An answers matrix lays out AI visibility results as a table: buyer questions in one direction, AI platforms in the other. Each cell shows what that platform said in answer to that question, whether your brand was mentioned, recommended or cited, and which sources the answer relied on.
The matrix makes patterns visible at a glance, such as a platform that never cites you, or a group of questions where a competitor is always recommended.
Summary scores hide where visibility actually comes from. The matrix shows which specific questions and platforms are working and which are not, so effort goes to the real gaps.
VisibilityKit Intelligence puts every buyer question and every engine in one grid, with the gatekeeper source map behind each answer. You can open any cell to read the raw answer.
The platform's answer to that buyer question, whether your brand was mentioned, recommended or cited, and the sources the answer cited.
Different AI platforms rely on different sources and often give different answers to the same question. Seeing them together shows where a gap is platform-specific.
A question a real buyer would ask an AI assistant when researching a category, used to measure how AI answers treat your brand.
The preserved raw AI answer and cited sources behind a visibility result, kept so any number can be checked.
A page or publication that AI assistants repeatedly cite when answering questions in your category, effectively controlling which brands appear.
The AI-generated search results page that includes synthesized answers, citations, and sometimes traditional web links.
See how often ChatGPT, Perplexity, Gemini and Google AI Overviews mention, recommend and cite your brand, with the evidence behind every answer.
Explore Intelligence