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GEO8 min read

SEO vs GEO: Optimising for AI Search Engines

By Aoife Byrne · 30 May 2026

SEO vs GEO: Optimising for AI Search Engines

As customers increasingly ask AI assistants for recommendations, Generative Engine Optimisation is becoming essential. Here's what's changing.

For two decades, SEO meant optimising to rank on a page of blue links. But search behaviour is shifting fast. More people are asking AI assistants direct questions and acting on a single recommended answer, and that changes the game entirely.

Generative Engine Optimisation (GEO) is the practice of making your business the answer AI models surface when someone asks about your industry. Instead of competing for position one, you are competing to be cited, quoted, and recommended inside generated responses.

The good news is that strong SEO fundamentals still matter. Authoritative, well-structured content, clear entity information, and a trustworthy web presence all feed the models. GEO builds on top of, rather than replaces, good SEO.

What is new is the emphasis on clarity and structure. AI systems favour content that answers questions directly, uses clean formatting, and states facts unambiguously. Vague, keyword-stuffed copy performs poorly with these models.

The businesses that win in the next few years will treat GEO and SEO as complementary. Keep ranking on traditional search, but also make sure that when an AI assistant is asked to recommend a provider in your space, your name is the one it knows.

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