Responding to every online review with an AI drafting agent

Reviews pile up across Google Business Profile, Yelp, and industry sites faster than anyone replies. An agent watches each source, drafts a reply that references what the reviewer actually said, and routes complaints to someone who can fix the underlying problem.

01the problem and who owns it

Prospects read reviews and they read the replies. Unanswered complaints look like indifference, and copy-pasted thank-you notes look worse. Multi-location businesses feel this most: each location has its own profile, nobody owns the replies consistently, and the backlog grows until someone spends a weekend clearing it.

The marketing manager usually owns the replies, but the useful part of a negative review (a rude technician, a billing error, a broken process) belongs to operations. Without routing, that signal dies in the marketing inbox.

02what the AI does, step by step

1. Collect new reviewsThe agent polls each location's Google Business Profile through its API and pulls other sources through a review aggregator or platform exports where direct access is not offered. Each review is stored with location, rating, text, and date.
2. Classify the reviewThe model labels sentiment, topics mentioned (staff, wait time, price, quality), whether a specific employee is named, and whether the review describes something that needs action. Reviews that mention safety, legal threats, or discrimination are flagged as urgent.
3. Draft a specific replyDrafts reference a concrete detail from the review, follow your voice guide, stay short, and never argue facts. Negative replies acknowledge, offer an offline channel, and avoid confirming any private details about the customer.
4. Route complaints to an ownerReviews needing action create a ticket for the location or operations lead with the review text and suggested next step. The public reply waits until the owner confirms what can be said.
5. Approve and postA person approves, edits, or rejects each draft in a queue. Approved replies are posted through the platform API where available, or copied in by hand where it is not.
6. Report themes monthlyTopics and sentiment are rolled up by location so leadership sees recurring issues, such as one branch with repeated wait time complaints, rather than isolated stars.

03systems it connects to

• Review sources. Google Business Profile, Yelp, Facebook, Trustpilot, G2, or industry sites, depending on your business.
• Aggregator. Optional reputation platforms such as Birdeye or Podium that already collect reviews across sites.
• Ticketing. Your helpdesk or task tool for complaint follow-up.
• Approval queue. A simple internal page, Slack workflow, or shared sheet where drafts wait for a decision.

04human checkpoints

• Every reply is approved. No reply posts without a person clicking approve. Public words in your brand's name stay human decisions.
• Negative review protocol. One- and two-star reviews go to the location manager first, so the reply reflects what actually happened.
• Voice guide sign-off. Marketing approves the voice guide and banned phrases, and revisits them when drafts start to sound repetitive.

05what to measure

• Response rate and time. Share of reviews answered and median days to reply, by location.
• Draft acceptance. How often drafts post unedited, lightly edited, or rewritten.
• Complaint closure. Action-needed reviews that led to a resolved ticket.
• Rating trend. Average rating and volume over time per location, read alongside operational changes.

06risks and guardrails

• Privacy in replies. Healthcare, legal, and financial businesses must not confirm that a reviewer is a client or mention details of their visit; for clinics that can create HIPAA exposure. Build that rule into prompts and review it with your compliance lead.
• Sounding automated. Repetitive openings get noticed. Rotate structures, require a detail from the review, and track repetition.
• Review gating and incentives. Keep review requests and replies consistent with platform rules and FTC guidance on reviews. The agent replies; it does not solicit or filter reviews.

07build vs buy

Reputation platforms like Birdeye, Podium, and several local SEO tools now include AI reply suggestions. For a business with a few locations and standard needs, one of those is the fast answer.

Custom work makes sense when complaints must reach your own ticketing or field systems, when regulated privacy rules need strict enforcement, or when you want review themes joined to operational data like technician or appointment records.

08related playbooks

Browse every marketing and paid ads playbook or the full library.