The marketing around Generative Engine Optimisation has created the impression that it’s a separate discipline from SEO — a new set of tactics, a separate team, a distinct content strategy. That framing is largely unhelpful and occasionally actively misleading. Understanding why requires looking at what actually determines whether your content gets cited in AI-generated answers.
What GEO and SEO Have in Common
The fundamental driver of both organic ranking and AI citation is the same: producing content that is demonstrably more useful, accurate, and authoritative than the alternatives.
Google ranks pages that best satisfy search intent, as assessed through a combination of relevance signals, authority signals, and engagement signals. AI systems — including Google’s own AI Mode — cite pages that contain information worth surfacing, as assessed through a combination of authority signals (is this a trustworthy source?), relevance signals (does this page contain what the query needs?), and extractability (can the system pull the useful information from this page efficiently?).
The overlapping set of requirements is almost complete. A page that ranks in the top three organically for a query is heavily likely to be cited in an AI answer to the same query. The correlation is not perfect, but it’s strong enough that “build a separate GEO strategy” is poor advice for most sites. “Build a better SEO strategy, with attention to the content formatting factors that affect AI extractability” is more useful.
Where They Diverge
There are genuine differences in what GEO requires that SEO doesn’t emphasise as strongly:
Structured, extractable formats. AI systems process content differently from human readers. A page with clear headers, explicit question-and-answer structures, and well-delineated sections is more easily synthesised by an AI than a page with flowing narrative prose. This doesn’t mean abandoning editorial quality — it means writing with both audiences in mind.
Direct answers early. AI systems extract the most useful section of a page for a given query. If the direct answer to the query is in paragraph seven, after five paragraphs of context-setting, an AI may not surface that answer as prominently as a page that leads with it. The SEO equivalent is that Google shows the featured snippet from the page that most clearly answers the query, and that answer is usually in the first few paragraphs. The underlying principle is the same.
Freshness signals matter more. For current topics, AI systems weight recency more explicitly than the Google organic algorithm does for most evergreen queries. Content with recent publication or update dates is favoured for queries where currency matters. This reinforces the SEO practice of updating high-performing evergreen content with fresh data — now with an additional GEO justification.
Named sources and cited data. AI systems are more confident citing content that itself cites named sources. Stating “a 2025 Semrush study found that…” is more likely to generate AI citation than stating “research shows that…”. This is good epistemic practice independent of GEO considerations.
The Unified Approach
Rather than running parallel SEO and GEO programmes, the practical approach is to build GEO requirements into the content production process.
For new content: lead with the direct answer, use explicit question-and-answer formatting where the query is question-based, cite named data sources, include the publication date prominently, and keep the content current. These requirements add minimal overhead to a well-run content process.
For existing content: identify the pages currently receiving AI citations (this is visible in Search Console for AI Overviews) and audit whether they meet the formatting and recency criteria. Identify the pages closest to citation that don’t currently receive it and assess what structural changes would make them more extractable.
For the link building and authority work that underpins both: there is no GEO-specific authority strategy. Domain authority, topical authority, and E-E-A-T signals apply equally to organic ranking and AI citation. The sites that are authoritative in their topic area get cited. The path to authority is the same regardless of whether the destination is a blue link or an AI citation.
The honest framing: GEO is a useful concept for expanding the metrics you measure (citation rate, AI visibility) and for identifying content formatting factors that affect extractability. It’s not a reason to split your content strategy or your team. The sites that will do best in AI search over the next three to five years are the ones building genuine authority in a defined topic area — which is the same thing that produced compounding organic growth in traditional search. The medium is changing. The underlying work hasn’t.