AI SEARCH FAQ

Answers about AI Search and visibility.

Plain-language answers to the questions we hear most often about AI Search optimization, answer engines, LLM visibility, and how Kumu measures it.

Common questions

What organizations ask about AI Search.

What is AI Search optimization?
AI Search optimization is the work of making an organization easier for search engines and AI answer systems to find, understand, verify, cite, and recommend.
What is answer engine optimization?
Answer engine optimization focuses on improving how an organization appears in systems that synthesize answers instead of only listing links. These systems include ChatGPT, Claude, Gemini, Copilot, Perplexity, and Google AI Overviews.
What is generative engine optimization?
Generative engine optimization is another term for improving visibility in generative AI systems. Kumu treats it as part of AI Search optimization.
What is LLM visibility?
LLM visibility is the degree to which large language models can recognize, retrieve, summarize, and accurately describe an organization.
Can Kumu guarantee that an AI system will cite a company?
No. No agency can guarantee inclusion in a specific AI answer. Kumu improves the evidence, structure, clarity, and third-party signals that make inclusion more likely.
What does Kumu test?
Kumu tests owned website signals, search visibility, AI-answer behavior, third-party verification, structured data, page-level evidence, crawlability, channel presence, and user action pathways.
What is the Kumu Brand & Signal Benchmark?
The Kumu Brand & Signal Benchmark is an evidence-led assessment that measures Brand Integrity and Signal Architecture side by side.
What is the difference between SEO and AI Search optimization?
SEO helps pages appear in search results. AI Search optimization also helps answer systems understand what an organization is, why it is credible, what it offers, and whether it should be cited or recommended.
What is llms.txt?
llms.txt is an emerging way to give AI systems a concise map of important pages and context. Kumu treats it as an emerging signal, not a pass/fail requirement.