Review-Response Drafter | Real Minds AI
AutomotiveDraftinglive

Review-Response Drafter

Reads new reviews across Google, the delivery apps, and the booking sites, drafts an on-brand reply matched to the rating that quotes the detail the reviewer mentioned, and flags anything about food safety, illness, or staff for the manager. It drafts for approval and never posts on its own.

realmindsai.com.au/theater/demos/retail_review-response.html · sandbox · read-only
Open the live demo →
How it would work

One agent, grounded in your library, with citations on every paragraph.

01 · input
Member question
02 · agent
Your agent
03 · output
Cited answer or escalation
The problem it solves

Review platforms reward operators who reply promptly — in ranking and in guest trust — but writing a genuine response to every rating across several platforms rarely gets prioritised, so reviews pile up unanswered. The mechanism is consistent: the drafting is repetitive manager time, and a generic "thanks for your feedback" reads worse than silence, so the work that protects reputation is the work that keeps getting deferred.

This pattern reads new reviews as they land, drafts a reply matched to the rating — warm and specific for high ratings, genuinely apologetic and concrete for low ones — and references the detail the reviewer actually raised rather than a template. It flags any review mentioning food safety, illness, or a staff complaint for the manager to handle personally. Every draft waits for a person to read, edit, and post; nothing publishes automatically. One published case cut the per-review drafting task from about 30 minutes to 5.

TA
Tracy Anthony · Co-Founder & CEO · wrote up this design
What it would take to build

Estimated build: 3–4 weeks. Most of it is template work we've already done.

Estimated build time
3–4weeks
Diagnostic · build · soft launch · review.
Reused from template
~70%
Agent shell · retrieval · audit · deployment.
Bespoke to this skin
~30%
Review-platform connections, brand-voice tuning, escalation triggers.
stack · Make · review-platform APIs · LLM drafting · review UI
What it would cost for your org

Fixed scope, fixed price, fixed dates.

The cost band reflects the engagement shape, not a per-feature line item. We work on fixed scope, fixed price, fixed dates — see the services catalogue for what falls inside each band.

Engagement band
A bite-sized first piece → pilot build → embedded support. Start small, scale on proof — most builds land in the pilot band.

Considering this for your org?

The honest place to start is a bite-sized first piece — one contained change, low risk. Tell us where it hurts; we’ll play it back, scope it, and show you what’s possible.

Book a call →How we work →
Events Assessment Proof Talk to us
Ask us anything