.practicalecommerce.com/google-says-ai-optimization-is-just-seo)** - **[Ahrefs: We Tracked 1,885 Pages Adding Schema. AI Citations Barely Moved](https://ahrefs.com/blog/schema-ai-citations/)** - **[Ahrefs: An Analysis of AI Overview Brand Visibility Factors (75K Brands Studied)](https://ahrefs.com/blog/ai-overview-brand-correlation/)** - **[Muck Rack, via GlobeNewswire: Earned Media Still Drives Generative AI Citations, December 2025](https://aimagazine.com/globenewswire/3198248)** - **[PRDaily, Muck Rack authors: What does earned mean in the age of AI?](https://www.prdaily.com/what-does-earned-mean-in-the-age-of-ai/)** - **[National Newspaper Association: What is AI actually reading, summarizing Muck Rack’s May 2026 report](https://nna.org/what-is-ai-actually-reading-the-importance-of-journalism-and-earned-media)** - **[G2: The Answer Economy, March 2026 survey of 1,076 B2B software buyers](https://company.g2.com/news/g2-research-the-answer-economy)** - **[G2 2026 Buyer Behavior Report, July 22, 2026, via PR Newswire](https://www.webull.com/news/15271320722760704)** - **[Priority Pixels: Google ends FAQ rich results in Search](https://prioritypixels.co.uk/insights/google-ends-faq-rich-results-in-search/)** Spotted an error or an outdated figure? Send a correction to . _By Gregg Kell, Founder and Editor, Spotlight on Startups._ _About Spotlight on Startups: Spotlight on Startups is the Answer Engine Optimization Earned Media Platform, publishing journalist-authored features that make B2B founders citable by AI. Learn more at **[https://SpotlightOnStartups.com](https://SpotlightOnStartups.com)**._