Seatext library / BotRefund evidence

How SeaText AI Detects Wasted Ad Budget in Your Campaigns

SeaText AI detects wasted ad budget by analyzing visitor behavior for bot signals, flagging invalid clicks, and building evidence you can use to claim refunds from Google and Meta. It runs 106 independent checks...

Built for advertisers who need clear, refund-ready traffic evidence.

SeaText AI detects wasted ad budget by analyzing every visitor's behavior for bot signals, flagging invalid clicks, and building evidence you can use to claim refunds from Google and Meta. It does this through a script that runs 106 independent checks on each session, looking for patterns that real humans rarely produce.

SeaText AI vs. manual detection vs. platform filters

CriteriaSeaText AIManual analysisPlatform-native filters
Detection method106 automated behavioral checks per sessionHuman review of analytics and server logsAutomated but limited to platform-side signals
Evidence qualityVideo proof, behavioral logs, exportable reportsSpreadsheets and screenshots, often incompleteMinimal evidence; platform decides
Refund supportStructured dossier for Google and Meta claimsManual form filling, no guidanceNo direct support; you file yourself
Setup timeAbout one minute, no credit cardHours to weeks of data collectionAlready built in, but ineffective
CostFree audit; paid plans based on spendInternal labor costsIncluded in ad spend
Best forAdvertisers who want proof and refundsSmall budgets with time to spareAdvertisers who trust platform defaults

SeaText AI fits advertisers who need actionable evidence and refund recovery. Manual analysis suits those with very low traffic and no budget pressure. Platform filters are a starting point but miss sophisticated bots. Check with the vendor for exact pricing and feature details.

The economic impact of ad fraud

Ad fraud is not a minor nuisance. It drains billions from digital advertising every year. For individual advertisers, bot clicks can steal up to 20% of Google and Meta ad budget. That means for every $10,000 spent, $2,000 may go to automated traffic that never converts.

This waste affects more than your bottom line. It skews your conversion data. You make decisions based on false signals. You might pause a winning ad set because bots inflated its cost per acquisition. Or you might scale a campaign that looks profitable but is actually full of fake leads.

The economic damage extends beyond direct spend. Sales teams waste hours on unreachable contacts. Marketing teams misallocate budgets. Agencies lose client trust. Over time, ad fraud distorts the entire digital marketplace.

Recovering that wasted budget is not just about refunds. It is about restoring the integrity of your performance data. When you remove invalid clicks, your metrics reflect real user behavior. That clarity improves every optimization decision you make.

How SeaText AI detects wasted ad budget: step-by-step

  1. Install the SeaText AI script on your website. It takes about one minute and requires no credit card.
  2. The script collects behavioral data from each visitor: mouse movements, click patterns, scroll behavior, session duration, and more.
  3. SeaText AI runs 106 independent checks on that data. Each check looks for a specific anomaly that separates human from automated behavior.
  4. When a session fails enough checks, SeaText AI flags it as suspicious and records the evidence.
  5. You can export a report with video proof and behavioral logs for each flagged session.
  6. Use that report to file a refund request with Google or Meta and recover your wasted spend.

The process is continuous. Every new visitor is evaluated in real time. You do not need to wait for a monthly report. The moment a bot clicks your ad and lands on your site, SeaText AI starts building a case against it.

The evolution of bot sophistication

Early bots were simple scripts. They requested a URL and moved on. They left obvious traces: no JavaScript execution, no mouse movement, and identical user agents. Basic filters could catch them.

Modern bots are far more advanced. Many use residential proxies. These are IP addresses from real households, so they look like genuine users. They run full browsers with realistic mouse movements and timing. They can even solve CAPTCHAs and interact with page elements.

This sophistication defeats traditional detection methods. IP blacklists fail because residential IPs change constantly. Device fingerprinting fails because bots can spoof hardware and browser properties. Behavioral analysis becomes the only reliable signal.

SeaText AI focuses on behavior because it is hard to fake. A human moves a mouse with natural tremor and hesitation. A bot moves in straight lines or snaps to grid coordinates. A human reads and pauses; a bot clicks instantly. These micro-patterns are the foundation of the 106 checks.

Even with residential proxies, bots cannot perfectly replicate human behavior. They may have superhuman speed, unnatural path patterns, or missing engagement. SeaText AI catches these anomalies.

The behavioral signals SeaText AI checks

SeaText AI looks for eight main categories of behavior:

  • Ghost clicks: Clicks that happen without the natural sequence of human intent.
  • Honeypot traps: Hidden elements that bots respond to but humans ignore.
  • Pointer behavior: Unnaturally straight mouse paths.
  • Motion behavior: Missing humanlike tremor and jitter.
  • Speed behavior: Interactions faster than a person could perform.
  • Path behavior: Movement that snaps to grid lines instead of curves.
  • Engagement behavior: Sessions with no clicks or scrolling.
  • Session behavior: Visit lengths that are too short, too long, or too uniform.

Each check is independent. A single anomaly does not prove a bot. But when multiple checks fail together, the probability of automation rises sharply. SeaText AI uses a weighted model to decide when a session is suspicious enough to flag.

This multi-layered approach reduces false positives. A real user with a corporate proxy might trigger one or two checks. A bot often triggers many. The system learns from patterns across millions of sessions, improving accuracy over time.

Key facts about SeaText AI detection

FactDetail
Number of checks106 independent checks per session
Detection signalsGhost clicks, honeypot traps, pointer, motion, speed, path, engagement, session behavior
Potential wasteBot clicks can steal up to 20% of Google and Meta ad budget
Setup timeAbout one minute to add to your website
Refund eligibilityRecover bot-click refunds from Google Ads dating back to 2017
SecurityISO 27001, ISO 27017, ISO 27018 certified

Google vs. Meta refund processes

Google and Meta have different refund procedures. Understanding these nuances is critical to recovering your money.

Google Ads allows refund requests for invalid clicks. You must file a manual appeal with the Click Quality team. The process requires a detailed form and supporting evidence. Google reviews your case and decides whether to issue credits. They accept claims for clicks dating back to 2017, but you need solid proof.

Meta's process is less formal. You typically contact your Meta representative or use the Ads Manager support channel. Meta may ask for evidence of invalid traffic. They are often less transparent about their review criteria. Approval rates vary, but a well-documented case improves your chances.

SeaText AI prepares evidence specifically for each platform. For Google, you get GCLID logs and behavioral proof. For Meta, you get session recordings and engagement data. The evidence dossier is organized to match what each platform expects.

One key difference: Google has a formal investigation form. Meta relies more on direct communication. SeaText AI's reports are designed to work in both contexts. You can export a PDF or share a link to the evidence dashboard.

Another nuance: Google may credit your account automatically for some invalid clicks, but they often miss sophisticated bots. Meta's automatic filters are even weaker. Manual claims are essential for recovering the full amount.

The evidence dossier concept

An evidence dossier is more than a list of flagged sessions. It is a structured case file that proves each invalid click. It includes video recordings, behavioral logs, timestamps, and the specific checks that failed.

Why does this matter? Ad platforms do not accept vague claims. They need concrete proof that a click was invalid. A dossier shows exactly why a session was flagged. It demonstrates that you used a systematic, reliable detection method.

SeaText AI builds this dossier automatically. For each flagged session, it records:

  • Video replay of the session
  • Mouse movement and click coordinates
  • Scroll behavior and page interactions
  • Session duration and timing
  • Which of the 106 checks failed
  • Device and browser information

You can review each entry before submitting. You can also filter by date, campaign, or platform. The dossier is exportable as a PDF or CSV, or you can share a secure link.

This evidence is what makes refund claims successful. Without it, you are relying on the platform's goodwill. With it, you have a factual case that is hard to dismiss.

The dossier also helps you internally. You can show your team exactly where budget is being wasted. You can identify patterns across campaigns and adjust your targeting to avoid bot-heavy placements.

How to verify SeaText AI is working

After installation, run a free bot audit. SeaText AI will show you flagged sessions and explain why each one was flagged. You can also export a report and send it to your Google or Meta rep to start a refund claim.

The audit is live. You can watch sessions as they are flagged. This transparency builds trust. You see the evidence before you act on it.

You can also set up alerts. SeaText AI can notify you when a high volume of suspicious sessions is detected. This helps you respond quickly to click fraud attacks.

Limitations and when it doesn't apply

Not every bad lead is a bot. Some real visitors may behave unusually due to privacy tools, corporate networks, or unusual devices. SeaText AI's checks are designed to avoid false positives, but no system is perfect. Recovery rates vary by traffic quality and available evidence. Also, SeaText AI focuses on detecting invalid traffic; it doesn't optimize your ad targeting or creative.

SeaText AI works best on websites with meaningful traffic. If you have very low volume, the statistical signals may be weaker. However, even a few bot clicks can be costly if your CPC is high.

It also requires JavaScript to run. If your site blocks scripts, the detection won't work. You need to ensure the script is installed correctly.

Finally, refunds are not guaranteed. Google and Meta have final say. But a strong evidence dossier significantly improves your odds.

FAQ

How long does it take to see results?

You can see flagged sessions immediately after installation. Refund processing depends on Google or Meta's review time.

Does SeaText AI work with both Google and Meta ads?

Yes, it detects bot clicks on both platforms and helps you claim refunds from both.

What evidence does SeaText AI provide?

It provides video proof, behavioral logs, and a detailed report for each flagged session.

Is SeaText AI easy to install?

Yes, it takes about one minute and requires no credit card for the free audit.

Can SeaText AI guarantee a refund?

No. Refund approval depends on the ad platform's review and the quality of your evidence.

How does SeaText AI handle residential proxies?

It uses behavioral checks that are difficult to fake, even with residential IPs. The 106 checks focus on human-like movement and interaction patterns.

What is the difference between Google and Meta refund processes?

Google has a formal investigation form and accepts claims back to 2017. Meta is less formal and relies on direct communication. SeaText AI prepares evidence for both.

Can I use SeaText AI with other ad platforms?

Currently, it focuses on Google and Meta. Check with the vendor for future platform support.

Further reading and comparison sources

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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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