Use cases
Every one of these fails on a star rating alone and works on quoted themes.
Product and marketing
Pull a competitor's reviews and read the one-star tail. The recurring complaints are a roadmap someone else paid to discover — and each theme arrives with the reviews behind it, so you can quote a real customer in a strategy doc instead of a paraphrase.
Content and SEO
A "you vs them" page is only credible if the claims are sourced. Take the themes and their quotes, link each one back to the review it came from, and the page stops being an assertion. This feeds the same workflow the Ounie comparison and battlecard apps already sell.
Ops and finance
Before wiring money to a vendor you have never used, read what their customers say about refunds, delivery and support responsiveness. A brand with no reviews at all is itself a finding — and that report costs nothing.
Support and CX
Run your own brand on a recency window and see what changed. The star distribution tells you the shape; the themes tell you which team owns the problem. Re-run monthly and the deltas are the report.
Corp dev and investors
Reviews are the cheapest customer research that exists for a business you do not own yet. Complaint themes distinguish a company with an operations problem from one with a product problem — a distinction that changes what an acquisition is worth.
AI agents
Reputation research is recurring by nature, which makes it a scheduled job. An agent can run the same brand every week over REST, MCP or x402, diff the themes, and only surface the report when the negative share moves.
Reviews are self-selected. People who had an extreme experience write them; people who had an ordinary one usually do not. A Review Radar report is an accurate account of what public reviewers said — it is not a measurement of a business, and a heavy one-star tail is a question to investigate rather than a verdict to publish.