The AI SEO Handbook
The AI SEO Handbook is a practical reference for getting your business found and cited in AI answers. It organises everything on this site about AI SEO by what you are trying to do, so you can start with the terms, the mechanics, a specific assistant, the technical layer, measurement, or the decision to bring someone in.
Foundations
What AI SEO is, and the terms behind it: GEO, AEO, LLM SEO, and AI visibility.
- What is AI SEO? A clear definition for marketersAI SEO is optimising your content to appear in AI-generated answers, not just ranked links. It means being retrievable by AI crawlers, being a clear entity a model can identify, and being cited when assistants like ChatGPT answer a buyer's question. It shares SEO's foundation but is measured on citation, not position. It is the same practice sold as GEO, AEO, and LLM SEO.
- What is answer engine optimization?Answer engine optimization (AEO) is the practice of making your content the source an answer engine cites when it responds to a question directly, instead of returning a list of links. Answer engines include ChatGPT, Perplexity, and Google's AI Overviews. AEO is the same core work as SEO, aimed at being named in the answer rather than ranked beneath it.
- What is generative engine optimization?Generative engine optimization (GEO) is the practice of making your content the source an AI system draws on and cites when it generates an answer, in tools like ChatGPT, Google AI Overviews, and Perplexity. It is the same core work as SEO aimed at a different outcome: being named in the answer, not ranked in a list of links a buyer no longer scrolls.
- LLM SEO: how to optimize for large language modelsLLM SEO is optimising your content so large language models find, understand, and cite it in their answers, rather than only ranking it in a list. It leans less on exact-match keywords and more on clarity, structure, entity precision, and corroboration. In practice it is the same work as GEO and AEO under a new name: strong foundations, extractable answers, a clear entity, and authority.
- AI search optimization: what it is and how to do itAI search optimization makes your content easy for AI to find, extract, and cite, and builds your presence across the sources they read. It rests on four layers: access for AI crawlers, extractable answers, a clear entity, and originality worth citing. Most citations come from off your own site, so off-site corroboration matters too. It is SEO's foundation aimed at a new target.
- What is AI visibility, and how do you measure it?AI visibility is how often, and how accurately, your brand appears in the answers AI assistants like ChatGPT and Google AI Overviews give to buyer questions. You measure it by running a fixed set of prompts and recording whether you are cited, mentioned, or absent. It is the AI-era equivalent of a ranking, and most companies have never checked theirs.
- What is an AI visibility score, and is it worth tracking?An AI visibility score is a single number summarising how often, and how prominently, AI assistants mention or cite your brand across a set of test prompts. It is useful as a trend line, but on its own it is a vanity metric: it tells you that visibility changed, not why or what to fix. Treat it as the thermometer, not the diagnosis.
- AEO, GEO, and SEO: what the terms actually meanSEO is optimising to appear in search engine results. AEO, or answer engine optimisation, is optimising to be the source an AI-generated answer draws on. GEO, or generative engine optimisation, means substantially the same thing as AEO and the two are used interchangeably. In practice these are not three separate disciplines but one discipline with a broader definition of where visibility happens.
- Entity SEO: how search and AI understand youEntity SEO is the practice of optimising content around recognised things, people, organisations, products, and concepts, rather than isolated keyword strings. Search engines and AI systems reason in entities connected through a knowledge graph, not in matching text. The goal is to make your brand an entity engines understand and trust, which decides your AI visibility.
- Is SEO dead? What AI actually changedSEO is not dead, but the claim is not pure hype. Being found now has two layers: ranking in the classic results, and being cited in the AI answers above them. The fundamentals that made you rankable still matter, because AI answers are built on top of them. What dies is treating a ranking as the finish line; the work now is being the source the answer is built from.
- SEO in the age of AI: what still worksIn the age of AI, SEO's fundamentals did not stop mattering; they became the precondition for being retrievable. Crawlability, structure, internal linking, and authority are what let an AI find, read, and trust your pages before it can cite them. What changed is the goal: not only ranking a page but being the source an answer is built from, which rewards extractable answers.
How AI search works
The mechanics: how answers are assembled, which sources get cited, and why.
- How do AI Overviews work?An AI Overview is generated, not looked up. When a query triggers one, Google breaks it into sub-questions, pulls passages from pages already ranking for those components, and uses a Gemini model to write a single answer with a few cited sources. It is a layer built on top of ordinary search ranking, not a separate index you submit to.
- How AI assistants decide which sources to citeAI assistants that browse the web run a search, retrieve candidate pages, extract passages that address the question, and compose an answer from those they judge most relevant and reliable. Being citable therefore depends on three things in sequence: being retrieved at all, containing a passage that directly answers the question, and carrying signals that the source is trustworthy.
- How generative engine optimization worksGenerative engine optimization works by influencing each stage of how an AI engine builds an answer: it retrieves live sources, breaks them into passages, selects the most relevant and trustworthy ones, and synthesises a cited response. You cannot control the output, but you can improve your odds at every stage, from being retrievable to being the clearest passage to quote.
- How AI search is changing the buyer journeyAI search compresses the research phase into a single conversation, so buyers do less browsing and arrive later, with a shortlist already formed. The consideration set is now decided partly by an assistant before you get a visit. That moves the marketing job upstream: you have to be present and recommended in the answer that shapes the shortlist, not just persuasive once they reach your site.
- How often does AI update its training data for search?AI assistants get current information two ways, on very different clocks. The trained model has a knowledge cutoff and updates only when it is retrained, months apart. Live web search, which most assistants now use, reflects the current web within days to weeks. So whether an assistant knows your latest information depends mostly on whether it retrieves your current pages live.
- Are AI Overviews accurate?AI Overviews are right often enough to be useful and wrong often enough that you cannot trust them blindly. They synthesise from web pages, so they inherit the errors and gaps of the sources they draw on, and occasionally state confident nonsense. For a business there is a second problem that matters more: an Overview can describe your own company inaccurately, and that one you can influence.
- Why AI assistants cite Reddit and forums so oftenAI assistants cite Reddit and forums because they read as genuine, independent human experience, the opposite of marketing copy. Communities discuss products candidly, answer real questions, and carry the corroboration models trust. You cannot fake your way in, but you can earn presence honestly: be useful where your buyers already talk, and give those communities real reasons to mention you.
- Do online reviews affect AI search and recommendations?Yes. Online reviews affect AI search because assistants use them as independent corroboration when deciding which brands to name. Reviews are not a direct ranking dial, but they confirm your entity, signal reputation, and supply detail a model uses to recommend you. Consistent, credible, specific reviews make you a safer source to name; thin or contradictory ones weaken it.
- What makes content citable in AI answersAI answers cite the source that adds something others do not. When every page in your category repeats the same advice, a model has no reason to prefer yours, so it draws on whoever supplied the original material: first-hand data, a named method, the primary source. To be citable, stop restating the consensus, publish something only you could have written, and structure it to be extracted.
- How to earn AI citations: getting cited in AI answersYou earn AI citations by being the clearest, most credible, best-corroborated source for the question an assistant is answering. Four levers do the work: answers that stand on their own so they can be lifted, information only you have, a clear entity the model trusts, and corroboration that confirms it. Volume and keywords do not earn citations; being the best-attributed answer does.
Getting cited by each assistant
The per-surface guides: ChatGPT, Gemini, Perplexity, Copilot, Grok, and the rest.
- How to optimize for every AI assistant at onceYou optimise for every AI assistant with one foundation, not a playbook per tool. They all have to find you, understand who you are, and trust you enough to cite you, so a clear consistent entity, crawlable extractable content, and corroboration lift you across ChatGPT, Gemini, Perplexity, Copilot, and Grok at once. Per-assistant differences are tuning on top, not different strategies.
- How to show up in ChatGPT searchTo show up in ChatGPT search, your pages must be reachable by its crawler, present in the index it queries, and clear enough to extract. Four things do it: let OpenAI's crawlers fetch your site, state your answers plainly near the top of each page, keep your name and category consistent everywhere, and earn mentions from sources ChatGPT trusts. There is no submission form and no paid placement.
- How to rank in Google AI OverviewsYou do not rank in an AI Overview directly. Google builds it from pages already ranking for the query, so the route in is to earn strong conventional visibility for the query and its sub-questions, then make your answer easy to extract: a direct response near the top, self-contained passages, and coverage of the sub-questions the Overview draws on. There is no separate Overview ranking to buy.
- How to show up in Google GeminiGoogle Gemini grounds its answers in Google Search, so showing up in Gemini is largely the same work as showing up in Google: be retrievable, rank for the query and its sub-questions, and write extractable answers. Because Gemini, AI Mode, and AI Overviews share the same model and index, most of what earns you one earns you the others. There is no separate Gemini placement to buy.
- How to show up in Google AI ModeGoogle AI Mode answers a query with a conversational fan-out: it breaks your question into many sub-questions, retrieves pages for each, and synthesises one answer. You do not rank in it directly. You show up by being a strong, retrievable source for the query and its sub-questions, with extractable answers and the entity authority a synthesised answer leans on. It is AI Overviews taken further.
- How to rank on PerplexityTo rank on Perplexity you have to be a source its answer is built from, not a page in a ranked list. Perplexity retrieves relevant pages, summarises across them, and cites the ones it leans on, so it rewards content that is clearly structured, gets to the answer fast, and comes from a recognised source. Be retrievable, extractable, current, and a clear entity, and you become citable.
- How to show up in Microsoft CopilotMicrosoft Copilot grounds its answers in Bing's search index, so showing up in Copilot depends first on being indexed cleanly by Bing, then on being a citable source: retrievable, extractable, and clearly identified. The most overlooked step is Bing itself, which most marketing teams stopped checking years ago. Copilot cannot cite a page Bing has not indexed, no matter how well it ranks on Google.
- How to show up in Grok: getting named in xAI's assistantTo show up in Grok, xAI's assistant, you need to be retrieved, understood, and named when it answers a question in your category. Grok leans harder than most assistants on real-time posts from X and on live web search, so the moves are: a clear entity across the web, an active and consistent presence on X, third-party mentions it can pull, and citable, self-contained answers on your own site.
- How to show up in Meta AI: getting named in the assistantTo show up in Meta AI, the assistant inside WhatsApp, Instagram, and Facebook, you need to be retrieved, understood, and named when it answers a question in your category. It draws on live web search and the social entity Meta already holds, so the moves are: a clear, consistent entity across the web and your Meta profiles, citable answers on your site, and accurate corroboration.
- How to show up in Apple Intelligence and SiriTo show up in Apple Intelligence and Siri, you need to be retrieved, understood, and named across the sources Apple's assistant routes to: Siri's own results, web search, and its ChatGPT integration. There is no Apple-specific step. You earn it with the same discipline that wins other assistants: a clear entity, accurate profiles and structured data, and citable answers.
- How to optimize products for ChatGPT shoppingTo optimize products for ChatGPT shopping, make your product data clean, complete, and machine-readable, and make sure independent sources describe your products the same way. ChatGPT surfaces products it can understand and trust, so structured product markup, accurate specifications, honest detail, and strong third-party reviews are the levers. You earn the recommendation, you do not buy it.
- ChatGPT vs Perplexity: how each cites sourcesChatGPT and Perplexity both answer with cited sources, but they retrieve differently. Perplexity is search-first: it runs a web search on almost every query and cites heavily. ChatGPT blends its trained knowledge with web search when it judges a query needs current information, and cites more selectively. For visibility, the same short list of things gets you cited in both.
- ChatGPT vs Google AI Overviews: which to optimise forYou do not choose between them, you sequence them. Google AI Overviews sit inside the search your buyers already run, so they reach the widest audience; ChatGPT reaches people who have moved their research into an assistant, often deeper in a decision. The work that wins both is largely the same, so prioritise by where your buyers actually are, and treat the shared foundation as the real job.
Technical AI SEO
The plumbing: crawler access, rendering, schema, llms.txt, and migrations.
- Technical SEO for AI crawlersTechnical SEO for AI crawlers is mostly the technical SEO you know, aimed at new visitors: the bots that build AI search indexes and fetch pages for assistants. They need what classic crawlers need, reachable URLs, fast responses, and content in the server-rendered HTML rather than painted in by JavaScript. Get your content into the initial HTML and let these crawlers in, or you are invisible.
- Is your site blocking the AI crawlers that could cite you?Check your robots.txt for directives targeting GPTBot, ClaudeBot, PerplexityBot, Google-Extended and similar agents. Blocking them keeps your content out of AI answers that would otherwise cite you. Some agents control training use and others live retrieval: blocking training does not affect whether you are cited today, while blocking retrieval removes you entirely.
- Schema markup for AI: which types helpSchema markup helps AI systems understand what a page is and how its parts relate, which supports retrieval and entity clarity. It is not a ranking or citation lever, and adding it will not by itself get you into AI answers. The types worth your time clarify identity and content: Organization, Person, Product, Article, FAQPage, and BreadcrumbList.
- Why your schema markup isn't helping AI understand youSchema markup helps AI parse a page and connect it to a known entity, but it does not force a citation, override a confused identity, or lift a page with no clear answer in it. It is a comprehension aid, not a ranking lever. If schema is not moving your AI visibility, the problem is usually upstream: retrieval, entity consistency, or extractable content the markup describes but cannot replace.
- What is llms.txt, and do you need it?llms.txt is a plain-text Markdown file at your domain root that gives AI models a curated map of your key pages. It is cheap and low risk to add, but be honest about the payoff: Google has said it does not affect Search or AI Overviews, and there is little evidence yet that AI crawlers read it. Its clearest use today is documentation. Do not expect it to move rankings.
- llms.txt example: what a good one looks likeAn llms.txt file is Markdown at your domain root: an H1 with your site name, an optional blockquote summary, then H2 sections of curated links, each page with a one-line description. A worked example is below. The rule that matters is curation: list the handful of pages you most want an AI to understand, not every URL, and generate the file so it never goes stale.
- Does llms.txt work?Does llms.txt work? Not as a ranking or citation lever, on current evidence. Google says it does not affect Search or AI Overviews, and studies find AI crawlers rarely fetch the file. Where it does work is documentation and agents, helping a tool find the right page to finish a task. It is cheap to add as a low-risk bet, but do not expect it to move your AI visibility today.
- Do backlinks still matter for AI search?Backlinks still matter for AI search, but their role shifts. They are less a ranking score and more one signal of corroboration: evidence that credible sources take you seriously. What matters as much now is being mentioned and described consistently across the web, with or without a link. So keep earning genuine links, but treat them as part of a wider corroboration effort, not the whole game.
- How to Migrate a Website Without Losing AI VisibilityA migration protects search rankings through redirects, but redirects do not transfer citations in AI answers. Assistants cite URLs they have seen, and third-party pages still point at your old ones. Baseline your AI visibility before you migrate, keep every redirect a single hop to a page that answers the old page's question, and re-run the same prompts for 90 days after launch.
- Does AI content hurt your SEO and AI visibility?AI-generated content does not hurt your SEO because a model wrote it. Search systems judge the content, not the tool. It hurts you when it does what unedited AI does by default: restate the consensus with no original data, experience, or judgement. That kind of content is hard to rank and almost impossible to get cited in AI answers, because it adds nothing a model could not already produce.
Measure AI visibility
How to see where you stand: audits, monitoring, share of voice, and traffic.
- What an AI visibility audit checks, and when you need oneAn AI visibility audit measures how AI assistants find, describe, and cite your brand, and diagnoses why. A thorough one checks four things: whether your pages can be retrieved and rendered, whether your identity is consistent enough to understand, whether your content is extractable, and how you are described and cited across the assistants buyers use. It is a diagnosis, not a score.
- How to check whether your brand appears in ChatGPT and AI answersTo check whether your brand appears in AI answers, run a fixed set of buyer questions through each assistant they use, in a clean session with personalisation off, and record whether you are cited, mentioned, or absent, and how you are described. Check each surface separately: ChatGPT, Gemini, Perplexity, and Google AI Overviews retrieve and answer differently, and one does not predict another.
- How to measure whether your brand appears in AI answersBuild a fixed set of prompts covering how people describe your category, your brand, and the topics you claim expertise in. Run each in a clean session with memory and personalisation off, several times, across the assistants your buyers use. Score every result as cited, mentioned, or absent, and record which competitors appeared instead. Repeat on a fixed schedule.
- How to monitor your AI search visibilityYou monitor AI search visibility by testing a fixed set of buyer questions across the main assistants on a schedule, recording whether you are named, how you are described, and which sources are cited. Answers shift as the web and models change, so a single check is a snapshot. Monitoring turns it into a trend: presence over time, per assistant, per question.
- How to track AI OverviewsTo track AI Overviews, watch three things on a fixed set of buyer queries: whether an Overview appears at all, whether it names or links you, and what it does to your clicks. Search Console will not break this out, so it is part manual observation, part rank tracker, and part a GA4 read of click loss on pages whose position held. The discipline is the same query set, re-run on a schedule.
- How to track AI search trafficYou track AI search traffic by isolating the referrals assistants send you. In GA4, build a segment or channel matching the assistant domains, chatgpt.com, perplexity.ai, gemini.google.com and the rest, then watch which pages they land on. The catch: this captures clicks from assistants, not citations inside AI Overviews, which send no referral, so it is only half the picture.
- Share of voice in AI search: what it meansShare of voice in AI search is the share of relevant assistant answers that name your brand, versus competitors. You calculate it by running a fixed set of buyer questions and counting how often each brand appears. It is a useful comparative signal, but it depends on the question set, treats a passing mention like a recommendation, and shifts. Use it as one tracked indicator, not a verdict.
- How to measure the ROI of AI search and GEOYou cannot read the ROI of AI search from a traffic chart, because much of its value is influence that never shows as a click. Measure it on three levels: presence (are you cited for buyers' questions), referral (traffic and conversions from assistants), and influence (buyers who arrive already aware). Tie those to pipeline, and accept that some of the return is directional, not a clean number.
Strategy and diagnosis
What to do about it: strategy, content, and the diagnosis when you are not cited.
- AI SEO strategy: how to build one for AI searchAn AI SEO strategy is a plan for staying findable as search splits into two outcomes: ranking in a list of links and being cited inside AI answers. It sets objectives for both, allocates effort to whichever layer is actually breaking, and measures rankings and citations separately. It is an extension of SEO strategy, not a replacement, and not the same as using AI tools to do SEO faster.
- Content strategy for AI search: what to changeA content strategy for AI search optimises for being cited, not just ranked. That means covering a topic deeply enough to become the recognised source, structuring each piece as a clear answer an assistant can lift, and choosing depth over volume. The shift is from publishing more to owning a subject: fewer, better, well-connected pieces that make you the source an assistant trusts.
- Why AI recommends your competitor instead of youAn assistant recommends the company it can most confidently connect to a category. A competitor gets named instead of you when the model has stronger evidence for them: they are retrieved more often, their pages answer the question directly, their identity is consistent, and other sources corroborate them. It is an evidence gap, not a quality gap, and each cause is diagnosable.
- Does AI actually know what your company does?If AI describes your company vaguely, out of date, or as the wrong business, the problem is entity understanding: it has no clear picture of who you are. It comes from how consistently you are described across your site, structured data, and third-party sources. When those disagree, you become a fuzzy entity and a model prefers a clearer competitor. The fix is consistency, not more content.
- Why your organic traffic is falling while your rankings holdIf your positions are steady but your clicks are falling, the likely cause is that AI-generated answers are satisfying searches that used to send you a visit. The query still happens, your page still ranks, but the click never occurs. This is measurable in Search Console: find pages where impressions hold or rise while clicks fall, showing as a falling click-through rate at a stable position.
- How to recover traffic lost to Google AI OverviewsYou rarely win back the exact clicks AI Overviews absorb, because the answer now happens on the results page. What you can recover is visibility: being the source the Overview cites, ranking for queries it does not trigger, and capturing the higher-intent clicks that remain. Confirm what you lost in Search Console, then shift from chasing volume to earning citations and intent.
- Why publishing more content lowers your AI visibilityPublishing more content usually lowers AI visibility, because volume works against what these systems reward. A flood of thin, similar pages dilutes your entity, so a model is less sure what you are known for; it repeats the consensus, so none of it is worth citing; and it buries your genuinely strong pages. The fix is fewer, more original pages, and pruning the rest, not publishing faster.
- E-E-A-T for AI search: does author authority matter?E-E-A-T matters for AI search, but as a source-trust signal rather than a ranking score. Assistants prefer content they can attribute to real, qualified people and corroborate elsewhere, so named authors with genuine credentials, first-hand experience, and an independent reputation are more citable than anonymous brand copy. You build it by making real expertise visible and verifiable.
- How to optimize FAQs for AI search and citationFAQs are one of the most citable formats in AI search because they do what assistants want: pose a real question and answer it in a self-contained block. To optimise them, use the questions buyers actually ask, answer each directly, keep answers accurate and specific, and add FAQ schema so the structure is explicit. The format helps only if the answers are genuinely useful.
- How to update old content for AI searchYou update old content for AI search by making your best existing pages extractable, current, and clearly attributed, not by publishing new ones. Find pages that already cover buyer questions, restructure each answer to stand alone, correct anything dated, and add the specifics only you can provide. A focused refresh of pages assistants already reach usually beats adding more.
- AI tools for SEO: categories, examples, and limitsAI tools for SEO fall into a few categories: content optimisation, keyword and intent research, technical crawling, and the newer AI visibility trackers that show whether AI answers cite you. Each speeds up part of the work, but none replaces the judgement that decides what to fix first. Pick tools by the job you need done, not by the length of a features list.
Hiring and working with a specialist
When to bring someone in, and how to tell a diagnosis apart from delivery.
- What does an AI SEO consultant do?An AI SEO consultant makes sure AI assistants can find, understand, and name your business when buyers ask for recommendations. The work is diagnosis and strategy: auditing how assistants see you, fixing the entity, access, and content problems that keep you uncited, and setting up measurement. It extends traditional SEO by adding a second outcome, citation in AI answers, on top of ranking.
- When do you need an AI SEO consultant?You need an AI SEO consultant when assistants describe your business wrongly or not at all, a competitor keeps getting named instead of you, traffic is flat while rankings hold, or you cannot see what assistants say about you. These signal a diagnostic problem, not a content gap. If you understand the gap, you may not need one; if you cannot tell why you are uncited, you do.
- AI SEO agency vs consultant: which do you need?An AI SEO agency and an AI SEO consultant solve different problems. An agency executes: the ongoing implementation, content, and technical work. A consultant diagnoses: why your AI visibility is failing, what the strategy should be, and what to fix first. You need a consultant when the problem is unclear, and an agency when the plan is clear and needs delivering at scale.
- In-house vs agency for AI SEO: how to decideDeciding between in-house and agency for AI SEO turns on two jobs: diagnosis and delivery. Diagnosis, working out why assistants ignore or misdescribe you and what to fix, is specialist and often best bought in. Delivery can sit in-house if you have the capacity, or go to an agency if not. The mistake is treating it as one decision; diagnose first, then choose how to deliver.
- GEO vs SEO: do you need a new agency or the same one?GEO and SEO share most of their technical foundation, so you rarely need a separate agency or team for AI search. What you need is a provider who measures the right outcome and has reprioritised for it. Bring in a specialist only when your current provider cannot show a method for measuring AI visibility, or treats AI search as a product to upsell rather than a shift in the work they already do.
- Answer engine optimization services: what to look forAnswer engine optimization services help your brand get found, understood, and cited by AI assistants. They split into two offers: diagnosis, which measures your AI visibility and tells you what to fix and in what order, and delivery, which does the technical and content work. Most should start with diagnosis: paying for delivery before you know the cause spends budget on the wrong layer.
- Generative engine optimization services: how to chooseGenerative engine optimization services help your brand get retrieved, understood, and cited by AI assistants. They cover two jobs: diagnosis, which measures your AI visibility and finds what to fix first, and delivery, the technical and content work that closes the gaps. Start with diagnosis, keep it independent of delivery, and treat any guarantee of placement as a reason to walk away.
- Generative engine optimization strategies that workThe generative engine optimization strategies that work match how AI builds an answer: make your content retrievable by AI crawlers, make your identity consistent so a model knows who you are, structure key answers so they extract cleanly, and earn independent corroboration. The winning move is to fix your lowest broken layer first, not to spread effort thinly across tactics.
- Generative engine optimization best practicesThe generative engine optimization best practices that hold up are principles, not tricks: measure before you change anything, write answers that stand on their own, keep one consistent identity across the web, and earn corroboration you cannot fake. Most of the value is in avoiding the expensive mistakes, chiefly publishing volume and gaming the model, rather than in any single tactic.
- A practical generative engine optimization checklistA generative engine optimization checklist works best ordered by cause: the fixes are prerequisites for each other. Work in this order: make your content retrievable, make your identity consistent so a model knows who you are, make your key answers extractable, earn corroboration, and measure on a fixed schedule. Doing these out of order wastes effort on layers that cannot yet pay off.
AI SEO by industry
How the work changes for a specific category, from SaaS to hospitality.
- AI SEO for B2B: staying in the AI consideration setAI SEO for B2B is staying in the consideration set when buying committees research solutions inside AI assistants. B2B is exposed because research-heavy journeys are full of category, comparison, and best-tool questions that assistants answer directly. The moves: own your category entity, earn analyst and review corroboration, and make solution and comparison pages extractable.
- AI SEO for SaaS: staying visible in AI answersAI SEO for SaaS is staying visible when buyers research software inside AI assistants instead of a list of links. SaaS is unusually exposed, because much of the buying journey is comparison and best-tool-for-X questions that assistants answer by naming a few products. The moves: own your category entity, earn third-party corroboration, and make your product and comparison pages extractable.
- AI SEO for ecommerce: getting products into AI answersAI SEO for ecommerce is staying visible when shoppers ask an assistant what to buy rather than scan a list of results. Stores are exposed because product, category, and best-X questions are what assistants answer by naming a few options. The moves: clean product and collection entities, structured data on every listing, third-party review corroboration, and extractable comparison pages.
- AI SEO for local business: getting named in AI answersAI SEO for local business is being named when someone asks an assistant for a service near them. Assistants lean on the signals that feed the local pack plus independent corroboration: a complete Google Business Profile, matching contact details everywhere, and real reviews. The moves: lock entity consistency across directories, and publish extractable, location-specific answers.
- AI SEO for professional services: getting recommendedAI SEO for professional services is being the firm an assistant recommends when a buyer describes a problem rather than a service. With no product to compare, assistants rely on how clearly you define your expertise and how independent sources describe you. The moves: a sharp specialism entity, demonstrable expertise on the page, and citable, problem-framed content.
- AI SEO for agencies: getting named in AI answersAI SEO for agencies is being the agency an assistant names when a prospect asks which firm to hire for a service, sector, or outcome. The decision turns on specialism and proof, so assistants weigh how clearly you are positioned and how well your work is corroborated. The moves: a sharp specialism entity, named results, consistent profiles, and citable answers to buyer questions.
- AI SEO for consultants: getting named in AI answersAI SEO for consultants is being the person an assistant names when a client asks who to hire for a specific expertise. The decision is authority-driven, so assistants weigh how clearly your specialism is defined and how well it is corroborated. The moves: a sharp personal entity, visible credentials and results, a consistent presence, and citable answers to client questions.
- AI SEO for startups: getting named in AI answersAI SEO for startups is getting AI assistants to find, understand, and name a company they have barely heard of. A startup's problem is not a bad reputation but no established entity: too little information to retrieve, too little corroboration to trust. The moves: define a clear entity from day one, keep it consistent everywhere, earn genuine mentions, and publish specific, citable answers.
- AI SEO for healthcare: getting cited in AI answersAI SEO for healthcare is being the practice or provider assistants name when someone researches a symptom, condition, or treatment. Health is a high-stakes category, so assistants weigh credentials, accuracy, and independent corroboration heavily. The moves: unambiguous service and location signals, genuine clinical expertise on the page, and citable, medically accurate answers.
- AI SEO for law firms: getting cited in AI answersAI SEO for law firms is being the firm assistants name when someone asks for help with a legal problem. Law is a trust-sensitive category, so assistants weigh credentials, a consistent entity, and independent corroboration heavily. The moves: unambiguous practice-area and location signals, real attorney credentials on the page, and citable, jurisdiction-specific answers.
- AI SEO for financial services: getting cited by AIAI SEO for financial services is being the firm assistants name when someone researches a financial product, decision, or provider. Finance is a high-stakes category, so assistants weigh credentials, accuracy, and corroboration heavily. The moves: unambiguous product and audience signals, genuine expertise and compliant content, and citable, accurate answers to the money questions buyers ask.
- AI SEO for real estate: getting named in AI answersAI SEO for real estate is being named when someone asks an assistant about a market, a neighbourhood, or an agent. Property research is local, comparison-heavy, and trust-driven, which assistants answer by naming a few options. The moves: a clear service-area and specialism entity, consistent profiles across property portals, and citable, local-market answers buyers and sellers search for.
- AI SEO for hotels: winning AI-driven discoveryAI SEO for hotels is staying visible when travellers ask an assistant where to stay instead of scrolling a results page. Hotels are exposed because much discovery is now best-hotel-in-X questions that assistants answer by naming a few properties. The moves protect direct bookings: a consistent identity, strong structured data, authentic reviews, and content answering travellers' real questions.
- AI SEO for restaurants: getting named in AI answersAI SEO for restaurants is being the place an assistant names when a diner asks where to eat. The decision is local and reputation-driven, so assistants lean on your listings, reviews, and details that match a diner's intent: cuisine, location, occasion, dietary needs. The moves: accurate, consistent listings, a strong current review presence, and clear answers to what diners ask.
- AI SEO for dentists: getting named in AI answersAI SEO for dentists is being the practice an assistant names when someone asks about a treatment or a dentist near them. Dental search is local and trust-driven, so assistants name a few practices. The moves: unmistakable service and location signals, genuine clinical credentials on the page, consistent profiles across directories and reviews, and citable answers to the questions patients ask.
- AI SEO for accountants: getting named in AI answersAI SEO for accountants is being the firm an assistant names when someone asks who to hire for tax, bookkeeping, or advisory work. The decision is trust-heavy and specialism-driven, so assistants weigh credentials before naming anyone. The moves: a clear specialism and client-type entity, credentials on your content, consistent profiles, and citable answers to the money questions clients ask.
- AI SEO for home services: getting named in AI answersAI SEO for home services is being the contractor an assistant names when a homeowner asks who to hire for a repair or installation. The work is urgent, local, and trust-driven, so assistants name a few providers. The moves: unmistakable service-area and trade signals, consistent profiles across Google and directories, a genuine review record, and citable answers to homeowner questions.
- AI SEO for insurance agencies: getting named in AI answersAI SEO for insurance agencies is being named when someone asks an assistant about cover, a policy question, or who to buy from. Insurance is comparison-heavy and trust-sensitive, so assistants name a few providers. The moves: a clear line-of-business and territory entity, licensing on the page, consistent profiles, and citable, accurate answers to the cover questions buyers ask.
- AI SEO for manufacturers: getting named in AI answersAI SEO for manufacturers is being named when a technical buyer asks an assistant for a supplier, a capability, or a comparison. Industrial buying is research-heavy and specification-driven, so assistants shortlist suppliers before a human makes contact. The moves: a precise capability entity, clear technical content an assistant can lift, consistent industrial profiles, and corroboration.
- AI SEO for recruiting and staffing firmsAI SEO for recruiting firms is being named when a client asks an assistant which agency to use, or a candidate asks who to work with. Both sides research via assistants, which name a few specialists. The moves: a clear niche and sector entity, consistent profiles, genuine corroboration, and citable answers to the hiring and job-search questions each side asks.
- AI SEO for MSPs: getting named in AI answersAI SEO for MSPs is being the managed IT provider an assistant names when a prospect asks which firm to hire for IT support, security, or cloud. The decision turns on specialism, service area, and trust, so assistants weigh how clearly you are defined and corroborated. The moves: a clear MSP entity by service and sector, visible credentials, consistent listings, and citable answers.
FAQ
Common questions
- What is AI SEO?
- AI SEO is the work of getting your business retrieved, understood, and cited when people ask AI assistants a question, rather than only ranked in a list of links. It builds on the same technical foundation as SEO but is judged on citation, not position.
- How is this handbook organised?
- By intent, not by date. The sections move from the foundations and how AI search works, through getting cited in each assistant and the technical layer, to measurement, strategy, hiring, and how the work changes by industry. Each entry is a self-contained article you can read on its own.
- Where should I start?
- If AI SEO is new to you, start with Foundations. If you know the terms and want results, go to how AI search works, then measurement, so you can see where you stand before you change anything. If you are evaluating help, the hiring section compares diagnosis and delivery.
- Is AI SEO the same as GEO and AEO?
- Largely, yes. Generative engine optimization and answer engine optimization are narrower names for the same core work of being cited in AI-generated answers. AI SEO is the umbrella. The glossary sets out each term and where they genuinely differ.
- How often is the handbook updated?
- Continuously. New articles are added to the relevant section as they publish, and the glossary grows alongside them. It is a living reference rather than a fixed course.