GEO Checker

A six dimension GEO audit is a clear way to see how visible a brand is in AI answers. Helpful for teams just starting with this.

We built GEO Checker after seeing clients struggle to understand why AI answer engines never quoted their sites. The audit is fully rules-based so results are reproducible - no black-box scores. It is free and needs no signup; happy to answer any questions about the six scoring dimensions.

The link is dead. I get a 404 error.

As a person working for SEO, I think this would be something I'd like to explore. As the world is moving towards AEO and GEO, this is the tool I need right now. I hope it has an extension.

Nice that the scoring is rules-based instead of an LLM verdict, so a fix shows up as a change in the score. Does the crawler check also flag pages that only render content with JavaScript? That's what I see blocking AI crawlers most often.

The rules-based score is the right call if a consultant has to defend the result, but the crawler check seems to stop at robots.txt allow or disallow. A bot can be allowed there and still get a WAF block, a noindex, or a login wall, and the grade would still look fine. Splitting 'declared allowed' from 'actually fetchable' (status code and content type on the HTML you already download) would make the 14-bot list honest. Answer-first content and AI comprehension also sound like they move together, so the 0-100 grade may double-count one signal. Showing the six raw subscores and the rule that fired would make the letter grade usable in a client report.

The six-dimension framing is useful. It would help to see which dimensions carry the most weight and whether each finding includes a concrete page-level fix, not just a score.

Good call to use rules-based scoring instead of an LLM, so results can be reproduced. For the AI crawler check, do you also parse per-bot rules in robots.txt (e.g. a GPTBot Disallow on a sub-path), or only whether the bot is fully allowed or blocked?

Rules based scoring instead of an LLM verdict is a good choice, since you can rerun it after a fix and see exactly what moved. One suggestion from looking at our own server logs: it helps to split training crawlers (GPTBot, CCBot) from user fetchers (ChatGPT-User, Perplexity-User) in the robots.txt check. Plenty of sites want to block the first group but keep the second, because a real person asked a question there.

The six-dimension framing is a clear way to make GEO concrete — most checkers I have seen only report crawler access. I like that the scoring is rules-based and reproducible instead of an LLM verdict, so a fix should show up as a real score change. Two questions: which dimensions carry the most weight in the 0–100 score, and do the recommendations point at specific pages or only site-wide fixes? Going to run my own site through it.