Reputation & Referral
An AI reputation manager is software that automates the post-job customer sequence — satisfaction check, review request, complaint escalation, referral ask — without requiring manual management. It runs consistently on every completed job and adapts the sequence based on the customer's responses.
The AI reputation manager runs a branching sequence triggered by job completion. Satisfied customer: review request at 72 hours, referral ask at 2 weeks. Dissatisfied customer: immediate escalation to complaint handling, no review request. No response to satisfaction check: single follow-up, then archive. The branches run automatically; you only see escalations.
Beyond the sequence, an AI reputation manager monitors the overall health of your review profile: tracking new reviews as they appear, flagging negative reviews for response, and identifying trends in review content (recurring mentions of a specific technician, a specific service issue, or a specific positive). This monitoring replaces the manual task of checking Google reviews periodically.
For service businesses, the business case for an AI reputation manager is clear: reviews directly affect both search visibility (AI and Google) and customer decision-making. A business with 80 reviews and a 4.6 average wins more inbound leads than an identical business with 12 reviews and a 4.4 average. The reputation manager compounds this advantage by generating reviews consistently over time rather than in one-off bursts.
Common questions
Part of the platform. The reputation management automation is included as a component of Polemica's AI workforce — it connects to the same job completion triggers as billing automation and follow-up automation, running the review and referral sequence as a parallel workflow. You don't configure them separately.
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