Trust & Transparency

Methodology

A clear, no-marketing-fluff explanation of how Lunoo scores and ranks items.

verified Affiliate links never affect rankings science AI-powered, peer-grouped scoring update Re-scored on a regular cadence
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The 30-second version

Each item gets an AI-generated score from 0 to 10 based on public signals about that specific item, compared only against peers in the same category. Affiliate commissions, sponsorships, and editorial opinions do not affect the number. User reviews are tracked separately on the item page itself.

What goes into the score

category

Category fit

Every item is classified into a canonical category we call a key tag, and only compared against peers there. A budget VPN is never scored against an enterprise CRM.

checklist

Feature coverage

Whether the item actually solves the core problems users in that category typically have. We weigh the must-haves more heavily than novelty extras.

payments

Pricing & value

Whether the price aligns with what comparable items charge for comparable capability. Free tiers, trial generosity, and hidden costs all factor in.

public

Public reception

Aggregated public information about the item: how well-known it is, whether it has a clear product story, whether reviewers in the space have written about it.

history

Recency

Items are re-scored on a regular cadence as their data, pricing, and category landscape change.

groups

User reviews

When users leave reviews on an item, those show up separately on the item page and only there. They do not retroactively rewrite the AI score.

What is not in the score

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Affiliate program participation. Our scoring pipeline does not know whether an item has an affiliate program. Scores are computed before any commercial relationship is checked.
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Pay-for-placement. No vendor pays Lunoo for ranking. We do not sell positions, badges, or "featured" slots in rankings.
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Manual editorial favoritism. Editors can flag obvious data errors and miscategorisations, but they do not hand-pick winners.
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Synthetic ratings on listing pages. AI scores are never published as user-review aggregates on category, alternatives, or comparison pages.
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Spot a wrong score?

If you see a score that is clearly wrong (factual error, wrong category, outdated data), email support@lunoo.com with the URL and what is wrong. We re-classify and re-score on a regular cadence, but we will also fix obvious mistakes by hand on request.

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