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Amazon Keyword Goldmine — Find Buyer Search Terms
Build evidence-led Amazon keyword maps by shopper intent, relevance, and listing placement—without fake search-volume claims or keyword stuffing.
$9.99
Amazon Keyword Goldmine — Find Buyer Search Terms
Example session with this skill installed
Create a launch keyword map for a US Amazon listing. Product facts supplied by me: insulated stainless-steel bottle, 750 ml, screw-top lid, designed for reusable everyday hydration; do not claim dishwasher-safe or leakproof because I have not verified those claims. Separate verified input facts from semantic hypotheses. Map relevant phrases to title, bullets, description, backend terms, or PPC tests; identify terms to avoid; and give a simple measurement plan. Do not invent search volumes, rankings, or live autocomplete results.
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- Compiled the amazon keyword goldmine
US Launch Keyword Map — 750 ml Insulated Bottle
Evidence and scope
VERIFIED-MERCHANT-SUPPLIED: insulated stainless-steel bottle; 750 ml; screw-top lid; reusable everyday hydration.
UNKNOWN: brand, dimensions, colors, insulation performance, dishwasher suitability, leak testing, certifications, audience, price, and measured search-query data.
Linguistic hypotheses below are not measured searches. Validate with authorized Amazon query tools, seller reports, campaign data, or live marketplace evidence before treating them as demand.
Shopper-intent clusters
| Cluster | Candidate phrases (hypotheses) | Intent | Evidence / fit |
|---|---|---|---|
| Exact product | insulated stainless steel water bottle; reusable insulated bottle | High | Product facts supplied; validate query use |
| Capacity | 750 ml water bottle; 25 oz bottle | High | 750 ml supplied; ounce conversion is approximate; use only if desired |
| Use case | reusable bottle for everyday hydration; water bottle for commuting | Medium | Use case partly supplied; commuting is an unverified audience/context hypothesis |
| Lid/feature | screw top water bottle; stainless bottle with screw lid | High | Lid type supplied |
| Unsupported claims | leakproof bottle; dishwasher-safe bottle; keeps drinks cold 24 hours | Avoid pending substantiation | Not verified by supplied facts |
Placement guidance
- Title: product type plus one differentiating fact, written naturally; avoid repeating synonyms.
- Bullets: use capacity and screw-top details where shoppers can understand them; include only confirmed benefits.
- Description: explain everyday use and material with factual wording.
Backend terms: reserve for relevant synonyms not already covered; check current byte and policy rules before upload.
PPC tests: isolate broader phrases such as commuting only after confirming product fit and reviewing actual search-term reports.
Exclusions and risks
Do not add unsupported insulation duration, safety certifications, health claims, competitor brand names, or irrelevant high-volume traffic terms. “25 oz” is a rounded conversion from 750 ml, not an exact equivalence; choose the marketplace’s familiar unit and retain the exact stated capacity.
Prioritization and measurement
Start with exact-product and screw-top/capacity relevance. After launch, review query impressions, clicks, spend, orders, and conversion by marketplace and reporting period. Compare like-for-like time windows, separate organic evidence from paid-search results, and use actual performance before expanding.
Confidence: LOW to MEDIUM for relevance; INSUFFICIENT for demand or search volume. Next, confirm product claims and provide query or ad reports to replace hypotheses with evidence.
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About this skill
Amazon Keyword Goldmine turns product facts and legitimate search evidence into a practical keyword strategy for Amazon listings, PPC testing, launches, and localization. It starts with product truth—what the item is, its attributes, supported benefits, audience, uses, compatibility, and exclusions—before generating or prioritizing search language.
The GOLD-12 framework evaluates product relevance, shopper intent, specificity, attributes, use case, audience, evidence quality, marketplace fit, listing placement, and claim safety. It clusters exact-product, attribute, problem/solution, use-case, audience, compatibility, occasion, brand/model, and informational queries, then separates high-intent phrases from broader discovery language. Each term is labeled by evidence source: Amazon or seller data, advertising reports, live observations, customer language, competitor listing text, third-party tools, merchant input, or linguistic hypothesis.
Use it to mine search-term reports, Brand Analytics exports, keyword-tool files, reviews, questions, and authorized public listing/search evidence. It identifies relevant coverage gaps, flags duplicates and unsupported or trademark-risk terms, distinguishes organic listing ideas from PPC tests, and maps appropriate phrases to title, bullets, description, backend terms, or campaign structures. Localization adapts to the target marketplace rather than translating literally.
The agent never invents search volume, rank, CPC, competition, trends, autocomplete results, conversion, or Amazon private analytics. Semantic expansions are hypotheses, not verified buyer searches. It avoids irrelevant high-volume terms, competitor trademark stuffing, unsupported claims, and policy evasion. Keyword recommendations can improve organization and relevance but do not guarantee ranking, impressions, clicks, conversion, or sales.
For best results, provide marketplace/language, exact product facts and exclusions, current listing, customer and campaign query data, objective, and any competitor ASINs or keyword exports you are authorized to use.
How to use
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