What Is AI SEO?

What Is AI SEO?

AI SEO is optimising for the answer, not only the list of links. When a buyer asks an AI engine which software to shortlist, the engine writes one answer and names a handful of brands. AI SEO is the work that decides whether yours is one of them, and whether the engine links to your pages when it does.

The term is used two ways, which causes most of the confusion around it. Here it means visibility in AI search. It is also used for AI-assisted SEO: using language models to draft pages, cluster keywords or audit a site. Those are tools; whatever they produce still has to earn its place in an answer like any other page.

AI SEO vs SEO

AI SEO shares SEO’s foundations: pages must still be crawlable, indexed and relevant to the question. Google’s documentation for site owners goes further, stating that “there are no additional requirements to appear in AI Overviews or AI Mode, nor other special optimizations necessary”.

In our experience, the differences are significant. They show up mainly in content strategy, in how content is structured, and in writing it so engines can extract it and say what you want them to say about your brand. AI engines are language models: the language in your content, on your own site and on other sites, shapes how they describe you.

	SEO	AI SEO
The goal	A page ranks for a query	The brand is named or cited in an answer
Unit of work	The page	The brand, and the sources that mention it
How content is written	To rank a page for a query	To be extracted as an answer, and to shape the words engines use about the brand, on your site and off it
What decides it	Relevance, quality and links to the page	Retrieval, a passage the engine can quote, and agreement across sources
How it is measured	Rankings, clicks and traffic	The share of a fixed set of buyer questions that name or cite the brand
What stays the same	Crawlability, indexing and genuinely useful content

AI SEO vs GEO and AEO

The labels overlap. Generative engine optimisation (GEO) stresses being named and cited in generated answers; answer engine optimisation (AEO) stresses having a passage extracted as the answer. AI SEO is the umbrella for both, plus technical access and measurement. Our guide to GEO vs AEO vs AI SEO compares them in detail.

How Does AI SEO Work?

When they search the web, AI engines answer from the pages they retrieve, so AI SEO works on three stages: whether the engine can fetch and retrieve your pages, whether it picks a passage it can quote, and whether other sources it retrieves name you too. Brands that several retrieved sources mention tend to be the ones named.

1. Buyer prompt “Best SOC 2 compliance software for a 50-person SaaS company?”
2. →
3. AI engine Searches the web, often with several related queries, and reads the pages that come back.
4. →
5. Sources retrieved
   • Your own site
   • Editorial coverage
   • Comparisons and lists
   • Reviews and communities
6. →
7. Answer Tends to name the brands several sources mention, and cites some of the pages.

• 1 Access Can the engine fetch your pages?
• 2 Extraction Can it lift a clear answer from them?
• 3 Corroboration Do other sources name you too?

1. Retrieval

The engine searches and reads what comes back. According to Google’s guidance on AI features, AI Overviews and AI Mode may use a “query fan-out” technique, “issuing multiple related searches across subtopics and data sources”, and a page must be indexed and eligible to show with a snippet to appear as a supporting link. ChatGPT leans on search too: Ahrefs’ study of 1.4 million ChatGPT prompts (April 2026) found that 88% of the URLs ChatGPT cited were taken directly from search.

2. Selection

Retrieved is not the same as cited, and cited is not the same as named. Which pages the engine quotes, and which brands it names, depends on what those pages say. In our October 2026 study of 262 AI answers to questions about hiring an AI SEO agency, the type of page cited made a large difference.

The engine cited	Company named in the answer
The company’s own service page	86% (241 of 280 citations)
A “best of” list on the company’s own site	44% (330 of 745 citations)

Source: Ranking Atlas, Onsite Listicles Still Work (If You Put in the Offsite Work): 262 answers to 26 questions about hiring an AI SEO agency, ChatGPT, Gemini and Perplexity, 5 to 7 October 2026.

3. Corroboration

Brands that other sources mention are named more often. In Ahrefs’ study of 75,000 brands (May 2025), branded web mentions had a Spearman correlation of 0.664 with brand visibility in AI Overviews, against 0.218 for backlinks. Our own study points the same way, though it shows an association in one market, not a cause.

Other answers in the sample that named the company	Named when its own list was cited
None	22%
One to four	44%
Five or more	68%

Source: Same study; companies whose list was cited three or more times.

What Are the Parts of AI SEO?

AI SEO has five parts: technical access, content engines can quote, corroboration on other sites, a consistent description of the company everywhere it appears, and measurement. The first two happen on your own site; the third is the slowest, and the one a company cannot do on its own site; the last shows whether the rest is working.

Technical access

AI search crawlers have to be allowed in by your robots.txt and let through by your firewall or CDN. The crawlers that power answers are not always the ones that collect training data. Our robots.txt checker and AI bot block test check both.

Content engines can quote

Pages that answer the question in their first lines, use specific numbers and name their sources give an engine a clear passage to lift. The founding research on generative engine optimisation, Aggarwal et al. (KDD 2024), found that adding statistics, quotations and cited sources raised a source’s visibility in generated answers by up to 40% on the authors’ GEO-bench benchmark.

Corroboration on other sites

Engines tend to name brands that several independent sources mention: editorial coverage, comparison lists, review sites and community discussion. This is the part a company cannot write for itself. Earned coverage, including through digital PR, is one way to build it.

Consistent entity information

The company, its products and its people should be described the same way on its own site, in directories, on review sites and in coverage. Consistent descriptions make it easier for an engine to recognise that several sources are talking about the same brand.

Measurement

A fixed set of buyer questions, run on a schedule, shows whether the other four parts are working. The next sections cover how.

How Does AI SEO Differ by Engine?

The work is the same across engines, but each one uses its own crawlers and retrieval, so access and results are checked per engine. A brand can be named by ChatGPT and missing from Perplexity for the same question, which is why measurement is always reported engine by engine rather than as one blended score.

ChatGPT

According to OpenAI, OAI-SearchBot surfaces sites in ChatGPT search, and sites that block it are not shown there; GPTBot crawls for model training. Blocking GPTBot alone does not remove a site from ChatGPT search.

Google AI Overviews and AI Mode

Both are built on Google Search. In May 2024 Google said the model behind AI Overviews is integrated with its core web ranking systems, and a page must be indexed and eligible for a snippet to be a supporting link. Googlebot governs access.

Perplexity

According to Perplexity, PerplexityBot surfaces and links websites in Perplexity’s search results; Perplexity-User fetches a page when a user asks for it.

Gemini

According to Google, the Google-Extended token controls whether content is used for Gemini training and grounding, and it does not affect inclusion in Google Search.

Claude

According to Anthropic, Claude-SearchBot indexes pages for Claude’s search answers, while ClaudeBot collects content for model training.

How Do You Measure AI SEO?

Measure AI SEO with a fixed set of the questions your buyers ask, run through each engine on a schedule. Record which brands each answer names and which pages it cites, keep branded and non-branded questions separate, and compare every run with a baseline taken before the work started. Track the share of questions that name you, per engine.

Our AI visibility measurement method is free to use, and the paid trackers that automate it are compared in our guide to AI visibility tools.

How Do You Get Started With AI SEO?

Start by checking that AI crawlers can reach your site, then measure where you stand before changing anything. With a baseline in place, make your key pages easy to quote, work on coverage elsewhere, and re-run the same questions each month to see what moved. The five steps below follow that order.

1. 01

   Check access

   Run the robots.txt checker and the AI bot block test to confirm AI search crawlers can fetch your pages.

2. 02

   Set a baseline

   Write down 20 to 50 questions your buyers ask, run them through the main engines, and record which brands are named and which pages are cited.

3. 03

   Make key pages quotable

   Answer the question in the opening lines, use specific numbers, name your sources and keep the company description consistent.

4. 04

   Earn corroboration

   Get the brand into the coverage, comparisons and reviews the engines retrieve for your category.

5. 05

   Measure again

   Re-run the same questions monthly against the baseline, with branded and non-branded questions reported separately.

What Are the Common AI SEO Myths?

The myths below treat AI SEO as a technical trick rather than a question of who vouches for the brand. Four are worth addressing, and each is contradicted by the engines’ own documentation, by measured results, or by the absence of any confirmation from the engines themselves.

• “AI SEO replaces SEO.” A page still has to be crawled and indexed before an engine can retrieve or cite it, so SEO foundations still matter. What changes is the content work built on top of them.
• “Blocking GPTBot takes you out of ChatGPT.” OpenAI documents GPTBot as its training crawler. OAI-SearchBot is the one that surfaces sites in ChatGPT search, and sites that block it are not shown there.
• “An llms.txt file gets you cited.” As of October 2026, no AI engine has confirmed that it reads llms.txt. It does no harm, and our llms.txt generator builds one in seconds, but it is not a lever.
• “Publishing your own ‘best of’ list is enough.” In our October 2026 study of AI SEO agency questions, engines named the company in 44% of answers that cited its own list, and 22% of the time when no other answer in the sample named it.

Frequently Asked Questions

Is AI SEO the Same as GEO?

Nearly. GEO, generative engine optimisation, is the part of AI SEO concerned with being named and cited inside generated answers. AI SEO is the broader label and also covers technical access and measurement. Many people use the two interchangeably.

How Long Does AI SEO Take to Work?

It depends on how contested the question is. Fixes to crawler access and page structure can show once engines fetch the pages again, while coverage on other sites builds over months. Measure against a baseline taken before the work starts rather than guessing.

Do You Need Special Tools for AI SEO?

Not to start. A spreadsheet and the engines themselves will cover a small set of questions, and free checks show whether AI crawlers can reach your site. Paid trackers earn their fee once you track dozens of questions across several engines.

Does AI SEO Work for B2B Software Companies?

The method is the same. What changes is where the corroboration comes from: for B2B software it can come from review sites, analyst and comparison lists, trade press and the communities where buyers discuss tools.