AdBotDetection.ai

How Ad Bot Detection protects your budget

We protect your ad budget by preventing first-click ad charges through real-time blocking at the edge network.

Why Edge Blocking is the ONLY Way.

Legacy web tools

Reactive detection & vulnerable

Too late
  • Click charges happen before your script sees the visit.
  • Bad traffic is already inside analytics, CAPI, and retargeting.
  • Optimization systems learn from polluted signals.

Ad Bot Detection

Proactive First-Click Blocking

Preventive Before billing
  • Stops suspicious traffic before the ad charge lands.
  • Keeps downstream reporting and attribution cleaner.
  • Protects campaign optimization from learning on bots.

How it Works for Techies

01

Traffic hits the edge first

We intercept inbound paid traffic at the edge before the request can contaminate your stack.

02

Edge infrastructure scores it

Request posture, heuristics, and trust signals are evaluated in real time against policy thresholds.

03

Invalid traffic is denied early

Suspicious clicks are blocked before they trigger spend, landing page execution, or noisy event ingestion.

The Interception Flow

1

Edge Interception

The incoming request is intercepted and normalized before it can reach the destination flow.

Edge interception flow diagram
2

Heuristic Analysis

Behavioral and infrastructure-level signals are evaluated against the fraud model and current policy state.

Heuristic analysis diagram
3

Threshold Evaluation

We compare the score to the configured threshold to determine whether the click should pass or be rejected.

Threshold evaluation diagram
4

First-Click Blocking

The invalid request is blocked before billing and before the destination page or event stack is touched.

First-click blocking diagram

Built for Scale and Speed

1

Edge-based enforcement

Stops invalid traffic before it gets expensive.

2

Fast analysis path

Designed for high-volume paid traffic and near-instant decisions.

3

Cleaner optimization inputs

Reduces contamination in attribution and learning systems.

4

Low operational overhead

Enforcement stays at the infrastructure boundary instead of your app.

Frequently asked questions

Where is the "Second Pixel" or script installed?

The goal is to intercept the paid click before your destination flow becomes the enforcement boundary, not after.

How much of my budget is realistically wasted on bots?

Based on our audits for founders spending $50k-$100k+, the average bot traffic leakage is roughly 37%. For high-scale advertisers, this often translates to $25,000 to $74,000 in monthly savings once the bots are removed.

How does your system stop sophisticated “human-mimicking” bots?

Standard filters catch basic bots, but modern scripts simulate scrolling and mouse movements. Our engine uses behavioral analysis to distinguish between these simulations and genuine human intent.

Will installing the script slow down my landing page?

No. The enforcement layer is designed to act before page rendering becomes the bottleneck, so the destination experience stays fast.

Where is the Custom Ad Bot Audit and Test for?

We focus on high-growth teams spending materially on paid media and relying on accurate attribution for decisions.

What exactly happens on the 30-minute Audit Call?

We review traffic risks, show likely leakage points, and outline whether packet-level enforcement fits your ad, site, and DNS architecture.

High-spend teams only • $100K+/month minimum. Book the Bot-Stopping Call

The State of Ad Fraud 2025 report cover

Data-backed audits

Do you know there are on average 37% bots in your traffic? Some clients as high as 90%.

We’ll sample your ad traffic and quantify how much spend, attribution quality, and optimization integrity are at risk right now.

Check Your Ad Traffic Quality Now

Stop paying for fake clicks before they corrupt your data.

Book the Bot-Stopping Call
High-spend teams only $100K+/month minimum

We will do a quick demo and set up a test, to analyze your Ads Traffic