Review labels

AI Profit Hub uses the following labels so readers can understand the evidence behind a conclusion:

Documentation-based review process

  1. Define the reader's decision and the product version or plan being discussed.
  2. Check official product, pricing, privacy, model, and release documentation.
  3. Separate provider claims from independently verifiable facts.
  4. Compare products using the same decision criteria and a clearly dated source set.
  5. State limitations, missing evidence, and information that may change.

Hands-on testing requirements

A review may use the term "hands-on" only when the article records what was tested. That record should include the account tier, version or model, test date, representative tasks, environment, and evaluation rubric. Screenshots or reproducible observations should be included when useful. AI Profit Hub does not apply a fictional minimum testing duration and does not convert provider benchmarks into its own scores.

Evaluation criteria

Ratings and recommendations

Unsupported star ratings and invented benchmark scores are not part of the current methodology. Recommendations should explain who a product is for, who should avoid it, and what evidence supports that judgment.

Updates and corrections

Pricing and availability are checked against the linked source date. A visible updated date is changed only after a meaningful review. Readers can report errors through the contact page.