Generative Engine Optimisation
How does GEO work?
AI systems extract content in self-contained blocks that must answer a query directly without requiring additional context. Research cited by SEOwithSiva found that Google AI extracts answer blocks of 130–160 words that need to contain both the claim and the supporting evidence to stand alone as a citation. Pages structured with the answer first — question as heading, direct response immediately below — are materially more likely to be cited. Breadth also matters: analysis by Stridec found that only 38% of AI-cited pages rank in the top 10 organic results. The other 62% earn citations through topical depth, entity trust, and multi-format presence. A single FAQ page is not enough — a cluster of interlinked pages on related sub-topics signals the kind of authority AI systems are built to trust.
The answer-first structure
AI systems are built to extract the most direct, self-contained answer to a question. When a user asks ChatGPT or triggers a Google AI Overview, the underlying model scans available content for a block that answers the query completely without requiring surrounding context to make sense. This means the best structure is: question as a heading, direct 130–160 word answer immediately below it, with the key claim and supporting evidence in the same paragraph.
Pages that bury the answer three paragraphs into a section — or that open with "it depends" — are systematically less likely to be cited, regardless of how thorough the rest of the content is. According to research compiled by Contently, answer-first formatting is one of the most reliable structural signals for AI extraction.
Statistics and source citations
The Digital Bloom AI Visibility Report found that adding statistics increased AI citation rates by 22%, and adding quotations from recognised sources raised them by 37%. The mechanism is trust calibration: AI systems are trained to prefer content that cites verifiable, authoritative sources over unsourced assertions. Naming a study, a government body, or a well-known industry organisation — and linking to it — signals to the model that the claim is grounded in real evidence rather than opinion.
This does not mean padding every sentence with footnotes. It means that when you make a specific factual claim — a percentage, a timeframe, a best-practice rule — you name where that claim comes from. One well-placed citation in a 150-word answer block outperforms three vague attributions in a 600-word essay.
Topical breadth and entity trust
Stridec's research on AI citation patterns found that 62% of cited pages do not rank in the top 10 of traditional search results. The implication is significant: AI systems do not exclusively pull from pages that Google has already ranked highly. They recognise topical authority — sites that cover a subject thoroughly across multiple interlinked pages — and treat that breadth as a trust signal independent of traditional ranking.
For a local SEO business, this means a single well-written FAQ is not enough to consistently earn GEO citations on SEO topics. A cluster of interlinked pages — a hub FAQ, deeper articles on sub-topics, and cross-links between them — builds the kind of entity authority that AI systems recognise and cite. Each page in the cluster is an additional entry point for a citation.
GEO for local vs informational queries
GEO is not equally valuable across all query types. For local-transactional searches — "plumber near me," "mold inspection Scranton" — AI Overviews rarely appear. These are won by classic local SEO: proximity, reviews, and a well-optimised Google Business Profile. For informational queries — "how much does SEO cost," "what is a Google Business Profile," "do I need a sitemap" — AI Overviews appear frequently and GEO becomes the primary visibility lever. The practical implication: invest GEO effort in informational content pages, and invest classic local SEO effort in area and service pages.