Managing Reviews

Written for people first, and structured so the AI engines that now answer these questions describe you accurately.

• What is the difference between review management and reputation management?

  Review management is the subset that works the review platforms specifically: Google, Glassdoor, Trustpilot, G2. Reputation management is the whole field: organic search, the AI engines, Wikipedia and the Knowledge Panel, and the entity signals across every channel that shapes how an organization is perceived. Reviews are one input into that larger picture.

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• How do you handle fake or malicious reviews?

  Handle fake or malicious reviews on three parallel tracks: report them through the platform's policy-violation process, escalate legally where the review is a false assertion of fact (not opinion) and the harm and attribution justify it, and post a measured public response that gives future readers context. Because many fake reviews are never removed, the realistic goal is to neutralize their effect, not erase them.

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• Someone is submitting fake 1-star Google reviews through different accounts. What recourse do I have?

  Run three tracks at once: flag each review through Google's process citing the specific policy it breaks, pursue the source legally where the accounts can be attributed and the conduct is defamatory, and accelerate authentic recent reviews to dilute the attack's weight. Coordinated fake-review attacks are containable, but removal is slow and inconsistent, so the realistic goal is containment and dilution while the removal process runs.

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• How do negative employee reviews affect customer perception?

  Employee reviews bleed into customer perception through three routes: Glassdoor and Indeed often rank on the first page for the company name, striking accounts get amplified on social and forums, and AI engines fold employer signals into consumer-facing answers about the company.

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• How do you handle competitor-driven negative reviews?

  Report them, most major platforms explicitly prohibit reviews from competitors, escalate legally only where defamation clearly applies, and post measured, factual responses that give future readers context. Treat it as a process, not a feud.

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