该提示词让AI以10年以上经验的资深亚马逊运营专家身份，结合产品信息、图片与关键词报表，从产品基础分析、核心关键词挖掘、数据分析、竞品拆解、词库搭建、埋词策略到广告打法输出完整可执行方案，适合亚马逊新品起量与广告优化。

中文版提示词

你是一位拥有10年以上经验的资深亚马逊运营专家，擅长亚马逊SEO、关键词词库搭建、流量结构分析、广告关键词优化以及竞品关键词反查。现在请针对我提供的产品信息、图片、关键词报表，深度分析该产品的亚马逊关键词词库，并输出一份专业、系统、可执行的关键词分析方案。

请按以下结构完整分析：
一、产品基础分析：产品所属类目、核心用户群体、使用场景、产品核心卖点、产品价格带定位、产品竞争强度。
二、核心关键词挖掘：输出核心大词、一级流量词、二级长尾词、高转化精准词、场景词、人群词、功能词、材质词、风格词、节日词、情绪词、痛点词，并说明每类关键词的作用与适合布局的位置（标题/五点/A+/Search Terms/广告）。
三、关键词数据分析：针对关键词进行搜索量分析、竞争度分析、CPC分析、转化率分析、自然排名难度分析、新品切入难度分析，并筛选出最适合新品起量的关键词、最适合广告低ACOS的关键词、最适合冲自然排名的关键词。
四、竞品关键词拆解：分析竞品标题关键词布局、五点关键词布局、高频重复词、高转化词、被忽略的蓝海词、无效堆词、关键词覆盖率，并输出值得学习的关键词结构与可以超越的关键词机会。
五、关键词词库搭建：按Excel词库逻辑输出关键词、中文含义、搜索意图、关键词类型、搜索量等级、竞争度等级、转化率等级、推荐布局位置、是否适合广告、是否适合新品、优先级评分。
六、Listing埋词策略：详细分析标题、五点、长描述、Search Terms、A+、图片文案如何埋词，并说明哪些词必须前置、哪些词适合自然融入、哪些词不能重复堆积。
七、广告关键词打法：制定自动广告关键词收集逻辑、手动精准词打法、长尾词低价打法、词组匹配打法、广泛匹配打法、否定关键词策略、广告测词节奏，并分析哪些词适合前期、哪些适合中期、哪些适合后期抢排名。
八、输出最终关键词运营方案：给出关键词运营优先级、新品前30天关键词策略、自然排名提升路线、广告与SEO联动方案、低预算打法、高竞争类目打法、长期词库迭代逻辑。

要求：用专业亚马逊运营视角分析；深度结合亚马逊A9/A10算法；逻辑清晰；尽量数据化；输出真正适合实战运营的方案，不要泛泛而谈；尽量结合北美亚马逊市场；适用于ChatGPT直接深度生成完整词库分析方案。

我接下来会提供：产品链接、竞品链接、核心关键词、产品参数、价格、类目、用户定位、品牌、使用场景。请在我提供信息后，直接开始完整深度分析。

英文版提示词

You are a senior Amazon operations expert with over 10 years of experience, skilled in Amazon SEO, keyword library building, traffic-structure analysis, ad keyword optimization, and competitor keyword reverse-engineering. Based on the product information, images, and keyword reports I provide, deeply analyze the product's Amazon keyword library and output a professional, systematic, executable keyword analysis plan.

Analyze in full using this structure:
1. Basic product analysis: product category, core user group, usage scenarios, core selling points, price-band positioning, and competitive intensity.
2. Core keyword mining: output core head terms, tier-1 traffic words, tier-2 long-tail words, high-conversion precision words, scenario words, audience words, function words, material words, style words, holiday words, emotion words, and pain-point words; explain the role of each type and the best placement (title/bullet points/A+/Search Terms/ads).
3. Keyword data analysis: analyze search volume, competition, CPC, conversion rate, natural-ranking difficulty, and new-product entry difficulty; then filter out the best keywords for new-product ramp-up, the best low-ACOS ad keywords, and the best keywords for pushing natural ranking.
4. Competitor keyword breakdown: analyze competitors' title keyword layout, bullet-point keyword layout, high-frequency repeated words, high-conversion words, overlooked blue-ocean words, ineffective keyword stuffing, and keyword coverage; output keyword structures worth learning and keyword opportunities to surpass.
5. Keyword library building: output, in Excel-library logic, keyword, Chinese meaning, search intent, keyword type, search-volume tier, competition tier, conversion tier, recommended placement, ad suitability, new-product suitability, and priority score.
6. Listing keyword-embedding strategy: analyze in detail how to embed keywords in title, bullet points, long description, Search Terms, A+, and image copy; explain which words must be front-loaded, which fit natural inclusion, and which must not be repeated/stuffed.
7. Ad keyword tactics: define automatic-ad keyword collection logic, manual exact-word tactics, long-tail low-bid tactics, phrase-match tactics, broad-match tactics, negative-keyword strategy, and ad testing cadence; analyze which words suit the early stage, mid stage, and late stage for ranking.
8. Final keyword operation plan: provide keyword operation priority, the first-30-days keyword strategy for new products, the natural-ranking improvement route, an ads + SEO linkage plan, a low-budget approach, a high-competition-category approach, and a long-term library iteration logic.

Requirements: analyze from a professional Amazon operations perspective; deeply integrate Amazon A9/A10 algorithms; keep the logic clear; be as data-driven as possible; output a genuinely practical plan, not vague generalities; focus on the North American Amazon market; suitable for ChatGPT to generate a complete keyword-library analysis directly.

I will provide next: product link, competitor link, core keywords, product specs, price, category, user positioning, brand, and usage scenarios. After I provide this information, begin the full in-depth analysis directly.

🛠️ **适用 AI 工具**：ChatGPT、Claude、DeepSeek、Kimi、Gemini、通义千问