Methodology
How We Review AI Tools
Independent, hands-on evaluation with transparent scoring, disclosed commercial relationships, and clear verification standards.
Last updated:· Related: Editorial Policy
Our commitment
AIUnpacker reviews are written to help you decide whether a tool fits your workflow — not to maximize affiliate clicks. The site is funded through clearly labeled sponsored articles and reviews, relevant paid link placements, and affiliate commissions where disclosed. Those relationships do not buy scores or rewrite verdicts. Paid or sponsored placements are labeled. Read the full commercial rules on our Editorial Policy.
How sponsored reviews work
A sponsored review is still an honest review. Payment funds production and placement; it does not guarantee a positive score or verdict.
- Sponsor provides access and a factual product brief.
- AIUnpacker tests the same workflows used for editorial reviews.
- AIUnpacker writes the score, pros, cons, limitations, and verdict.
- Sponsor may identify factual errors once.
- AIUnpacker makes the final decision and publishes with a Sponsored label.
Current packages and pricing: Work with us.
Review process
1. Scope & research
We define the use case, target audience, and comparable tools. We review official docs, pricing pages, changelogs, and publicly available benchmarks before hands-on work.
2. Hands-on evaluation
When access is available, we run real workflows: setup, core features, edge cases, export/integrations, and failure modes. When access is limited, we state that clearly and rely on documented product behavior.
3. Score & structure
We score features, ease of use, value, and support when applicable. Every review includes pros, cons, a best-for audience, and a plain-language verdict.
4. Verify & publish
Pricing, claims, and screenshots are re-checked close to publish. We only show a Verified badge when the page has a recorded last-verified date and matches this methodology.
5. Revisit & update
Major product changes trigger a revisit. Update dates and last-verified dates change only when an editor actually re-checks the tool — not on every build.
Scoring criteria
When a review includes numeric scores, they reflect editorial judgment on a 1–5 scale at the time of evaluation:
- Features: Does the tool deliver the core jobs it promises for its category?
- Ease of use: Time to first value, clarity of UI, learning curve for the intended user.
- Value for money: Pricing transparency, free tier usefulness, and cost relative to alternatives.
- Support & docs: Documentation quality, support channels, and reliability of updates.
- Trust & safety: Data handling disclosures, export options, and operational reliability where testable.
What “Verified” means
A Verified badge means an editor has re-checked key claims (pricing, core features, and public product positioning) against this methodology and recorded a lastVerified date on the page.
It is not a guarantee of uptime, vendor honesty, or suitability for your use case. It is not a security audit or legal compliance certificate. If a page lacks a verification date, we treat it as editorial content without a formal re-check stamp.
Sources & citations
Factual claims about pricing, model capabilities, benchmarks, and legal constraints should cite primary sources (vendor docs, official blogs, standards bodies). Opinions, workflow tips, and prompt examples are editorial and may not need external citations.
Corrections
Found an error? Email contact@aiunpacker.com. Material corrections update the page and its modified date; we do not silently rewrite history for score inflation.
Also read: Editorial Policy· About· All reviews