Product
Visibility asks several AI models how they interpret the website text you provide. Message asks one AI model to role-play one buyer. Offer compares AI-generated customer problems with AI-generated common solutions. These are AI-assisted starting points, not live search results or real customer research.
01 · Citation risk: being left out of AI answers
Enter your brand name and paste website wording. Several AI models answer a buyer-style question. Perceptra compares each answer with five descriptions, from “not mentioned” to “main recommendation,” then shows their answers and how much they agree.
The bars show text similarity to those descriptions, not live mention rates. The app does not visit your website or query live AI search.
02 · Message risk: one simulated buyer response
Enter one buyer role and the exact message they would read. One AI model responds as that buyer. Perceptra compares this one response with five descriptions, from “would reject” to “would recommend,” and shows the model's reasoning.
This is one role-play, not a group of buyers, a survey, or a panel of AI models. The bars are not percentages of people.
03 · Capital risk: spending on the wrong opportunity
Enter a business idea and optionally name its customer and problem. AI generates lists of common solutions and customer problems. Perceptra compares their wording and shows which generated problems are least similar to the generated solutions, then suggests one idea to investigate.
Offer has no fixed SSR descriptions. Its chart is a relative text comparison, not proof that a problem is underserved, that customers want a solution, or that they will pay.