SEO in the AI Era: AI Overviews, GEO, and Generative Search

Search is fragmenting

Google answers more and more queries directly in AI Overviews, while ChatGPT, Perplexity, and Copilot have become independent answer engines. The result: fewer classic clicks — but new, high-quality visibility opportunities. Those who are cited as a source or recommended as a brand in AI answers win trust at the point where decisions are made.

GEO: Generative Engine Optimization

GEO optimizes for appearing in generated answers — as a cited source or a recommended brand. The most important levers:

• Citable content: clear statements, your own data, definitions, and statistics that a language model can safely adopt.
• Structure: precise headings, FAQ sections, structured data — machine readability is citability.
• Brand mentions: LLMs learn from the entire web. Mentions in trade media, directories, forums, and reviews shape what AI "knows" about your brand.
• Consistency: a uniform description of your offering across all channels — contradictory signals dilute the brand image in the model.

What stays, what changes

The good news: AI systems rely on the same foundations as search engines — crawlable websites, clear content, trustworthy brands. Those who do clean SEO have already laid the GEO foundation. What is new is the focus: from "rankings for keywords" toward "presence in answers" — and thus also new metrics like share of voice in AI answers instead of pure click numbers.