KNWN

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  Dashboard

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  Analytics

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  Recommendations

Inspiration

We noticed that AI tools like ChatGPT and Perplexity were becoming major discovery channels for users, but there was no way for businesses to measure or improve their presence in those tools. That sparked the idea for KNWN.

What We Learned

We learned that traditional SEO doesn’t map 1:1 to AI visibility. Being ranked on Google doesn't mean you're mentioned in AI answers. It requires clean structure, clear messaging, and recognizable authority.

How We Built It

We built a pipeline that crawls websites, extracts structured content, and then prompts multiple AI models to test visibility. We score the results, identify gaps, and generate recommendations using a custom LLM framework. The product is built with Django and React, and designed to be usable by both marketers and developers.

Challenges

The biggest challenge was getting consistent, reliable visibility signals from AI models. Responses are dynamic, and context can drastically shift what AIs mention. We had to iterate heavily to design prompts and scoring systems that reflect true discoverability.

Built With

• chatgpt
• django
• openai
• react