Rankry
AI search analytics for brand visibility
I recently launched Rankry, an AI visibility analytics platform for brands.
The idea came from a simple problem: buyers are starting to ask AI tools what to buy, who to trust, and which brands to choose. But most companies still only measure Google rankings.
That creates a blind spot.
A brand can rank well in Google and still be invisible when ChatGPT, Claude, Gemini, Perplexity, or Grok gives recommendations.
Rankry helps measure that layer: whether AI recommends your brand, where you rank, which competitors show up, why models choose or skip you, and what to fix next.
I’m building this as a bootstrapped founder after leaving a CMO role, so the last few weeks have been a mix of product work, launch chaos, directory submissions, and trying to figure out distribution in a very noisy AI market.
The hardest part so far is not building the product.
It’s explaining why this matters before the market fully wakes up.
Happy to share more about the launch, positioning, or early lessons if anyone is working on AI search, SEO, or B2B SaaS distribution.
1 Comment
The “explaining why this matters before the market fully wakes up” part feels especially relevant here, given how early AI visibility still is as a category. Curious how Rankry has progressed since launch — has customer demand changed how you think about the problem?