How We Review

Last updated: 2026-05-14

Every review and ranking on ai-best.deals follows the same methodology. This page is the source of truth for it. If you ever see a tool placed where this rubric wouldn't place it, tell us — that's a process bug.

1. The Six-Dimension Rubric

We score every tool on six weighted dimensions. The weights add up to 100% and the same weights apply across all categories so scores remain comparable.

Capability fit25%
How well the tool actually does the job in its category. We score against the specific tasks the category implies, not generic AI ability.
Output quality20%
For generative tools, the quality, consistency, and controllability of output. For analytical tools, the accuracy, calibration, and explanation of results.
Pricing and value15%
Transparent pricing, fair limits, sensible free tier, and how the price compares to what you actually get vs. alternatives.
User experience15%
Onboarding speed, interface clarity, performance, error handling, accessibility, mobile experience, and time-to-first-useful-output.
Trust and safety15%
Data handling, privacy posture, security disclosures, content-moderation guardrails, accuracy of marketing claims, support responsiveness.
Vendor durability10%
Funding, team, shipping cadence, ecosystem integrations, public roadmap, and the likelihood the tool will still be here in 12 months.

2. How We Test

We combine four sources of evidence:

Hands-on testing. We sign up (free or paid), run a standardized task list for the category, and capture output. For generative tools we run identical prompts across competitors so outputs can be compared apples-to-apples.
Documentation review.We read the docs, changelog, pricing page, security page, and ToS — not just the marketing site.
Vendor briefings. Where useful, we accept a briefing from the vendor. Briefings inform context but never substitute for hands-on testing.
User signals. We monitor reader feedback, public review sites, and category-specific community forums to surface failure modes that show up only at scale.

3. Rankings

On comparison and best-for-use-case pages, the order reflects the weighted score above, broken by use-case fit. Two tools with near-identical scores may be tied or split by a context note (“Pick A if you need X, pick B if you need Y”) rather than ranked artificially. Sponsored placements appear in a clearly-labeled slot above or alongside the editorial list and do not displace the organic order.

4. Update Cadence

Tool listings: reviewed at least every 90 days.
Comparison and best-for pages: reviewed at least every 60 days, and immediately when a covered tool ships a major release or changes pricing.
Long-form guides: reviewed at least every 180 days.

Each page shows a “Last updated” date so you can judge freshness.

5. What Disqualifies a Tool

Some failures are not score deductions, they are exclusions. A tool will not appear in a recommended slot if:

It misrepresents core capabilities in its marketing.
It has unresolved, credible safety or privacy violations.
Its pricing is hidden behind sales calls when peers are self-serve.
The vendor has effectively abandoned the product (no updates, no support).
It violates platform policies it depends on (e.g. third-party data scraping at scale without consent).

6. Reader Feedback Loop

If a recommendation didn't work for you — or you tried the tool and found a deal-breaker we missed — tell us. We weight reader signal heavily, especially on pages with high traffic. Email hello@ai-best.deals or use the feedback prompts on our pages.