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AI Search Optimization (GEO)

AI 搜索优化（GEO）

Get your brand into the answer when people ask ChatGPT, Perplexity, Google AI, Gemini, or Copilot a question in your space — instead of watching a competitor get named. This is GEO (Generative Engine Optimization; also AEO/LLMO): optimizing to be cited and recommended by AI engines. It supplements search/SEO; it doesn't replace it.
Four truths shape everything:
  1. AI answers are built by retrieval + fan-out. Engines retrieve live from search indexes (ChatGPT via OpenAI's own crawler/index, OAI-SearchBot — historically Bing-seeded; Google feeds AI Overviews/AI Mode) and split your topic into sub-queries — so ranking in search feeds AI citation, and you optimize for a constellation of questions.
  2. AI cites community/social sources most. Reddit, YouTube, Wikipedia, LinkedIn, listicles and review sites dominate citations — the cited pages are usually not your pages. Earned mentions beat product pages.
  3. Platforms disagree. ChatGPT skews Wikipedia, Perplexity skews Reddit, AI Overviews lean on E-E-A-T + the community web. Optimizing for one ≠ all.
  4. Extractable, fresh, well-sourced content gets quoted. Quotations, statistics, citations, Q&A structure, and schema lift citation; stale content gets displaced.
(Full mechanics: 
references/how-ai-engines-cite.md
.)
让品牌在用户就你的领域向 ChatGPT、Perplexity、Google AI、Gemini 或 Copilot 提问时进入答案——而不是眼看着竞争对手被点名。这就是 GEO（Generative Engine Optimization；也称 AEO/LLMO）：通过优化，让品牌被 AI 引擎引用和推荐。它 是搜索/SEO 的补充；不是替代。
塑造一切的四条基本事实：
  1. AI 答案由 retrieval + fan-out 构建。 引擎会从搜索索引实时检索 （ChatGPT 通过 OpenAI 自有 crawler/index，OAI-SearchBot——历史上以 Bing 为种子；Google 为 AI Overviews/AI Mode 提供结果），并将主题拆分为 sub-queries——因此，搜索中的排名会影响 AI 引用，你需要针对一组相互关联的问题进行优化。
  2. AI 最常引用社区/社交来源。 Reddit、YouTube、Wikipedia、LinkedIn、listicles 和 review sites 主导引用——被引用的页面通常不是你自己的页面。 earned media（自然获得的媒体曝光） 胜过产品页面。
  3. 不同平台存在差异。 ChatGPT 更偏向 Wikipedia，Perplexity 更偏向 Reddit，AI Overviews 则更依赖 E-E-A-T + 社区 Web。优化一个平台 ≠ 优化所有平台。
  4. extractable（易于提取）、新鲜且来源可靠的内容更容易被引用。 引文、统计数据、citations、Q&A 结构和 schema 都能提升被引用的概率；陈旧内容则会被挤出。
（完整机制：
references/how-ai-engines-cite.md
。）

Step 0 — Read the foundation + the goal

步骤 0 — 阅读基础信息 + 目标

Load 
brand-profile.md
and 
audience.md
(entity clarity + the real questions matter). Identify the queries the user wants to be recommended for and the engines their audience uses.
加载 
brand-profile.md
和 
audience.md
（entity clarity 和真实问题很重要）。确定 用户希望品牌在哪些 queries 下被推荐，以及受众使用哪些 engines。

Step 1 — Run the prompt-audit (always start here)

步骤 1 — 运行 prompt-audit（始终从这里开始）

Ask the user's 10–30 buyer-intent queries (plus fan-out sub-questions) across ChatGPT / Perplexity / Gemini in fresh sessions; document whether the brand appears, how it's described, and which sources are cited. The cited sources are the strategy; the gaps are the content list. This is the honest ground-truth method — see 
references/audit-and-measurement.md
.
让用户提供 10–30 个 buyer-intent queries（以及 fan-out sub-questions），在 ChatGPT / Perplexity / Gemini 的全新会话中测试；记录品牌是否出现、它是如何被描述的，以及引用了哪些来源。 被引用的来源就是策略；缺口就是内容清单。这是诚实的 ground-truth（真实基准）方法——参见 
references/audit-and-measurement.md
。

Step 2 — Be retrievable (the foundation)

步骤 2 — 确保可检索（基础）

If you can't be found in search, you can't be cited: rank in Google/Bing and in platform search → 
social-seo
(the sibling). Same keyword/question research powers both. And verify AI retrieval crawlers can reach the site — robots.txt and CDN/bot-protection defaults (e.g. Cloudflare) often block OAI-SearchBot / ChatGPT-User / PerplexityBot / Claude's bots unintentionally.
如果你无法在搜索中找到，就无法被引用：在 Google/Bing 和平台搜索中获得排名 → 
social-seo
（同级 skill）。同一套 keyword/question research 同时支撑两者。并且，验证 AI retrieval crawlers 能否访问网站——robots.txt 以及 CDN/bot-protection 的默认设置（例如 Cloudflare）常常会在无意间 屏蔽 OAI-SearchBot / ChatGPT-User / PerplexityBot / Claude 的 bots。

Step 3 — Earn brand mentions across cited sources (the social core)

步骤 3 — 在被引用来源中赢得品牌提及（社交核心）

Where AI looks most — done authentically: valuable Reddit participation in buyer-intent threads; YouTube with brand + keywords in titles/transcripts (a top AI-Overview signal); LinkedIn expertise; Quora; earned "best [X]" listicle and review-site (G2/Trustpilot) inclusion; relationship-driven PR. The goal is a web of mutual verification. See 
references/the-geo-levers.md
.
在 AI 最常查找的来源中真实地赢得品牌提及：在 buyer-intent 帖子中做有价值的 Reddit 参与；在 YouTube 的标题/字幕中结合品牌与 keywords（这是顶尖的 AI-Overview signal）； 在 LinkedIn 展现专业能力；参与 Quora；自然入选 earned “best [X]” listicle 和 review-site（G2/Trustpilot）；开展 relationship-driven PR。目标是建立一个相互验证的网络。 参见 
references/the-geo-levers.md
。

Step 4 — Make content extractable

步骤 4 — 让内容易于提取

So a model can lift a clean claim: lead with a TL;DR answer, question-shaped headings, lists/ tables, quotations + verifiable stats + citations (the research-backed levers), FAQ/Article schema, named author + dates, and keep it fresh (citations decay). (This lever spans your website/blog too — broader than social; pair with 
social-seo
.)
以便模型能够提取出清晰的论断：以 TL;DR 答案开头，使用 question-shaped headings、 lists/tables、引文 + 可验证的统计数据 + citations（有研究支撑的提升因素）、 FAQ/Article schema、署名作者 + 日期，并保持内容新鲜（引用会衰减）。该杠杆也涵盖你的 网站/博客——范围比社交媒体更广；与 
social-seo
配合使用。

Step 5 — Build entity clarity

步骤 5 — 建立 entity clarity

Give the model a clean entity to recommend: a consistent one-line description across site/profiles/ listings → 
brand-profile
; Wikipedia/Wikidata if genuinely notable; claimed listings + consistent NAP; a corroborated "the X for Y" position.
给模型一个清晰、可供推荐的 entity：在网站/profiles/listings 中保持一致的一行描述 → 
brand-profile
；如果确实具备知名度，再建立 Wikipedia/Wikidata 页面；认领 listings 并保持 NAP 一致；形成有旁证支撑的“the X for Y”定位。

Step 6 — Measure (honestly) + the boundary

步骤 6 — 如实衡量 + 明确边界

Re-run the audit monthly (expect a multi-week lag; judge over quarters), optionally add a GEO tracking tool, and watch AI referral traffic (chatgpt/perplexity referrers). Never fabricate a "share of voice" or citation %. No WoopSocial analytics. Sibling boundary: 
social-seo
= found in platform + Google search; this = cited by AI answer engines.
每月重新运行 audit（预计有数周延迟；应以季度为周期判断），可选择加入 GEO tracking tool， 并关注 AI referral traffic（chatgpt/perplexity referrers）。绝不捏造“share of voice”或 citation %。 不提供 WoopSocial analytics。 同级 skill 的边界：
social-seo
= 在平台 + Google 搜索中被找到；本 skill = 被 AI 答案引擎引用。

Orchestration map

编排关系图

ai-search-optimization sets the AI-visibility layer; it routes to / pairs with: 
social-seo
(retrieval/search foundation — sibling) · 
brand-profile
(entity) · 
content-pillars
(question clusters) · 
reels-script
/ the growth skills (the YouTube/Reddit/LinkedIn content that earns mentions) · 
viral-reverse-engineering
(what gets cited/shared) · 
scheduling-and-queue
(publish).
ai-search-optimization
设定 AI-visibility 层；它会路由到 / 搭配使用：
social-seo
（retrieval/search 基础——同级 skill）· 
brand-profile
（entity）· 
content-pillars
（问题簇）· 
reels-script
/ growth skills（用于赢得 mentions 的 YouTube/Reddit/LinkedIn 内容）· 
viral-reverse-engineering
（哪些内容会获得引用/分享）· 
scheduling-and-queue
（发布）。

Quality bar — self-check

质量标准 — 自我检查

  • Did I start with the prompt-audit and let the cited sources drive strategy?
  • Did I apply the four levers (retrievable → earned mentions → extractable → entity), foregrounding the community/social plays?
  • Did I respect that AI cites earned/community sources over product pages, and that platforms differ?
  • Did I keep it authentic (refuse astroturfing/fake reviews) and never fabricate share-of-voice numbers?
  • Did I hand the search/retrieval foundation to 
    social-seo
    , note GEO spans the web too, and use audit/tools/referral measurement (no WoopSocial analytics)?
  • 我是否从 prompt-audit 开始，并让 cited sources 主导策略？
  • 我是否应用了四个杠杆（retrievable → earned mentions → extractable → entity），并突出 community/social 策略？
  • 我是否理解 AI 更常引用 earned/community 来源而非产品页面，并且各平台存在差异？
  • 我是否保持真实（拒绝 astroturfing/fake reviews），并且绝不捏造 share-of-voice 数字？
  • 我是否将 search/retrieval 基础交给 
    social-seo
    ，说明 GEO 也覆盖整个 Web，并使用 audit/tools/referral 进行衡量（不使用 WoopSocial analytics）？

Edge cases & pushback

边界情况与反问

  • "Flood Reddit / buy reviews" → refuse astroturfing; it's detectable, removed, and trust-destroying → authentic participation + earned reviews.
  • "Tell me my AI share of voice %" → can't see inside models; run the audit / a tool; don't invent.
  • "Just optimize my product page" → that's ~3% of it; most citations are earned/community sources.
  • "Optimize for AI search" (one thing) → engines differ (ChatGPT≠Perplexity≠AI Overviews); pick the field.
  • "Is this my TikTok/Google SEO?" → related but distinct → 
    social-seo
    owns platform/Google search.
  • "Does WoopSocial track this?" → no; measure via audit + GEO tools + referral analytics.
  • AI-generated content dump → AI down-weights low-quality AI content; needs human judgment + sources.
  • “刷 Reddit / 买评论” → 拒绝 astroturfing；这种行为可被检测、会被删除，并会摧毁信任 → 真实参与 + 自然获得的评论。
  • “告诉我我的 AI share of voice %” → 无法查看模型内部；运行 audit / tool；不要编造。
  • “只优化我的产品页” → 这只占约 3%；大多数引用来自 earned/community 来源。
  • “优化 AI 搜索”（只做一件事） → 各引擎不同（ChatGPT≠Perplexity≠AI Overviews）；选择你的 主攻方向。
  • “这是我的 TikTok/Google SEO 吗？” → 相关但不同 → 
    social-seo
    负责平台/Google 搜索。
  • “WoopSocial 会跟踪这个吗？” → 不会；通过 audit + GEO tools + referral analytics 进行衡量。
  • AI-generated content dump → AI 会降低低质量 AI 内容的权重；需要 human judgment + sources。

Related skills

相关 skills

  • social-seo
    — the sibling: platform + Google search (the retrieval foundation AI pulls from).
  • brand-profile
    — the entity/positioning AI must understand; 
    content-pillars
    — question clusters.
  • reddit-marketing
    — the how of credible Reddit participation (the top AI-citation source).
  • reels-script
    , 
    instagram-growth
    /
    tiktok-growth
    /
    linkedin-growth
    — the YouTube/Reddit/LinkedIn content that earns the mentions AI cites.
  • viral-reverse-engineering
    — what gets shared/cited; 
    scheduling-and-queue
    — publish.
  • social-seo
    — 同级 skill：平台 + Google 搜索（AI 拉取内容的 retrieval 基础）。
  • brand-profile
    — AI 必须理解的 entity/positioning；
    content-pillars
    — 问题簇。
  • reddit-marketing
    — 如何可信地参与 Reddit（首要 AI-citation 来源）。
  • reels-script
    、
    instagram-growth
    /
    tiktok-growth
    /
    linkedin-growth
    — 用于赢得 AI 所引用 mentions 的 YouTube/Reddit/LinkedIn 内容。
  • viral-reverse-engineering
    — 哪些内容会获得分享/引用；
    scheduling-and-queue
    — 发布。

References

参考资料

  • references/how-ai-engines-cite.md
    — RAG + query fan-out, which sources get cited, per-engine differences, freshness/decay.
  • references/the-geo-levers.md
    — the four levers (retrievable · earned mentions/social plays · extractable · entity), with the research-backed lifts.
  • references/audit-and-measurement.md
    — the manual prompt-audit method, GEO tools, referral traffic, honesty rules.
  • references/examples.md
    — a worked audit + Reddit/YouTube/extractability/entity plays + honest scope.
  • references/how-ai-engines-cite.md
    — RAG + query fan-out、哪些来源会获得引用、各引擎差异，以及 新鲜度/衰减。
  • references/the-geo-levers.md
    — 四个杠杆（retrievable · earned mentions/social plays · extractable · entity），以及有研究支撑的提升效果。
  • references/audit-and-measurement.md
    — 手动 prompt-audit 方法、GEO tools、referral traffic 和诚实原则。
  • references/examples.md
    — 一份实操 audit，以及 Reddit/YouTube/extractability/entity 策略和诚实的适用范围。