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PhishEye

Ad fraud detection

Ad fraud detection gives teams visibility into paid-channel impersonation and scam traffic paths so they can reduce conversion theft and customer harm.

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Concept view of monitoring and response workflows in PhishEye - replace with a product screenshot when available.

Paid channel abuse and PPC protection

Coverage areas

Domains, social, app stores (scoped to your program)

Delivery

Platform workflows + optional managed services

Outputs

Prioritized queues, evidence, takedown tracking

Coverage

Threat patterns programs typically monitor

Programs are tuned to your marks and channels; the list below reflects common categories teams prioritize.

  • Branded SERP poisoning campaigns

    High-intent branded queries (support, login, payment) where attackers outrank you with deceptive results.

  • Cloaked redirects (bot vs browser)

    Pages that show Googlebot a legitimate article and the real visitor a phishing portal or scam checkout.

  • Parasite SEO on hijacked subdomains

    Abandoned subdomains of trusted parent domains rehosting fraud content and inheriting the parent's ranking authority.

  • Competitor and impostor keyword bidding

    Paid-search abuse of brand terms — distinguishing legal competitor bidding from clear scam-ad fraud.

  • AI-generated lookalike support pages

    AI-spun FAQs and 'official help' articles that target long-tail queries to outrank slow-moving real pages.

  • Ad-chain and landing-page swaps

    Ad-tech chains, cloaking servers, and post-click landing rotations that let scam campaigns survive policy reviews.

Paid-channel abuse patterns to monitor

Common patterns include deceptive ad copy, fake support and checkout pages, unauthorized brand bidding, and campaigns that clone trust signals to capture clicks.

Illustration: ad fraud signals including deceptive copy, cloned trust cues, and risky destination pages.

Building defensible ad fraud evidence

Capture ad text, placement context, click destination behavior, and trademark references. Structured evidence helps with platform reports, legal follow-up, and repeat offender tracking.

Illustration: ad fraud evidence workflow from detection and capture through submission and outcome tracking.

How PPC protection links with search and domain controls

Ad fraud detection performs best when connected with keyword monitoring, search result protection, and domain takedown workflows, so one campaign is handled as one case.

Illustration: linked paid search, keyword, and domain workflows feeding one campaign case.

Protect revenue and customer trust

See how PhishEye centralizes detections, evidence, and takedowns so security, fraud, and brand teams share one operational picture.

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FAQs

Common questions

What ad fraud patterns are most common for brands?
Teams often see deceptive ad copy, fake support and checkout destinations, unauthorized brand bidding, and campaigns that mimic trust signals to capture clicks.
How does this relate to search result protection?
Ad fraud detection focuses paid-channel abuse, while search result protection covers broader SERP exposure. Most programs link both in one case workflow.
Can this support competitive PPC brand protection?
Yes, when it captures defensible context like ad text, placement behavior, destination evidence, and repeat-campaign patterns for enforcement and review.

Explore further

Related pages

Ready to scope a program for your marks and channels?

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