21 Interest Score
13 Discussions
0.62 Engagement
Nov 2025 Launched

Visibility by Causo measures how AI systems understand your company. It runs structured scans through ChatGPT, Claude, Gemini, and Perplexity to show what each model knows about your startup, where gaps exist, and how to fix them.

What the Community Said

Fantastic approach – products like this absolutely deserve early support!

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The AI Visibility Checker runs a structured audit through OpenAI, Anthropic, Gemini, and Perplexity APIs. Each model is asked controlled questions about your startup’s identity, category, and value proposition. We analyze responses for accuracy, context, and consistency, then generate a detailed visibility report. This is a small preview of how Causo maps and understands companies to power fully autonomous outbound campaigns.

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Visibility used to mean SEO and backlinks. Now it means how AI systems understand your company. Investors and customers already ask AI tools to find or compare startups. If those systems misread your product, your visibility is broken - even if your website may be fully readable to humans. The AI Visibility Checker shows what each model gets right, what it misses, and how to fix it. It is free, fast, and based on the enrichment logic we are developing inside Causo. We built it so founders can me

— [REDACTED]

For years, founders have optimized for Google. But the front door to discovery is shifting to AI. We built the AI Visibility Checker to answer one simple question: Can AI correctly explain what your startup does? It runs a multi-model scan across ChatGPT, Claude, Gemini, and Perplexity to see how visible and consistent your company identity is. This tool shows how AI perceives your brand before anyone else does. It is also a first glimpse of what we are building at Causo.ai , an AI co-founder th

— [REDACTED]

Simple, smart and it works. Well done guys, keep building!

— [REDACTED]

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Frequently Asked Questions

Categories come from the product's launch tags. Most products appear in 2-3 categories. The primary category is listed first.

The scores reflect launch-period engagement. Historical data is preserved and doesn't change retroactively. The build date at the bottom shows when the index was last refreshed.

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A measure of community engagement at launch. Higher means more people noticed and interacted with the product. It's a traction signal, not a quality rating.

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