Launched this week
VisibAI
Are you in AI answers? Find out and fix it in minutes
405 followers
Are you in AI answers? Find out and fix it in minutes
405 followers
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.
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?
VisibAI
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?
VisibAI
@omri_ben_shoham1
Spot on, this layer sits on top of SEO where nobody's measuring.
We cover six engines directly: ChatGPT, Perplexity, Claude, Gemini, Mistral and You.com (Perplexity and You.com retrieve live, closest to that search-plus-AI surface). Google AI Overviews and Bing/Copilot pull differently, so I'm not claiming them until I can measure them properly, both are on the roadmap.
Have you already run your free audit on https://getvisibai.com ? If you'd like a multi-platform audit or a competitor comparison, I'd be happy to set you up with a one month trial.
Smart idea. Which AI platform tends to show the widest visibility gaps for most businesses?
VisibAI
@dhiraj_patel5 Thanks for your question =)
Perplexity and Google's AI tend to show the widest gaps.
They lean on fresh, citation-heavy sources, so if your content isn't structured to be cited, you drop out fast. ChatGPT is more forgiving because it leans on broader trained knowledge, so a brand can look fine there and be near invisible on the engines pulling live sources.
That split is exactly why the per-platform view matters more than one blended score.
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?
VisibAI
@shubham4real Love the SEO parallel, that's exactly the bet.
Two speeds on the fixes: technical changes (schema, llms.txt, crawler access) show up in days to weeks on the grounded engines that retrieve live, like Perplexity and Google AI.
The base ChatGPT/Claude models only shift when they retrain, so that side is slow.
The bigger lever, getting cited in the sources they pull from (Reddit, G2, listicles), is a slower build but it's what sticks. We re-scan over time so you see which change moved which engine, instead of guessing.
VisibAI
LottieFiles
checking visibility across six AI engines is smart, the answers diverge way more than people expect. is the fix list stuff you ship to your site, or mostly content nudges?
VisibAI
For me the most useful nugget here is the split Francesco gave Henry: grounded engines biting on ranking, memory-mode engines on brand presence. My audience is German-speaking, and I keep wondering if that diagnosis holds when queries are in German or country-scoped. Does the grounded/memory split shift noticeably across languages, or is it pretty universal?
VisibAI