SEO & Content · updated · 8 min read· By Frederiek Pascal

AI SEO: how to optimise your website for AI search engines

AI SEO builds on your existing SEO. What still counts, what changes and what to add now that AI answers sit above the results, and how you measure it.

A checklist of four AI visibility factors, three ticked and authority still open

Summary

  • SEO for AI is not a replacement for your existing SEO but an extension: the same foundation, a different unit of measurement.
  • Accessibility, structure and authority still count, but a high Google position guarantees no mention in AI answers.
  • What is new: optimising for citation instead of for the click, with citable content and clear entities.
  • You measure SEO for AI not in rankings but in mentions, share of voice and sentiment across multiple AI models.

AI SEO, also called SEO for AI, is the work of getting your site found and cited in AI answers, on top of classic SEO: the same technical foundation still counts, and the unit of measurement shifts from rankings to citations. If you have been doing SEO for years, the arrival of AI search can feel like a threat, and the short answer is that it is not one. This article shows what part of your SEO keeps working, what changes now that AI rewrites the search results, and what gets added on top.

Is SEO dead because of AI?

SEO is not dead, and the definition of success is shifting. The foundation of good SEO, an accessible and authoritative site with a clear structure, is exactly what AI models need in order to read and cite you. Google's Danny Sullivan said in December 2025, as Search Engine Land reported, that SEO for AI is still SEO and that the advice behind the new acronyms stays the same.

Your fundamentals stay; your goal changes. You used to optimise to get clicked from a list of links. Now you also optimise to get cited in an answer the AI assembles itself. How those two relate exactly is covered in GEO vs SEO: the difference, the definition of the term in what GEO is, and the name confusion with geo-targeting in GEO marketing.

What part of your SEO still counts for AI?

Your technical SEO stays the gateway: if a crawler can reach and read your site, an AI model can take your content on board. Accessibility, a logical structure with clear headings, fast load time and reliable authority all still weigh in. An AI that cannot fetch your page cannot cite it either.

Your Google position even helps, just not as strongly as you might think. Research by Ahrefs (July 2025) found a positive but modest link between organic ranking and citation in Google AI Overviews: ranking higher raises your chance, but even the page at position 1 is far from always cited in the AI answer. In an update from March 2026, reported by Search Engine Journal, 38% of the pages cited in AI Overviews still ranked in the top 10, against 76% in July 2025. Ahrefs also improved its measurement method in the same update and suspects that query fan-out plays a bigger role, so the difference is partly methodological. Correlation is not causation, and ranking is no guarantee. So you keep your technical SEO in shape, but you do not lean on it as your only lever.

One SEO habit even pays off twice: structured writing. Clear H2 headings, short paragraphs, numbered lists and tables always made your content more readable for Google, and they are precisely the footholds an AI model needs to extract a passage. What you did for featured snippets now works for AI citations too. The full technical check is in the AI-Readiness score and the GEO audit checklist.

What changes about SEO in the AI era?

The biggest change is that the click disappears, and with it the metric SEO always ran on. More and more often the AI answers the question directly, without the user clicking through. Click-through fell from 15% to 8% when an AI summary appeared in US data from the Pew Research Center (July 2025), a result Google disputed on methodology. SparkToro measured that in early 2026 more than two thirds of US Google searches ended without a click. These are US figures, indicative of the broader trend.

At the same time, search itself is becoming something else. Google AI Overviews reached 2 billion monthly users in July 2025, and the new AI Mode counted more than 100 million in the United States and India by then. AI Mode uses, according to Google, a "query fan-out" technique: it fires several related searches at once across sub-topics and sources, and stitches them into a single answer. So your content is up against a whole cluster of questions at once, and the goal is to be mentioned in the composite answer. Veesie measures your brand's AI visibility, so you can track that shift.

What is new: optimising for citation

The new work, often called AI optimisation, sits in citability: writing your content so an AI model can take it on board without hesitation. The GEO study from Princeton (KDD 2024) found that citing sources, adding quotes and adding statistics scored 30 to 40% higher, the best about 41%, on a relative measure within five pre-selected documents. That is a proxy and no expected effect on your visibility: a survey of 45 GEO studies (July 2026) found no technique with a stable, longitudinal, cross-platform causal effect on organic discoverability. Keyword stuffing, by contrast, was among the least effective approaches.

Translated to your SEO practice, that means three additions to what you already do:

Classic SEOStill countsAdded for AI
Accessible, fast siteYes, unchangedExplicitly allow AI crawlers
Keyword in title and bodyPartlyEntities and concepts, no repetition
Link building and authorityYesBeing mentioned on sources AI cites
Ranking for the clickYesBeing cited in the answer
Classic SEOAccessible, fast site
Still countsYes, unchanged
Added for AIExplicitly allow AI crawlers
Classic SEOKeyword in title and body
Still countsPartly
Added for AIEntities and concepts, no repetition
Classic SEOLink building and authority
Still countsYes
Added for AIBeing mentioned on sources AI cites
Classic SEORanking for the click
Still countsYes
Added for AIBeing cited in the answer

Concretely, citability is a writing habit, not a technical fix. Open every section with the direct answer to the question in the heading, instead of with a run-up. Back claims with a number and a source, because an AI model takes on a fact with a citation sooner than a loose opinion. And refer to your brand as an entity with a fixed, recognisable name, not as "we" or "our platform". These are small adjustments to text you write anyway, with a direct effect on your chance of being cited.

John Mueller, Google Search Advocate, recommends a level-headed view. In Search Engine Land (January 2026) he said that the label does not matter, that AI is not going away, and that you should look at your actual usage metrics and understand your audience.

The full plan is in how to do GEO, the concrete actions in 8 tips to improve your GEO Score, and how to specifically get into ChatGPT in ChatGPT SEO. Common misconceptions are debunked in 8 GEO myths.

What mistakes do SEO specialists make with SEO for AI?

The biggest mistake is assuming a strong ranking automatically earns an AI mention. It does not: research by Ahrefs (August 2025) across 15,000 long-tail searches found that ChatGPT, Gemini and Copilot each take around 8% of their cited links from Google's top 10, and Perplexity 28.6%; the average in the study is about 12%. So anyone steering on rankings alone misses the biggest part of the AI playing field.

Two other reflexes from classic SEO backfire. The first is keyword stuffing: repeating the exact match that once helped does not count for AI and reads as a spam signal. The second is continuing to measure only in positions. Your rankings can look stable while your AI share quietly slips, simply because you are not tracking it. SEO for AI therefore calls for its own measurement alongside your familiar reporting.

How do you measure SEO for AI?

You measure SEO for AI not in positions, but in mentions. Three metrics replace the ranking as your KPI: mention rate (are you named), share of voice (how do you compare to competitors) and sentiment (how are you named). Because AI answers vary each time and every model cites different sources, you measure repeatedly and across multiple models at once.

In practice you run two reports side by side. Your existing SEO dashboard tracks your rankings and organic traffic, your AI report tracks your mentions and share of voice. If your rankings fall but your AI share rises, you are not losing ground, it is shifting. Without the second measurement you would read that as a loss and draw the wrong conclusion. That measurement is the keystone of SEO for AI: without numbers you steer blind. Veesie gives marketers and agencies a GEO Score, an index over ChatGPT, Perplexity and Google AI Overviews, with Claude and Gemini measured alongside from the Plus plan. The full measurement method is in the KPI guide: how to measure AI visibility, and which models leave your brand on the table is covered in how to appear in AI chatbots. You can set up that second report with a free 7-day trial.

Conclusion: SEO and GEO are one movement

SEO for AI extends the profession you already master. The technical foundation stays, citability gets added, and the unit of measurement shifts from clicks to citations. Anyone who already has their SEO in order stands on the right side of that shift, provided they also start measuring in AI.

Start from a baseline on top of your existing work: know where you stand today in AI answers, and build out from there. Veesie measures your brand's GEO Score for marketers and agencies, so you steer on measurements. To see which sources each plan covers, compare the pricing and features.

SEO for AIAI SEOAI optimisationGEOAI OverviewsAI visibility

Frequently asked questions

Sources and references

  1. Search Engine Land: Danny Sullivan, SEO for AI is still SEO (2025)
  2. Search Engine Land: John Mueller on SEO, GEO and audience behavior (2026)
  3. Ahrefs: AI search and Google ranking overlap study (2025)
  4. Search Engine Journal: Google AI Overview citations from top-ranking pages drop sharply (Ahrefs update, 2026)
  5. Critical survey of Generative Engine Optimization 2023-2026 (arXiv, July 2026)
  6. Ahrefs: Does ranking higher on Google mean you'll get cited in AI Overviews? (2025)
  7. Google: Expanding AI Overviews and introducing AI Mode (2025)
  8. TechCrunch: Google's AI Overviews have 2B monthly users (2025)
  9. Aggarwal et al.: GEO, Generative Engine Optimization (Princeton, IIT Delhi et al., KDD 2024)
  10. Pew Research Center: Google users are less likely to click when an AI summary appears (2025)
  11. SparkToro: In 2026, less than one third of Google searches still send a click (2026)

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