Business details, categories, services, locations, and pages tell different stories across the web.
Reputation Management Workflows
Build an Ethical Review and Response System Your Team Can Sustain
Make feedback easier to request, route, answer, and learn from while keeping every published review authentic.
Why this matters
Being listed does not help when customers find conflicting details, weak proof, or a broken path to contact.
Local discovery, AI answers, profiles, reviews, pages, ads, and follow-up work as one customer journey. Treating them as unrelated tactics creates gaps that ready customers feel immediately.
Thin service information, unanswered objections, weak local proof, or unmanaged reviews slow the decision.
Calls, forms, appointment requests, tracking, and follow-up do not connect cleanly after discovery.
How the solution works
Connect find, trust, and contact around one priority service.
Client-owned assetsHuman approval gatesInspectable handoffNo outcome guarantees
Confirm the real business footprint, priority location, service, customer, and desired action.
Correct the highest-impact profile, listing, page, review, content, and technical gaps.
Repair the call, form, booking, tracking, and follow-up path behind the visibility.
Fit & boundaries
Know what the engagement does—and does not—include
Clear ownership and exclusions protect the result before work begins.
Good fit when
- Review requests happen inconsistently or not at all.
- Responses depend on one busy owner.
- Feedback is collected but never reaches the team that can fix the problem.
Launch boundaries
- No incentives, suppression, or selective positive-only requests.
- No fake reviews, employee reviews, or undisclosed generated endorsements.
- No promise that platforms remove criticism or raise a rating.
What Custom AI Works does
A working system, not a vague promise
Review-request, response, escalation, and feedback workflows that help real customers share honest experiences without incentives or review gating.
Request workflow
Trigger neutral review requests after appropriate completed interactions.
Response library
Prepare brand-safe response patterns with human approval for sensitive cases.
Escalation rules
Route urgent complaints, safety issues, and privacy-sensitive feedback internally.
Theme reporting
Summarize recurring service themes without profiling individual reviewers.
Packages
Start at the level your operation needs
No public dollar claims: scope, access, third-party costs, and owner responsibilities are confirmed first.
Starter
Scope and pricing are confirmed after discovery. No media spend or third-party fees are hidden in the quote.
- Current-state audit
- Prioritized action plan
- One bounded implementation
- Owner handoff and next steps
Growth
Scope and pricing are confirmed after discovery. No media spend or third-party fees are hidden in the quote.
- Everything in Starter
- Managed execution cadence
- Reporting and decision log
- Monthly optimization review
Custom
Scope and pricing are confirmed after discovery. No media spend or third-party fees are hidden in the quote.
- Cross-platform scope
- Custom integrations or workflows
- Governance and approval design
- Phased rollout and runbooks
Delivery
A four-step path with approval gates
Map customer touchpoints
A named owner approves the output before the next material step.
Approve neutral request language
A named owner approves the output before the next material step.
Build response and escalation rules
A named owner approves the output before the next material step.
Review themes and improve operations
A named owner approves the output before the next material step.
Evidence
Artifacts you can inspect before case-study claims
Proof before promises
Until a privacy-safe client aggregate qualifies, this service is demonstrated with a sanitized audit, a sample operating checklist, a synthetic-data reporting view, and the working process used to deliver the engagement.
Client results may be published only as anonymous aggregates from at least five authorized clients or campaigns, with the sample, period, metric definition, and verification date disclosed. Public examples remain clearly labeled as external.
FAQ
Questions, answered
Can we ask only happy customers for reviews?
No. The workflow asks eligible customers neutrally and does not route unhappy customers away from public review choices.
Can AI write every response automatically?
AI can draft low-risk responses, but sensitive, legal, health, safety, and account-specific cases should require human review.
What data do you report?
We focus on aggregate themes, response coverage, and workflow timing. We avoid sensitive profiling and unnecessary personal data.
Can you remove false reviews?
We can document and flag content that appears to violate platform policy. The platform makes the removal decision.
Related
Build the rest of your Local Growth system
Make the next decision
Where is the gap between local visibility and a real customer action?
Share your location, priority service, and current customer path. We’ll review the controllable visibility and conversion gaps that deserve attention first.
- Which location and priority service must the page or profile support?
- Which business details, listings, reviews, or pages are inaccurate or weak?
- Can a ready customer call, request, buy, or book without hitting friction?