What Is AI SEO? From Crawl Access to a Cited Answer

You will also hear it called AI search optimisation. Three narrower labels describe parts of the same job: generative engine optimization (GEO), answer engine optimization (AEO) and LLM optimization (LLMO).

AI SEO: how it works, from crawl access to a cited answer

AI SEO follows a chain of five stages, and a page can fall out at any one of them.

1. Crawl. A bot such as Googlebot, Bingbot or OAI-SearchBot must reach the page. Robots.txt, a firewall or a CDN can stop it.
2. Index. The page has to be stored and eligible to show. Google says a page must be indexed and snippet-eligible to appear as a link in AI Overviews or AI Mode.
3. Retrieve. The system searches for material. Google’s guide names two techniques: retrieval-augmented generation (RAG), also called grounding, and query fan-out, a burst of related searches run at once.
4. Answer. A language model writes a reply from the passages it fetched.
5. Cite. A few sources get a visible link. Others shape the reply and get no credit at all.

Google stated the principle in its guide Optimizing your website for generative AI features on Google Search, updated on 10 July 2026.

Its AI features are “rooted in our core Search ranking and quality systems.”

Access rules elsewhere are just as strict. OpenAI’s crawler overview says sites that opt out of OAI-SearchBot will not be shown in ChatGPT search answers. Perplexity uses PerplexityBot to surface and link sites.

A second layer sits underneath. Without a live search, an assistant relies on what its model absorbed in training, so how the wider web describes your brand matters.

That half looks like PR, which is why Digital Magma audits both layers first.

AI SEO vs SEO, GEO, AEO and LLMO compared

AI SEO is the umbrella term in this knowledge base. The other labels each name one slice of the same work.

Google is blunt about the labels. Its July 2026 guide says that, from Google Search’s view, optimizing for generative AI search is still SEO.

The same guide asks site owners to check any third-party AEO or GEO advice against Google’s guidance on hiring SEO help.

Digital Magma reads the five labels as one checklist. If a vendor sells GEO and SEO as two unrelated retainers, ask which tasks differ.

AI SEO for a business: why it matters now

AI SEO matters because the answer now often arrives before the links, and fewer people click through.

Pew Research Center tracked the browsing of 900 US adults in March 2025. Its short read of 22 July 2025 reported the click rates below.

With an AI summary on the page, users clicked a traditional result in 8% of visits.

Without one, they did so in 15% of visits. A link inside the summary got clicked in just 1% of visits.

Google tells the other side. Its guide on AI features says clicks from pages with AI Overviews are higher quality, as visitors tend to stay longer. That is Google describing its own product.

Usage keeps rising as well. In a May 2025 post, Google said AI Overviews drove an over 10% rise in usage for the queries that show them, in big markets like the US and India.

Both can hold at once: fewer clicks, but warmer ones. The quiet risk is absence. An assistant names three rivals, and you never hear about the lost enquiry.

AI SEO: what to do first (6 steps)

AI SEO starts with access and evidence, then content. This is the order Digital Magma follows when a business asks where to begin.

1. Check crawler access. Read robots.txt for Googlebot, Bingbot, OAI-SearchBot and PerplexityBot. Then check the CDN and firewall, which Google also lists as crawl blockers.
2. Confirm indexing on Google and Bing. Use Google Search Console and Bing Webmaster Tools. Bing’s AI report covers Microsoft Copilot, so a page missing from Bing loses that route.
3. Check the Search Console AI setting. Google’s July 2026 guide adds a condition: the site must be included in Search generative AI features. That is the default, so confirm nobody switched it off.
4. Make key content render as HTML. If important text appears only after JavaScript runs, fix that early. Our team moved one anonymised UK tele-oncology startup from React to Next.js. It ranked for 30+ keywords in month one, 8 at #1, a classic SEO result.
5. Write answer-first, first-hand content. Google’s guide asks for “non-commodity” content: expert or experienced takes beyond common knowledge. Put a direct answer under each question heading, then the detail.
6. Make brand facts match everywhere. Name, address, phone, services and founder should agree on your site, Google Business Profile and directories.

How to measure AI SEO: Search Console, Bing AI Performance and prompt checks

Measuring AI SEO takes three sources, because no single report sees every assistant.

Google Search Console: Generative AI performance report

Google’s help page for the report says it reached all websites worldwide as of 31 August 2026. It shows impressions from AI Overviews and AI Mode.

You can group the data by page, country, date or device. An impression means a link to your site was shown in one of those features.

Bing Webmaster Tools: AI Performance

Microsoft introduced AI Performance as a public preview on 10 February 2026. It counts citations across Microsoft Copilot, AI summaries in Bing and some partner tools.

The dashboard reports total citations, average cited pages, citations per URL and grounding queries. Those are the phrases the AI used when it fetched your content.

Prompt checks for ChatGPT, Perplexity and Gemini

Neither report covers ChatGPT or Perplexity. For those, keep a fixed list of 20 to 50 buyer questions. Run it each month and log which brands each tool names and links.

Digital Magma reads all three together each month. Treat paid trackers with care: Google says no third-party tool can see its internal ranking or AI systems.

AI SEO myths Google itself warns against

AI SEO attracts plenty of hacks, and Google’s July 2026 guide lists several you can ignore for Google Search.

• “You need an llms.txt file.” Google says Search ignores llms.txt and similar AI text files. They neither help nor harm your Google visibility, though other services may read them.
• “Chop content into small chunks.” Google says its systems handle several topics on one page. It also says there is no ideal page length.
• “Buy mentions to get cited.” Seeking inauthentic mentions is less helpful than it looks. Spam systems apply to AI features as well.
• “Special schema gets you in.” No special schema.org markup is required. Structured data still helps with rich results.
• “Make a page for every fan-out query.” Doing that mainly to manipulate AI answers breaks Google’s scaled content abuse policy.

These points cover Google only. Other engines publish less about ranking, so Digital Magma tests them with prompt checks instead of guessing.

AI SEO: frequently asked questions

AI SEO questions business owners ask us most, with short answers.

AI SEO: related terms, sources and author

AI SEO connects to every entry in this knowledge base. These are the closest:

• Generative engine optimization (GEO): the research term for getting cited in generated answers
• Answer engine optimization (AEO): writing passages an engine can lift as the answer
• LLM optimization (LLMO): what models say about a brand without searching
• Google AI Overviews: AI summaries at the top of Google results
• AI citation: a linked source attached to an AI answer
• Query fan-out: one question split into many related searches

Sources

Google Search Central (the July 2026 guide, the AI features page and Search Console help), Microsoft’s Bing Webmaster blog, Pew Research Center, OpenAI and Perplexity. Digital Magma checked each source on 21 October 2026.