7 min read
LLM Visibility: How to Get Your Content Cited by ChatGPT, Perplexity, and Claude
AI search is the next frontier. Learn how to optimize for LLM visibility so AI assistants cite your brand.
R
ruben
The Rise of AI Search
A growing percentage of research happens through AI assistants. When someone asks ChatGPT "what is the best headless CMS?", the answer determines which products get discovered. This is LLM visibility.
How AI Assistants Choose What to Cite
- Training data — Content in the model's training dataset
- Web search grounding — Perplexity and ChatGPT with browsing search the web
- Structured content — Clear, factual content is easier for models to cite
- Authority signals — Backlinks and mentions influence citation likelihood
7 Strategies for LLM Visibility
- Create an llms.txt file — Like robots.txt but for AI crawlers
- Write clear, factual content — State facts directly, do not bury answers
- Use structured formats — Tables, lists, and definitions
- Build topical authority — 10-20 posts per core topic
- Add JSON-LD structured data — BlogPosting, FAQPage schemas
- Monitor AI mentions — Track when AI cites your brand
- Test prompts regularly — Monthly testing across ChatGPT, Perplexity, Claude
Measuring LLM Visibility
RankFlo's score: mention volume (30 pts), sentiment (25 pts), citations (25 pts), topic coverage (10 pts), prompt testing (10 pts).