What does GEO mean?
GEO stands for Generative Engine Optimization: optimising content so AI search engines (ChatGPT, Google AI Overviews, Perplexity, Gemini) cite your brand in their answers.
Where traditional SEO targets a click from search results, GEO targets a mention inside the AI answer itself. The user no longer needs to click, your brand comes up in the conversation.
It comes down to how AI models select sources. They choose content that is clearly structured, answers the question directly in the first paragraph, and is anchored in authoritative external references. A page that scores well technically in SEO is not automatically picked up by GEO, the writing style also needs to match how AI summarises information.
Why does GEO matter?
More and more searches are answered before the click. Brands not found by AI engines disappear from consideration, even when they rank in classic Google.
GEO builds on SEO but adds entity relationships, citations, structured data and authority signals that AI models can recognise.
Research shows that search results featuring an AI Overview generate 20–40% fewer organic clicks for the underlying results. Not appearing in the AI answer means less visibility and concretely less traffic, even if you hold position 1 in classic results.
How do you do GEO in practice?
Clear answers in the first paragraph, FAQ blocks with direct Q&A, Schema.org markup (FAQPage, Article, Organization), an llms.txt file, and consistent mentions in trusted sources, those are the building blocks.
Add source references to your content (cite statistics with their origin), build external mentions on sector-related websites, and keep your entity data consistent: the same company name, address, description and expertise claims everywhere your brand is mentioned. That consistent picture is what AI models use to decide whether to cite you.
Real-world example
A heating installer in Tilburg publishes a page about 'heat pump installation costs'. Before GEO optimisation: the page ranks at position 4 in Google but does not appear in AI Overviews. After optimisation. FAQ block at the top, FAQPage schema, references to authoritative sources. Google AI Overview cites the page in 35% of all heat pump searches in the region. Direct visit numbers drop slightly (fewer clicks through the AI answer), but enquiries rise by 18% because the company is cited as an expert before the click.
How to measure GEO performance
There is no ready-made tool that tracks AI impressions the way Google Search Console does for organic results. A workable method: manually search your 10–20 most important queries in ChatGPT, Perplexity and Google AI Overviews each month and note whether your brand is cited.
Google Search Console gives indirect insight: if your organic CTR falls while impressions stay stable, that points to AI Overviews intercepting clicks. Tools like Semrush and Ahrefs are building dedicated GEO tracking features, check their changelogs regularly.
Common mistakes
Long introductions: AI models prefer to pull the answer from the first 2–3 sentences. Start directly with the key message.
No external source references: content without citations looks less authoritative to AI models, even when the information is correct.
Inconsistent entity data: your company name on LinkedIn differs from Google Business Profile and your website. AI models weigh this negatively.
Chasing GEO while dropping SEO: the two systems reinforce each other. Building authority for SEO simultaneously increases your chance of GEO inclusion.
Related terms
SEO (Search Engine Optimization) is the foundation GEO builds on, without technical health and authority there is no GEO inclusion.
Schema Markup is the structured-data layer that helps AI models understand and categorise your content.
E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness) are the quality criteria Google, and AI engines, use to weigh sources. High E-E-A-T is a prerequisite for consistent GEO inclusion.
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