GEO Consulting: Get Cited by ChatGPT, Perplexity & AI Overviews

Generative Engine Optimisation (GEO) is the practice of structuring your content so AI systems reference and cite you. As AI-powered search captures a growing share of queries, GEO is no longer optional — it's the next layer of search strategy.

What GEO Consulting Includes

Why Generative Engine Optimisation Matters in 2026

The search landscape is changing faster than most businesses realise. AI search now accounts for a growing share of queries that previously went to traditional search results — and AI systems like ChatGPT, Perplexity, and Google AI Overviews do not rank pages. They cite them.

This distinction matters. Large language models and AI crawlers use information retrieval logic that is fundamentally different from Google's traditional algorithm. Backlinks and keyword density are weak signals for AI citation. What counts is entity authority, structured content, factual specificity, and the kind of authoritative sources that appear consistently across multiple credible contexts.

Zero-click search has existed since Google introduced featured snippets, but the rise of generative AI has made it the dominant format. Training data and real-time retrieval both favour content that is dense, specific, and clearly attributed to a recognised entity. Citation signals for AI systems include consistent entity mentions across the web, structured definitions and direct answers, schema-marked content, and a pattern of being referenced by other authoritative sources.

Brands that build these signals now are doing for AI search what early SEOs did for Google in 2005 — establishing presence in a channel before most competitors even know the rules have changed.

GEO vs SEO: What Changes and What Stays the Same

What Actually Makes a Page Get Cited by ChatGPT or Perplexity

AI systems select sources based on extractable quality signals that differ from traditional ranking factors. Answer-first structure — putting the direct response to a question in the opening sentence — makes it significantly easier for AI models to extract and cite your content. Pages that bury the answer beneath a long preamble are passed over regardless of how authoritative the domain is.

Entity mentions throughout the page build the topical depth that AI systems use to classify a source as authoritative on a given subject. Authoritative attribution — statistics with named sources, expert quotes, and factual specificity — signals the kind of reliability that AI models prioritise when selecting citations. Schema markup helps AI crawlers classify your content correctly; FAQ schema, Article schema, and Person schema all contribute to citation eligibility.

llms.txt signals provide a direct interface for AI systems to understand your site's content structure and preferred citation format. This work overlaps significantly with both AEO consulting and SEO consulting services — the same content structure that wins featured snippets also wins AI citations.

Frequently Asked Questions