The Direct Answer

SEO (Search Engine Optimisation) is the practice of earning organic visibility in traditional search engine results, primarily Google. GEO (Generative Engine Optimisation) is the practice of structuring content so AI assistants and generative search engines, ChatGPT, Gemini, Perplexity, Google's AI Overviews, can accurately find, understand and cite a business when answering a relevant question. They share a foundation but solve different problems, and most businesses now need both.

Defining SEO and GEO

SEO targets a search engine's ranking algorithm, aiming to place a page as high as possible in a results list a human then scans and clicks through. Success is measured in rankings, organic traffic and, ultimately, conversions from that traffic.

GEO targets a language model's synthesis process. Instead of a ranked list, the user receives a single generated answer that may cite, quote or recommend a small number of sources, or none at all if nothing available is clear and trustworthy enough to cite confidently. Success is measured by whether, and how accurately, a business is represented in that generated answer.

Side-by-Side Comparison

FactorSEOGEO
Output formatRanked list of linksSingle synthesised answer, sometimes with citations
Primary content needKeyword-relevant, authoritative pagesClear, direct, factually consistent answer-first content
Key signalsBacklinks, on-page optimisation, Core Web VitalsEntity consistency, structured data, content clarity
MeasurementRankings, organic traffic (Search Console, rank trackers)Manual query testing against major AI assistants
MaturityDecades of established practice and toolingEmerging, no long-term measurement history yet

Why Most Businesses Need Both

GEO doesn't replace SEO. It depends on it. AI systems draw heavily on well-structured, authoritative web content when generating answers, and a large share of that content is exactly what strong SEO practice already produces: clear, well-organised, technically sound pages. A business with no organic search presence at all typically has little chance of AI-search visibility either, because there's nothing substantial for the model to find and cite in the first place.

What GEO adds on top is a specific discipline: structuring that same content so it's easy for a model to extract confidently, answer-first paragraphs, consistent factual details across every source (your website, your Google profile, your social bios), and structured data that removes ambiguity about what your business does and where.

Getting Started With GEO

  1. Audit entity consistency. Check that your business name, services and location are stated identically across your website, Google Business Profile and social profiles.
  2. Rewrite key pages answer-first. Lead with a direct, quotable answer to the likely question before adding supporting detail.
  3. Add structured data. Implement schema.org markup so machines, not just humans, can parse what a page means.
  4. Test manually. Ask major AI assistants realistic questions a customer might ask, and see whether, and how accurately, your business appears.

Our GEO & AI Search Optimisation service covers this process in full detail, and our SEO service covers the foundational layer GEO builds on.

FAQs

Can a technique or file guarantee my business appears in an AI assistant's answer?
No. No file, plugin or technique can guarantee inclusion in any AI system's generated answers, since these systems synthesise responses dynamically and don't publish ranking factors the way search engines historically have. Sound structural practice improves the odds; nothing guarantees the outcome.
Should a small business worry about GEO yet?
It depends on the category, considered purchases and professional services, where research precedes buying, are already seeing meaningful AI-assisted research. Simpler, impulse-driven local purchases are less affected today, though that's likely to shift.
What is llms.txt and do I need one?
It's a proposed, experimental text file offering AI crawlers a summary of a site's content and structure. It's not an established or required standard, we treat it as a low-cost experimental addition, not a guaranteed visibility lever.