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Add GEO + SEO rule for advocacy websites
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Add geo-seo-audit skill for advocacy websites
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Update skills README to include geo-seo-audit
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fix: correct malformed HTML comment in windsurf rule file
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Fix CodeRabbit comments in windsurf geo-seo rules
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Apply consistent geo-seo fixes across all 8 remaining tool files
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Add Wikipedia COI guardrails across all 12 tool files + citation sources
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,285 @@ | ||
| --- | ||
| paths: | ||
| - "**/*.html" | ||
| - "**/robots.txt" | ||
| - "**/sitemap.xml" | ||
| - "**/llms.txt" | ||
| - "**/head/**" | ||
| - "**/seo/**" | ||
| - "**/meta/**" | ||
| - "**/schema/**" | ||
| - "**/structured-data/**" | ||
| - "**/layout.*" | ||
| - "**/Layout.*" | ||
| - "**/BaseHead.*" | ||
| - "**/Head.*" | ||
| --- | ||
| # GEO + SEO Rules for Animal Advocacy Websites | ||
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| Websites built for animal advocacy serve two discovery channels: traditional search engines and AI answer systems (ChatGPT, Perplexity, Google AI Overviews, Claude, Gemini, Bing Copilot). Approximately 60% of searches now end without a click — AI systems are the fastest-growing discovery channel and have distinct citation requirements. Follow these rules when building or modifying any public-facing advocacy website. | ||
|
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| ## HTML Structure | ||
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| Every page needs exactly one `<h1>` tag. Use a logical heading hierarchy (`h1 > h2 > h3`), never skipping levels. Phrase `<h2>` headings as questions when the section answers something — question-based headings produce 7× more AI citations for smaller sites. The first paragraph after any heading must directly answer that question in 40-60 words. AI systems pull from the first 30% of content 44% of the time — lead with the answer. | ||
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| Keep paragraphs to 2-4 sentences (40-60 words). Structure content as self-contained 120-180 word modules — this modular pattern generates 70% more ChatGPT citations than unstructured prose. | ||
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| Use semantic HTML correctly: `<article>`, `<section>`, `<nav>`, `<aside>`, `<header>`, `<footer>`, `<main>`. Add `lang` attribute to `<html>`. Every `<img>` must have a descriptive `alt` attribute. Every `<a>` must have meaningful anchor text — never "click here". | ||
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| Use `<table>` for comparison data (32.5% of AI-cited content contains tables). Use `<ol>` and `<ul>` for lists (78% of AI answers include list formats). Use `<blockquote cite="...">` for expert quotations (28-40% AI visibility boost). Use `<time datetime="YYYY-MM-DD">` for dates. Use `<dfn>` for term definitions. Use `<abbr title="full term">` on first use. Add `id` attributes to all `<h2>` and `<h3>` elements. | ||
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| ## Do Not | ||
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| - Do NOT hide content behind JavaScript-only rendering — AI crawlers often cannot execute JS. All critical content must be in the initial HTML response (SSR or pre-rendered). | ||
| - Do NOT use `display:none` or `visibility:hidden` on content to be indexed. | ||
| - Do NOT rely on infinite scroll — use paginated `<a>` links. | ||
| - Do NOT use iframes for primary content. | ||
| - Do NOT keyword-stuff — stuffing decreases AI visibility by 10%. | ||
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| ## Structured Data (JSON-LD) | ||
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| Implement JSON-LD schema in the `<head>` of every page. Sites with structured data achieve 41% AI citation rates vs 15% without. Only 12.4% of websites implement it — this is the single highest-leverage GEO action. | ||
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| ### Organization + WebSite schema (every page) | ||
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| ```html | ||
| <script type="application/ld+json"> | ||
| { | ||
| "@context": "https://schema.org", | ||
| "@graph": [ | ||
| { | ||
| "@type": "Organization", | ||
| "@id": "https://yoursite.com/#organization", | ||
| "name": "Organization Name", | ||
| "url": "https://yoursite.com", | ||
| "logo": { "@type": "ImageObject", "url": "https://yoursite.com/logo.png" }, | ||
| "sameAs": [ | ||
| "https://www.linkedin.com/company/your-org", | ||
| "https://twitter.com/your-org", | ||
| "https://github.com/your-org" | ||
| ], | ||
| "description": "One-sentence description" | ||
| }, | ||
| { | ||
| "@type": "WebSite", | ||
| "@id": "https://yoursite.com/#website", | ||
| "url": "https://yoursite.com", | ||
| "name": "Site Name", | ||
| "publisher": { "@id": "https://yoursite.com/#organization" } | ||
| } | ||
| ] | ||
| } | ||
| </script> | ||
| ``` | ||
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| ### Article schema (every content page) | ||
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| ```html | ||
| <script type="application/ld+json"> | ||
| { | ||
| "@context": "https://schema.org", | ||
| "@type": "Article", | ||
| "headline": "Page title", | ||
| "author": { | ||
| "@type": "Person", | ||
| "name": "Author Name", | ||
| "url": "https://yoursite.com/team/author-name", | ||
| "jobTitle": "Their role" | ||
| }, | ||
| "publisher": { "@id": "https://yoursite.com/#organization" }, | ||
| "datePublished": "2026-01-15T08:00:00Z", | ||
| "dateModified": "2026-03-20T10:30:00Z", | ||
| "image": "https://yoursite.com/images/article-image.jpg", | ||
| "description": "150-160 char meta description" | ||
| } | ||
| </script> | ||
| ``` | ||
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| ### FAQPage schema (pages with Q&A content) | ||
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| ```html | ||
| <script type="application/ld+json"> | ||
| { | ||
| "@context": "https://schema.org", | ||
| "@type": "FAQPage", | ||
| "mainEntity": [ | ||
| { | ||
| "@type": "Question", | ||
| "name": "What is the question?", | ||
| "acceptedAnswer": { | ||
| "@type": "Answer", | ||
| "text": "Direct, complete answer in 40-80 words." | ||
| } | ||
| } | ||
| ] | ||
| } | ||
| </script> | ||
| ``` | ||
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| Also implement when applicable: **HowTo**, **BreadcrumbList**, **SoftwareApplication**, **Event**, **Dataset**, **Person**. | ||
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| Schema rules: always use JSON-LD (not Microdata). Use `@id` references to connect entities across pages. Keep `dateModified` accurate. Validate at schema.org/validator. | ||
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| ## Meta Tags | ||
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| ```html | ||
| <head> | ||
| <meta charset="UTF-8"> | ||
| <meta name="viewport" content="width=device-width, initial-scale=1.0"> | ||
| <title>Primary Keyword — Brand Name</title><!-- 50-60 chars, keywords first --> | ||
| <meta name="description" content="150-160 chars. Direct answer + one statistic."> | ||
| <link rel="canonical" href="https://yoursite.com/this-page"> | ||
| <meta property="og:title" content="Page Title"> | ||
| <meta property="og:description" content="Description"> | ||
| <meta property="og:type" content="article"> | ||
| <meta property="og:url" content="https://yoursite.com/this-page"> | ||
| <meta property="og:image" content="https://yoursite.com/images/og-image.jpg"> | ||
| <meta property="og:site_name" content="Site Name"> | ||
| <meta name="twitter:card" content="summary_large_image"> | ||
| <meta name="twitter:title" content="Page Title"> | ||
| <meta name="twitter:description" content="Description"> | ||
| <meta name="twitter:image" content="https://yoursite.com/images/twitter-image.jpg"> | ||
| <meta property="article:published_time" content="2026-01-15T08:00:00Z"> | ||
| <meta property="article:modified_time" content="2026-03-20T10:30:00Z"> | ||
| </head> | ||
| ``` | ||
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| Meta description rules: 150-160 chars, direct factual answer to the primary query, one specific statistic, never duplicated across pages. | ||
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| ## Robots.txt | ||
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| ``` | ||
| # Standard search engines | ||
| User-agent: Googlebot | ||
| Allow: / | ||
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| User-agent: Bingbot | ||
| Allow: / | ||
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| # AI search and citation crawlers — allow these for AI visibility | ||
| User-agent: OAI-SearchBot | ||
| Allow: / | ||
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| User-agent: ChatGPT-User | ||
| Allow: / | ||
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| User-agent: PerplexityBot | ||
| Allow: / | ||
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| User-agent: ClaudeBot | ||
| Allow: / | ||
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| User-agent: Claude-SearchBot | ||
| Allow: / | ||
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| User-agent: Applebot | ||
| Allow: / | ||
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| User-agent: Amazonbot | ||
| Allow: / | ||
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| # AI training crawlers — block if not consenting to training use | ||
| # Remove blocks below if maximum AI visibility is the goal | ||
| User-agent: GPTBot | ||
| Disallow: / | ||
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| User-agent: CCBot | ||
| Disallow: / | ||
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| User-agent: Google-Extended | ||
| Disallow: / | ||
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| # Block scraper bots | ||
| User-agent: AhrefsBot | ||
| Disallow: / | ||
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| User-agent: SemrushBot | ||
| Disallow: / | ||
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| Sitemap: https://yoursite.com/sitemap.xml | ||
| ``` | ||
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| Critical: blocking `Googlebot` blocks both Google Search AND AI Overviews — there is no way to allow one without the other. Review quarterly as new crawlers emerge. | ||
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| ## XML Sitemap | ||
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| Include only canonical, indexable URLs. `<lastmod>` must reflect actual content update date — never fake it. Reference in robots.txt. Submit to Google Search Console and Bing Webmaster Tools. Regenerate automatically when content changes. Maximum 50,000 URLs per file. | ||
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| ```xml | ||
| <?xml version="1.0" encoding="UTF-8"?> | ||
| <urlset xmlns="http://www.sitemaps.org/schemas/sitemap/0.9"> | ||
| <url> | ||
| <loc>https://yoursite.com/</loc> | ||
| <lastmod>2026-03-28</lastmod> | ||
| <changefreq>weekly</changefreq> | ||
| <priority>1.0</priority> | ||
| </url> | ||
| </urlset> | ||
| ``` | ||
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| ## Site Architecture | ||
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| URL rules: descriptive hyphenated lowercase, under 75 characters, include primary keyword, max 3 levels deep. Implement canonical tags on every page. Use 301 redirects for URL changes. | ||
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| Internal linking: no important page more than 3 clicks from homepage. Use hub-and-spoke topic cluster model: | ||
| - **Pillar page**: 2,000-4,000 words on a broad topic | ||
| - **Cluster pages**: 8-15 detailed pages on specific subtopics | ||
| - **Bidirectional links**: every cluster page links to pillar, pillar links to every cluster page | ||
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| This architecture increases AI citation rates from 12% to 41%. | ||
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| Content freshness: display "Last Updated: [date]" visibly on every page. Keep `dateModified` synchronized. 76% of the most-cited AI content was updated within 30 days. | ||
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| ## Performance | ||
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| AI crawlers timeout at 1-5 seconds. Targets: | ||
| - TTFB < 200ms | ||
| - LCP < 2.5s | ||
| - CLS < 0.1 | ||
| - Page weight < 1MB (18% of pages over 1MB are abandoned by AI crawlers) | ||
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| Require SSR or SSG — AI crawlers often cannot execute JavaScript. Implement gzip or brotli. Use modern image formats (WebP/AVIF) with `<picture>` fallbacks. Enforce HTTPS. | ||
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| ## Content Patterns That Earn AI Citations | ||
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| ### Citable paragraph pattern | ||
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| ``` | ||
| [Direct statement of fact]. [Specific statistic with attribution]. | ||
| [Brief elaboration]. [Source: Named Organization, Date] | ||
| ``` | ||
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| ### FAQ block pattern | ||
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| Every FAQ section uses `<h2>` or `<h3>` with the exact question, a 40-60 word direct answer immediately after, and FAQPage schema wrapping the section. | ||
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| ### Definition block pattern | ||
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| ```html | ||
| <section id="what-is-term"> | ||
| <h2>What is [Term]?</h2> | ||
| <p><dfn>[Term]</dfn> is [direct 1-sentence definition]. [Elaboration]. [Attribution].</p> | ||
| </section> | ||
| ``` | ||
|
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| ### Author attribution | ||
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| Every content page needs a visible author name, credentials, link to an author profile page, and Person schema on that profile. Content with proper author metadata gets cited 40% more. | ||
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| ## Key Statistics | ||
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| | Signal | Impact | | ||
| |--------|--------| | ||
| | Adding statistics to claims | +41% AI visibility | | ||
| | Citing credible sources inline | +30-40% AI visibility | | ||
| | Expert quotations | +28-40% AI visibility | | ||
| | Keyword stuffing | -10% AI visibility | | ||
| | FAQ schema | 41% citation rate vs 15% without | | ||
| | Question-based headings | 7× citation impact for smaller sites | | ||
| | 120-180 word modular sections | 70% more ChatGPT citations | | ||
| | Content over 2,900 words | 59% more likely to be cited | | ||
| | Original or proprietary data | 4.31× more citations per URL | | ||
| | Author metadata | +40% citations | | ||
| | Topic cluster architecture | Citation rate 12% → 41% | | ||
| | Fresh content (updated within 30 days) | 76% of most-cited content | | ||
| | Structured data (schema) | 73% higher AI selection rate | | ||
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🧹 Nitpick | 🔵 Trivial
Consider automating propagation from this canonical rules file.
Given this file is the source of truth, a lightweight generator script (canonical → tool-specific outputs) would reduce drift and manual sync overhead across the 12 tool formats.
I can draft a small read-only generation plan (inputs, mappings, and output targets) if you want to track it as a follow-up issue.
Based on learnings: the canonical source is
claude-code/.claude/rules/geo-seo.md, duplication across tool files is intentional, and a build script is a valid future improvement.🤖 Prompt for AI Agents