How do I monitor what ChatGPT says about my brand?
Define the buyer-intent questions your prospects ask, run them in ChatGPT on a fixed schedule (weekly works for most B2B SaaS), record the answers verbatim, and diff each run against the last for changed claims, competitor displacement, and citation changes. Manual checking works for a first audit; automated tools like Perciva handle the scheduled runs, diffs, and alerts.
Start with the prompt set, not the tooling. List the questions an in-market buyer would actually type: 'best [category] for [segment]', '[you] vs [competitor]', '[you] pricing', 'is [you] SOC 2 compliant', 'alternatives to [competitor]'. Fifteen to thirty prompts across comparison, pricing, and trust categories is enough to detect movement without drowning in output.
Run them cleanly. A logged-in ChatGPT account personalizes answers based on your history — as the vendor, you will get flattering, unrepresentative results. Use fresh sessions or API calls, and keep the wording of each prompt identical between runs so week-over-week differences reflect the engine, not your typing.
The value is in the diff, not the snapshot. Record answers verbatim, then compare: which claims changed, which competitors appeared or vanished, which sources got cited. A single reading tells you where you stand today; the diff tells you when something breaks — which is the thing worth acting on.
- Prompt set: 15–30 buyer questions, held constant between runs.
- Clean sessions: No logged-in history — it contaminates answers.
- Cadence: Weekly runs, diffed against the previous run.
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Last updated: 2026-07-24