Scoring methodology

AI RANKED exists to give you defensible rankings — not hype. Every public tool is hand-curated for Phase 1, scored on six metrics, and ranked with a transparent formula you can audit.

Six metrics (0–10 each)

Usefulness— Weight 30%
Quality— Weight 25%
Ease of Use— Weight 15%
Value— Weight 15%
Reliability— Weight 10%
Popularity— Weight 5%

Overall score

Overall = 0.30×Usefulness + 0.25×Quality + 0.15×Ease
        + 0.15×Value + 0.10×Reliability + 0.05×Popularity

Rank score

Rank score adjusts overall quality by validation tier (how thoroughly we verified the product) and future trend momentum. Tier S tools receive the highest confidence boost.

RankScore = Overall×0.72 + TierBoost + TrendBoost×0.13

Tier S → +0.35   Tier A → +0.15   Tier B → +0.00

Validation tiers

Tier S — Flagship products with broad adoption and verified production quality (e.g. ChatGPT, Claude, Copilot).

Tier A — Strong, legitimate products with clear AI value and professional presence.

Tier B — Valid tools with narrower scope or lighter verification data.

What we don't do

No paid placement in rankings
No opaque LLM-only scores without documented weights
No listing GitHub libraries as end-user products
No fake trend data or inflated vote counts

Phase 3 adds trending from score history + community votes, side-by-side compare, and bookmarks. Browse current rankings →