What Is GEO?
Generative Engine Optimisation (GEO) is the practice of shaping your content, structure and reputation so that generative AI engines reference your brand when they answer questions. Where traditional search returns a list of links, generative engines such as ChatGPT, Google AI Overviews, Perplexity and Microsoft Copilot synthesise a single answer and cite a handful of sources. GEO is about being one of those cited sources.
The goal is visibility inside the answer itself. When someone asks an AI engine which agency to use or how a particular service works, GEO increases the chance that your business is named, summarised accurately and linked. This matters because a growing share of research now happens inside AI tools, where only a few sources are surfaced rather than ten blue links.
Importantly, GEO is not a replacement for search optimisation. It builds directly on solid SEO. AI engines draw heavily on the same web content they crawl and rank, so pages that are already authoritative, well-structured and trusted are far more likely to be pulled into a generated answer.
Why GEO Matters
GEO matters because buyer behaviour is shifting. People increasingly ask an AI assistant for a recommendation rather than scrolling through results, and if your brand is absent from those answers, you lose the opportunity before a click ever happens. Being cited by a trusted AI engine also lends credibility, since the engine is effectively vouching for your content.
There is a first-mover advantage too. Many South African businesses have not yet adapted to generative search, so brands that invest early can establish themselves as the go-to cited source in their niche. This is the core of our AI search optimisation service, which sits alongside our SEO work in South Africa.
How to Improve Your GEO
Start with strong fundamentals. Publish clear, factual, answer-first content that directly addresses the questions your audience asks, and structure it with descriptive headings and concise summaries that an engine can lift cleanly. Add schema markup so AI tools can read your facts in a machine-readable form, and keep your business information consistent across the web.
Build authority and reputation signals through quality content, citations, reviews and mentions on credible sites, since engines weigh trust heavily when choosing what to cite. Finally, make sure AI crawlers can reach your pages and that your content is genuinely accurate, because generative engines favour sources they can rely on.
GEO is a long game that rewards consistency. To go deeper, read our guides on generative engine optimisation and answer engine optimisation.
How is GEO different from SEO?
Generative engine optimisation (GEO) is the practice of structuring content so that generative AI systems, such as Google AI Overviews, ChatGPT, Perplexity and Claude, represent and cite your brand accurately. It overlaps heavily with SEO but shifts emphasis: where classic SEO optimises to rank a link, GEO optimises to be quoted inside an answer. In practice that means self-contained passages an AI can lift without ambiguity, clear definitions, specific figures with sources, and consistent entity information across the web so the model resolves who you are correctly. GEO does not replace SEO; it builds on an indexed, crawlable site.
What actually improves GEO?
The highest-leverage GEO investments are entity consistency across Knowledge Graph, Wikidata and reputable directories; citation-worthy content with concrete statistics and named sources; and answer-first formatting with question-shaped headings. Google has publicly confirmed that appearing in its AI features does not require a special file such as llms.txt or any AI-specific schema; eligibility is standard indexing plus snippet-eligibility. So GEO is less about new technical tricks and more about being demonstrably accurate, quotable and well-corroborated, which is why it takes months of consistent work rather than a one-off change.
FAQ
What is the difference between GEO and SEO?
SEO aims to rank pages in traditional search results, while GEO aims to get your brand cited inside the answers generated by AI engines. GEO builds on solid SEO rather than replacing it.
How do you get cited by AI engines?
You earn AI citations by publishing clear, factual, well-structured content, adding schema markup, building authority and reputation signals, and making sure AI crawlers can access your pages.
Do I need an llms.txt file for AI search?
No. Google has confirmed you do not need llms.txt, AI-specific markup or Markdown files to appear in its generative AI features; a page needs only to be indexed and eligible for a snippet. Other AI engines currently take the same position. An llms.txt file is harmless but not a ranking lever.
How is GEO measured?
By testing how AI platforms answer your target questions: is your brand cited with a link, mentioned without one, absent, or misrepresented? Tracking these outcomes over time across AI Overviews, AI Mode, ChatGPT, Perplexity and Claude shows whether your visibility is improving.