# Gingiris SEO Geo > You're publishing content but Google doesn't rank you. Or worse — AI search engines cite your competitors, not you. This is the dual-engine playbook: rank on Google AND get cited by ChatGPT/Perplexity/Claude simultaneously. What's inside: • E-E-A-T writing voice system (sound authoritative to both Google and AI) • Keyword funnel strategy (TOFU/MOFU/BOFU → landing page mapping) • JSON-LD schema templates (FAQPage, HowTo, Article, Product) • Comparison/alternatives page SOP (highest-converting SEO content type) • GEO content patterns for AI citation + AI crawler configuration • IndexNow setup for instant indexing Built from: gingiris.tools 0 → indexed in 90 days. AFFiNE SEO-driven discovery to 60K stars. 150+ AI startup consultations. Triggers: "SEO" | "SEO audit" | "site audit" | "technical SEO" | "content SEO" | "SaaS SEO" | "programmatic SEO" | "SEO daily report" | "page-1 keywords" | "首页关键词" | "GEO" | "Generative Engine Optimization" | "answer engine optimization" | "AEO" | "AI search optimization" | "ChatG - Skill: `gingiris-1031/gingiris-seo-geo-2` (Agent Skill, multi-file: 6 files) - Install (CLI): `npx skillmds@latest add gingiris-1031/gingiris-seo-geo-2` - Raw SKILL.md: https://api.skillmd.com/api/skills/gingiris-1031/gingiris-seo-geo-2/raw - Safety review: pending - Works with: Claude Code, Claude.ai, OpenAI Codex - Category: Product & Planning - Author: gingiris-1031 (https://skillmd.com/u/gingiris-1031) - Updated: 2026-09-22 - Page: https://skillmd.com/skills/gingiris-1031/gingiris-seo-geo-2 --- ## 📦 Install ```bash npx skills add Gingiris-1031/gingiris-seo-geo ``` **What you get after installing:** - E-E-A-T content framework - JSON-LD schema templates - Keyword funnel strategy --- # SEO & GEO 双引擎增长手册 > Language / 语言: [中文](#中文版) | [English](#english) --- ## 中文版 > 作者：Iris (生姜iris) | 版本：v1.0 (2026年4月) ### 核心理念 SEO 和 GEO 不是两件事，是一件事的两面。结构化数据同时服务传统搜索和 AI 搜索。 **传统 SEO 解决「被搜到」，GEO 解决「被 AI 引用」。** 2026 年的搜索流量已经分裂为两个入口：Google/Bing 的传统排名，和 ChatGPT/Perplexity/Claude 的 AI 回答。你的内容必须同时在两个战场上赢。 ### SEO + GEO 双引擎对比 | 维度 | SEO（传统搜索） | GEO（AI 搜索） | |------|----------------|----------------| | 目标 | Google/Bing 排名 | AI 回答中被引用 | | 核心信号 | 反向链接 + 关键词匹配 | 结构化数据 + E-E-A-T 真实性 | | 内容格式 | H2/H3 层级 + 长尾词覆盖 | 直接回答 + 对比表格 + FAQ Schema | | 技术手段 | XML Sitemap + Core Web Vitals | IndexNow + robots.txt 开放 AI 爬虫 | | 衡量方式 | GA4 自然流量 + Ahrefs 排名 | 手动检查 AI 引用频率 | ### 五个核心原则 1. **从 BOFU 往上做** — 先做高意向关键词（定价、对比），再做教育型内容。转化率最高的词优先。 2. **真实声音是最好的 E-E-A-T** — 不要让 AI 写得像 AI。用创始人声音、真实数字、亲历故事建立可信度。 3. **结构化 = 可引用** — Key Stats 表格、FAQ Schema、对比矩阵让 AI 引擎直接抓取引用。 4. **IndexNow 是 GEO 的基础设施** — 内容更新后秒级推送到 Bing/AI 搜索，不等爬虫。 5. **对比页是 SEO 金矿** — 每个竞品一个独立页面，截获决策期用户。 ### 详细指南 | 主题 | 文件 | 说明 | |:---|:---|:---| | 关键词漏斗策略 | [references/keyword-strategy.md](references/keyword-strategy.md) | TOFU/MOFU/BOFU 关键词矩阵与优先级 | | SEO 技术基础 | [references/seo-foundations.md](references/seo-foundations.md) | 核心页面优化、Schema、站点架构 | | GEO 优化实操 | [references/geo-optimization.md](references/geo-optimization.md) | IndexNow、AI 爬虫（搜索 vs 训练分流）、Schema 类型速查矩阵、AI 引用监测 | | 内容生产 SOP | [references/content-sop.md](references/content-sop.md) | 从选题到发布的完整流程 | | E-E-A-T 写作声音 | [references/writing-voice.md](references/writing-voice.md) | 创始人声音系统，提升真实性信号 | | 竞品对比页 SOP | [references/comparison-pages.md](references/comparison-pages.md) | 页面结构、Schema、关键词嵌入 | | **测量层 — SEO/GEO 数据系统** 🆕 | [references/measurement-layer.md](references/measurement-layer.md) | 四核心指标、Article Database、GSC API、AI 引流量、归因陷阱 | | **SEO 审计 SOP** 🆕 | [references/seo-audit.md](references/seo-audit.md) | 四相位审计（Technical→On-Page→Content→Off-Page）+ i18n/hreflang + GEO 就绪度 + P0/P1/P2 输出格式 | --- ## English > Author: Iris (生姜iris) | Version: v1.0 (April 2026) ### Core Philosophy SEO and GEO are not two separate things — they're two sides of the same coin. Structured data serves both traditional search and AI search simultaneously. **Traditional SEO solves "being found." GEO solves "being cited by AI."** In 2026, search traffic splits into two entry points: Google/Bing rankings, and AI answers from ChatGPT/Perplexity/Claude. Your content must win on both battlefields. ### SEO + GEO Dual-Engine Comparison | Dimension | SEO (Traditional Search) | GEO (AI Search) | |-----------|-------------------------|-----------------| | Goal | Google/Bing rankings | Cited in AI answers | | Core Signal | Backlinks + keyword match | Structured data + E-E-A-T authenticity | | Content Format | H2/H3 hierarchy + long-tail coverage | Direct answers + comparison tables + FAQ Schema | | Technical | XML Sitemap + Core Web Vitals | IndexNow + robots.txt allowing AI crawlers | | Measurement | GA4 organic traffic + Ahrefs rankings | Manual check of AI citation frequency | ### Five Core Principles 1. **Start from BOFU, work upward** — High-intent keywords first (pricing, comparisons), then educational content. Highest-converting terms get priority. 2. **Authentic voice is the best E-E-A-T** — Don't let AI write like AI. Use founder voice, real numbers, first-hand stories to build credibility. 3. **Structured = Citable** — Key Stats tables, FAQ Schema, comparison matrices let AI engines directly extract and cite. 4. **IndexNow is GEO infrastructure** — Push content updates to Bing/AI search in seconds, don't wait for crawlers. 5. **Comparison pages are SEO gold mines** — One dedicated page per competitor, capturing decision-stage users. ### Detailed Guides | Topic | File | Description | |:---|:---|:---| | Keyword Funnel Strategy | [references/en/keyword-strategy.md](references/en/keyword-strategy.md) | TOFU/MOFU/BOFU keyword matrix & prioritization | | SEO Technical Foundations | [references/en/seo-foundations.md](references/en/seo-foundations.md) | Core page optimization, Schema, site architecture | | GEO Optimization | [references/en/geo-optimization.md](references/en/geo-optimization.md) | IndexNow, AI crawlers (search vs training split), Schema type quick-ref matrix, AI citation monitoring | | Content Production SOP | [references/en/content-sop.md](references/en/content-sop.md) | End-to-end workflow from topic selection to publishing | | E-E-A-T Writing Voice | [references/en/writing-voice.md](references/en/writing-voice.md) | Founder voice system for authenticity signals | | Comparison Page SOP | [references/en/comparison-pages.md](references/en/comparison-pages.md) | Page structure, Schema, keyword embedding | | **Measurement Layer** 🆕 | [references/en/measurement-layer.md](references/en/measurement-layer.md) | Four core metrics, Article DB, GSC API, AI referral traffic, attribution traps | | **SEO Audit SOP** 🆕 | [references/en/seo-audit.md](references/en/seo-audit.md) | Four-phase audit (Technical → On-Page → Content → Off-Page) + i18n/hreflang + GEO readiness + P0/P1/P2 output | --- ## Key Results (Battle-Tested) | Metric | Result | |:---|:---| | AFFiNE GitHub stars | 60,000+ (among fastest open-source projects to 10k pre-ChatGPT era) | | GitHub Trending appearances | 28 times (Aug-Dec 2022) | | Product Hunt #1 launches coached | 30+ | | AI startups consulted | 150+ | | Content cadence proven effective | 4 articles/week, KD 30-50 long-tail keywords | | GSC impressions (one site, one month) | ~32,000 — full SOP at [SEO-GEO-Agent-SOP.md](https://huggingface.co/datasets/Gingiris/gingiris-seo-geo-agent) | --- ## 🙏 Acknowledgments / 致谢 The **Measurement Layer** and **SEO Audit** references in this playbook draw on the open-source SEO/GEO skills published by **[kostja94 (Kostja Zhang)](https://github.com/kostja94)** on GitHub — specifically `seo-monitoring`, `traffic-analysis`, `ai-traffic-tracking`, `seo-audit-strategies`, `internal-links`, `robots-txt`, and `schema-markup`, all released under MIT-0. The four-core-metrics framework, the GA4 AI-source regex pattern, and the four-phase audit ordering are adapted from those skills, with battle-tested additions from Iris's own AFFiNE / Gingiris / 150+ consultation deployments. > Borrowing across the OSS skill ecosystem is exactly why MIT-0 exists. If you find this playbook useful, please also check out [kostja94's full SEO/GEO skill suite on GitHub](https://github.com/kostja94) — measurement, technical audit, and GA4 analytics depth that complement this playbook's strategy + voice + agent-operational layers. --- ## Where to Find Us / 找到我们 - **🎯 Skills & Playbooks**: [huggingface.co/Gingiris](https://huggingface.co/Gingiris) — 30+ skills covering launch, OSS, B2B SaaS, ASO, GTM, KOL outreach, user interview, SEO/GEO Agent SOP - **📚 HuggingFace (datasets)**: [huggingface.co/Gingiris](https://huggingface.co/Gingiris) — 15 growth/marketing datasets including `gingiris-skills`, `growth-tools`, `gingiris-seo-geo-agent` - **🌐 Live blog & tool directory**: [gingiris.tools](https://gingiris.tools) - **✍️ Dev.to syndicate**: [dev.to/iris1031](https://dev.to/iris1031) --- ## 🔗 About the Author **Iris Wei** — Growth consultant for 150+ AI startups. Ex-COO at AFFiNE (69K GitHub stars). - 🐦 Twitter: [@WeiYipei](https://twitter.com/WeiYipei) — Daily growth tactics - 💬 Consulting: [@Iris_carrot on Telegram](https://t.me/Iris_carrot) - 🛒 Premium Bundle (all 5 playbooks + templates): [Get on Gumroad ($249)](https://gingiris.gumroad.com/l/gingiris-complete-global-launch-bundle) - 📚 40+ Free Playbooks: [gingiris.tools/skills](https://gingiris.tools/skills/)