How do I track ChatGPT citations of my brand?

Tracking ChatGPT citations requires running the same prompts repeatedly across time, recording which brands appear, and aggregating into a citation-share metric. Manual testing works at small scale: maintain a spreadsheet of 50–100 target prompts, run them weekly in ChatGPT, ChatGPT Search, Claude, Perplexity, and Google AI Overviews, and tag whether your brand appears, in what position, and with what context.

At scale, this is automated by dedicated AEO platforms: Surfaced runs configurable prompt sets across all major engines, computes share-of-voice vs. competitors, identifies which content drives citations, and autonomously generates remediation content for gaps. Peec.ai offers strong monitoring dashboards at a lower price point. Profound is the enterprise-grade option with extensive integrations but premium pricing ($2,000+ monthly). Otterly.ai focuses on Perplexity and ChatGPT with a freemium tier. AthenaHQ and BrandRank.ai are newer entrants targeting brand-tracking use cases.

For roll-your-own, the OpenAI API, Anthropic API, and Perplexity API all support programmatic querying — write a daily cron job that runs your prompt set, parses the response, and logs hits in a database. The catch: ChatGPT Search results differ from the ChatGPT API in retrieval behavior, so API-only tracking misses the consumer-facing surface most marketers care about. Dedicated tools route through the actual consumer interfaces to capture this faithfully.