Seatext library / BotRefund evidence
What to Do After Receiving a Free Bot Audit Report
Your free bot audit report is a starting point, not a final verdict. Start by reading the evidence, separate real bot signals from one-off anomalies, fix the highest-impact issues, and then set up protection...
✓ Built for advertisers who need clear, refund-ready traffic evidence.
Your free bot audit report gives you a list of suspicious traffic signals, not a finished diagnosis. The next step is to turn that evidence into action. Here is a practical sequence: review the report carefully, decide which findings matter most to your business, fix the issues you can control, and then set up ongoing protection so the same bot patterns do not come back. If you run paid ads, the report also becomes the foundation for a refund claim.
What a Free Bot Audit Report Really Shows
A free bot audit is a snapshot. It looks at a period of time — usually a few days or a week — and applies detection checks to every visit. The report lists the signals that match known bot behavior, such as ghost clicks, robotic mouse movements, or missing natural tremor. The audit doesn't prove that every flagged session is a bot; it gives you evidence to investigate.
BotRefund uses 106 independent checks, including CPU concurrency and window.open tampering, to build a picture of whether a visit is human or automated. No single red flag is a verdict. The report treats each signal as a clue, then cross-checks it against other browser, network, device, and behavior data.
That’s why your first job is to read the report as a list of hypotheses, not a confirmed list of attacks.
Step 1: Review the Evidence (Not Just the Verdict)
Look at the specific signals the report flagged. For each one, ask:
- Does this signal appear alone, or are several independent checks pointing to the same visit?
- Is the behavior impossible for a human (for example, a click in under 1 millisecond)?
- Are there multiple visits with the exact same pattern, or is it a one-off?
A single anomaly from a corporate network or a privacy browser could explain a genuine person. But when five or six checks agree, the evidence is stronger.
The CPU Concurrency Lie check looks for a mismatch between the hardware a browser claims and what its behavior actually shows. That kind of signal is not something a real user typically produces.
Step 2: Separate Bot Clues from Genuine Visitors
Not every bad lead is a bot, and not every bot click is fraud. A weak campaign can attract real people who simply aren’t ready to buy. Bot traffic and form spam tend to leave repeatable technical patterns.
Look for patterns like these:
- Unusually fast form completion (under 2 seconds)
- Identical field structures across many submissions
- Sudden placement-level spikes on one ad set
- Conversion events with no page scrolling or interaction
- Sessions that stay static for too long or never move the mouse
The audit report should flag these behavior signals. Your task is to compare them against your own analytics and CRM data. If the flagged sessions produce no calls, no demos, and no follow-up engagement, that’s a good sign the bot is real.
Step 3: Prioritize the Risks That Affect Your Bottom Line
Not all bot traffic hurts the same way. Prioritize based on what it costs you.
- If you run Google or Meta ads, bot clicks may be eating 20% of your budget. That’s a direct revenue loss and a refund opportunity.
- If you have a lead form, fake submissions waste sales time and pollute your CRM.
- If you rely on conversion data to train ad algorithms, bot-generated conversions poison your pixel and make your optimization worse.
Fix the highest-cost items first. If your ad spend is above $10,000 a month, a refund claim could be worth real money. If you’re below that, focus on blocking the behavior so it doesn’t scale.
Step 4: Put Bot Protection on Your Website
A free audit tells you about the past. Protection stops future damage.
Add a bot detection and blocking script to your site. The best tools run in the browser and collect behavioral evidence in real time. They won’t just block obvious IPs; they’ll flag sessions that mimic humans with AI or residential proxy networks.
BotRefund claims you can add protection in about one minute, with no credit card required. After installation, the system continues to record the same detection checks your audit used, so you get a constant stream of evidence.
Make sure the protection you choose covers:
- Ghost clicks (clicks with no natural user sequence)
- Robotic linear mouse movements
- Absence of humanlike tremor
- Superhuman input speed (under 1ms)
- Grid-aligned movement patterns
- Zero engagement (no scrolling or clicking)
These are the behaviors that separate bots from people.
Step 5: Use the Report for Ad Refund Claims
If your audit shows bot clicks on your Google or Meta ads, you can file a refund dispute. Google and Meta have processes for invalid traffic, but they require proof.
The report you received is your evidence log. You’ll need to document each invalid click with:
- Click ID (GCLID for Google, FBCLID for Meta)
- Timestamp and placement
- Behavioral signals that prove automation
BotRefund generates refund dispute reports that include client-side proof logs. You can send those directly to Google’s Click Quality team or Meta’s traffic quality team. Refunds can go back as far as several years, depending on the platform.
A case study in BotRefund’s materials shows a neobank that recovered $140,000 and cut its average bot click rate to 14%, while increasing conversion rate by 18%. That’s the kind of outcome a well-documented refund claim can deliver.
Step 6: Schedule a Re-Audit and Ongoing Monitoring
A free audit is a point-in-time check. Bot operators change tactics constantly. What works today may be blocked tomorrow.
Plan to re-run an audit:
- Once a quarter, if your traffic is steady
- Immediately after a big campaign launch
- After any major website redesign
- If you notice sudden traffic spikes or a drop in conversion rate
You should also keep an eye on your own analytics. A sudden rise in bounce rate, a spike in server load, or a jump in failed login attempts may mean new bot activity.
The best approach is continuous protection with periodic deep audits to verify the system is still effective.
Key Facts About Bot Audits
| Metric | What the source says |
|---|---|
| Percentage of ad budget stolen by bot clicks | Up to 20% of Google and Meta ad budget |
| Bot detection checks | 106 independent checks |
| Claimed accuracy | 99% accuracy |
| Setup time for protection | About one minute |
| Refund claim coverage | Refunds from Google Ads spend dating back to 2017 |
| Example recovery | $140,000 recovered for a neobank, with bot click rate at 14% |
These figures come from BotRefund’s public materials. Your own results will depend on your traffic volume, ad spend, and the severity of the problem.
Limitations of a Free Bot Audit
A free audit is a starting point, not a complete fraud investigation. Here’s what it won’t give you:
- Real-time blocking: The audit identifies past behavior; it doesn’t stop new bots from arriving.
- Detailed refund claims: The audit gives you a report, but you still need to compile the click-level proof and file the dispute yourself or with help.
- Coverage of every scenario: No test can catch everything. Privacy tools, corporate networks, and unusual devices can occasionally produce false positives.
- A guarantee of recovery: Even with solid evidence, the ad platform decides whether to approve a refund. Approval rates vary.
Also, the report can’t tell you why the bots visited. It could be a competitor, a scraper, or a coordinated fraud network. That’s fine—you don’t need the motive to block them.
FAQ: Common Questions After a Bot Audit
How do I know if the audit report is accurate?
Look for multiple independent signals on the same visit. A single anomaly is weak evidence; five or six matching checks are much stronger. If the report explains its methodology, that’s a good sign.
Can I use the audit to request a refund from Google or Meta?
Yes. The audit report serves as evidence. You’ll need to export click IDs and behavioral logs, then submit a formal dispute. Some tools, like BotRefund, generate the refund-ready report for you.
What if the audit finds no bots? Does that mean I’m safe?
No. A clean audit may mean the bots weren’t active during the sample period, or the detection methods weren’t sensitive enough. Re-run the audit regularly, especially after traffic changes.
How much does it cost to fix the problem after a free audit?
That depends. If you only need to block obvious bot traffic, some free browser-based protections exist. But for ongoing, sophisticated detection, you’ll likely need a paid service. BotRefund has pricing tiers starting under $10,000 a month for enterprise solutions, but they also offer a free audit and a free script install to get started.
Should I stop my ads while I fix the issue?
Not necessarily. Stop spending on placements or campaigns that show heavy bot traffic, but keep the rest running. Use the audit to identify the worst sources, then pause those.
How often should I run a bot audit?
At least quarterly, and right after major changes to your site or campaigns. If you see unusual patterns, run one sooner.
Does the free audit cover my entire site or just one page?
Typically, the audit covers the pages you give it access to. For a full picture, you may need to install a script that observes all pages over time.
Turn the Report into Real Protection
A free bot audit gives you a valuable starting point, but the real work begins now. Use the evidence to clean up your traffic, block the bots, and potentially recover wasted ad spend. Then keep watching. Bot threats evolve, and your defenses need to evolve with them.
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