How to Get Cited by ChatGPT

Getting cited by ChatGPT requires understanding the two paths the model uses to surface your content: training data (the model's baseline knowledge) and real-time retrieval (ChatGPT Search and similar features). Both matter. Most B2B teams optimize for neither.

Training data presence: the major AI models trained on snapshots of the web through specific cutoff dates. To be in the model's training data, your content needs to have existed before the cutoff, been crawled by Common Crawl or equivalent, and be on a domain the model trusts. Build domain authority over time. Publish substantive content consistently.

Real-time retrieval: ChatGPT Search, Perplexity, and Bing-based AI tools fetch your content live when relevant. To surface in retrieval, your content needs to rank in Bing for the relevant query (Bing is the underlying index for most AI retrieval), have clear schema markup, and be structurally extractable (clear headings, defined sections, FAQ blocks).

The compounding investment: machine-readable surfaces (llms.txt, profile.json, OpenAPI specs, JSON-LD), external citations (mentions on high-authority sites with backlinks), and entity clarity (consistent identity signals across LinkedIn, Crunchbase, your site). Each of these increases the probability of citation across all AI surfaces, not just ChatGPT.