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Review response drafting for multi-location operators

Every review gets three to five response drafts — different tones, different lengths — already shaped by the location, the customer, the state rule, and your brand voice.

The problem

A 200-location operator typically gets around 10,000 reviews a month. Drafting responses by hand takes 5 to 15 minutes per review. A two-person reputation team is looking at 800 to 2,500 hours a month — which is why so many negative reviews go unanswered or get a copy-paste template that sounds like a robot. Reputation management platforms (Reputation.com, Birdeye, Podium, Yotpo, Trustpilot) ship AI response features. AI review reply tools (Localboss, ReviewReply.ai, MARA, Reviewly, Replyify, Trustmary) generate responses. Help desk platforms (Zendesk Resolve, Intercom Fin, Freshdesk Freddy, Salesforce Einstein, HubSpot Breeze) bolt review reply onto agent-assist. Enterprise experience platforms (Chatmeter, InMoment, Medallia, Qualtrics) handle it as part of broader XM programs. The problem with most of them: the response sounds the same across every location, the brand voice drifts, healthcare and regulated verticals run into HIPAA and FDA constraints the generator does not know about, and the same reviewer who left a 1-star last month gets the same syrupy response template as the first-time reviewer.

What success looks like

Every review gets three to five response drafts within seconds of arriving. Each draft has a different tone, length, and apology level. Each one already knows which location was reviewed, which state rules apply (HIPAA for dental, ADA for accessibility, FDA for medical or claims), and what your brand voice spec says. High-risk responses route to a supervisor before publishing. Genuine crisis-language reviews route to your crisis team. Your reputation team selects, edits, and publishes in under a minute per review. Quality goes up because every draft starts from the same checked baseline.

How most operators solve this today

Several categories already draft review responses. None of them combine per-location context, state-by-state rules, and brand voice into the draft in one workflow:

  • Reputation management with AI response (Reputation.com, Birdeye, Podium, Yotpo, Trustpilot)

    $199 to $200,000+/year

    AI response is a feature, often generic. Brand voice tuning is shallow. State-by-state compliance is your team's job.

  • AI review response generators (Localboss, ReviewReply.ai, Sembly, MARA AI, Reviewly, Replyify, Trustmary, Userpilot)

    $0 to $799+/month

    Built for SMBs with one location. Multi-location brand voice consistency and state rules are not in scope.

  • Help desk platforms with review response (Zendesk Resolve, Intercom Fin, Freshdesk Freddy, Salesforce Einstein, HubSpot Breeze)

    $15 to $1,500+/user/month

    Bolted on to agent-assist. Built around tickets, not reviews. Per-location context limited.

  • Enterprise experience platforms (Chatmeter, InMoment, Medallia, Qualtrics XM, Clarabridge)

    $30,000 to $500,000+/year

    Long implementation. Powerful, but the response-drafting feature is one piece of a much larger platform commitment.

  • Build it in-house

    Senior engineer ($130-220k) + reputation manager ($70-110k) + ongoing maintenance

    Custom LLM prompt engineering plus integrations to your reputation platform plus brand voice tuning. Works for one product line at one location. Scaling to 200 locations across multiple regulated verticals is the maintenance burden.

What changes when this is an agent skill

For every incoming review, the system reads the location, the customer (where identifiable), the state rules that apply, the brand voice spec, and the classification output (positive, negative, crisis, employee mention, and so on). From that context it drafts three to five response options — warmer or more direct, shorter or longer, more or less apologetic. Healthcare verticals get drafts that respect HIPAA (the draft does not acknowledge a patient relationship publicly). Optometry and ADA-adjacent verticals get accommodations-appropriate language. Medspa and FDA-adjacent verticals get substantiation-aware language. Brand voice is checked before drafts surface. Low-risk drafts can auto-publish if you choose; medium-risk routes to supervisor; crisis-language routes to your crisis owner. Every published response is logged with the inputs that shaped it.

Agents that include this skill

Skills live inside agent rentals. To get this skill in production, hire any of the agents below — context-tuning at onboarding is included in the first month.

FAQ

How is this different from Reputation.com, Birdeye, or Podium AI response?
Those generate generic responses. This drafts in your specific brand voice, applies state-by-state compliance, and runs across whichever reputation platform you already use.
How is this different from MARA, ReviewReply.ai, or Localboss?
Those are aimed at single-location SMBs. We are aimed at operators with dozens to hundreds of locations who need consistent brand voice and state-by-state compliance across every response.
How are HIPAA, ADA, and FDA rules handled in responses?
HIPAA-relevant verticals get drafts that do not acknowledge a patient relationship publicly. ADA-relevant verticals get accommodations-appropriate language. FDA-relevant verticals get substantiation-aware language. The rules are encoded per location and applied per review.
How many drafts per review does the team see?
Three to five, with different tones, lengths, and apology levels. The reputation team picks one, edits if needed, and publishes.
Can low-risk responses auto-publish?
Yes, if you want. Set a confidence threshold and let positive 5-star reviews get auto-thanked while everything else routes to a human. Crisis-language reviews always route to your crisis owner.
How is brand voice kept consistent across hundreds of locations?
Your brand voice spec is captured once. Every draft is checked against the spec before it surfaces. Drafts that drift get flagged.
Does this work alongside our existing reputation platform?
Yes. It runs on top of Reputation.com, Birdeye, Podium, Yotpo, Trustpilot, or your direct Google and Yelp integration. We add the draft-and-route layer.
Does this work for operators with fewer than 50 locations?
Yes. There is no minimum location count.

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