Portfolio / SaaS, my own product
I do not talk about AI visibility. I measure it.
VisibAI is software I designed, built and brought to market myself. It checks whether and how AI assistants, among them ChatGPT, Perplexity, Claude, Gemini and Mistral, name a business when people ask questions about its industry. It is the technical foundation under everything I sell through BianchiWeb.
- Product
- AI visibility SaaS, built by me
- Coverage
- 57 countries, 25 languages
- Stack
- Next.js on Vercel
- Visit the site
- getvisibai.com
01 The problem
More and more customers arrive by way of an answer from ChatGPT or Perplexity, yet a company has no way of knowing what the assistants say about it. There is no Search Console for AI. Something had to ask the questions on users' behalf and measure what came back.
There was a personal reason too. If you sell websites optimised for AI, you need to be able to demonstrate how assistants choose their sources. I wanted my own data, not opinions picked up second hand.
02 What I built
VisibAI runs dozens of industry specific queries across several AI platforms and returns a readable report: where the brand shows up, where it does not, and who gets named instead.
- An audit engine that queries the assistants across 57 countries and 25 languages, with questions calibrated to each brand's sector.
- A per platform score, because the same question can produce wildly different answers on ChatGPT and on Gemini, and the report shows it.
- A complete production application on Next.js and Vercel: onboarding, free audit, paid plans, documentation and blog.
03 What changed
For BianchiWeb, VisibAI is the difference between claiming and showing. When I build a site, the decisions about content, structured data and llms.txt do not follow a trend. They follow what I watch working in audit data.
It is also the clearest evidence of what I can build: not brochures but production software, from database design to interface, maintained and developed on my own.