brianmoney/amazon-marketing-skill/listing-audit

Listing Audit

Evaluates an existing Amazon listing against current Amazon policies (2024-2026), compliance requirements, and optimization best practices for both traditional search and Rufus AI discovery.

Prerequisites

Load references/amazon-style-guide.md, references/rufus-optimization.md, and references/backend-keywords-guide.md.

If brand-context.md exists in the project root or .agents/ directory, load it for shared brand context and past learnings that inform audit recommendations.

If products/[ASIN]/product-context.md exists, load it for product-specific context. Prefer User Confirmed Data, then Amazon Observed Data, then AI Inferences.

Resolve product references by SKU or ASIN using the product context file's SKU: and ASIN: fields.

If multiple product folders exist and the user has not specified a product, ask which SKU or ASIN to use before auditing.

The user must provide either:

• A full listing (title, bullets, description, and ideally backend keywords)
• An Amazon URL, ASIN, or seller SKU (if Playwright or MCP tooling is connected, pull live

data; otherwise ask the user to paste the content)

• A screenshot of a listing (describe what you see)

Audit Process

Phase 1: Compliance Check

Run every element through the compliance rules from the style guide. Flag violations as CRITICAL (risks suppression), WARNING (violates best practices), or INFO (improvement opportunity).

Title Compliance:

• [ ] Under character limit for category (200 default)?
• [ ] No prohibited special characters (!$?_{}^¬¦)?
• [ ] No word repeated more than twice?
• [ ] No ALL CAPS words?
• [ ] No promotional language ("Best Seller", "#1", "Sale", etc.)?
• [ ] No subjective claims ("Amazing", "Perfect")?
• [ ] No price, availability, or condition info?
• [ ] Brand name present?
• [ ] First letter capitalized per word?

Bullet Point Compliance:

• [ ] All 5 slots used?
• [ ] Header: Body format on each?
• [ ] No emojis?
• [ ] No special characters (™®€…†‡¢£¥©±~â)?
• [ ] No ALL CAPS sections?
• [ ] No guarantee/refund language?
• [ ] No promotional claims?
• [ ] No competitor brand names?
• [ ] No company info, URLs, or contact details?
• [ ] No period at the end of any bullet?
• [ ] No repetition between bullets?
• [ ] No repetition of title content?
• [ ] Estimated total bytes under 1,000 (indexing limit)?

Description Compliance:

• [ ] Under 2,000 characters?
• [ ] No HTML tags?
• [ ] No prohibited content?
• [ ] Does not duplicate bullet points verbatim?

Backend Keywords Compliance (if provided):

• [ ] Under 249 bytes?
• [ ] No commas or punctuation?
• [ ] No competitor brand names?
• [ ] No ASINs/UPCs?
• [ ] No words duplicated from visible content?

Phase 2: Quality Scoring

Score each element on a 0-100 scale based on effectiveness:

Title Quality (25 points possible):

Bullet Point Quality (30 points possible):

Description Quality (15 points possible):

Backend Keywords Quality (15 points possible):

Rufus Readiness (15 points possible):

Phase 3: Recommendations

Deliver findings in priority order:

1. Critical Fixes (compliance risks — do these first)
2. Top 3 Quick Wins (highest-impact changes with least effort)
3. Keyword Coverage Gaps (important terms missing from listing)
4. Rufus Optimization Opportunities (conversational discovery improvements)
5. Long-Term Improvements (A+ Content, image recommendations, Q&A strategy)

Output Format

Load templates/audit-scorecard.md and populate every section with findings from the audit. Do not reproduce the template inline — fill it out and present the completed scorecard to the user.