About AiVis
Why AiVis exists
AiVis was created to answer a practical question: is your site structured clearly enough to be understood and reused by AI answer engines?
The problem behind the product
Traditional SEO reporting is useful, but it does not fully answer how a brand, product, or article becomes understandable inside AI-generated answers.
As more discovery flows move through ChatGPT, Claude, Perplexity, and Google AI answers, site owners need a way to judge whether their content and trust signals are legible to those systems.
AiVis starts with a practical audit instead of a giant all-in-one suite. The goal is to create a report teams can understand quickly, act on, and potentially revisit over time.
What comes after the first public version
The next commercial layer is expected to focus on recurring monitoring, multi-site workflows, competitor context, and client delivery support.
This first product release is the validation layer: it tests whether teams care enough about AI visibility to return, share reports, and pay for ongoing tracking.
What the current version is designed to do well
The product should show what contributes to the result so the output feels usable, not theatrical.
The report should help a team decide what to fix first, especially when time, technical bandwidth, or stakeholder attention are limited.
The language should still make sense if the person reading it is a founder, marketer, operator, or agency account lead.