Brand guidelines do not enforce themselves. FeedGuardians applies your safety standards to every comment under every post — automatically, auditably, and at the scale of your entire brand footprint.
Every brand safety program locks down creative, copy, and media placement. But the one surface every visitor sees — the comment section underneath your posts — is typically left unmoderated. One hateful comment under a kids' brand ad is enough to blow up an entire campaign. FeedGuardians extends your brand safety framework into the comment layer, with full audit trails and policy enforcement at scale.
Creative runs through brand review, legal review, and compliance review. Then the comment section underneath turns into a minefield nobody is auditing.
Who hid which comment and why? When did it happen? What rule fired? Without a full audit log, you cannot prove compliance to internal or external auditors.
What the US team considers a policy violation, the EU team lets through. What the organic team blocks, the paid team allows. Brand safety should be one standard, not five.
Even if you catch and hide a bad comment 30 minutes later, someone has already screenshotted it. The screenshot outlives the comment. Speed to hide is brand protection.
Encode your brand safety policy into machine-readable rules: prohibited topics, regulated claims, competitor references, tone constraints, per-region requirements. Apply them universally across every account.
Every hidden comment is logged with the classification, the rule that fired, the confidence score, the timestamp, and the reviewer (if human). Exportable for internal audit and compliance reporting.
Different rule sets per region, per brand, per campaign. Apply GDPR-specific constraints in EU accounts, FTC disclosure rules in US accounts, regional language rules automatically.
Screenshot risk drops as response time drops. FeedGuardians hides flagged comments in under 2 seconds — fast enough that most viewers never see them.
Borderline or high-stakes comments route to your brand safety reviewers for human approval. The AI handles the obvious 95%, humans handle the important 5%.
Monthly brand safety reports showing policy violations caught, false positive rate, reviewer actions, and per-account compliance posture. Hand-off ready for audit committees.
Avg time to hide violation
Audit trail coverage
Policy enforcement
Continuous monitoring
Import your existing brand guidelines document or work with our team to translate your policy into machine-readable rules. Prohibited topics, regulated claims, regional requirements all captured.
Push the policy out to every Instagram, Facebook, TikTok, and YouTube account under management. One policy, every surface, every region.
Weekly and monthly compliance reports show policy coverage, violations caught, and reviewer accuracy. Refine rules over time to reduce false positives and close enforcement gaps.
Yes. FeedGuardians supports per-account rule sets, which means you can enforce GDPR-specific constraints in EU accounts, FTC disclosure rules in US accounts, and region-specific content rules in APAC accounts — all from one policy framework.
Yes. Every moderation action — whether AI or human — is logged with timestamp, classification, confidence score, the rule that fired, and any reviewer identity. The full log is exportable as CSV or JSON for internal audit, external audit, and regulatory compliance reviews.
Three layers: (1) automatic high-confidence moderation, (2) human approval queue for borderline cases, and (3) a weekly false-positive review where reviewers can unhide comments and retrain the model. False positive rate drops significantly after the first 2 weeks of training.
Yes. FeedGuardians is a comment-layer complement to traditional ad-placement brand safety vendors. IAS and DoubleVerify protect where your ad shows up. FeedGuardians protects what shows up underneath your ad. The two are complementary.
No — it scales them. Human brand safety reviewers handle the edge cases and final approvals. FeedGuardians handles the 95% of clear policy violations that would otherwise flood the queue. Most teams reduce moderation backlog from days to minutes.
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