What is GEO? Generative engine optimisation explained
Generative engine optimisation is the emerging practice of getting a brand mentioned and cited inside the answers that generative AI tools produce. As people ask ChatGPT, Claude, Perplexity, or Gemini instead of a search box, being present in those answers becomes its own channel.
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A new surface for visibility
When someone asks a generative assistant a question, it composes an answer rather than returning a list of links. GEO is the work of influencing whether your brand appears in that composed answer — as a recommendation, an example, or a cited source.
This surface behaves differently from a search results page. There is often no ranked list to climb; instead the model synthesises from what it has learned and, increasingly, from sources it retrieves live. Visibility means being part of what it draws on.
How generative engines choose sources
Generative answers come from two places: what the model absorbed during training, and what it retrieves at query time from the live web. To influence the first you need to be broadly present and consistently described across the web; to influence the second you need to be a retrievable, trusted source on the topic.
Because you cannot inspect a model’s training directly, GEO leans on the same durable foundations — clear, factual, well-structured content and a consistent brand description everywhere — that also make you a good live-retrieval source. There is no shortcut that substitutes for genuinely being an authority.
Why consistency and clarity matter more
Generative engines reward being described the same way everywhere. If a brand’s name, category, and claims are consistent across its site, profiles, and third-party mentions, a model is more likely to represent it correctly. Contradictory descriptions produce vague or wrong mentions.
Clarity compounds this. Content that states facts plainly, attributes them, and avoids hype is easier for a model to use faithfully. GEO, in practice, is less about tricking a model and more about being unambiguously and consistently what you claim to be.
Where Kirti fits
Kirti is being built to treat generative visibility as one of its six surfaces — keeping a brand’s description consistent across the web, drafting content that models can cite faithfully, and tracking whether the brand shows up in AI answers. Its per-customer data sits on an encrypted substrate, isolated by architecture, never sold.
The agent is still in active development and not yet generally available; GEO itself is young, so treat this as a plain account of a fast-moving area rather than settled doctrine.