Bot Detection

Bot detection software that sees what analytics can't

Separate real users from bots, scrapers and click fraud in real time — with detection built on 2 billion analysed clicks.

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At a glance

What is bot detection software?

Bot detection software identifies automated traffic and separates it from real human visitors in real time. It scores each visit or click on signals a browser and analytics tool can't see — device fingerprint, IP and network reputation, and behaviour — then lets you exclude the invalid traffic automatically.

It matters because the scale is large: across 2 billion clicks in the Opticks Ad Fraud Report 2025, invalid traffic ranged from 2.18% on search to 15.9% on native ads, and the large majority of detected bot activity was bad-bot traffic with no genuine intent.

Source: Opticks Ad Fraud Report 2025 — 2 billion clicks across 500+ advertisers and 243 territories, January 2025–March 2026.

How it works

How bot detection works

No single signal catches a modern bot. Effective bot detection scores many signals together on every request:

1

Device fingerprinting

Browser, OS, screen and hardware traits expose emulators, headless browsers and spoofed devices.

2

Network & IP analysis

Data-centre ranges, residential proxies and IP reputation flag traffic that hides its origin.

3

Behavioural analysis

Mouse movement, scroll, timing and navigation reveal scripts that don't act like people.

4

Machine learning

Models trained on known fraud across billions of clicks catch new patterns a static rule would miss.

Buyer's checklist

What to look for in bot detection tools

Strong bot detection

  • Real-time scoring, not just reports
  • Coverage across every channel
  • Low false positives for real users
  • Transparent, published methodology
  • Simple tag or firewall integration

Red flags

  • After-the-fact analytics only
  • Single-platform coverage
  • Aggressive blocking that loses customers
  • No data behind the claims
  • Heavy, slow integration

The benchmark

How much bot traffic is normal?

It depends on your channel mix. These are the benchmark invalid-traffic rates good bot detection should be measuring against:
Benchmark invalid-traffic rate by channel — Opticks Ad Fraud Report 2025, p.10
ChannelInvalid traffic rate
Native advertising15.9%
Programmatic / display15.43%
Social10.61%
Affiliate9.09%
SEM / Search2.18%

Put bot detection to work in 5 minutes

Opticks deploys a detection tag that scores every visit and click in real time, then prevents the invalid traffic from draining your budget.

Frequently Asked Questions