GEO vs SEO: What's actually different and why it matters now

Search engine optimisation has always been built around one assumption: that a person types a query, sees a list of blue links, and clicks one. That assumption no longer holds for a growing share of searches.

What Generative Engine Optimisation actually means

Generative Engine Optimisation, or GEO, is the practice of structuring content so that AI systems like Google AI Overviews, ChatGPT, and Perplexity can accurately extract, summarise, and cite it. The goal shifts from "rank in the top 10" to "be the source the AI trusts enough to quote."

This is not a replacement for SEO. The two share a foundation: technical accessibility, clear structure, and genuine expertise. But GEO adds requirements that traditional SEO never needed to consider.

The three biggest differences

• Answer-first structure: AI systems favour content that states the answer clearly before explaining it, rather than building up to a conclusion
• Entity clarity: AI systems need unambiguous signals about who is publishing the content and why they are credible on the topic
• Structured data: Schema markup gives AI systems machine-readable confirmation of facts, reducing the risk of misattribution

Should you prioritise GEO over SEO?

No — and any agency telling you to abandon traditional SEO for GEO is selling you something. AI search still represents a fraction of total search volume, and traditional organic traffic remains the larger opportunity for most businesses. The right approach is layering GEO practices on top of strong SEO fundamentals, not replacing one with the other.

How to start

Begin by testing your current visibility: ask ChatGPT, Perplexity, and Google directly about topics central to your business, and see whether your brand appears. If it does not, the gap is usually in structured data, entity signals, or content that buries the answer too deep in the page. Those are fixable problems, not a sign you need to start from scratch.