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Amazon Keyword Research

Amazon keyword research and strategy agent. Input a seed keyword, product idea, or competitor ASIN — get keyword clusters, search volume estimates, competiti...

personAuthor: mguozhenhubclawhub

Amazon Keyword Research Agent

Build a complete keyword strategy for any Amazon product. From a seed keyword or competitor ASIN, discover high-converting terms, estimate volumes, and prioritize for listing SEO and PPC.

Commands

kw research [keyword]           # full keyword research from seed term
kw asin [ASIN]                  # reverse ASIN keyword extraction
kw cluster [keyword]            # build keyword clusters/themes
kw difficulty [keyword]         # assess competition level
kw trending                     # find trending search terms
kw negative [keyword]           # generate negative keyword list
kw listing [keyword]            # extract keywords for listing placement
kw save [name]                  # save keyword set to memory
kw history                      # show saved keyword sets

What Data to Provide

  • Seed keyword — your main product keyword (e.g., "yoga mat")
  • Product description — helps discover related terms
  • Competitor ASINs — reverse-engineer their keyword strategy
  • Target market — US, UK, DE, etc.
  • Budget/focus — broad discovery vs. focused exact-match targeting

Keyword Research Framework

Phase 1: Seed Expansion

  • Head terms → broad variations → long-tail
  • Synonym discovery (material, use case, audience, benefit)
  • Negative intent filtering (irrelevant, competitor brand)

Phase 2: Classification

| Type | Example | Best Use | |------|---------|----------| | Head term | yoga mat | Title, high competition | | Long-tail | non-slip yoga mat 6mm thick | Bullet points, backend | | Use-case | yoga mat for hot yoga | Backend, A+ content | | Audience | yoga mat for beginners | PPC exact match | | Attribute | extra thick yoga mat purple | Long-tail PPC | | Problem | yoga mat without smell | FAQ, backend |

Phase 3: Priority Scoring

Score each keyword 1–10 based on:

  • Search volume (estimated from category context)
  • Relevance to product (1–5 scale)
  • Competition level (# of sponsored results)
  • Conversion intent (informational vs. transactional)

Priority formula: (Volume × Relevance × Intent) / Competition

Phase 4: Placement Strategy

| Location | Keyword Type | Character Limit | |----------|-------------|-----------------| | Title | Top 3–5 keywords | 200 bytes | | Bullet 1 | Feature keywords | 500 bytes each | | Search Terms (backend) | Long-tail, synonyms | 250 bytes | | A+ Content | Audience/use-case | No limit | | PPC Broad | Discovery terms | — | | PPC Exact | Proven converters | — |

Output Format

  1. Keyword Universe — 30–50 keywords organized by cluster
  2. Priority Matrix — top 10 keywords to focus on first
  3. Placement Map — where each keyword goes (title/bullets/backend/PPC)
  4. Negative List — irrelevant terms to exclude from PPC
  5. Content Gaps — search intents your listing currently misses

Rules

  1. Never recommend stuffing keywords unnaturally into listing copy
  2. Flag brand name keywords (trademark risk)
  3. Prioritize buyer-intent keywords over informational
  4. Always separate PPC keywords from organic/listing keywords
  5. Recommend testing 2–3 title variations for new products