The measurement layer for AI search.

The five questions an AI works through before it recommends a store.

Measure. Diagnose. Prioritise. Prove.

Most stores have three groups that do not speak the same language. Marketing owns the story. IT builds the site. And the machines, meaning the AI engines that now decide who gets recommended, read neither one cleanly. The story never reaches a form a machine can understand. That gap is what Visibility Mesh closes. It connects your marketing story into a clean, machine readable mesh of structured data, so AI can read you, trust you, and quote you.

Founder Margareta Petrovic has spent her career on exactly that seam. She understands business issues and how to get them resolved by technical people while supporting the business objective. Her background is in cybersecurity and AI, built across various roles at Accenture, Wipro, and Tata Consultancy Services, architecting and implementing at large scale and running countless assessments and fixes. She is CISA and CISSP certified, CEO of Amaretta LLC, Chief AI Officer at DigitalXForce, and a member of the Forbes Business Council, where she leads the SEO group.

She also knows a report means nothing without the fix deployed. So Visibility Mesh never hands you a score and walks away. It shows you exactly what to fix, in what order, with the developer steps and the verification to ship it.

And it is field tested. Amaretta runs Luna Fashion House, a successful US ecommerce brand, so every method here is practical and cost efficient, proven on a store we actually run, not theory. We measure our own store with our own engine and publish our own score, in the open.