ReviewLoop

Reviews are the single biggest local-SEO and trust signal for an SMB, and they're also the work nobody wants to own. Five-star reviews sit unanswered for weeks. Three-stars get a generic template that makes the customer feel unheard. One-star complaints get either silence or a defensive rant that lives forever on Google. Most SMBs end up either ignoring reviews or paying $300-500/mo for a reputation-management SaaS that still requires someone to write every reply.

ReviewLoop unifies every review platform into one inbox — Google, Yelp, Facebook, Tripadvisor — and drafts a response for each one in the business's voice. The visitor picks a tone (friendly / professional / apologetic / brief), the AI adjusts, and the owner publishes with one click. Complaints that need a human (billing disputes, allegations about staff conduct, pricing accusations) are auto-escalated to the owner with a recommended action path — no auto-published refund offers, no AI deciding when to apologize on behalf of the business.

ReviewLoop pairs naturally with JobLine: when a job hits “complete,” a review-request SMS fires to the customer with a one-tap link. Reviews that come in carry a reference back to their originating job, so when a 4-star review mentions “wait window,” it's linked to the specific job log where the dispatch alert misfired.

Response rate climbs to 95%+ because the work goes from “draft a thoughtful reply from scratch” to “read this and click publish.” Response time drops from days to hours, which is the actual signal review platforms weight for ranking. The owner's attention concentrates on the 5% of reviews that actually need a personal response, not the 95% that just need a warm acknowledgment. And the brand voice stays consistent regardless of who's on review duty that week.

Most reputation-management tools approach this as a content problem — write more reviews, write better replies. The real problem is judgment: knowing when AI should draft, when a human should personalize, and when a response is dangerous (legal exposure, public dispute, allegation about staff). ReviewLoop is built around that judgment.

The drafting voice, the escalation rules, and the topic detection are all tailored to the business — a healthcare practice has different PHI-aware constraints than a restaurant, which has different brand-voice rules than an HVAC company. Benri builds those rules into the system at scope, not after a client gets burned by a bad auto-reply.