Why ChatGPT visibility is worth tracking
ChatGPT handles billions of prompts per week and is the default answer engine for a growing share of professional buyers. Being recommended inside a ChatGPT answer shapes shortlists before any website visit.
Step 1 - Define your prompt set
Build 30-100 prompts that reflect how buyers actually ask ChatGPT about your category. Mix category prompts ('best X for Y'), comparison prompts ('X vs Y'), alternative prompts ('alternatives to X'), and use-case prompts ('how do I do Z').
- Pull language from sales calls and support tickets
- Include competitor names
- Cover the full funnel: awareness -> consideration -> decision
Step 2 - Sample consistently
Run each prompt on a consistent cadence - weekly for active tracking, monthly for baseline. Use fresh sessions to avoid personalization bias, and sample multiple times per prompt because ChatGPT responses vary.
Step 3 - Tag mentions
For each response, tag whether your brand is mentioned, the position of the mention, sentiment, and which competitors also appear. Normalize brand aliases so 'Acme', 'Acme Inc', and 'acme.com' collapse to one entity.
Step 4 - Calculate share of voice
Share of voice = your mentions / total brand mentions across the prompt set. Track weekly. Segment by prompt type to see where you're strong (comparison prompts) vs weak (category prompts) and prioritize accordingly.
Step 5 - Act on the data
Coverage gaps typically resolve through targeted content and PR aimed at the sources ChatGPT cites for those prompts. Sentiment issues resolve through messaging fixes and review response.
Tools
Dedicated platforms - Profound, Peec AI, Athena, Otterly, AthenaHQ, and others - automate sampling, tagging, and reporting. For manual programs, a shared spreadsheet works up to ~30 prompts.