Reputation and Review Growth Framework

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This framework shows how ResolutionsDMA structures review requests, response workflows, reputation monitoring, and local trust signals.

Framework note: This framework shows how ResolutionsDMA would structure the strategy, tracking, automation, and reporting needed to improve marketing visibility and decision-making. It does not represent a named client, guaranteed result, or documented performance claim.

Overview

Reputation work should make it easier to request feedback, monitor responses, route issues, and keep public replies accurate and human-approved.

The Challenge

Many businesses ask for reviews inconsistently, miss response windows, or lack a workflow for routing feedback to the right owner.

The ResolutionsDMA Approach

  • Define when and how review requests should be sent.
  • Create response and escalation rules.
  • Monitor review sources and feedback patterns.
  • Use AI-assisted drafts only with human approval.

Systems Involved

  • Review request workflow
  • Reputation monitoring
  • Response draft and approval process
  • Feedback routing
  • Local SEO trust signal review

What This Helps Improve

  • More consistent feedback requests
  • Clearer response ownership
  • Better reputation monitoring
  • Stronger local trust signals

What The Business Should Track

  • Requests sent
  • Review source
  • Response status
  • Response time
  • Escalated feedback
  • GBP and local listing actions

Related Services

Next Step

Start by defining the review request trigger, response owner, approval process, and monitoring cadence.

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