Free Click Fraud Detection for Google Ads

Google Ads Search Terms Fraud Analyzer

Upload your Google Ads Search Terms Report and get a detailed breakdown of suspicious traffic patterns in under a minute. ClickFraudLab analyzes search term anomalies, unusual impression behavior, and potential invalid traffic signals using transparent statistical methods. No opaque AI scoring and no registration required.
Your CSV file is processed temporarily to generate the report and is not permanently stored. The generated report is yours to download, keep, and review for free.

Before uploading, please make sure your export matches the required format for accurate analysis.
How to prepare the file →

Free tier limits: two free analyses per visit. Upload a second file immediately after the first using the button below your report. The limit resets after 7 days.

Not sure what to expect? See an example report →

Drop CSV file here

or browse

By submitting your file, you agree to the Terms & Conditions and Privacy Policy.

What the Search Terms Fraud Analyzer does

This tool reads your Google Ads Search Terms Report and looks for the kind of traffic that Google’s own filters let through. Google runs an enormous amount of automated filtering against invalid traffic on every click, and it catches most of the crude stuff. But a meaningful share of well prepared fraudulent activity still gets counted as real user clicks, and it leaves a trace in your search term data. The analyzer reads that trace.

It does this with plain statistics, not with an opaque AI score that hands you a number and asks you to trust it. Every flag it raises comes from a rule you can understand and check yourself. You upload a CSV, you wait under a minute, and you get a report that shows you where the suspicious volume sits and why it looks suspicious. No account, no signup, no card.

Why the Search Terms Report is the right place to look

When you run search ads, you choose keywords, but real people do not type your keywords. They type longer, shorter, sideways, sometimes full sentences dictated into voice search. Google matches those real queries to your keywords by intent, and the Search Terms Report is the one window where you see what people actually typed before they clicked. It is the closest thing you have to the real semantic behavior of your audience.

It is also where fraud has to show itself. Modern fraudulent sessions can imitate a human almost perfectly at the level of a single visit, the result of years of evolution in click fraud on Google Search. A clean fingerprint, a believable cookie history, smooth cursor movement, a natural scroll, sometimes a form submission with real looking data. At that level you often cannot tell a bot from a person. But to actually drain a budget, fraud needs volume, and volume deviates from the normal baseline for specific queries in a specific niche. That deviation is the part that cannot hide, and that is what this tool measures.

The three patterns it detects

The analyzer is deliberately focused. It checks for three anomaly types that survive Google’s standard filtering and stay visible inside your Search Terms Report.

1. Zombie phrases

Long queries, seven words or more. One real person can write a complex, detailed query. The chance of several different people writing the exact same long, specific query multiple times in a single day is essentially zero. When a phrase like that suddenly appears several times a day with no history behind it, that is not organic traffic. These queries were real at some point and are not anymore, which is why I call them zombies. They are easy to spot and easy to kill with negative keywords.

2. Isolated spikes

Low frequency queries that jump sharply in impressions over one or two days and then go quiet again. Normal audience behavior does not produce bursts like that without a cause. If there is no news event, no season, no campaign change behind the spike, it is a strong fraud signal, especially when that single burst accounts for most of the term’s weekly impressions with almost nothing on either side of it.

3. Volume blending into high frequency terms

The hardest pattern to catch by eye. High frequency queries show up many times a day and nobody finds that strange, so fraud tries to hide inside that noise. Even then it leaves a statistical trace: impression counts on otherwise stable terms climbing on specific days in a way that deviates from normal variance by more than two standard deviations. You cannot reliably see this by reading rows, but a Z-score check surfaces it.

There are other patterns I watch for in client work that I deliberately keep out of a public tool, because I would rather the people running this traffic not know exactly what is visible to me. These three are the ones worth checking first, and they are enough to tell you whether you have a problem at all.

What you get in the report

The report breaks down which search terms triggered each of the three checks, how far each one sits from its expected baseline, and which terms carry the most suspicious volume. It is built to answer one practical question quickly: is part of my budget quietly going somewhere it should not, and if so, where is it hiding. It will not show you the full scope of every invalid click you are paying for, because some of it hides inside the queries Google never shows you in the first place. It shows you the share that does, which is usually enough to know whether this is worth taking seriously in your niche.

How to run a free check

The whole thing takes about a minute.

First, export your Search Terms Report from Google Ads as a CSV. The export has to match the expected column format for the analysis to read it correctly, so check the preparation guide if you are not sure. Second, drop the file into the upload box above, or browse to it. Third, start the analysis and wait. It usually finishes in twenty to forty seconds. Fourth, read the report and download it if you want to keep it. It is yours.

You get two free analyses per visit. After your first report you can upload a second file straight away using the button below the result. The limit resets after seven days.

Why this approach is different

Most click fraud tools live on your website. They drop a JavaScript snippet on your landing page, watch behavior after the click has already happened, decide a visitor was a bot, and then block IPs or generate data for refund claims. By the time any of that fires, the click is bought and the money is gone. The best case is recovering a little of it after the fact.

I work from the other side, inside the ad platform, using only the levers it gives natively. The goal is not to identify a bot after it lands. The goal is to make sure as little budget as possible reaches fraud in the first place. This free analyzer is the diagnostic front end of that philosophy. It reads platform side data, your Search Terms Report, and tells you what is slipping through before you spend another dollar feeding it.

One honest caveat. You cannot eliminate click fraud. It exists, it adapts, and if you cut it off completely it just finds a new way in. The realistic target is managed suppression, keeping fraudulent spend low enough that it stops being a real financial problem. This tool is how you find out whether you are anywhere near that line.

Who this is for

This is built for advertisers running Google Search Ads in competitive service niches, the kind of markets where several companies fight for the same top positions and where draining a competitor’s budget is a known tactic. Legal, insurance and financial services, healthcare, B2B, anyone spending real money on search where a rival or a bot operator has a reason to attack the auction.

It is specifically for standard Search campaigns. If your traffic runs mostly through Local Services Ads, the pay per lead format with the green Google Guaranteed badge, this is not the right tool, because that traffic does not produce the Search Terms data this analysis depends on. Display, partner networks, and in app traffic are a different conversation with different signals. Here we are talking only about search.

Your file and your privacy

Your CSV is processed temporarily to generate the report and is not permanently stored. The report itself is yours to download, keep, and review for free. There is no account to create and nothing to sign, which also means there is nothing of yours sitting in a database afterward.

 

Frequently asked questions

Is the Search Terms Fraud Analyzer really free?

Yes. You get two analyses per visit with no account and no payment. The limit resets after seven days. The report is yours to download and keep.

Do I need to register or hand over my Google Ads account?

No. The tool never touches your account. You export your own Search Terms Report as a CSV and upload that single file. Nothing connects to Google on your behalf.

What happens to my uploaded file?

It is processed temporarily to produce your report and is not stored permanently. There is no signup, so there is no profile and no saved history tied to you.

How is this different from on site click fraud tools like the well known blockers?

On site tools place a script on your landing page and react after the click, usually by blocking IPs or filing for credits once the money is already spent. This tool reads platform side data, your Search Terms Report, to show you fraud that slipped through before you keep funding it. Different side of the problem, different point in time.

Will it catch every invalid click I am paying for?

No, and it does not pretend to. It detects three specific anomaly patterns that survive Google’s filtering and remain visible in the Search Terms Report. Some invalid traffic never reaches that report at all. What this shows you is the share that is detectable, which is usually enough to tell whether fraud is a real issue in your niche.

How many filters does Google already use against click fraud?

According to Google’s official Ad Traffic Quality material, the system uses more than two hundred filters operating in real time, with manual review added for cases automated systems cannot classify confidently. Those filters catch a lot. This tool exists for what they miss.

What are GIVT and SIVT?

GIVT, general invalid traffic, is identified from lists of known bots and routine checks. SIVT, sophisticated invalid traffic, needs deeper analysis and often human review. The distinction comes from the MRC industry standard and is used in Google’s own documentation. The traffic this tool looks for sits closer to the sophisticated end, which is exactly why it survives the simpler filters.

Does Google refund money lost to invalid clicks?

Not as cash. Google issues credits or adjusts charges. If invalid traffic is caught before an invoice is generated, the charge is reduced. If it is caught after, a credit appears on the next invoice. Automated invalid traffic checks generally cover the last sixty days, so retroactive corrections are possible only within that window.

Can I monitor invalid traffic in Google Ads myself?

Partly. You can add the Invalid clicks and Invalid click rate columns to your campaigns report and see what Google already caught. If your invalid click share is around ten percent your niche is in a moderate storm, and at twenty percent or more it is an aggressive fraud environment. What those columns do not show is the fraud that passed the filters, which is what this analyzer is built to surface.

What kind of campaigns is this for?

Standard Google Search campaigns in competitive service niches. It is not designed for Local Services Ads, which do not generate the Search Terms data this analysis relies on, and it does not cover Display, partner, or in app traffic.