Fraud Blocker is an AI-powered platform that blocks invalid ad traffic from bots, click farms, and AI agents, ensuring enterprises, marketers, and agencies pay only for real clicks and genuine leads. It uses AI agents trained on billions of clicks and IPs to identify sophisticated invalid traffic that traditional filters miss, then explains why each click or IP was blocked. This helps protect budgets, improve conversion quality, and reduce wasted ad spend.
Hey Product Hunt 👋 I'm Brandon, co-founder of Fraud Blocker with our CEO Mike Schrobo. Today we're thrilled to launch our new AI Detection engine.
Click fraud changed this year. Bots started clicking like real people, and as threats become more advanced, rules alone can only catch so much.
I've run paid media for years, and the worst feeling is paying for clicks you know aren't real. So we built the tool we wanted: AI that spots the fakes and explains every decision.
We're launching on Product Hunt because this community will tell us straight whether it holds up.
How AI Detection works
Learns from your account data and double-checks every ad click on top of our rules
A plain-language reason for every AI block, exportable for client reports
Blocks automatically on Google Ads and Meta Ads. On other ad channels like Microsoft ads, TikTok, LinkedIn, Reddit, ChatGPT, it detects and reports
Who it's for
Agencies showing clients what got blocked and why
Lead-gen teams tired of fake form fills
Advertisers on Google and Meta who want to know where the budget went
Behind it: we are a US-based business with 4,500 client accounts. 1 billion IPs analyzed annually. 500 million ad clicks analyzed annually.
Our ask: feedback and support. If you run paid traffic, what would an AI's reason need to show before you'd trust the block? And what should we build next?
Shoutout to @fraudblocker for building this. Thanks to @hnshah for hunting us, @rohanrecommends for all the help with product positioning + workshopping the launch assets and to the Product Hunt team and community.
Fraud Blocker launched on Product Hunt on October 28th, 2026 and earned 195 upvotes and 17 comments, placing #4 on the daily leaderboard. Fraud Blocker is an AI-powered platform that blocks invalid ad traffic from bots, click farms, and AI agents, ensuring enterprises, marketers, and agencies pay only for real clicks and genuine leads. It uses AI agents trained on billions of clicks and IPs to identify sophisticated invalid traffic that traditional filters miss, then explains why each click or IP was blocked. This helps protect budgets, improve conversion quality, and reduce wasted ad spend.
On the analytics side, Fraud Blocker competes within Advertising, Marketing automation and Security — topics that collectively have 37.2k followers on Product Hunt. The dashboard above tracks how Fraud Blocker performed against the three products that launched closest to it on the same day.
Who hunted Fraud Blocker?
Fraud Blocker was hunted by Hiten Shah. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Fraud Blocker including community comment highlights and product details, visit the product overview.
Hiten Shah
Hey Product Hunt 👋 I'm Brandon, co-founder of Fraud Blocker with our CEO Mike Schrobo. Today we're thrilled to launch our new AI Detection engine.
Click fraud changed this year. Bots started clicking like real people, and as threats become more advanced, rules alone can only catch so much.
I've run paid media for years, and the worst feeling is paying for clicks you know aren't real. So we built the tool we wanted: AI that spots the fakes and explains every decision.
We're launching on Product Hunt because this community will tell us straight whether it holds up.
How AI Detection works
Learns from your account data and double-checks every ad click on top of our rules
A plain-language reason for every AI block, exportable for client reports
Blocks automatically on Google Ads and Meta Ads. On other ad channels like Microsoft ads, TikTok, LinkedIn, Reddit, ChatGPT, it detects and reports
Who it's for
Agencies showing clients what got blocked and why
Lead-gen teams tired of fake form fills
Advertisers on Google and Meta who want to know where the budget went
Behind it: we are a US-based business with 4,500 client accounts. 1 billion IPs analyzed annually. 500 million ad clicks analyzed annually.
Walkthrough: [video link]
PH offer: 25% off any plan, valid until the end of 2026: https://fraudblocker.com/ai-detection
Our ask: feedback and support. If you run paid traffic, what would an AI's reason need to show before you'd trust the block? And what should we build next?
Shoutout to @fraudblocker for building this. Thanks to @hnshah for hunting us, @rohanrecommends for all the help with product positioning + workshopping the launch assets and to the Product Hunt team and community.
I'm here all day. Find us on X or LinkedIn.