Managing Reviews

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

• A competitor is posting fake reviews and news. Can ORM address competitor sabotage?

  Yes. Competitor sabotage is addressed through platform reporting, legal escalation where the merits exist, monitoring across the affected channels, and authoritative content that displaces the planted material.

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• How do reviews feed into AI-generated responses about your business?

  AI engines ingest review platforms as authoritative third-party evidence and paraphrase the recurring themes as 'customers say.' That makes review content directly material to what the engines tell people about you.

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

  Review management is the subset that works the review platforms specifically. Reputation management is the whole field: search, AI engines, Wikipedia, and entity signals across every channel that shapes how you are perceived.

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• How do you handle fake or malicious reviews?

  Report them through the platform process, escalate legally under defamation law where the harm and attribution justify it, and post a measured response that contextualizes the review for future readers.

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

  Flag them through Google's review process, pursue the source legally where attribution is possible, and accelerate authentic reviews fast. Coordinated fake-review attacks are containable but rarely removed quickly.

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