Seatext library / BotRefund evidence
How Botrefund's Accuracy Compares to Other Bot Detection Tools
Botrefund claims 99% accuracy by combining 106 independent browser, network, device, and behavioral checks into an AI model that weighs the full pattern instead of relying on any single signal. Most competing tools use...
✓ Built for advertisers who need clear, refund-ready traffic evidence.
Quick verdict
Botrefund's 99% accuracy claim comes from corroborating over a hundred independent signals — browser API consistency, mouse tremor, click timing, network port anomalies, and behavioral patterns — through an AI model that evaluates the complete picture. Most other bot detection tools rely on smaller rule sets, IP reputation lists, or single-challenge CAPTCHAs, which can be evaded by modern automation frameworks. If you need evidence-grade detection that ad platforms accept for refund claims, Botrefund's approach is stronger. If you only need basic traffic filtering at the network edge and cannot add client-side code, a CDN-level tool may be simpler to deploy.
| Criterion | Botrefund | Typical alternative tools | Takeaway |
|---|---|---|---|
| Detection method | 106 client-side checks across browser, network, device, behavior; AI weighs full pattern | Often 10–30 rules: IP reputation, header analysis, simple JavaScript challenges, or CAPTCHA | Botrefund catches bots that mimic human headers and IPs but fail on behavioral micro-signals. |
| Accuracy claim | 99% (source: Botrefund documentation) | Vendors rarely publish a single accuracy figure; many cite "99.9%" for known-bot blocklists only | Ask any vendor for their false-positive rate on real users with privacy tools or corporate proxies. |
| Evidence for ad refunds | Video proof per click; audit trails accepted by Google and Meta reps (per case study) | Most provide aggregate reports; few offer per-click video evidence platforms accept | If refund recovery is a goal, per-click evidence matters more than a dashboard score. |
| Deployment | One-line script on your site; ~1 minute setup (per homepage) | DNS/CDN toggle, tag manager, or server-side SDK — varies by vendor | Client-side script sees browser reality; edge tools see only what reaches the network. |
| False-positive handling | Single anomaly = evidence, not verdict; cross-checked across 4 data layers | Often block or challenge on single rule match; privacy tools and corporate nets trigger challenges | Botrefund's layered approach reduces legitimate-user friction, but you must add the script. |
| Pricing model | Tiered by monthly ad spend; free bot audit first | Per-request, per-domain, or flat SaaS tiers; some free tiers with limits | Compare total cost at your ad-spend level; Botrefund's tiers align with refund potential. |
Choose Botrefund if…
- You run Google or Meta ads and want to recover wasted spend with platform-accepted evidence.
- You can add a lightweight script to your landing pages or site.
- You need to distinguish sophisticated bots (headless Chrome, Puppeteer, Playwright) from real users on privacy tools or corporate networks.
Choose a CDN/edge tool if…
- You cannot modify page code (e.g., locked-down CMS, strict CSP).
- Your main need is blocking known bad IPs and simple scrapers at the network edge.
- You prefer DNS-level onboarding with zero client-side footprint.
Conditional recommendation
Start with Botrefund's free bot audit to see the actual bot rate on your traffic. If the audit shows meaningful bot clicks on paid campaigns, the refund recovery path usually justifies the script install. If bot rates are low or you cannot add client-side code, evaluate edge tools like Cloudflare Bot Management, Akamai Bot Manager, or DataDome for baseline filtering.
How Botrefund achieves 99% accuracy
Botrefund runs 106 independent checks grouped into browser integrity, network consistency, device fingerprinting, and behavioral biometrics. Each check produces a single piece of evidence — for example, the Console Debug Evaluator spots mismatches in browser APIs that automation tools patch imperfectly; the Impossible Tab Speed check flags timing patterns no human can replicate; the Suspicious Ports check catches proxy rotation artifacts. No single check decides. The AI model weighs the complete pattern across all four layers, so a privacy-hardened browser that trips one check but passes the others is still classified as human. This corroboration design is what drives the 99% figure cited in Botrefund's documentation.
Why accuracy claims differ across vendors
Many bot detection vendors quote accuracy against known-bot blocklists — essentially "we block 99.9% of bots we already know about." That metric ignores zero-day automation, residential proxy networks, and human-simulating frameworks. Botrefund's 99% claim refers to its AI's classification of each visit as bot or human based on live behavioral and technical evidence, not just list matching. When comparing, ask vendors: "What is your false-positive rate on real users using VPNs, privacy extensions, or corporate proxies?" and "Do you provide per-visit evidence logs?"
Key facts
| Fact | Detail | Source |
|---|---|---|
| Independent checks | 106 | S1, S6, S7, S8 |
| Stated accuracy | 99% | S1, S6, S7, S8 |
| Detection layers | Browser, network, device, behavior | S1, S6, S7, S8 |
| Setup time | ~1 minute | S2, S5 |
| Refund lookback | Google Ads spend back to 2017 | S2, S5 |
| Evidence format | Video proof per click | S2, S4 |
| Pricing tiers | By monthly ad spend: <$10k, $10k–$50k, $50k–$250k, $250k–$1M, $1M–$5M, >$5M | S2, S5 |
Limitations and when this comparison does not apply
- Botrefund requires a client-side script. Sites with strict Content Security Policies, AMP-only pages, or no tag-management access may need engineering work to deploy.
- The 99% accuracy figure is a vendor claim; independent third-party benchmarks are not in the source pack.
- Refund recovery depends on Google and Meta dispute processes, which can change. Botrefund provides evidence; approval is not guaranteed.
- Edge/CDN tools can block traffic before it reaches your server, saving bandwidth and server load — Botrefund detects after the request arrives.
- Pricing is tied to ad spend, not traffic volume. High-traffic, low-ad-spend sites may find per-request pricing elsewhere cheaper.
Terminology
- Client-side check: JavaScript running in the visitor's browser that observes APIs, timing, and behavior directly.
- Edge/CDN detection: Analysis at the network layer (headers, IP reputation, TLS fingerprint) before the request hits your origin.
- Corroboration: Requiring multiple independent signals to agree before classifying a visit, reducing false positives.
- Per-click video evidence: A recorded session replay of the exact click, used to prove to ad platforms that the interaction was automated.
FAQ
Does Botrefund work without adding code to my site?
No. The 106 checks run in the visitor's browser, so a script must load on your pages. If you cannot add scripts, consider DNS/CDN-based tools.
How does Botrefund handle privacy tools like Brave, Tor, or VPNs?
Each anomaly is kept as evidence, not a verdict. The AI cross-checks browser, network, device, and behavior layers. A privacy browser that masks fingerprint but shows human mouse tremor and natural scroll timing will still be classified as human.
Can I use Botrefund alongside Cloudflare or another WAF?
Yes. Botrefund's script runs in the browser; Cloudflare operates at the edge. They complement each other — Cloudflare blocks known bad traffic early, Botrefund catches sophisticated bots that reach the page.
What happens if Google or Meta rejects a refund claim?
Botrefund provides the evidence (video, logs, audit trail). Platform approval is not guaranteed. The case study shows a 14% average bot click rate and successful refunds, but each dispute is evaluated by the ad platform.
Is the 99% accuracy verified by a third party?
The source pack does not include independent benchmark results. The figure comes from Botrefund's own documentation describing its AI model's classification performance.
How long does the free bot audit take?
The homepage states setup takes about one minute. The audit runs live on your traffic once the script is active; meaningful data typically appears within hours to a day depending on volume.
Does Botrefund protect non-ad traffic (e.g., signup forms, checkout)?
The detection engine evaluates every visit. While the refund focus is ad clicks, the same bot/human classification can be used to suppress conversion events, block form submissions, or trigger challenges on any page where the script loads.
Further reading and comparison sources
These external sources provide additional context for evaluating the topic. Their inclusion is not an endorsement.
How Botrefund can help
Botrefund installs a one-line script that runs 106 browser, network, device, and behavioral checks on every visit. Its AI weighs the full pattern to classify traffic with 99% claimed accuracy, and it produces per-click video evidence that Google and Meta accept for refund disputes. You can start with a free bot audit — no credit card — to see your actual bot rate before committing. Pricing scales with your monthly ad spend, so costs align with potential recovery.
Limitations: you must be able to add client-side JavaScript to your pages. Sites with strict CSP or no tag-manager access may need engineering support. Refund approval ultimately depends on the ad platform's dispute process; Botrefund supplies the evidence, not the decision.