Trakkr Data Opens Up AI Search Telemetry as Open Source Datasets

Trakkr Data has launched a groundbreaking initiative to democratize access to the telemetry behind AI search engines. By making live, explorable datasets freely available to anyone, the company aims to provide transparency into how major AI models operate, cite sources, and recommend brands.

Benefits

The core of the offering consists of eight distinct datasets, updated daily via a public API. These datasets provide deep insights into the behavior of major AI models, including ChatGPT, Google Gemini, Perplexity, Claude, and Grok. The specific datasets include:

1. The AI 500: Identifies the brands that AI models recommend most frequently.
2. Sources Cited: Tracks the specific sources that AI models reference in their responses.
3. Crawler Activity: Reveals what AI crawlers actually fetch from the web.
4. Model Comparisons: Analyzes how the eight tracked models compare against one another.
5. Query Rewriting: Details how user queries are rewritten before being processed.
6. Web Adoption: Tracks broader web adoption metrics relevant to AI search.

One of the most significant findings revealed by the data is the lack of consensus among AI models regarding brand recommendations. The datasets show that the tracked models agree on which brand to recommend only about 43% of the time. This highlights the variability in AI decision-making and the importance of analyzing multiple models to get a comprehensive view of search trends.

Use Cases

This open-source initiative is designed to benefit SEO tools, marketing tools, and the broader Artificial Intelligence community. By providing free access to these datasets, Trakkr Data allows researchers, marketers, and developers to dig into the raw data behind AI search without the need for expensive agency fees or proprietary access. The platform serves as a vital resource for understanding the current landscape of AI-driven search and recommendation algorithms.

Pricing

The platform is a free resource for understanding the mechanics of AI search.

Vibes

The startup positions itself as a free resource for understanding the mechanics of AI search. The platform was officially launched on Product Hunt on June 14, 2026, where it has already garnered 4 votes and 1 comment.

Additional Information

Founded on June 14, 2026, and recently active for a few weeks, this open-source project targets the SEO, marketing, and artificial intelligence sectors.