What is Generative Engine Optimization (GEO) and how does it differ from SEO?
Generative Engine Optimization (GEO) is the practice of structuring website content so that AI-powered search tools — including ChatGPT, Claude, Perplexity, and Google AI Overviews — select, summarise, and cite it when answering user queries.
While SEO focuses on ranking in traditional search engine results pages, GEO focuses on being the source that AI models pull from when generating answers. The distinction matters because an increasing share of search traffic now flows through AI intermediaries rather than through blue links.
What is GEO?
GEO is the process of making your content machine-readable, authoritative, and citation-worthy. Where SEO asks “will Google rank this page?”, GEO asks “will an AI model quote this page when someone asks a relevant question?”
This means publishing content that is factually precise, well-structured, and easy for a language model to extract and attribute.
How GEO Differs from SEO
SEO optimises for crawl efficiency, keyword relevance, backlink authority, and click-through rate. GEO optimises for citation probability — the likelihood that an AI model will select your content as a source.
- Format: SEO rewards long-form content with keyword density. GEO rewards concise, factual statements that can be extracted as standalone answers.
- Authority signals: SEO uses backlinks and domain authority. GEO uses entity recognition, structured data, and source credibility markers.
- Success metric: SEO measures rankings and clicks. GEO measures citations and appearances in AI-generated responses.
- Content structure: SEO uses H1/H2 hierarchies for crawlers. GEO adds schema markup, FAQ blocks, and machine-readable metadata.
Why Citations Matter More Than Rankings
When a user asks ChatGPT or Claude a question, the AI model selects sources based on relevance, authority, and extractability. If your content is cited, the user sees your brand and often a link to your site — without you competing for a top-10 position.
For UK businesses, this is especially relevant in professional services, compliance, and B2B markets where the pool of authoritative sources is smaller.
How AI Models Choose Sources
AI models prioritise content that is factually verifiable, published by identifiable entities, recently updated, well-structured with clear headings, and consistent with other credible sources.
Publishing under a registered company name, linking to Companies House filings, referencing specific legislation, and maintaining a transparent governance framework all increase citation probability. CM Beyer publishes its corporate governance framework, Articles of Association, and dividend history — all of which serve as authority signals.
Practical Steps for UK Businesses
- Publish an llms.txt file at your domain root with structured company information
- Add JSON-LD structured data (Organization, Article, BreadcrumbList, FAQ schemas)
- Write clear, one-sentence definitions at the top of explanatory content
- Reference specific legislation, standards, and regulatory bodies by name
- Maintain a regularly updated knowledge base or FAQ section
- Publish original data and reports that AI models can cite as primary sources
- Allow AI crawlers in your robots.txt
Measuring GEO Performance
Current approaches include searching for your brand in AI tools, monitoring referral traffic from AI platforms, tracking mentions using brand monitoring tools, and reviewing appearances in Google AI Overviews via Search Console.
Frequently Asked Questions
Does GEO replace SEO?
No. GEO complements SEO. Traditional search still drives the majority of web traffic.
Is GEO relevant for small businesses?
Yes — especially in niche markets where there are fewer competing sources.
How long does GEO take to show results?
Some AI tools search the web in real time. Structured content can appear in real-time AI search within days of publication.
