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Google AI Overview cuts top-link clicks 58%, GEO rises

Our write-up of a story first reported by Habr SEO

Google AI Overview cuts top-link clicks 58%, GEO rises

Search rankings no longer decide traffic

Google AI Overview reduces the chance a user clicks the top result by 58%. People read the model's answer and leave without opening sites. A top-three position no longer guarantees visits.

Referrals from ChatGPT or Claude convert to purchase 4.4 times better than clicks from standard search results. The model has already filtered noise and offered a concrete recommendation. Trust in an AI answer runs higher than trust in ten blue links.

The problem: only 46% of sources cited by AI models overlap with search-engine results. Nearly half the sites referenced by generative models do not appear in Google's top rankings. Traditional SEO now covers only part of the task.

What GEO is

Generative Engine Optimization means promoting a brand or product inside the answers produced by AI models. The goal is not ranking first in search but getting the model to mention you when a user asks a question.

GEO works differently than SEO. A search engine ranks pages by keywords, links and behavioural signals. A generative model synthesises an answer from many sources, some of which search engines do not index at all. It draws on structured data, mentions in specialist communities, technical documentation, open APIs.

If you are absent from a model's training data and from the sources it uses to generate answers, you do not exist for the user asking ChatGPT which service to choose.

Where models get their information

Models train on data up to a fixed date, but they form current answers through real-time search. GPT uses Bing, Claude can query web sources, Perplexity builds answers from indexed pages.

Sites are not the only input. Models pull data from GitHub and technical repositories — documentation, integration examples, SDKs. From Reddit, Hacker News, Stack Overflow — discussions, product comparisons, case studies. From sector databases — SaaS catalogues, rankings, affiliate-programme aggregators. From official APIs and structured data — schema.org markup, Open Graph, JSON-LD.

If your product is discussed on specialist forums, if public documentation and usage examples exist, the chance of appearing in an AI answer grows.

How to get into recommendations

Create structured content. Models parse lists, tables, FAQs more easily. Write so the model can extract a fact in one sentence. Long commentary without specifics gets ignored.

Place information in open sources. Closed knowledge bases, paywalled content, PDF brochures — none of this is indexable. Publish case studies, guides, comparisons on open platforms. One article on Habr or Medium beats ten posts in a private Telegram channel.

Join discussions. Comments on Reddit, answers on Stack Overflow, breakdowns on industry forums — these are sources AI considers when forming an opinion about a product. One detailed answer with a code sample can outperform paid advertising.

Use schema.org and Open Graph. Markup helps models understand what your product does, which categories it serves, which problems it solves. Specify business type, prices, geography, integrations.

Publish technical documentation. If you offer an API, SDK or plugins, post examples, tutorials, specifications. Models often recommend tools for which ready code and clear documentation exist.

How GEO differs from SEO

SEO optimises a page for a search algorithm. GEO optimises mentions for the logic of a generative model.

SEO cares about keyword density, internal linking, load speed. GEO cares about mention context, source authority, data structure.

SEO works on one site. GEO demands presence across an ecosystem: forums, repositories, industry catalogues.

SEO can be measured by rank. GEO is harder to track: you must check whether the model mentions your brand in answers to target queries. That means regularly testing prompts and monitoring which competitors appear in recommendations.

What to do now

Check whether models mention you. Ask ChatGPT, Claude or Perplexity questions your product should answer. If you are absent, start building presence in sources AI indexes.

Publish a case study or guide on an open platform. Post technical documentation on GitHub. Answer a few questions on specialist forums.

Add markup to your site. Schema.org, Open Graph, JSON-LD — the minimum that helps models understand what you do.

GEO does not replace SEO, but ignoring it is no longer an option. Traffic is shifting toward AI assistants, and if your brand is missing there, you lose the audience.

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