ai-search

Share of Answers

Share of Answers is an AI-search concept describing how brands, sources, and topics appear inside large language models such as ChatGPT, Perplexity, Gemini, and Claude.

What is Share of Answers?

Share of Answers refers to a measurable dimension of how a brand shows up in AI-generated answers. Unlike classic SEO rankings on a results page, Share of Answers describes signals captured directly from large language model responses — including whether the brand is named, how it is described, which sources support the answer, and how it compares to competitors in the same buyer questions.

Why it matters for AI search

Buyers increasingly start their research inside AI assistants. Share of Answers matters because it determines whether your brand is part of the recommended set when an AI assistant answers a buyer question. Brands that ignore Share of Answers lose share of recommendation, citation, and trust in markets where the AI answer is now the first impression.

How Findable approaches this concept

Findable measures Share of Answers by running real buyer prompts across multiple AI models on a recurring schedule. The platform captures every mention, citation, recommendation, and source, then aggregates them into the Visibility, Citation, and Recommendation scores so teams can see exactly where they appear, where competitors win, and which prompts are still open.

Example

If a buyer asks ChatGPT "best CRM for a small healthcare clinic", the answer typically names 3–5 brands, links 2–6 sources, and recommends a top pick. Share of Answers captures the position of your brand inside that answer, how often it appears across thousands of similar prompts, and which competitors take the recommendation when you do not.

How Share of Answers connects in the knowledge graph

Where you see this in Findable

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Frequently asked questions

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