How an honest publisher gets flagged after a bot attack—and clears the signal

A legitimate publisher can look fraudulent when bots flood a site, trigger ad requests, or imitate real referrals. The network sees abnormal volume and low-quality activity, but the publisher may have had no role in creating it. The mistake is treating the first flag as proof of intent.

Start with a clean incident record:
— Mark when the spike began and which pages, referrers, devices, and regions were involved.
— Separate direct, organic, paid, and partner traffic.
— Compare clicks, sessions, conversions, and post-click behavior instead of relying on one metric.

Preserve evidence before changing everything. Export server logs, analytics views, ad-platform reports, and referral data. Look for repeated user agents, impossible navigation paths, clustered IP ranges, sudden request bursts, and activity that never reaches meaningful page depth. Do not delete suspicious traffic; label and isolate it so the normal baseline remains visible.

When appealing, be specific: explain what was attacked, show the affected window, identify the blocked patterns, and list the controls added. Useful controls include rate limits, bot filtering, referral validation, traffic-source alerts, and a manual review queue for unusual partners. Avoid claiming certainty when the logs only support a probability.

A false flag is easier to resolve when intent, scope, and response are documented separately. Build that record before the next spike, not after a payout or account review is at risk.