We keep the record of how AI sees your brand.

Search is becoming an answer. When a buyer asks an AI engine what to use or trust, a model names a few brands and moves on. Stellarcast exists to make sure yours is one of them - and to prove it.

Why we built it

Most brands have never read what AI says about them, and the models are sometimes confidently wrong - quoting stale pricing, missing the category, or naming a competitor instead. Traditional tools stop at a dashboard. Stellarcast closes the loop: it monitors whether you are cited across the major engines, diagnoses why you are missing, drafts the fix for you to approve, and then proves the lift with a causal record. Monitor, diagnose, execute, prove - continuously, not once.

The founder

Somya Goyal

Founder, Stellarcast

Somya founded Stellarcast after 15-plus years in quality engineering - eight of them at Accenture - where she owned quality for enterprise programs and built validation frameworks for AI systems. That background is the whole idea behind Stellarcast: treat AI visibility as something you measure, verify and prove, not something you guess at. She is building for global brand markets from India, and shares what she learns as she goes.

Connect on LinkedIn Hear her on the podcast

What we believe

Being cited by AI is the new being found. It is not the same as ranking - the overlap between a top Google position and an AI citation is small and shrinking - so it has to be measured on its own terms. Accuracy is now a ranking factor: if the facts about you are inconsistent across the web, a model's confidence drops and it reaches for a competitor it can describe cleanly. And the honest way to earn a place in the answer is to be clear, current and corroborated where models actually read. We practice that on our own site, in public, which is why this blog exists.