The problem
Finding a genuinely good plumber, appliance repair tech, or bike mechanic is still a coin flip. Star ratings are saturated — everyone is 4.7 — and the signal that separates “fine” from “excellent” is buried in the text of thousands of reviews nobody reads.
The insight
The review text contains what the stars can’t show: does this shop fix it right the first time, show up when they say, charge what they quoted? Mining and structuring that signal at scale produces a ranking that’s actually useful — and content that search engines love, because it answers the exact question people type.
How it could work
- Pull full review corpora for every provider in a category + metro.
- Extract dimensions that matter per trade (punctuality, honesty on quotes, quality of repair, communication) and score providers on each.
- Publish city-by-trade ranking pages — each one a long-tail SEO asset — with the evidence quoted and linked.
- Monetize by helping the good shops grow: the ranked business becomes the customer, not the advertiser.
Why me
I’ve already built review-mining prototypes across whole metro trades, and TripOutside taught me how to build programmatic SEO pages that rank and stay accurate.
Why it matters
Great repair businesses keep things out of landfills. Sending them customers is a sustainability play wearing an SEO costume.
Open questions
- Which trade first? (Appliance repair looks underserved and high-intent.)
- Directory business model vs. tooling-for-shops model — or the first funding the second?
Interested in this one? If you're living this problem, want to build it, or just want to compare notes — message me on LinkedIn or book a day and let's scope it.