Compliance-first ORM wedge · Google reviews first

Fake Google review attack? Build an appeal-ready evidence packet in 5 minutes.

An AI defense workflow for agencies and local businesses: detect suspicious 1-star clusters, gather evidence, match reviewers against customer records, draft safe replies, and track escalation.

No fake reviewsNo removal guaranteesPolicy-mapped packetsAgency-first workflow

The review-response tools miss the emergency.

When a client gets review-bombed, the real work is evidence: screenshots, timelines, customer-record checks, platform policies, appeal narrative, and safe public communication.

Sudden 1-star clusters

Detect abnormal rating drops and review velocity before the client notices the damage.

Extortion and competitor spam

Flag threatening language, repeated phrasing, impossible service claims, and suspicious timing.

No customer match

Compare reviewers against uploaded CRM/POS/job records to support a stronger evidence trail.

What the product does

Start narrow: Google Business Profile incidents. Expand later into full reputation management.

1. Detect

Risk scores suspicious review clusters using rating, timing, language, and customer-record signals.

2. Document

Creates an incident timeline, signal explanations, screenshots placeholders, and policy mapping.

3. Respond & track

Drafts safe public replies, generates appeal-ready packets, and tracks case status through closure.

Clickable MVP demo

This models the v1 sales demo flow for agencies: dashboard → incident → evidence packet → response draft → tracker.

42locations monitored
1critical attack
7reviews in cluster
-0.6rating impact
Client/locationStatusSignalAction
Northstar Dental — AustinCritical7 one-star reviews in 46 minutes
Peak HVAC — DallasNormalNo anomaliesMonitoring
Vista Med Spa — PlanoWatch2 negative reviews, likely realDraft replies
Grove Legal — HoustonNormalNo anomaliesMonitoring
Critical incident

Northstar Dental received 7 one-star reviews in 46 minutes

The cluster contains repeated language, no customer-record matches, and two reviews mention services this office does not provide.

“Total scam. Avoid this place.”★☆☆☆☆

Reviewer not found in uploaded patient/customer records.

“They damaged my car.”★☆☆☆☆

Service mismatch: dental clinic does not provide auto service.

“Pay me or more reviews coming.”★☆☆☆☆

Extortion language detected. Preserve message and profile evidence.

Suspicion signals

🔥
Velocity spike
7 negative reviews in under 1 hour vs normal 2/week.
🧾
Customer no-match
0 of 7 reviewers found in uploaded records.
⚠️
Policy candidate
Spam/fake engagement, harassment/extortion, off-topic content.

Evidence Packet: Northstar Dental

Incident summary: Seven 1-star reviews appeared between 9:14–10:00 AM, lowering the location rating from 4.7 to 4.1. Reviews show repeated wording, off-topic claims, and no customer-record matches.

Policy categories to review

  • Spam / fake engagement
  • Harassment or extortion language
  • Off-topic or irrelevant content

Evidence included

  • Review URLs and timestamps
  • Reviewer display names/profile links
  • Rating impact screenshot placeholder
  • Customer-record no-match report
  • Timeline of suspicious activity

Important note

This packet does not guarantee removal. It organizes evidence for platform review and internal escalation.

Export options

In the real MVP, this becomes a markdown/PDF export and a checklist for Google’s review management flow.

Safe public response draft

We take all feedback seriously, but we are unable to match this review to any recent customer or appointment record based on the information provided. We have reported the review for platform review and would welcome any additional details at manager@northstardental.example so we can investigate appropriately.

Guardrails applied: no private info, no accusation, no legal claim, no admission of liability, offline contact path.

Review before posting

Privacy-safe
No patient/customer details disclosed.
Non-defamatory
Uses “unable to match,” not “fake reviewer.”
Compliant posture
No guarantee or threat.

Case tracker

9:14 AM
First suspicious review detected.
9:47 AM
Cluster crossed critical threshold.
10:04 AM
Evidence packet generated.
Next
Flag reviews in Google Reviews Management Tool and log case outcome.

Recommended next steps

  1. Preserve screenshots and URLs.
  2. Flag each review under the mapped policy category.
  3. Submit appeal if Google returns “no violation.”
  4. Post safe public reply if reviews remain visible.
  5. Notify client with concise incident summary.

MVP packaging hypothesis

Lead with agencies, because one buyer can bring dozens of locations and repeated incidents.

Agency Starter

$299/mo
Includes 25 monitored locations, alerts, incident grouping, and packet generation.

Emergency Packet

$249
One-time evidence packet for an active suspicious review incident.

Managed Escalation

$500+
Human-reviewed packet, owner updates, and escalation support.

Next step: validate with agencies.

Use this demo to ask whether evidence packets and attack detection are worth paying for before building the full Google integration.

Replay demo