Reply Rail
AI-drafted Google, Yelp, and Facebook review responses for local businesses — one queue, one click.
// Google, Yelp, and Facebook in one inbox — drafted replies for every one
Figures from the engagement, shared under NDA.
We publish them unchanged and can’t break them down any further here. The reference build you can open runs entirely on sample data.
If you read one part of this page, read these 3 lines.
- Unified inbox — Google, Yelp, and Facebook reviews in one queue
- Drafted replies with three tones and platform-aware character limits
- Themes panel with AI-extracted topics and sentiment-colored bars
What it does — and which part of it we built.
Pulls reviews from Google, Yelp, and Facebook into a single queue, drafts a tone-matched reply for every one, and tracks sentiment trends across locations — so a small business owner stays at under-24h response time without writing a word.
Every screen here is from the reference build, not the client’s system.
The captions say what you are looking at. Every name and record on them is sample data.
What the engagement left the client with.
- Average response time held under 24 hours across 6 locations
- Owner spends ~10 minutes a day on reviews instead of an hour
- Sentiment trend visibility per location for the first time
The stack was picked per constraint, not per house habit.
4 technologies across 1 layers — the shape of the stack follows the problem.
Every feature in the build (5)
- Unified inbox with AI urgency lanes (Urgent / Reply soon / Auto-thanked / Quiet)
- Drafted replies with three tone presets and platform character limits
- Themes panel: AI-extracted topics with sentiment-colored bars
- 12-week multi-platform rating trend chart
- Per-location scorecard with top complaint and top compliment
Don’t take our word for it — it is running in the frame below.
This is the same page the provenance block links to: our reference build for Reply Rail, with its own look, copy and motion. Scroll inside it, or open it full-screen.
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