Every Listing Audit comes back with one overall score, six sub-scores, and a letter grade. Here's exactly how those numbers are produced and what they mean for your listing.
All sub-scores and the overall score live on a 0–100 integer scale. Higher is better. The scale is calibrated against real Amazon category benchmarks, not an absolute ideal — meaning a 70 in a competitive category like Beauty or Kitchen represents better-than-average work, not perfection.
The overall score maps to a letter grade. We use plus/minus modifiers within each band so you can tell whether you're at the top or the bottom of, say, "C-territory."
| Grade | Score range | What it means |
|---|---|---|
| A / A− | 85–100 | Top-tier listing. Likely outperforming most of the category on every measured dimension. |
| B+ / B / B− | 70–84 | Strong listing with one or two clear wins available. Most fixes will be polish, not rework. |
| C+ / C / C− | 55–69 | Average listing. Real opportunities exist — typically 3–5 priority fixes can move it into B-territory. |
| D+ / D / D− | 40–54 | Below average. Multiple dimensions need work. Often a structural issue (no A+ Content, weak title, wrong main image). |
| F | 0–39 | Significant issues. The listing is leaking buyers in obvious ways and rarely competing on search. |
Each Listing Audit produces six independent sub-scores. The AI evaluates each dimension on its own evidence — title text, image stack, review patterns, etc. — then the overall score is the calibrated rollup of all six.
The overall score is not a simple average. The AI weighs sub-scores against each other based on which dimensions matter most for the specific category and product type — for example, Images carries more weight in visually-driven categories like Home & Kitchen, while SEO carries more weight in densely-searched categories like Health & Personal Care.
Within the AI Search Readiness dimension we run a separate analysis (Rufus + COSMO query simulation) that produces its own 0–100 score, then folds back into the overall as one of the six pillars.
The free preview shows the overall score and grade so you can decide whether the listing has issues worth paying to fix. The full paid Listing Audit goes further:
LaunchAudit uses Claude — currently Opus 4.8 (claude-opus-4-8), the most capable commercially available AI model — with prompts engineered specifically for Amazon listing evaluation. The scoring rubric is calibrated against:
The score is a rigorous assessment of listing quality — not a guarantee of ranking or sales. Sellers who act on the priority fixes consistently see measurable improvement in conversion rate and organic visibility, but Amazon's algorithm has many inputs and outcomes vary by category, season, and competitive density.
Ranking and listing quality are correlated but not identical. You might be #1 because of brand recognition, review velocity, or a strong PPC campaign — while the listing itself still has structural gaps that limit conversion. Acting on the priority fixes typically grows your gap from competitors.
Live ASIN data changes (new reviews, image updates, price moves), and AI scoring has a small natural variance. We've engineered the prompts to be as deterministic as possible, but expect a few points of drift run-to-run on the same listing if anything material has changed.
Other graders are rule-based (counts characters, keywords, image dimensions). LaunchAudit reads the listing the way Amazon's AI does — semantically. We score whether your bullets actually answer hesitations, not just whether they hit a keyword density target. It's a different methodology designed for the Rufus era.
Yes — the score evaluates the listing's expression of your product, not the product itself. Better title, better images, better A+ Content, better backend search terms, better review-management — all of these move the score without changing inventory.
See your score, grade, and top 3 priority fixes — no card, no account.
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