Search has always rewarded those who spotted the shift before everyone else. The move from directories to PageRank, from keyword stuffing to semantic relevance, from desktop to mobile-first indexing. Each time, the specialists who adapted early pulled ahead. The current change is no different, except that this one’s pretty fast, and the gap between early movers and late ones is widening by the month.
Generative Engine Optimisation, GEO, is the discipline that’s emerged in response to AI-powered search. It’s specific, it’s measurable, and the agencies ignoring it are already losing ground they don’t yet know they’ve lost.
The Problem With Ranking First When Nobody Scrolls
Here’s what’s changed. Google’s AI Overviews now sit above the organic results on a growing proportion of informational searches. Perplexity creates answers without sending users anywhere. ChatGPT responds to queries by pulling from sources it deems credible, often without the user ever visiting those sources directly.
A page can hold the first organic position for a competitive keyword and still see traffic fall, because the user got their answer before they reached the listing. First place used to mean first contact. It no longer does.
What GEO Requires That SEO Alone Doesn’t
Any SEO Marketing Agency in London operating across competitive sectors has had to reckon with a fundamental question: what makes AI models choose one source over another?
AI systems prefer content structured around clear, self-contained answers. A paragraph that has a mid-sentence identity crisis and drifts away from the point doesn’t get selected. A paragraph that opens with a precise, well-supported claim does. The writing should do less scene-setting and more answering, and it should do so consistently across the page, not just in the introduction.
GEO content writers are not novelists. Flowery prose, while poetic and beatific, is not specific. AI wants specificity because this is what answers a query, not a double-compound sentence with six adjectives and three semi-colons.
Named sources, dated statistics, and concrete examples. These aren’t just good journalism practices. They’re signals that AI models use to assess whether content is worth the excavation. A vague claim supported by nothing loses to a specific claim with a source, even if the vague claim ranks higher organically.
Domain Depth Over Domain Breadth
One of the more interesting patterns to emerge from GEO research is how AI models appear to favour depth over breadth. A domain that covers a single subject comprehensively tends to outperform a broader domain covering the same subject in passing, even where the broader domain has the stronger backlink profile.
This has real implications for content strategy. The instinct to cover everything, to build out a blog that touches every possible keyword in a space, produces diminishing returns in a GEO context. A tighter content architecture, one that builds genuine topical authority in a defined area, performs better.
For agencies, this means conversations with clients about content strategy are shifting. The question isn’t how much content to produce. It’s whether the content that exists is doing enough to establish the domain as a credible, coherent source on the topics that matter.
Re-Opt Your Existing Content
The practical reality is that most websites already have substantial content libraries. Rebuilding from scratch isn’t the answer. Retrofitting is.
Pages that already perform well organically are often close to GEO-ready. The structure needs tightening, the headers need rewriting to focus on query-based intent, and the factual claims need sharper sourcing. These aren’t wholesale rewrites.
They’re targeted edits that make good content more extractable without stripping out what made it rank in the first place.
The Metrics Are Changing Too
Organic traffic remains the most tangible measure of SEO performance. But it’s no longer the complete picture. As AI-generated responses intercept more searches, the conversation around what counts as success has to expand.
Brand mentions in AI-generated answers, share of voice across AI tools, and citation frequency on platforms like Perplexity and ChatGPT. These are emerging as meaningful performance indicators. The infrastructure for measuring them is still catching up. Still, the specialists who are tracking them now are building an understanding of their GEO performance that others won’t have when measurement becomes standard.
Where Traditional SEO Fits Into All of This
GEO doesn’t displace SEO. A technically broken website doesn’t get cited by AI models any more than it ranks in organic search. Domain authority still matters. Page speed still matters: Crawlability, internal linking, mobile performance. The foundations are still foundational.
What GEO adds is a strategy of applied intent. The same technical practices, applied to content structured around clear answers and supported by credible sourcing, now serve two purposes simultaneously. It performs well in traditional search and in AI-generated responses.