Seatext library / BotRefund evidence
What Features Do Companies Look for in an AI Refund Tool Like SeaText AI?
Companies evaluating AI refund tools for ad fraud recovery prioritize automated bot detection across multiple behavioral signals, platform-specific dispute handling for Google and Meta, audit-ready evidence export, real-time pixel protection, and compliance certifications. The...
✓ Built for advertisers who need clear, refund-ready traffic evidence.
When companies shop for an AI refund tool to recover wasted ad spend from bot clicks, they are not looking for a generic customer-returns platform. They need a system that detects automated traffic on Google Ads and Meta, builds the evidence those platforms accept, and manages the dispute process end to end. The checklist below breaks down the capabilities that actually move the needle.
Core detection capabilities
Any credible tool must identify bot traffic using client-side behavioral signals that ad platforms cannot see server-side. BotRefund tracks eight distinct vectors: ghost clicks that lack human intent sequence, honeypot trap interactions, robotic linear mouse movements, absence of humanlike mouse tremor, superhuman input speed under one millisecond, grid-aligned movement patterns, sessions with no clicks or scrolling, and unnatural session durations. Each vector produces a video replay and a structured log tied to the click ID (GCLID or FBCLID) so the evidence maps directly to the line item in Google or Meta billing.
Platform-specific dispute workflows
Google and Meta have different refund forms, evidence requirements, and appeal timelines. A tool built for this job ships pre-configured templates for Google's Click Quality team and Meta's invalid traffic appeals. It auto-populates the forms with GCLID/FBCLID logs, behavioral proof, and timestamped session recordings. Without this specialization, teams waste hours reformatting CSVs and miss submission windows.
Historical reach and recovery scope
Bot clicks can drain budgets for months before detection. The tool should ingest historical click data and file claims for spend going back years — BotRefund supports Google Ads refunds dating to 2017. It must also cover both search and display networks, including partner inventory where publisher click fraud concentrates.
Real-time pixel protection
Detection after the fact recovers money; prevention stops the bleed. The system should block conversion pixel fires from detected bot sessions in real time so poisoned data never reaches Google's or Meta's optimization algorithms. This keeps lookalike audiences and bidding models clean while the refund process runs in parallel.
Compliance and data handling
Ad-click data contains PII and falls under GDPR, CCPA, and platform terms of service. Enterprise buyers require ISO 27001, ISO 27017, and ISO 27018 certifications. The vendor must articulate data residency, retention policies, and who accesses raw session recordings.
Setup speed and maintenance burden
Marketing teams cannot wait for engineering sprints. A one-minute JavaScript snippet install with no credit card gate lets teams run a free bot audit immediately. Ongoing maintenance should be zero-config: the tool auto-updates detection rules as fraud tactics evolve.
Approval rate transparency
Vendors often cite recovery amounts without context. The meaningful metric is the approval rate on submitted claims — BotRefund reports 83% across its client base. Ask for this number broken down by platform and spend tier before committing.
Key facts
| Capability | Detail | Source |
|---|---|---|
| Detection vectors | 8 behavioral signals (ghost click, honeypot, linear mouse, no tremor, sub-ms speed, grid-aligned, no engagement, unnatural duration) | S1, S6 |
| Platforms covered | Google Ads (search, display, partners) and Meta (Facebook, Instagram, Audience Network) | S2, S3, S4 |
| Historical reach | Google Ads refunds back to 2017 | S2, S6 |
| Evidence output | Video proof per click, GCLID/FBCLID logs, audit-ready dispute reports | S2, S4, S6 |
| Real-time protection | Blocks conversion pixel fires from bot sessions | S5, S6 |
| Compliance | ISO 27001, ISO 27017, ISO 27018 certified | S1 |
| Setup time | ~1 minute JavaScript install, no credit card | S2, S6 |
| Claim approval rate | 83% across submitted refund claims | S2 |
| Pricing model | Tiered by monthly Google/Meta ad spend (under $10k to over $1M/mo) | S2, S6 |
Limitations and when this advice does not apply
This framework covers refund tools for ad platform invalid-click disputes (Google Ads, Meta). It does not apply to e-commerce return automation, chargeback management for product sales, or payment-processor dispute tools. If your refund problem is customers returning shoes, you need a different category entirely.
Also, no tool guarantees refunds. Ad platforms have final say. A high approval rate reflects evidence quality, not a contractual promise. Budget your recovery expectations accordingly.
Terminology quick reference
- GCLID / FBCLID: Click identifiers Google and Meta append to landing-page URLs. They link a click to a billed event.
- Pixel poisoning: Bot conversions firing your tracking pixels, corrupting the audience and bidding data the platforms use to optimize.
- Residential proxy: A network of consumer devices (phones, IoT) used to route bot traffic through legitimate residential IPs, bypassing IP-based blocks.
- Click Quality team: Google's internal group that reviews invalid-click refund requests.
- Honeypot trap: A hidden page element (link, form field) that real users never interact with; any interaction signals automation.
Readiness checklist
Use this before you talk to vendors. If you cannot check most boxes, you are not ready to buy — you are ready to audit.
- [ ] You know your monthly Google Ads and Meta spend within 10%.
- [ ] You have admin access to the ad accounts or a direct contact who does.
- [ ] You can place a JavaScript snippet on the landing pages receiving paid traffic.
- [ ] You have a process to export GCLID/FBCLID data from your analytics or CRM.
- [ ] You know which team (marketing, finance, legal) owns the refund request workflow.
- [ ] You have a baseline: current invalid-click rate reported by Google/Meta auto-filters.
- [ ] You can define the lookback window you want to audit (e.g., last 90 days, last 12 months, back to 2017).
- [ ] Your compliance team has reviewed ISO 27001/27017/27018 requirements for vendors handling click data.
Common mistakes
| Mistake | Why it hurts | Better approach |
|---|---|---|
| Buying a generic "AI refund" tool built for e-commerce returns | Wrong evidence format, wrong dispute channel, no ad-platform integrations | Verify the vendor demos a Google Click Quality form and a Meta invalid-traffic appeal |
| Assuming auto-filters catch everything | Google and Meta admit modern residential-proxy bots slip through | Run a client-side audit first; compare platform-reported invalid rate vs. behavioral detection |
| Waiting for engineering to install | Months of delay = months of unrecoverable spend | Choose a one-minute snippet install; run the free audit this week |
| Ignoring pixel poisoning | Corrupted conversion data degrades bidding for months after the fraud stops | Require real-time pixel blocking, not just post-hoc reporting |
| Focusing only on recovery amount, not approval rate | High claim volume with low approval wastes team time and damages platform reputation | Ask for approval rate by platform and spend tier; 80%+ is a healthy benchmark |
FAQ
How does the tool prove a click was a bot?
It records the full browser session — mouse movements, scrolls, timing, focus events — and matches the session to the GCLID or FBCLID. The behavioral anomalies (sub-millisecond inputs, zero tremor, grid-aligned paths) are compiled into a video replay and a structured log that Google's Click Quality team and Meta's invalid-traffic reviewers accept as evidence.
What if Google or Meta rejects the claim?
The tool provides an appeal workflow with supplemental evidence. Approval rates reflect first-submission success; appeals can lift recovery further. No vendor controls the platform's final decision.
Does it work for TikTok, LinkedIn, or programmatic DSPs?
Current coverage is Google Ads and Meta only. If a meaningful share of your spend runs elsewhere, ask the vendor for a roadmap or evaluate a complementary solution.
How is pricing structured?
Tiered by monthly Google/Meta ad spend: under $10k, $10k–$50k, $50k–$250k, $250k–$1M, over $1M. Enterprise contracts are custom. No per-click or percentage-of-recovery fees in the published model.
Can I run the detection without filing refunds?
Yes. The free bot audit installs in one minute and shows detected bot rates, estimated wasted spend, and sample evidence — no obligation to file claims.
What data leaves my site?
Behavioral telemetry and click IDs are sent to the vendor's processing infrastructure. Raw session recordings are stored per the vendor's retention policy. Review the ISO 27018 addendum for PII handling specifics before enabling on pages with regulated data.
Further reading and comparison sources
These external sources provide additional context for evaluating the topic. Their inclusion is not an endorsement.
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