What Is AI SEO? A Plain Guide to Ranking in AI Search

Type a question into ChatGPT or Google's AI Overview and you get an answer, not a list of ten blue links. AI SEO is how you make sure that answer mentions you. Here is what it actually means, how AI search works under the hood, and the moves that get you cited, with the free tools to do each one.

What AI SEO Actually Is

AI SEO is the practice of structuring your content so AI search engines can recognise it, trust it, and cite it in the answers they generate. Same goal, three names: you will see it called AI SEO, GEO (Generative Engine Optimisation) and AEO (Answer Engine Optimisation). They all describe the same thing, being the source the AI quotes. We will call it AI SEO.

The shift is simple. Classic SEO got you ranking in a list of links. AI SEO gets you named inside the answer, often before anyone scrolls to a link at all.

Why SEO Changed So Fast

People stopped typing keywords and started asking questions, and the engines started answering them directly. Google's AI Overviews and AI Mode, ChatGPT search, Perplexity and Gemini now answer the question on the page, pulling from sources they trust. The click is no longer guaranteed. If you are not in the answer, you may never get the visit.

Two things drive the shift. First, the volume: AI answers now sit on top of a huge share of searches, so the old game of ranking a blue link wins less ground than it did even a year ago. Second, the behaviour: people are asking longer, more conversational questions, the kind that used to take three or four separate searches. The engine handles all of it at once and hands back a single answer. Our guide on how AI Overviews are changing SEO covers what that does to click-through rates, and why a cited mention can now beat a number-one ranking.

How AI Search Actually Works

AI search reads your question, breaks it into a fan of sub-questions, retrieves passages from different pages, and merges them into one answer with citations. That breaking-apart step is called query fan-out: one question becomes many behind the scenes. The page that answers the most of those sub-questions is the one that gets cited.

The Truth: AI SEO Is Still SEO

Here is the part nobody selling you an "AEO package" wants to admit. Google has said it plainly: optimising for AI search is optimising for search, and that is still SEO.

Straight from Google's documentation: "There are no additional requirements to appear in AI Overviews or AI Mode, nor other special optimizations necessary." No llms.txt, no AI-specific markup, no separate discipline. As Google frames it, "optimizing for generative AI search is optimizing for the search experience, and thus still SEO."

So ignore anyone selling a magic AI file or a separate playbook. The fundamentals still win. What changed is the scope: you are answering whole questions for an engine that reads passages, not ranking one page for one keyword. You can read Google's own position in its AI features documentation.

How to Do AI SEO (7 Moves)

AI SEO is good SEO pointed at how AI reads and cites. Seven moves do the work.

1. Be crawlable and readable without JavaScript. Most AI crawlers read your raw HTML and never run JS. If your content only appears after the page renders, AI sees a blank page. Check it free with Can AI See Your Page?
2. Cover the whole question, not one keyword. AI fans a query into sub-questions, and the page that answers the most gets cited. Build topical depth and clusters. Map them with the Topical Authority Map and our topical authority guide.
3. Lead with the answer. Answer-first headings and opening sentences, self-contained passages, a real FAQ. AI lifts clean chunks it can quote without editing. More on this in optimising for ChatGPT and Perplexity.
4. Add structured data. Schema helps Google and AI parse your entities and pages. Build it free with the Schema Markup Generator.
5. Add real information gain. AI is brilliant at the consensus and useless at the gap. Add the data, experience or contrarian view only you have, or you are just another page it could write itself. See the information gain guide.
6. Build off-site authority. AI weights brands it sees described consistently across the web: reviews, mentions, citations, profiles. Your entity has to exist beyond your own domain.
7. Track your AI citations. Rankings alone will not tell you whether AI is quoting you. Track where AI crawls and cites you. The Bing Citation Share report and your server logs show what rankings never will.

Notice what is missing from that list: no special AI files, no markup tricks, no separate playbook. It is good SEO, aimed at how AI reads.

The AI SEO Mistakes and Hype to Avoid

Most of what gets sold as AI SEO is noise. Skip these:

• Buying an "AEO" or "GEO" package that is just SEO with a new label. If a vendor cannot tell you what is genuinely different from good SEO, there is nothing different.
• Adding an llms.txt file and expecting magic. Google does not use it to decide what to cite, and has said no special files are needed.
• Stuffing schema you do not qualify for. Fake FAQ or review markup gets ignored or flagged. Mark up what is genuinely on the page.
• Chasing volume over substance. Thin, AI-written consensus pages are exactly what AI can already generate, so they give it no reason to cite you. Originality is the whole game.
• Optimising for one engine. The fundamentals carry across ChatGPT, Google, Perplexity and the rest. You build for all of them by building well.

The short version: do the seven moves, ignore the snake oil.

Free AI SEO Tools to Do It With

You can run the core checks for free, right now:

• Can AI See Your Page? Does AI see your content in the raw HTML?
• Schema Markup Generator. Build the structured data.
• Internal Link Checker. Find orphan pages and weak internal links so your cluster actually connects.

And the deeper guides in this cluster: query fan-out, information gain, how AI Overviews are changing SEO, and optimising for ChatGPT and Perplexity.