VisibAI

Are you in AI answers? Find out and fix it in minutes

Marketing

SEO

Artificial Intelligence

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The hard part with a visibility score like this is LLM nondeterminism — ask ChatGPT the same recommendation query twice and you can get different brands back. Do you sample each query multiple times and average into the 0-100, or is it a single-shot snapshot? And are the six platforms hit through official APIs or logged-in scraping, since that changes whether the result matches what a real signed-in user actually sees.

The interesting part isn't the score, it's knowing what to do next and whether it actually worked. How do you decide which queries to test so they reflect real buyer behavior? And once a team implements the fixes, what's the feedback loop? AI visibility doesn't have a Search Console equivalent, so I'm curious how you help teams know they're actually improving. Congrats on the launch!

AEO is still very opaque for many people, so this tool seems like it could be quite helpful.

It honestly hadn't hit me how much people now ask an assistant before they ever open a search bar. Thanks a lot for this product Francesco!

This looks like a really fantastic product. I just filled out the detailed form to run an audi for my site but it immediately failed. See attached screenshot. I checked the console logs to see if there was any technical feedback but I don't see any. I still want to try your product because it sounds fantastic. Let me know if there is something I should do differently or if there is a way for me to share technical feedback like checking console logs.

Really like the framing here. The thing I keep running into with AI visibility is that "not showing up" almost always traces back to plain old ranking and authority. From what I've seen the answer engines mostly pull from pages already sitting in the top 20 for a query, so a page down at position 40 can be perfectly structured and still never get cited.

Does VisibAI separate those two cases? As in "you're invisible because your content isn't quotable" vs "you're invisible because you're not ranking high enough to be in the pool yet." The fix is completely different depending on which one it is, and that's the part I'd personally find most useful.

GEO is going to be as important as SEO was 10 years ago and most businesses haven't even started thinking about it. the multi-platform scoring across chatgpt, claude, perplexity etc is smart because your visibility can vary wildly between them. one model might recommend you and another might not even know you exist. curious how fast the fix recommendations actually move the needle. with traditional SEO you're waiting weeks for changes to reflect. how quickly do AI models pick up on changes you make to your site or content?

Smart idea. Which AI platform tends to show the widest visibility gaps for most businesses?

It looked promising, but after testing it and filling the entire form it gave me an “Audit failed” error, and I had to start all over again since the data entered in the form was not saved…

The 'are you in AI answers' question is one I've been thinking about a lot lately - SEO taught us to optimize for search engines, and now there's this whole new discovery layer in ChatGPT, Perplexity, Claude that most tools don't even measure. What sources does this check - just the big three, or does it also cover the AI integrations in search like Bing and Google AI overviews?

The competitor-citation angle is what makes this more than a vanity score for me — seeing who AI names instead of you points straight at the content gap. Since the six engines pull from different sources with different recency windows, do you surface which specific source got cited (a Reddit thread, a listicle, a competitor's page) so the fix list can target that, or is it focused on the on-site schema/llms.txt side?

The visibility gap in AI-generated answers is real and most brands have no idea they're invisible. Excited to see tooling for this, does VisibAI track citation sources across different LLMs or just ChatGPT/Perplexity?

the six-platform sweep is the right call - visibility on ChatGPT vs Perplexity vs Claude can look completely different because each pulls from different sources with different recency windows. a score of 60 on one and 20 on another tells you something specific and actionable. the part I'm most curious about: when you show "how to fix it" - is that primarily schema/llms.txt/content changes, or are you also surfacing the competitor citations that are showing up instead of you? knowing who's displacing you in AI answers is probably the most valuable signal for figuring out what content you're actually missing.

I like that this starts with a one-time audit instead of asking teams to commit to another monthly SEO tool. My main trust question is reproducibility: does the report show the exact prompts, platform, timestamp, and raw answers behind the score so a team can verify what changed after applying fixes?

Hey,
Congrats for the launch.

Quick feedback on my first test so far:

• 30% of my traffic is coming from GEO/AEO

• We've done quite extensive work on that and continue
  

But from what your app tell us: score 49/100

And everything is 0% , not passed, etc.
I don't believe that nothing can be found about us and we get 49/100 score. How is this related?

Like I literally didn't learn anything from it and will not be willing to go further or even paid for that yet.

Hope that's helping you guys improve!