To ensure trust and authenticity, reviews must:

• Be authentic: written by someone who personally experienced your business.
• Be constructive: if critical, must offer helpful and respectful feedback.
• Be respectful: free from insults, profanity, or discrimination.
• Be fair: not written by your staff, family, or direct competitors.

Not Accepted: - Automated or AI-written reviews - Paid or mass-posted spam - Second-hand accounts (e.g., “my friend said”) - Biased content from personal or professional affiliations.

How We Verify This: While our long-term vision includes automated tools, at launch we will rely on:

• Manual moderation by our Trust & Safety Team when a review is flagged.
• Submission screening during moderation, including photo evidence, tone, and account behavior.
• Community reporting to catch suspected bias or spam.
• Review patterns checked against repeated or suspicious behavior.

Future Features (Planned Enhancements):

• Language Pattern Detection: Spotting AI-written or overly generic reviews.
• IP/Device Tracking: Identifying mass submissions or duplicate patterns.
• Reviewer Metadata: Capturing location, timestamps, and account age for added authenticity scoring.