How We Rank Products

Every ranking on Picky.expert is produced by a deterministic scoring system. No human edits the order of a category list, and no brand can pay to move up.

Where the data comes from

Offers from sellers. We aggregate live prices and availability from multiple retailers per product.
Product attributes. Specs (screen size, battery, ingredient dosage, etc.) are extracted from manufacturer sources and seller listings, then normalized by AI and stored as structured data.
User ratings. Aggregate rating and review counts are pulled from retailer pages.
Community contributions. Users can suggest edits and report inaccuracies. Every contribution is reviewed before merging.

Signals we use to rank

Best available price across tracked sellers, relative to peers in the same category.
Aggregate rating weighted by review count to penalize sparse data.
Spec strength on attributes that matter for the category (e.g., battery life for phones, dosage per serving for supplements).
Recency — newer entries with active offers surface higher than discontinued products.
Comparison verdicts on /compare/$a-vs-$b pages are derived directly from the spec matrix (cheaper, higher rated, better on a given spec). No editorial override.

Signals we deliberately ignore

Payments, sponsorships, or partnerships of any kind.
Affiliate commission rates — every seller is weighted equally.
Brand "importance" or marketing spend.
Editor personal preference.

When we say "we don't know"

If a product has fewer than the minimum required data points (active offers, comparable specs, or rating volume), it's excluded from ranked lists rather than padded with guesses. Comparison pages with fewer than four comparable spec rows are marked noindex rather than published as a ranking.

For the technical deep-dive — deduplication, AI extraction, refresh cadence — see our methodology page.