Observed Signal · Oct 20, 2026 · Research Report · Source: AdExchanger · Impact: 4/5 · Sentiment: Negative
AI Slop Sites Rise: Ad Tech Faces New MFA Challenge
A new study by advertising supply chain intelligence company DecryptAds reveals over 2,100 AI-generated recipe websites that mimic made-for-advertising (MFA) sites, packed with ads and featuring fabricated author profiles with AI-generated avatars. The report highlights that these sites are monetized through programmatic supply chains involving SSPs and ad tech partners in "risky geos" like Russia, China, and Turkey, raising cybersecurity concerns. Major brands' ads appear on these sites. SSPs named in the report, including HBAgency, Ezoic, and MonetizeMore, responded with defenses of their vetting processes, while some disputed the findings. The article also discusses new Google Search policies that label fabricated creator profiles as deceptive, potentially affecting monetization.
This research highlights a growing problem of AI-generated MFA sites infiltrating programmatic supply chains, raising concerns about brand safety, ad fraud, and the effectiveness of current vetting processes. It underscores the need for improved transparency and enforcement within the ad tech ecosystem.
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Key Takeaways & Evidence Grounding
- DecryptAds uncovered over 2,100 AI-generated recipe sites monetized via programmatic ad tech.
- The sites feature fabricated author profiles with AI-generated avatars and are packed with ads to game viewability.
- SSPs mentioned include HBAgency, Ezoic, MonetizeMore, and others; HBAagency allegedly monetizes 1,631 of the sites.
- Google's new helpful content policy labels fabricated creator profiles as deceptive, signaling low quality.
- The study identified connections to ad tech companies in risky geos like Russia, China, Turkey, and UAE.
Connected Companies & Entities
3 Entities mapped“SSP flagged by DecryptAds as a monetization partner for 1,631 of the AI slop sites; responded to AdExchanger's inquiries.”
“SSP monetizing 407 of the AI recipe sites according to DecryptAds; defended its screening process.”
“SSP flagged for monetizing 11 of the AI slop sites; CEO Kean Graham said they are not actively running demand on them.”
Ontology Mapping & Concepts
Related Market Signals & Shifts
Recent verified developments and strategic activity across this market segment.
AI ‘girlfriend’ Ads Fuel New Wave of MFA Sites
Ad verification firm DoubleVerify warns that made-for-advertising (MFA) networks are using AI-generated "girlfriend" creatives and deep-fake video to drive clicks into search-arbitrage funnels that host low-quality, ad-stuffed pages. DoubleVerify reported these MFA networks drew more than 2 million visits per month in Q1 2026 and has labelled the tactic "DreamScheme." Intelligence platform Deepsee.io says its blocklist of MFA and "AI slop" domains more than doubled year-over-year to 243,853 domains. DoubleVerify and industry sources estimate revenue for a single network can reach the low hundreds of thousands of dollars annually and that the aggregate economic impact could be millions. Verifiers (DoubleVerify, IAS) and agencies (Crossmedia/Redbox) are refining detection tools and guidance (e.g., AI SlopStopper) to protect advertisers and catalogue offending domains and subdomains.
Advertisers Must Navigate AI-Driven MFA Content Risks
AI has accelerated made-for-advertising (MFA) content creation, pushing MFA from web ecosystems into social platforms such as TikTok, YouTube, and Meta. Generative AI enables rapid, low-cost production of thousands of videos designed to exploit algorithmic incentives, causing MFA to blend with authentic creator content and bypass early detection. For advertisers, MFA leads to wasted impressions, diminished engagement and brand lift, and increased brand-adjacency risk when ads appear alongside low-effort or misleading content. Platforms are testing detection and labeling of AI content, but the volume and speed of AI-driven output create ongoing challenges. The piece urges advertisers to verify placements beyond platform reports, define acceptable AI content with brand-safety partners, and use AI thoughtfully to preserve authenticity. Historically, programmatic advertising faced low-quality supply and opaque reporting; the current MFA wave risks similar erosion unless brands set clearer definitions and stronger verification, enabling a trusted AI-native social ecosystem.
MFA Ad Spend Rises; AI Slop May Be Factor
The ANA’s Q1 programmatic benchmark report (released May) found that the share of ANA members' ad spend going to made-for-advertising (MFA) sites rose from 0.6% in Q4 2025 to 1.1% in Q1 2026 — the first increase since 2023. The report highlights that lower-performing advertisers allocate a larger share to MFA (2.1%) versus top performers (0.9%). The ANA and industry experts point to “AI slop” — low-effort, mostly AI-generated content — as an emerging sub-type of low-quality inventory that requires ongoing mitigation. Publishers, SSPs and ad tech vendors (Index Exchange, Nexxen) say they use vetting, human audits, blocklists from vendors like Jounce and DeepSee, and onboarding delays for new sites to limit MFA monetization. Independent studies cited (Ahrefs, Graphite) suggest a rapid increase in AI-generated content online, complicating distinctions between legitimate AI-assisted publishing and spammy content farms.
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