Market & Competitive Research AI Tools

Searchable database of scored product opportunities mined from G2, Capterra, Reddit and app-store complaints.

Interviews 20 AI personas in parallel to produce a synthesized user-research report within minutes.

Buys you a one-off competitor teardown: positioning, landing pages, SEO, ads, pricing and messaging across 100+ data points

AI moderator runs video interviews with real consumers and compounds them into a queryable insight layer.

Reverse-engineers how a SaaS competitor got its traffic and growth, and hands you a report to copy from.

Reconstructs how a competitor actually grew, tracing first mentions, launch timeline, and moves you can still copy.

Scores and ranks ZIP codes against demographic data so you can pick locations for a store, a campaign or an expansion.

Competitor breakdowns across pricing, features and messaging, plus a recurring email brief when rivals change something

Tracks competitors across the web and pushes scored intel and battlecards into Salesforce and Slack

Turns uploaded spreadsheets and a brief into a market-research deck, report and Excel workbook.

Generates a 10+ page market research report from a questionnaire in two to twenty-four hours.

Generates business model canvases, competitor reports and pitch decks

Mines Reddit threads for what people actually say about a market, then answers your questions with those posts as backing.

Paste a competitor URL and get USP, SWOT, ICP, pricing and review analysis back as a report.

Thoughtworks experiment that researches signals, builds future scenarios and storyboards them

Scores a finished film against 1,600+ festivals and tracks premiere status and deadlines through the run.

Competitive intelligence and win-loss research pushed to sellers inside live deals

Brand and category research data — social, ads, audience, trends — queried from Claude or ChatGPT, or via API.

Asks growth questions about your SaaS and answers from a library of a thousand-plus case studies

Market intelligence search over filings, broker research and expert calls, with cited generative answers

Runs moderated user interviews on its own, transcribes them, and pulls the themes out across the whole study.

Scores startup ideas against live market data instead of gut feeling.

Runs live ad experiments on Meta and LinkedIn against synthetic customer personas to validate messaging before a full launch.

Scores validated micro-SaaS ideas pulled from Reddit, Hacker News, and Product Hunt for indie builders.