Analytics accuracy
Your traffic numbers are lying. Bots are why.
AI crawlers inflate your page views and waste ad spend. Centinel separates real visitors from bots.
40%+
of site visitors may be bots
Distorted
conversion rates from bot noise
Wasted
ad spend on non-human impressions
How Centinel solves this
Detect
Identify which crawlers are accessing your content, how often, and what they're targeting.
Decide
Block, allow, challenge, or monetize each crawler individually from your dashboard.
Protect
Edge-level enforcement in under 2ms. Real users pass through untouched.
Frequently asked questions
- How much of my analytics is bot traffic?
- Imperva's 2025 Bad Bot Report measured automated traffic at 51% of total web traffic in 2024, with 37% classified as bad bots. For content-heavy sites, AI crawlers alone can inflate pageviews on archive pages by 300% or more with zero corresponding subscriber activity. If your engagement-to-pageview ratio dropped without an editorial change, bots are the most likely explanation.
- Will Centinel clean my existing analytics data?
- We do not rewrite historical data. What we do: segment bot traffic out of your live pipeline from day one, so every dashboard and attribution model built on top of us sees verified humans. Most teams keep a pre-Centinel baseline for year-over-year comparisons and treat post-install numbers as the new source of truth.
- Does Centinel work with Google Analytics or Amplitude?
- Yes. Centinel sits at the request layer, before your analytics snippet fires. Requests that Centinel classifies as non-human never reach your measurement script, so bot pageviews are filtered at the source. No GA or Amplitude configuration changes required. Works the same for Mixpanel, Segment, PostHog, and any client-side beacon.
- Can I see which bots were filtered?
- Yes. Every blocked or flagged request is logged with its identified crawler, user agent, IP range, and detection signal. You can export the list as a CSV, query it via API, or cross-reference it against your analytics reports. The same data populates the Centinel dashboard so the analytics team can see exactly what used to be inflating their numbers.
- Does this affect real user performance?
- No. Detection runs at the edge in under 2ms, before your page renders. Real users hit the same origin they always hit, on the same latency they always had. The performance change, if any, is on the origin side: fewer bot requests mean lower server load and faster response times for humans. Flowlane measured a 78% drop in origin load after deploying Centinel.
Pick the next step that fits where you are
Demo, self-serve check, pricing, or a quiet email. Whichever maps to your stage.