SEO 与 GEO · SEO Keyword Research

SEO 关键词研究 Skill

发现、筛选和聚类关键词,构建与用户意图和业务价值对应的主题地图。

结合自动补全、People Also Ask、长尾词和竞争页面,把原始词表整理成可以直接进入内容规划的关键词集群。

WHAT IT SOLVES

发现、筛选和聚类关键词,构建与用户意图和业务价值对应的主题地图

发现、筛选和聚类关键词,构建与用户意图和业务价值对应的主题地图。跑完你拿到的是带搜索量、难度、意图、优先级和目标页面的关键词清单,中间一共 8 步。

最适合的真实场景

  • 01

    为新网站或新产品建立首批关键词清单、内容集群和页面规划。

  • 02

    从 Google 自动补全、PAA、相关搜索和社区问题中扩展低竞争长尾词。

  • 03

    分析竞品标题、H1、URL 和排名主题,找出对方覆盖而自己缺失的内容机会。

  • 04

    依据搜索意图与 SERP 重叠,将大量关键词整理成支柱页、集群页和独立落地页。

  • 05

    结合现有 GSC 排名或 PPC 转化数据,为 SEO 内容和页面优化安排优先级。

  • 06

    检查产品定位能否形成清晰的功能型关键词或输入到输出型搜索表达。

你要先准备的资料

  • 产品或服务说明、目标用户和主要转化目标。
  • 核心市场、目标语言和重点国家或地区。
  • 已有网站、内容清单或希望分析的竞品域名。
  • 可用的 Keyword Planner、Google Trends、GSC、Ahrefs、SEMrush 等数据权限;缺少付费工具时可使用免费发现方法。
  • 需要处理的 CSV 或 Excel 数据及其关键词、搜索量、难度、意图等列信息。

跑完你会拿到什么

  • 带搜索量、难度、意图、优先级和目标页面的关键词清单。
  • 关键词到现有页面或新建页面的映射表。
  • 按主题和搜索意图组织的支柱页与集群页地图。
  • 竞品已有排名而本站缺失的内容机会清单。
  • 包含影响、成本和实施顺序的 SEO 行动计划。
  • 可用于 SEO 与 Google Ads 协同的关键词和否定词建议。

METHOD

读取业务背景 → 建立种子词 → 扩展真实搜索 等 8 个环节

一共 8 步。其中 5 项能力决定了换个 AI 会不会更麻烦。

  1. 读取业务背景确认产品或服务、目标人群、增长目标和现有项目资料,避免脱离产品定位收集泛词。
  2. 建立种子词从用户痛点、客户语言、产品功能、竞品页面和现有内容中提取第一批核心主题。
  3. 扩展真实搜索使用自动补全字母法、问题词、位置变体、PAA、相关搜索和多平台讨论扩展长尾需求。
  4. 判断搜索意图结合修饰词和实际 SERP,将关键词归入信息、导航、商业、交易或本地意图,并观察混合结果。
  5. 聚类并建图根据 SERP 重叠、语义接近和意图一致性分组,决定共用页面还是拆分页面,并形成支柱与集群结构。
  6. 评估机会综合搜索量、难度、CPC、SERP 特征、当前排名、产品适配度和转化可能性筛除低价值词。
  7. 映射页面为每个优先关键词指定现有页面、新建页面或内容类型,检查关键词冲突与内容缺口。
  8. 形成执行报告输出关键词表、页面映射、竞品缺口、主题地图和按影响与实施难度排序的行动计划。

这个 Skill 用到的能力: 读本地资料操作前确认页面预览联网检索长上下文 。不同 AI 对这些能力的支持程度不一样,所以同一个 Skill 换个 AI,有几步做法会变。

WORKED EXAMPLE

为一款 B2B 会议纪要产品规划 SEO 主题地图

为一款 B2B 会议纪要产品规划 SEO 主题地图

产品团队准备建设英文内容站,希望找到与会议转写、纪要整理和行动项提取相关的高意图关键词,并明确每个词应该落在哪类页面。

  1. 从产品功能、客户问题和竞品页面建立会议转写、纪要生成、行动项等种子主题。
  2. 利用自动补全、问题修饰词和竞品页面扩展长尾词,并记录实际 SERP 类型。
  3. 按信息、商业和交易意图聚类,依据 SERP 重叠决定页面合并或拆分。
  4. 结合产品匹配度、难度和转化意图,形成优先级与页面映射。

预期结果:输出一份可进入内容制作和网站规划的关键词报告,包含关键词表、主题集群、目标页面、竞品缺口和首批实施顺序。

PITFALLS · VERIFICATION

只看高搜索量,忽略长尾词的商业意图、竞争难度和产品适配度

最常踩的坑

  • 只看高搜索量,忽略长尾词的商业意图、竞争难度和产品适配度。
  • 直接翻译其他市场的关键词列表,没有在目标语言和当地搜索环境中重新研究。
  • 仅依赖关键词工具,漏掉自动补全、PAA、相关搜索和客户真实问题。
  • 仅按语义相似聚类,没有检查实际 SERP 是否支持共用一个页面。
  • 产出关键词清单后没有映射页面和执行优先级,无法进入内容生产。

怎么确认这次跑对了

  • 已经形成可检查的带搜索量、难度、意图、优先级和目标页面的关键词清单,关键判断能回到输入资料或过程证据。
  • 已经形成可检查的关键词到现有页面或新建页面的映射表,关键判断能回到输入资料或过程证据。
  • 已经形成可检查的按主题和搜索意图组织的支柱页与集群页地图,关键判断能回到输入资料或过程证据。
  • 已逐项检查「只看高搜索量,忽略长尾词的商业意图、竞争难度和产品适配度」等高频问题,并记录需要人工确认的下一步。
SEO 关键词研究 Skill适合哪些岗位使用?

SEO、内容营销、独立站、程序化页面团队。典型场景包括为新网站或新产品建立首批关键词清单、内容集群和页面规划;从 Google 自动补全、PAA、相关搜索和社区问题中扩展低竞争长尾词;分析竞品标题、H1、URL 和排名主题,找出对方覆盖而自己缺失的内容机会。

开始前需要准备什么资料?

至少需要产品或服务说明、目标用户和主要转化目标、核心市场、目标语言和重点国家或地区、已有网站、内容清单或希望分析的竞品域名。资料越具体,结果越能直接用于决策。

最后能得到什么可检查的结果?

带搜索量、难度、意图、优先级和目标页面的关键词清单、关键词到现有页面或新建页面的映射表、按主题和搜索意图组织的支柱页与集群页地图。每项都可以逐条核对来源和数字。

哪些情况下结果会不可靠?

只看高搜索量,忽略长尾词的商业意图、竞争难度和产品适配度;直接翻译其他市场的关键词列表,没有在目标语言和当地搜索环境中重新研究。出现这些情况时需要人工复核。

支持哪些 AI Agent?

已适配 WorkBuddy、OpenClaw、Hermes Agent、Codex、Claude Code、TRAE、ZCode 共 7 种,每种都有独立的安装说明和能力对照。

ORIGINAL SOURCE

2 个原始文件,20 个文档章节,固定在 70987bad

上游原文完整保留在加搜服务器上,可逐节查看,也可以直接下载。 当前镜像共 2 个文件、11.5 KB。

原始 Skill 文档 上游原文完整保留,中文概述已转换为营销任务、输入资料和交付结果。

SEO Content: Keyword Research

Guides keyword research for SEO: finding target keywords, assessing difficulty, understanding search intent, and building topical maps. ~95% of keywords get fewer than 10 searches/month; low-volume, high-intent terms often yield faster rankings and conversion.

When invoking: On first use, if helpful, open with 1–2 sentences on what this skill covers and why it matters, then provide the main output. On subsequent use or when the user asks to skip, go directly to the main output.

Initial Assessment

Check for project context first: If .claude/project-context.md or .cursor/project-context.md exists, read it for product, audience, and positioning.

Identify:

  1. Product/service: What you offer
  2. Audience: Who searches for it
  3. Goals: Traffic, conversions, brand
  4. Tool access: Google Keyword Planner, Google Trends, or SEO tools

Discovery Methods

Base Discovery
Method Purpose
User perspective What pain points? What would they search? Customer language from product context
Tool expansion Related keywords, questions, suggestions; Google autocomplete, PAA, Related Searches
Competitor reverse Analyze competitor titles, H1, URL; identify topics they rank for; find gaps (#4–10 = opportunity) — see competitor-research
Google PAA People Also Ask and Related Searches; high-value signals from real user behavior
Extract from article When auditing existing content: extract seed keywords from title, H1, H2s, meta keywords, first 100 words; then search "[primary keyword]" or "[primary keyword] related keywords" for opportunities; use "[primary keyword]" site:competitor.com if competitors known
Google Autocomplete (Long-Tail Discovery)

Google autocomplete reflects real user searches; suggestions only appear if queries have actual traffic. Free; often uncovers low-volume long-tail that keyword tools miss. ~70% of search traffic is long-tail; lower competition, higher conversion.

Alphabet method (seed + space + letter):

  • Type seed keyword + space + each letter: keyword a, keyword b, ... keyword z
  • Record relevant suggestions; repeat with numbers 0-9
  • Example: SEO a -> "SEO audit," "SEO agency"; SEO b -> "SEO basics," "SEO best practices"

Position variants (seed in different positions):

  • Prefix: a keyword, b keyword (discover what users add before)
  • Suffix: keyword a, keyword b (most common; alphabet method)
  • Middle: how to keyword a, best keyword for (question + modifier combos)

Question modifiers:

  • how to keyword, what is keyword, why keyword, when to keyword, keyword vs
  • keyword for beginners, keyword for small business, keyword without

Why it works: Keyword tools filter low-volume terms; autocomplete only shows queries with real traffic. Use with PAA and Related Searches for full coverage. Categorize results by intent (informational, commercial, transactional).

Incremental Discovery
  • User feedback: Support, community, reviews, NPS—high-frequency questions = unmet search demand
  • Multi-platform search: Reddit, Quora, X (Twitter), Hacker News—real questions and discussions

Search Intent

Intent Content type Example
Informational Blog, guide, FAQ "how to optimize sitemap"
Navigational Brand page "alignify login"
Commercial Comparison, review "SEO tools comparison"
Transactional Product, pricing "best SEO tool pricing"
Intent Identification

Modifier words (often signal intent):

Intent Modifiers
Informational "how," "what," "why," "guide," "tutorial"
Commercial "best," "compare," "vs," "review," "top"
Transactional "buy," "price," "cheap," "coupon," "free shipping"
Local Location names

SERP check: Search the term—knowledge cards/Wiki → informational; product lists/reviews → commercial; brand sites → navigational. Broader terms often show mixed SERP. See serp-features for feature types.

Long-Tail Expansion

  • Google Autocomplete: Alphabet method, position variants, question modifiers; see above. Primary source for long-tail.
  • Intent modifiers: Core + "how," "best," "vs," "compare," "price"
  • Question words: "how to," "what is," "why," "when"
  • Functional modifiers: Core + "-er/-or" (e.g., "image optimizer" for tool-type queries); often higher conversion
  • Clustering: Group by SERP overlap (same top pages), semantic similarity, or intent.

Keyword Clustering & Topical Map

Method Use
SERP overlap Keywords with overlapping top-ranking pages → same cluster
Semantic Group by meaning, LSI, related concepts
Intent-based Group by intent; separate pages if intent differs within cluster

Pillar–cluster (map keywords to structure):

  • Pillar (Hub): Broad topic page; links to clusters
  • Cluster (Spoke): Focused subtopic; links back to pillar
  • Target long-tail first; then pillar. Interlink clusters within topic.
  • See content-strategy for full pillar-cluster planning and implementation.

Evaluate & Screen

Factor Consider
Search volume Monthly searches; ~100+/month typical floor; niche can relax
Keyword difficulty (KD) New sites target lower KD
CPC Higher CPC often = stronger commercial intent
SERP features Featured Snippet, PAA, zero-click; SERP features can satisfy intent without click—affects real traffic; see serp-features (Zero-Click section), featured-snippet
Screening order 1) Remove irrelevant 2) Filter very low volume 3) Assess achievability 4) Prioritize commercial/transactional

Product Positioning Test (SEO Fit)

Test if positioning is clear enough for search:

  • XXX + Function words: Generator, Creator, Maker, Builder, Changer, Shortener, Scraper, Converter, Downloader, Translator, Extender, Summarizer, Resizer, Remover, Extractor, Recorder, Rewriter, Solver, Calculator; or Platform, Tool, Software, App, Provider, Assistant, Copilot
  • Input + to + Output: e.g., "image to video," "text to speech"—clear input/output signals intent

Agent/Copilot products: Pure native Agent hard to grow via SEO; users rarely search "agent." Release related features first (e.g., CRM, sales bot for sales agent) to build traffic, then funnel to Agent product.

Principles

  • Core rule: Someone must search it—validate with tools; avoid inventing terms
  • Functional keywords: Tool-type (-er/-or) often convert better; users are closer to action
  • Multi-language: Re-research in target language; don't translate existing lists. See translation for translation workflow.

SEO–PPC Keyword Synergy

Keyword research serves both SEO and Google Ads. Align both channels to avoid duplication, cannibalization, and wasted spend.

Data flow Use
keyword-research → google-ads Keyword list, clusters, intent; support terms (login, forum, pricing) → negative keywords for PPC
google-ads → keyword-research PPC conversion rate, Search Terms report → SEO priority; high-converting PPC terms = worth ranking organically
keyword-research → landing-page Clusters → dedicated LP per intent; PAA questions → FAQ sections
GSC organic rank 4+ If you rank well organically, consider reducing/pausing PPC on those terms to avoid cannibalization

PPC data for SEO priority: SEO ROI ≈ (Organic clicks × PPC conversion rate × Customer value) − SEO cost. Use PPC conversion data to validate which keywords to pursue in organic.

Reference: Backlinko – SEO and PPC: 8 Smart Ways to Align

Data Sources

Source Use
Ahrefs Keywords Explorer, Site Explorer
SEMrush Keyword Overview, Organic Research
GSC Search queries, impressions, clicks
GA Traffic by landing page
PostHog Feature/search usage

Report Workflow

  1. Parse — Read Excel/CSV, infer keyword, volume, KD, intent, etc. from headers
  2. Enrich — Web search, visit competitor/product pages; read project-context.md if present
  3. Build — Structure data for report
  4. Generate — Output report in chosen format

Output Format

  • Keyword list with volume, KD, intent
  • Keyword mapping to pages/content
  • Content gaps (competitors rank, you don't)
  • Priority ranking for implementation
  • Topical map (cluster → pillar → page mapping)
Report Structure Reference
Section Content
Executive Summary Priorities (top 3)
Keyword Overview Total keywords, primary intent, avg KD, content gaps count
Keyword List Keyword, volume, KD, intent, priority, target page
Keyword Mapping Page/URL, target keywords, status
Content Gaps Keywords competitors rank for that you don't
Action Plan Priority, action, impact, effort
Appendix Search intent reference (Informational, Commercial, Transactional, Navigational)

Related Skills

  • seo-strategy: SEO workflow, Product-Led SEO, audit approach; keyword research is Content phase
  • google-ads: Keywords inform Search targeting; PPC data feeds back into SEO priority
  • paid-ads-strategy: When to use paid vs organic; channel selection
  • content-strategy: Keywords inform content plan; topic clusters
  • content-optimization: Keyword placement, density vs stuffing, H2 keywords
  • title-tag, meta-description: Keywords in title, description
  • heading-structure: Keywords in H1, H2
  • link-building: Keywords inform link targets
  • serp-features: SERP features in keyword screening; PAA, Featured Snippet
  • featured-snippet: Snippet-worthy query targeting
  • competitor-research: Competitor keyword/topic analysis; reverse engineering
  • faq-page-generator: PAA questions to FAQ sections; question-based keyword to FAQ content

来源与版本声明

本页面由加搜科技整理业务说明并托管安装文件。原始 Skill 来源渠道:GitHub Marketing Skills; 原始项目名称:keyword-research; 固定版本:70987bad4ebe; 许可证:MIT。技能包内保留完整出处和许可证说明。

各 Agent 能力说明参考对应官方文档。页面不提供外部跳转。

INSTALL

SEO 关键词研究 Skill v1.0.0,ZIP 带 SHA256 校验

默认做法是把提示词复制给 AI Agent,让它自己下载并安装。提示词里已经写清要用完整 ZIP、装完报告目录、并先跑一个小任务验证。

METHOD 01 · 交给 AI 自己装

复制提示词

适合大多数情况。Agent 会下载 ZIP、解压、放到正确目录,并在缺少权限时告诉你需要手工做哪一步。

请帮我把「SEO 关键词研究 Skill」安装到我正在使用的 AI Agent。
1. 下载完整 Skill ZIP:https://www.vibemarketing.work/packages/skill-seo-keyword-research/1.0.0/skill-seo-keyword-research.zip
   注意:网页 HTML 不能当作 Skill 文件安装,必须使用 ZIP 里的完整文件。
2. 解压后保留 SKILL.md 及全部配套文件,按你所用 Agent 的 Skill 目录规则安装。
3. 安装完成后告诉我实际安装目录。
4. 用一个只读小任务验证 Skill 已被识别。
5. 如果你没有联网、下载或写目录权限,请直接告诉我哪几步需要我手工完成。
参考:原始 SKILL.md https://www.vibemarketing.work/raw/skill-seo-keyword-research/SKILL.md;安装指南 https://www.vibemarketing.work/agent-install/skill-seo-keyword-research.md

FURTHER READING

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以上文章正在编辑中,上线后可直接点击阅读。即将上线,敬请期待。

按这个 Skill 的产出能不能直接被下一个 Skill 用上来推荐,不是固定名单。多数情况下按顺序跑完一组,比单独用一个效果更好。

海外广告投放#06

Google Ads 投放 Skill

规划 Google 搜索、展示、购物、视频和 Performance Max 广告的结构与优化动作。

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