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Amazon Listing Operations

Listing operation on Amazon become more easier with Compass

Each action is carried out under your supervision, provided you grant permission.

Listing Foundation

Research demand.
Create content that converts.

Keyword research

Analyze thousands of keywords
Group keywords by intent
Remove duplicate keywords
Prioritize keywords
Suggest primary and secondary keywords

Listing content suggestions

Title
Bullet points
Product description
Backend search terms
A+ Content
FAQs
Multilingual content

Catalog Data Normalization

One clean catalog language across every listing.

AI identifies equivalent values, resolves inconsistent naming, and standardizes attributes before content is published.

Unify attribute values across ASINs
Reduce catalog conflicts and duplicate variations
Improve filters, reporting, and downstream automation

Example · Material

AI Normalization

Multiple values

Cotton
100% Cotton
Pure Cotton
Cotton Fabric

AI can normalize to

Material = Cotton

Continuous Listing Intelligence

Find issues. Learn from customers. Improve continuously.

✓

Listing quality check

  • Missing keywords
  • Bullet points too long
  • Title length exceeds limit
  • Spelling errors
  • Missing attributes
  • Missing images
  • Keyword stuffing
★

Review analysis

  • Positive / negative classification
  • Issue grouping
  • Sentiment analysis
  • Product improvement suggestions

Competitor Analysis

Know the market before you make the next move.

Data collection

Gather category, ASIN, offer, and content signals.

Price comparison

Track price gaps, promotions, and positioning.

Image comparison

Compare image coverage, sequence, and visual quality.

Keyword comparison

Reveal keyword overlap, gaps, and opportunities.

SWOT analysis

Turn findings into strengths, weaknesses, opportunities, and threats.