Trust & Research

How we research, verify and publish.

GAEO.ai uses AI as a research and production tool, but public claims still need clear provenance, review and context.

Source hierarchy

We prefer primary sources, official documentation, company disclosures and first-party datasets. Reputable secondary reporting is used when primary material is unavailable or when independent context is needed.

Claims and evidence

Material claims should be traceable to a source, dataset, documented operating record or clearly labelled analysis. Estimates, interpretation and opinion are kept separate from verified facts.

AI-assisted research

AI may support discovery, extraction, comparison, drafting and quality checks. It does not replace source review for important factual claims. Public content is reviewed before publication.

Freshness

Dates reflect the actual publication or review cycle. Pages are not marked as updated simply because the site was rebuilt or redeployed.

Corrections

When a material error is identified, we correct the page and update the review date when appropriate.

Commercial transparency

Product pages explain what is available now. Concepts, pilots and future directions should not be presented as shipped capabilities.

Evidence labels

Across the site we distinguish public evidence, company disclosures, documented career records, platform records and author analysis. The label tells readers what kind of support sits behind a claim.