The Story Behind Trackee

We built Trackee because understanding how a brand shows up in AI search is harder than it should be. Ask ChatGPT, Claude, Gemini, Perplexity, or Google the same question and you get different answers, different sources, and no simple way to measure any of it.

Trackee turns that into clean data. One API to track where a brand is mentioned, ranked, and cited across Google search and every major AI model, with history over time and share of voice against competitors. It is built for founders, marketing teams, agencies, and product builders who want to measure AI-search visibility or build it into their own products.

We also built PostPeer, a social media posting API. Both products follow the same rule: hide the hard infrastructure behind a simple, reliable interface.

Meet the Founders

CO-FOUNDER

Jonathan Geiger

I'm Jonathan, co-founder of Trackee. I'm a senior software developer, and I spend a lot of my time building and shipping products.

Over the last few years I built and sold three products: LectureKit, a learning tool; CaptureKit, a screenshot API; and SocialKit, a social media data API. Each one taught me the same lesson about what developers actually need: simple APIs, reliable infrastructure, and great docs.

Today I'm focused on Trackee. I also co-built PostPeer, a social media posting API. At Trackee I work across product and infrastructure.

LinkedIn GitHub

CO-FOUNDER

Yoav Mendelson

I'm Yoav, co-founder of Trackee. I'm a senior software developer with deep experience scaling SaaS products from zero to thousands of users.

Before Trackee I worked at a startup that was acquired, where I led engineering across the full stack. I also co-built PostPeer, a social media posting API, so I know what it takes to run infrastructure that developers can trust.

At Trackee I work across the stack, focused on making the API fast, predictable, and easy to integrate.

LinkedIn GitHub

What Trackee Is For

Trackee is for developers, SaaS builders, agencies, and marketers who need to know where a brand shows up across Google and AI models, without building and maintaining a scraper for each one.

Instead of stitching together SERP data, AI engines, and competitor research yourself, you make one request and get clean JSON back: rankings, mentions, citations, sentiment, and share of voice. There are three ways to use it: the REST API, the MCP server, and the dashboard.

Our mission is to be the easiest and most reliable way to measure and build AI-search visibility, so you can spend less time on data plumbing and more time acting on the results.