Product Positioning & Context
VisibAI shows whether your business appears when people ask AI for recommendations, and helps you fix it. It runs queries across six AI platforms (ChatGPT, Perplexity, Claude, Gemini, Mistral, You.com), scores your visibility 0-100, reveals which competitors show up instead, and returns a prioritized fix list plus ready-to-ship fix files and a branded report. One-off audits or monthly tracking. White-label for agencies. EU-hosted and GDPR-native.
Related Ecosystem & Alternatives
Discover adjacent products, open-source repositories, and developer tools sharing similar technical architecture.
Deep-Dive FAQs
What is VisibAI?
VisibAI is a digital product or tool described as: Are you in AI answers? Find out and fix it in minutes
Where did VisibAI originate?
Data for VisibAI was aggregated directly from the Product Hunt community ecosystem, representing raw developer and early-adopter sentiment.
When was VisibAI publicly launched?
The initial public indexing or launch date for VisibAI within our tracked developer communities was recorded on June 29, 2026.
How popular is VisibAI?
VisibAI has achieved measurable traction, logging over 221 traction score and facilitating 44 recorded discussions or engagements.
Which technical categories define VisibAI?
Based on metadata extraction, VisibAI is categorized under topics such as: Marketing, SEO, Artificial Intelligence.
What are some commercial alternatives to VisibAI?
Our semantic intelligence engine identifies potential commercial alternatives in the SaaS space, such as Omi A11Y, which offers overlapping value propositions.
How does the creator describe VisibAI?
The original author or development team describes the product as follows: "VisibAI shows whether your business appears when people ask AI for recommendations, and helps you fix it. It runs queries across six AI platforms (ChatGPT, Perplexity, Claude, Gemini, Mistral, You...."
Community Voice & Feedback
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!
Nice work shipping this! What made you decide to build this now?
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.
Sounds interesting but my free test audit failed.
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?
Hi everyone 👋I'm Francesco, founder of VisibAI. I spent years selling SaaS across Europe and watched search behaviour move from Google to AI assistants.VisibAI tells you whether ChatGPT, Perplexity, Claude and other AI assistants recommend your business when someone asks for one. Then it shows you exactly how to improve.The problem: for years everyone optimised for Google. Now people open ChatGPT or Perplexity and just ask for a recommendation, and most businesses have no idea whether they show up in those answers.The solution: a score on its own does not help, so we give you the full benchmark. VisibAI runs automated queries across six AI platforms (ChatGPT, Perplexity, Claude, Gemini, Mistral, You.com) and shows you:a visibility score from 0 to 100how often you are mentioned or citedwhich competitors appear instead of youThen it tells you how to fix it: a prioritised fix list, ready-to-use fix files (robots.txt, schema, FAQ), and an AI action plan.The benefit: you stop guessing. You see where you stand against competitors in AI answers, and you get concrete steps to climb. Start with a free audit, run a one-off report with no subscription, or go monthly for ongoing tracking and competitor monitoring.Who it is for:Brands that want to be the name AI recommends in their categoryAgencies, who can white-label the whole platform under their own subdomain and brand, and run it for every clientYou can try it here: https://getvisibai.comBuilt in the EU and GDPR-native, which matters to a lot of the teams we work with.Happy to answer any questions 🙌
Discovery Source
Product Hunt Aggregated via automated community intelligence tracking.
Tech Stack Dependencies
No direct open-source NPM package mentions detected in the product documentation.
Media Tractions & Mentions
No mainstream media stories specifically mentioning this product name have been intercepted yet.
Deep Research & Science
No direct peer-reviewed scientific literature matched with this product's architecture.
SaaS Metrics
now we are a deterministic engine enterprise focused startup so I understand data reaching AI platforms would take time.. still askOdin.app get it's limited organic traffic from founders engagement via social platforms, maybe the traffic is lesser than most consumer startups, still I think the system wasnt able to pinpoint that either..
Still overall I liked the offering, thank you, keep bettering.. good wishes..