Use cases / Reviews & Reputation

HVAC Review Requests After Service Calls

Last updated

Short answer: Send a review request automatically when the tech marks a job complete, using the tech's name and the work done. Use AI to draft replies and to sort feedback into themes each week. Ask every customer, not just the happy ones.

The problem: Techs close dozens of service calls a week but reviews trickle in because asking depends on whether the tech remembers.

Trades
HVAC
Category
Reviews & Reputation
Difficulty
Easy
ROI lever
Review volume per tech
Tools
Field service CRM + Google Business Profile + Business texting + ChatGPT Plus

Tools and approximate pricing

Prices are public list prices as of 2026-10-20 where shown; otherwise they vary by plan and usage. Check the vendor's pricing page.

Workflow

  1. Trigger on job complete with an invoice paid or closed.
  2. Text within an hour: tech's name, what was fixed, and the Google review link.
  3. One reminder after 2 days if no review.
  4. AI drafts a reply to each review mentioning the tech and the service; a manager approves.
  5. Weekly: AI groups reviews and comments into themes (punctuality, explanation, price) for the team meeting.

Starter prompt

Write a short review request text for [Company]. Tech: [name]. Work done: [e.g. replaced capacitor, cleaned condenser coil]. Under 50 words, thank them, include [link], and invite them to say how [tech] did. No incentives and no 'please leave 5 stars'.

What to measure

Track reviews per 100 completed jobs, by tech.

FAQ

Should techs get credit for reviews?

Many shops track it per tech. Just don't pressure customers in person or offer them anything for a review.

Text or email?

Text usually gets more responses for service calls; email works as the reminder.

What about bad reviews?

Call the customer first, fix what you can, then post a calm public reply.

Safety note: any customer-facing AI should hand gas smells, sparking, smoke, or active flooding to a human or emergency services right away. Last updated 2026-10-20. How we pick and check use cases.

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