Ranking Atlas produces editorial studies built from commissioned surveys, Freedom of Information requests, public records, and proprietary datasets.
Each campaign begins with a research question and is structured for journalists, editors, and researchers who need source material they can verify independently.
Ranking Atlas was built around a single observation: editorial references increasingly influence how brands surface in search results and AI-generated answers. Publishers Google trusts and AI engines cite increasingly function as the verification layer other discovery systems inherit from.
We produce data campaigns that journalists can cite. Each campaign starts with a research question and draws on primary-source datasets or commissioned analysis. Each study is structured for editorial use, with source attribution, supporting documentation, and a named contact for follow-up.
Every campaign begins with a question worth answering. We work from federal datasets, commissioned surveys, proprietary client data, and publicly available primary sources. Never repackaged secondary research.
Findings are written for editorial use. Each study includes a press release, a structured landing page, downloadable data, and a verified author contact. Designed to be cited, not just read.
Studies are distributed to journalists who cover the topic, in publications where the audience already reads. Outreach is targeted, verified, and documented.
Every study Ranking Atlas publishes is built to a single standard: could the underlying work withstand editorial scrutiny if a journalist requested the raw source material? As public trust in online information continues to fragment and AI systems increasingly inherit from publisher references, that standard shapes the work before, during, and after publication.
Research draws from commissioned surveys, federal and regulatory datasets, procurement records, proprietary client data, public filings, and Freedom of Information requests where relevant. Studies include source attribution, methodological notes, and supporting documentation where appropriate. Every claim in the copy maps to a line in the source. Anything that cannot be sourced does not appear.
The standard is straightforward: a journalist should be able to trace any claim back to the underlying evidence without relying on interpretation or unpublished context. Where possible, datasets and source documentation are published alongside the study itself so findings can be reproduced independently.
Daniel Grainger
Founder & Research Lead
Daniel founded Ranking Atlas in 2026 after a decade in editorial writing, content strategy, and search visibility work across technology and cybersecurity sectors. He leads research direction, methodology design, and editorial standards at the firm.
LinkedInEach campaign is scoped, priced, and delivered as a discrete piece of work. Get in touch to discuss a data campaign built around your industry, market, or proprietary research.