Product accuracy
Availability, supported inputs, pricing, and platform claims are checked against current product contracts and public policy pages. Gated features must remain labelled as gated rather than generally available.
Editorial policy
Our standards for product accuracy, health sources, AI-assisted drafting, review dates, corrections and honest reviewer attribution.
This policy applies to public educational and product pages. It separates verified product facts from general health education and prevents a byline or review label from implying credentials that were not involved.
The practical details
Availability, supported inputs, pricing, and platform claims are checked against current product contracts and public policy pages. Gated features must remain labelled as gated rather than generally available.
Health guides should favour government health agencies, recognised medical institutions, standards bodies and primary research when appropriate. Sources should be visible near the page rather than hidden from readers.
AI can help organise a draft, identify questions and improve readability. It cannot serve as the evidence for a health claim, create a reviewer identity or replace human verification of product facts and cited sources.
Pages maintained by the product team use an organisational byline. A named clinician or specialist is shown only when that identified person has actually reviewed the relevant content and their credentials can be represented accurately.
Pages show a reviewed date when practical. Material corrections should update the content and review date. Readers can report an issue to hello@longevitymate.com with the page URL and the statement in question.
Comparison pages should link to official external sources, date the review, avoid unverifiable superiority claims and tell readers to confirm mutable pricing and features before purchase.
Use these links to verify product, policy, and external provider information.
Create a structured history, understand the broader context, and prepare better questions without treating AI output as a diagnosis.