Preuve AI: source-linked startup research and competitor mapping

Preuve AI is a startup-idea research tool that turns a business description into a structured report. The company says it gathers live information from sources including Crunchbase, Google Trends, Reddit, Product Hunt and G2, then uses that material for competitor mapping, market analysis and a viability score.

Describe a business precisely

The Preuve AI website asks what the idea is for, what it does and how it makes money. That level of detail matters because a broad category such as “an AI app” leaves too many possible buyers, substitutes and pricing models.

A useful input would identify the intended customer, the problem being addressed and the proposed route to revenue. The goal is to receive research about the actual business hypothesis, rather than a generic overview of a large market.

Inspect the evidence behind the score

Preuve advertises more than 60 live data sources and up to 15 competitors per report. It describes source-linked claims, competitor funding and pricing information, demand signals and suggested pivots.

Those features can make a report easier to investigate, but the score remains the tool’s assessment. A low score is not proof that a business cannot work, and a high score is not evidence of future revenue. Source dates, the relevance of a competitor and whether a community comment represents the intended buyer all matter more than the headline number alone.

Use it to shape the next investigation

Start by opening the citations behind the strongest competitor and demand claims. Check whether the cited product still serves the same audience and whether its pricing comparison uses a comparable plan. Then turn a proposed pivot into a question for prospective customers.

Preuve offers a free scan and paid report options on its site; current scope and terms should be checked before purchase. Its vendor-published benchmarks and testimonials do not replace customer interviews or an independent assessment of the business. The useful output is a research trail and a clearer set of assumptions to test.