Start here. If your robots.txt blocks GPTBot or PerplexityBot then nothing else you do matters, because the engines never see the page. This is the most common own goal we find, and it is usually one line someone added years ago for a different reason.

You want to know if a keyword even has an AI answer

AI Overview Checker

Tells you whether Google returns an AI Overview for a query and which sources it pulled. Worth running before you spend anything, because plenty of commercial keywords produce no AI Overview at all and are not worth optimising for.

You want to know whether AI recommends you

AI Visibility Checker

The broad one. Enter a domain and see whether the engines cite you, mention you or ignore you across the questions your buyers actually ask, with a confidence interval on the score.

You have a page and want it quotable

AI Citation Readiness Grader

Paste a page and get a score plus specific fixes. It checks the things that decide whether a model can lift your text: a direct answer near the top, clean structure, a visible date, a named author.

You need the technical files right

Robots.txt, llms.txt and Schema generators

Three generators that write the files correctly the first time, so you are not hand editing syntax you will only touch twice a year.

The order that works

Diagnose, fix, then measure

Most people run these in the wrong order and conclude the tools are broken. The sequence that actually gets somewhere is short and boring.

First, check access. Confirm the AI crawlers are allowed. A blocked bot explains every other bad number on this list, and no amount of content work fixes it.

Then check whether the answer even exists. Plenty of commercial searches never trigger an AI Overview. If yours does not, the fight is inside ChatGPT and Perplexity instead, and knowing that early saves you a quarter of wasted effort.

Then make one page quotable and measure it. Grade a page, apply the fixes, and re-run the visibility check a couple of weeks later. One page done properly teaches you more than twenty pages changed at once, because you can actually attribute the movement.

The one thing no free tool can do is tell you whether a change worked, because a single check cannot separate a real improvement from normal run to run variation. That needs repeated sampling over time, which is the paid product and the honest reason it exists. The methodology page explains exactly how that sampling works.

Questions

Before you start

Are these tools really free?

Yes, and there is no signup on any of them. They cost us real money to run, which is the honest reason the deeper monitoring is paid. Running a one off check should not require a sales call, so it does not.

What is the difference between the AI Overview Checker and the AI Visibility Checker?

The AI Overview Checker looks at one keyword on Google and tells you whether an AI Overview appears and who it cites. The AI Visibility Checker looks at your whole brand across five engines and many buyer questions. Use the first to test a specific query and the second to understand where you stand overall.

Do I need to install anything or add a tracking script?

No. Everything here works from your public site the same way an AI engine sees it. There is no pixel, no tag and no code change, which also means the result is what an outsider would get rather than a privileged view of your own data.

Why does the same check give slightly different results?

Because AI answers are generated fresh each time and genuinely vary run to run. That is why the visibility score is reported as a range rather than a single number, and why one check on its own cannot prove a change worked.

Want the whole picture instead?

The free check runs your brand across all five engines at once and gives you a score with a real confidence interval. No login, no card.

Run a free check