Launching today
Fraud Blocker
AI ad fraud protection for Google and Meta ads
144 followers
AI ad fraud protection for Google and Meta ads
144 followers
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.
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.
a plain-language reason for every blocked click is the bit that got me, "invalid traffic" with zero explantion is what makes clients stop trusting the report
if the AI blocks an IP that turns out to be a real buyer, can you whitelist it on the spot??? and does it learn from that or keep blocking similar ones???
Thanks @thamibenjelloun! We built it this way to address the lack of transparency. If a client sees "invalid traffic" but no explanation, they usually stop reading the report...
Regarding whitelisting: yes. If a block looks wrong, you can add that IP to your whitelist (or allow a whole range) under Customizations. It takes effect right away, and Google removes the exclusion the next time it syncs.
Regarding learning: before an AI flag turns into a block, it's cross-checked against our behavioral engine. That's our main guard against catching real buyers. We also have a Conversion tag you can use to allow anyone who meets your conversion criteria.
Thanks again for the question!
Explaining why a specific IP was blocked is the part I would actually read, since most ad fraud tools just hand you a percentage and leave you guessing whether the filter is worth its cost.
@karimbenkeroum I like it that their reports are quite detailed.
@karimbenkeroum thanks - that's the reaction we were hoping for! A fraud score on its own asks you to trust the tool, but pairing the score with a reason lets you check it and better clarity - ultimately, it helps you truly understand your traffic over time.