Traditional analytics starts after someone clicks. The decision is increasingly happening before that.
When an AI assistant recommends a competitor, there may be no website visit to measure. The lost opportunity disappears from ordinary analytics — whether the buyer asked ChatGPT, Perplexity, or another engine.
Prescy measures the two engines we can query reliably with real citations: ChatGPT (the logged-out web interface your buyer sees) and Perplexity. It asks the buyer questions that matter, records who was named and which pages were cited, and turns that evidence into a next action. It does not measure Google AI Overviews — no public API, terms-fraught scraping, and it triggers too inconsistently to benchmark; use Search Console for Overview impressions.
Small, useful and accountable.
- 01
Show the evidence
A count is only useful if you can see what created it. Prescy keeps the underlying answers and cited URLs visible — named in X of Y, never a proprietary 0–100 score — so every mention, rival and missed recommendation can be checked.
- 02
Turn data into a next step
More dashboards are not the answer. Prescy identifies a prompt-specific action, locks the original run as its baseline, and measures what later like-for-like checks show after the action is implemented.
- 03
Build for focused teams
The product is made for boutique agencies and marketing teams who need clear client-ready answers without buying another large, complicated SEO suite.
- 04
Be honest about uncertainty
AI answers change. ChatGPT especially varies run to run; engines can disagree or return different results over time. Prescy reports what it can verify on ChatGPT and Perplexity — the two engines it can query reliably with real citations — and makes those limits clear.
Early users do not disappear into a support queue.
If a result looks wrong, a workflow is irritating or there is something your agency needs, say so. Direct feedback is how Prescy decides what to build next.