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Visby – Track and optimize AI search visibility

Site Title > coupon > PlugApp > Visby – Track and optimize AI search visibility
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Visby – Track and optimize AI search visibility


Hi AppSumo community 👋

I’m Berkay, co-founder of Visby AI and an entrepreneur building products in the digital marketing space. Earlier in my career I worked with global brands like Unilever and L’Oréal, and later founded startups focused on helping companies grow online.

For years, our team has been working closely with brands on Search Engine Optimization (SEO), and more recently on Generative Engine Optimization (GEO) and Answer Engine Optimization (AEO). Through this work we’ve developed strong domain expertise in digital visibility and how brands are discovered online.

Visby AI was created as a natural extension of that experience. Today, brands are no longer discovered only through traditional search engines — they are also discovered through AI systems like ChatGPT, Gemini, and Claude.

These systems recommend tools, compare products, and answer questions that influence real buying decisions. However, most companies have no visibility into how they are represented inside these AI-generated answers. We built Visby to help solve that.

Visby helps teams analyze, monitor, and improve their presence in AI answers. The platform tracks how AI models talk about your brand, products, and competitors, then helps teams monitor positioning over time and generate actionable tasks and content opportunities to strengthen their visibility.

Interestingly, many agencies have also started using Visby to offer AI visibility as a new service, helping them upsell to their clients!

We’re really excited to launch on AppSumo and connect with this community. Some amazing products have started here, and Sumo-lings are known for their honest feedback and thoughtful discussions.

We’re here to listen, improve the product together, and build Visby with the help of this community.

Thanks for checking us out — happy to answer any questions here :raised_hands:



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