About Us
Kelsey is built around action, not a fake AI visibility score.
I started building Kelsey in 2025 and launched it in early 2026 after watching companies losing traffic and losing buyers before they even reached Google or a landing page.
Product discovery is changing. Buyers are asking ChatGPT, Gemini, Claude, Perplexity and other AI search tools what to buy. And companies need to adjust and build a strategy around this before competitors do.
Why Kelsey
Kelsey isn't like other AI search tools. We don't focus on a fake "AI visibility score." Kelsey is built around action so you can understand what to actually do to improve mentions in AI search.
The goal is simple: help companies turn AI search from a black box into a growth channel they can actually work on.
Most tools stop at tracking. They show you whether you were mentioned with your "AI visibility score" or a giant dashboard of charts.
Kelsey is designed to look at prompts, competitors, citations, and content patterns behind every AI search mention. And then it helps you find the next best action whether that is creating a comparison page, improving an existing page, answering pricing questions, building a use-case page, or finding the sources that are shaping AI recommendations.
AI search is not just a reporting problem. It is a content, positioning, and trust problem.
Kelsey is built for the teams that want to understand why competitors are being recommended and what they can actually ship to change that.
Kelsey is built by Randall Kanna, an engineer, author, and founder who has over a decade building software products at startups and large companies.