LLM Visibility: How to Get Found by ChatGPT, Claude, and Perplexity
LLM visibility is the practice of making your company easy for large language models to retrieve, understand, and cite.
LLM visibility is not about tricking a model. It is about making your public pages explicit enough that AI systems can understand what you do, who you help, and why you deserve to be cited.
Measure visibility with repeated buyer questions, saved raw answers, cited URLs, providers, and dates. This evidence separates a temporary answer from a durable improvement and shows whether the gap is missing proof or missing keywords.
The three layers
First, crawlability: AI crawlers must be allowed to access your important pages. Second, clarity: your pages must answer the query directly. Third, corroboration: other pages and sources should confirm what you claim.
What to publish
Prioritize category pages, comparison pages, use-case pages, and direct FAQ answers. LLMs cite the clearest source, not always the most famous one.
See why AI recommends your competitors
Run a visibility audit to compare mentions, cited sources, and the page that needs improvement.
Run my auditFrequently asked questions
How is LLM visibility different from SEO?
SEO optimizes for ranked pages and clicks. LLM visibility optimizes for being retrieved, summarized, and cited inside AI-generated answers.