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Building

Tamrivo

I'm building Tamrivo, an AI-search visibility platform that helps brands and agencies see where competitors appear in AI answers and identify evidence-based improvements.

The problem

Buyers increasingly ask AI assistants instead of search engines, and brands have no reliable way to see whether they — or their competitors — appear in those answers.

Who it's for

SEO, content and digital-marketing agencies first; B2B SaaS and direct-to-consumer marketing teams after that.

My role

Founder. I'm building the product while studying CSE (AI & ML) at MIT Academy of Engineering.

How it works

  1. 01

    Measure

    Sample the AI search answers for the prompts a brand cares about, and record who appears.

  2. 02

    Compare

    Line the brand up against its competitors across those answers.

  3. 03

    Diagnose

    Find where competitors are winning, and why the evidence points that way.

  4. 04

    Generate fix

    Turn the gaps into evidence-based improvements an agency can act on.

AI answers are probabilistic: Tamrivo reports observed visibility from sampled answers, and does not promise rankings, traffic or revenue. Still being built — no launch, customers or revenue are claimed here.

Interested in Tamrivo, or want to hear when it opens?