GET CITED

BY AI

SEARCH.

More searches are being answered by AI without a click. If AI doesn't know your business, you don't exist in those results.

What you receive

Generative Engine Optimization is the practice of making your business easy for AI systems, such as ChatGPT, Gemini, Claude, Perplexity and Google's AI Overviews, to find, understand and cite correctly when someone asks a related question. It covers entity clarity (making sure the facts about your business are consistent everywhere an AI might read them), content structure (writing in a way that's easy to extract and quote) and crawler access (confirming AI bots can actually reach your pages).

SEO optimises for a ranked list of blue links on a results page. GEO optimises for being pulled into a generated answer, often with no click required. The mechanics differ: ranking algorithms weigh backlinks and keyword relevance heavily, while generative retrieval weighs entity consistency, passage-level clarity and whether a source can be quoted without ambiguity. The two overlap (both reward genuinely useful, well-structured content) but the specific signals you optimise for are not identical.

A meaningful share of informational and comparison searches now get answered directly inside the AI interface, with the user never reaching a results page or a website. If your entity data is inconsistent or your content isn't structured for extraction, you simply don't exist in that answer, no matter how strong your traditional rankings are. The businesses building citation-readiness now are the ones these systems will keep defaulting to as their retrieval patterns stabilise.

We work across ChatGPT, Google's AI Overviews, Gemini, Claude and Perplexity, since each draws on different underlying data (Bing's index, Google's knowledge graph, live web crawls, or a mix) and has its own citation behaviour. We test and monitor per engine rather than treating 'AI search' as one undifferentiated channel, because a fix that helps in one system can be invisible to another.

No agency can guarantee how a language model will generate a specific answer on a specific day, since these systems are non-deterministic and their retrieval logic changes without public notice. What we can do is strengthen the concrete signals, entity consistency, extractable content structure, verified schema and confirmed crawler access, that materially raise the odds your business is the one these systems reach for.

Yes. Traditional search still sends substantial traffic, and many of the technical foundations, crawlability, page speed, clean site structure, underpin both disciplines. GEO adds an additional layer on top: entity consistency and passage-level extractability that SEO alone doesn't address. We typically run them together rather than treating GEO as a replacement.

We re-run a fixed set of real buyer questions against each AI engine on a recurring basis and track three things: whether you're mentioned at all, whether you're cited with a link, and which competitors appear instead. We report the trend across repeated queries, since any single AI response can vary, alongside the underlying entity and schema fixes driving the change.

The mechanics are similar but the content types differ. Service businesses tend to get cited for definitional and comparison questions ('what does X cost,' 'how does X work'), so we prioritise clear process and pricing explanations. E-commerce sites are more often cited for product-comparison and specification questions, so structured product data and accurate, current specs matter more than narrative content.