Original data and first-hand experience are the hardest parts of E-E-A-T to fake. Publish test results, benchmarks, screenshots or interviews, state sample size and date range, and cite primary sources. Update the data when it changes and keep past versions verifiable.
The extended brief explains when this works, when it does not, and the trade-offs. Join the waitlist and it unlocks for every tip when sign-in opens; MCP access is the paid part.
Choose a question you can answer with data General best practice
Pick a question customers ask that requires access you have: account benchmarks, product tests, support ticket patterns. Define the method before collecting.
Check: A written method exists with sample size, date range and inclusion criteria.
Publish the evidence
Present results in tables or charts with units, note limitations, and link primary sources. Attribute the work to a named author with credentials.
Check: The page states sample size, date range, method and author, and every statistic has a source or a method note.
Keep it current and archive it General best practice
Update the dataset when conditions change and keep an archive of previous versions with dates so readers can verify claims over time.
Check: The page links to at least one dated previous version and shows the current data date.