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

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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.

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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?

Maker
The split is universal, it’s about how each engine gets its answer, not the language. What changes in German is which side matters more. For the memory-based engines (the normal ChatGPT/Claude models), the gap usually gets bigger. They’re trained mostly on English, so a brand that’s well known in English can show up weaker, or not at all, when you ask in German. For the live-search engines (Perplexity, Google’s AI), there’s usually less German content competing, so your presence in German sources counts more. And here's the key part: even in the same country, the language of the question changes the answer. Ask in English and ask in German from the same place, and you can get a different set of brands back. So don't assume your English visibility carries over, run your audit in German and for your country. The English version will make you look better than you really are.

being in AI answers is the new seo honestly, love the 0-100 score 📈 how often does it re-scan?

Maker

Hi  

Thanks, glad the score lands! 📈 Re-scan frequency depends on your plan, monitoring kicks in on the higher tiers so you see your trend over time and catch when an engine starts or stops recommending you. You can also run a fresh audit manually anytime you ship a change and want to check the impact.

Just let me know if you need more precise data

How do you keep the results stable enough to score 0 to 100 when model answers can vary a lot day to day?

Maker

 Good question.

A single answer swings, so the score is an aggregate, not one reading. Every audit runs a fixed 26 questions across 6 engines, so it pools roughly 150 answers: individual ones flip, the mention and citation rates hold. Much of the score is also structural (entity authority, citations, indexing, schema), which barely moves day to day and anchors the number. And we gate any engine that under-answers on a given day so it does not distort the pooled result.

We treat it as a trend and a competitor-relative measure, so what matters is your movement over time, not an absolute to the decimal.

Seeing swings on a specific brand? Happy to dig in.

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