What is Generative Engine Optimization?
Generative Engine Optimization (GEO) is the practice of measuring and improving how AI assistants describe, cite, and recommend your brand. Unlike traditional SEO, which optimizes for a ranked list of blue links, GEO optimizes for the synthesized answer an AI gives directly to the buyer. Kuroma is one of the few AI brand intelligence platforms that scans 7 leading AI engines, verifies every claim against the live web, and benchmarks you across 142 markets: a web-grounded view of your AI reputation.
How is GEO different from SEO?
| Dimension | Traditional SEO | GEO with Kuroma |
|---|---|---|
| Surface | Ranked list of links on a results page | A single synthesized answer across 7 AI engines |
| Primary signal | Backlinks and keyword relevance | How accurately AI represents your verified brand facts |
| Main risk | Ranking lower than a competitor | AI hallucinating wrong pricing, features, or facts about you |
| How you measure it | Keyword rank and organic clicks | Mention share, citation influence, and an AI Readiness score |
How does Kuroma measure your AI visibility?
- Scan We query ChatGPT, Perplexity, Gemini, Claude, Grok, and Google AI with synthetic buyer personas to capture exactly how AI talks about your brand.
- Verify Our grounding layer cross-references every AI claim against real web sources, so you know which statements are accurate and which are hallucinated.
- Benchmark We compare your mention share and AI Readiness score against competitors across 142 markets and 51 industries, so you can see where you stand instead of guessing.
- Improve You get a prioritized list of fixes (content gaps, schema, and trust signals) that measurably raise how AI recommends you.
What does this look like in practice?
The takeaway: what AI says about you changes constantly. A first scan can surface, for example, an AI engine quoting an outdated price or a discontinued plan, the kind of error this method is designed to catch. Correcting the underlying source pages and your Brand Facts gives the AI engines accurate information to cite, which is exactly why continuous, web-grounded monitoring matters.
When Google shows an AI Overview, users click a traditional result only 8% of the time, versus 15% when there is no AI answer (Pew Research Center, 2025). As buyers increasingly read the AI answer instead of clicking through, measuring what AI actually says about your brand matters more than ever.