About Ranking Atlas.
Ranking Atlas is a research-grade AI SEO agency founded by Daniel Grainger.
Principles.
The scientific method is a systematic, empirical process for investigating the natural world. We apply it to AI search and our clients. Every engagement follows its six steps:
- 01 Observation. We discover your current visibility, sentiment and competitiveness across engines.
- 02 Question. We find the most commercially profitable buyer questions.
- 03 Hypothesis. We identify the actions most likely to influence each engine.
- 04 Experiment. We act on our hypotheses, onsite and offsite.
- 05 Analysis. We analyse the results and ROI.
- 06 Feedback loop. We double down on what is most profitable for the client, and repeat.
Standards.
Every measurement starts from fixed buyer questions, set at the start and reused unchanged. Each answer is scored separately for whether the brand is mentioned, recommended and cited, and results are reported as counts out of a total. Every source is named. Our research is published with its method and limitations stated.
Founder story.
Founded and run by Daniel Grainger.
Daniel Grainger studied Ecology and Animal Behaviour at the University of Leeds. His early fieldwork and roles in the UK, Cambodia and Hong Kong studied the behavioural patterns of a range of animal species, yielding a first-author paper in the journal Ethology on bullet ant dominance hierarchies, co-author contributions to research on dolphin behaviour, and work that contributed to establishing marine protected areas in Cambodia. He then moved into data-led digital PR for B2B software companies before founding Ranking Atlas, where he applies the same principles of behavioural observation and data analysis to how AI engines behave.