Free skill pack
Reply to every review in your voice, at any volume.
A tool-agnostic recipe for owners and managers who answer their own reviews. Fill in a tone rules template built from replies you actually wrote, save one prompt, and paste new reviews into ChatGPT, Claude, or Gemini. You get drafts that sound like you, plus a hard stop that routes legal threats, safety complaints, and staff accusations to a human before anything gets posted.
Free download · Markdown recipe
Review response pack
A markdown recipe you can run today: a tone rules template, the full drafting prompt with hard rules baked in, escalation criteria for serious complaints, and a QA checklist that keeps bad replies off the internet.
- Download the recipe and fill in the tone rules template with three replies you actually wrote.
- Set your escalation list: the review types that always go to a human first.
- Paste the assembled prompt plus new reviews into ChatGPT, Claude, or Gemini.
- Edit the drafts against the QA checklist, then post.
What this handles
One saved prompt turns a batch of reviews, pasted with their star ratings, into three things per review: a one-line read on what the reviewer actually wants, a draft reply in your voice, and an internal note on whatever the review says your operation should fix.
The voice comes from a tone rules template you fill in once. The field that matters most is the three real replies you paste in; the model imitates those far better than it imitates "friendly but professional." Hard rules sit underneath the tone: never argue publicly, never admit fault or promise money, never confirm private details a reviewer volunteered, and always reference one real detail from the review so the reply reads written rather than templated.
The escalation criteria are the part most DIY review prompts skip. Legal threats, safety incidents, accusations against a named employee, discrimination claims, billing disputes, suspected fakes: those never get a standard draft. The model outputs an ESCALATE flag and a neutral holding reply, and a human makes the call.
How to run it
Setup happens once. Fill in the tone rules template with your sign-off, your banned phrases, and three replies you have actually written and liked. Set the escalation list, starting from the six triggers in the download and adding your own. Paste the tone rules into the drafting prompt and save the whole thing where your team keeps snippets.
Then the loop is short. Weekly, or whenever reviews land, paste the prompt plus the new batch. Escalated reviews go to the owner, not the reply box. Everything else gets a quick edit until it sounds like you on a good day, then gets posted.
The QA checklist in the download takes about a minute per batch: read drafts aloud, confirm no draft admits fault or promises money, confirm the specific detail in each reply actually exists in the review, and give every escalation a human decision.
When to upgrade
A manual paste loop fits one location and a handful of reviews a week. It stops fitting when replies lag by days, when several people run drifted copies of the prompt across locations, or when nobody notices that the same complaint has shown up five times this month. The fix at that point is not a better prompt. It is a system that watches every review platform, drafts in your voice, routes escalations to the right person automatically, and reports recurring complaints as the operational signal they are. That is a build, not a snippet. See what we install or book a free AI opportunity audit to find out whether your review volume justifies it.
Keep going
Want reviews answered before you open the dashboard?
We install agents that watch every review platform, draft replies in your voice, and route serious complaints to the right person. Same team. Double the output.
We take on companies ready to invest $5,000+/month. Not there yet? Our free resources are genuinely free.