[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6P46YFV57XM2CAFD5SH4TDR":3,"skill-same:01M6P46YFV57XM2CAFD5SH4TDR":82},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":15,"categories":16,"keywords":22,"publishedAt":43,"linkOnly":44,"markdownContent":45,"markdownBody":46,"frontMatter":47,"refName":27,"commitSha":63,"skillDirectory":64,"forksCount":13,"repositoryHtmlUrl":65,"repositoryHomepageUrl":6,"ownerHtmlUrl":66,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":67,"install":68,"resources":81},"01M6P46YFV57XM2CAFD5SH4TDR","geo-platform-optimizer",null,"Platform-specific AI search optimization — audit and optimize for Google AI Overviews, ChatGPT, Perplexity, Gemini, and Bing Copilot individually","duc-duy-1612\u002FOnline-Delivery-Systems-Web","duc-duy-1612","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F192231384?v=4","01M6NSDKQQDKVTHZ8DZMZ1VYY6","01M6NSDKW8DDVTQHBT1HBDDJPT",0,"MIT","https:\u002F\u002Fgithub.com\u002Fduc-duy-1612\u002FOnline-Delivery-Systems-Web\u002Fblob\u002Fmain\u002F.agents\u002Fskills_archive\u002Fgeo-platform-optimizer\u002FSKILL.md",[17],{"categoryNo":18,"categoryName":19,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000002","文档处理","SCENARIO","使用场景",[23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42],"geo platform optimizer","platform","geo","optimizer","main","headless","bing","aio","platform-optimization","scripts","optimize","PDF","community","reports","only","access","Bash","audit","search","copilot","2026-11-10 10:12:30",false,"---\nname: geo-platform-optimizer\ndescription: Platform-specific AI search optimization — audit and optimize for Google\n  AI Overviews, ChatGPT, Perplexity, Gemini, and Bing Copilot individually\ncategory: seo\nrisk: safe\nsource: https:\u002F\u002Fgithub.com\u002Fzubair-trabzada\u002Fgeo-seo-claude\nsource_repo: zubair-trabzada\u002Fgeo-seo-claude\nsource_type: community\ndate_added: '2026-09-20'\nlicense: MIT\nlicense_source: https:\u002F\u002Fgithub.com\u002Fzubair-trabzada\u002Fgeo-seo-claude\u002Fblob\u002Fmain\u002FLICENSE\ncompatibility: Docs-only; upstream helper scripts and templates are not bundled. Site\n  audits need network access to the target site; PDF reports need pandoc and headless\n  Chrome.\nversion: 1.0.0\nauthor: geo-seo-claude\ntags:\n- geo\n- ai-search\n- platform-optimization\n- chatgpt\n- perplexity\n- gemini\n- aio\nallowed-tools: Read, Grep, Glob, Bash, WebFetch, Write\n---\n\n# GEO Platform Optimizer\n\n## Core Insight\n\nOnly **11% of domains** are cited by BOTH ChatGPT and Google AI Overviews for the same query. Each AI search platform uses different indexes, ranking logic, and source preferences. A page optimized for Google AI Overviews may be invisible to ChatGPT, and vice versa. Platform-specific optimization is not optional — it is the foundation of any serious GEO strategy.\n\n## How to Use This Skill\n\n1. Collect the target URL and the site's primary topic\u002Findustry\n2. Run each platform checklist below against the site\n3. Score each platform on the 0-100 rubric\n4. Generate GEO-PLATFORM-OPTIMIZATION.md with per-platform scores, gaps, and action items\n\n---\n\n## Platform 1: Google AI Overviews (AIO)\n\n### How AIO Selects Sources\n- 92% of AIO citations come from pages already ranking in the **top 10 organic results** — traditional SEO is the gateway\n- However, 47% of citations come from pages ranking **below position 5** — AIO has its own selection logic favoring clarity and directness over raw rank\n- AIO strongly favors pages with **clean structure, direct answers, and scannable formatting**\n- Featured snippet optimization has ~70% overlap with AIO optimization\n- AIO prefers **concise, factual, unambiguous answers** — hedging and filler reduce citation probability\n\n### Optimization Checklist\n\n1. **Question-Based Headings**: Use H2\u002FH3 headings phrased as questions matching real user queries. Check Google's \"People Also Ask\" for the target topic and mirror those exact phrasings.\n2. **Direct Answer in First Paragraph**: After each question heading, provide a clear 1-2 sentence answer immediately. Then expand with supporting detail. The first sentence should be a standalone citation candidate.\n3. **Tables and Structured Comparisons**: AIO heavily cites tables. Convert any comparison, pricing, specification, or feature data into HTML tables. Use clear column headers.\n4. **Ordered and Unordered Lists**: Step-by-step processes should use ordered lists. Feature lists should use unordered lists. AIO extracts these directly.\n5. **FAQ Sections**: Add a dedicated FAQ section with 5-10 real questions. Use proper H3 headings for each question. While FAQPage schema rich results are restricted to govt\u002Fhealth sites since Aug 2023, the content pattern still helps AIO extraction.\n6. **Definitions and Glossary Boxes**: For any industry-specific term, provide a clear definition. Format: \"**[Term]** is [concise definition].\" AIO frequently cites definitions.\n7. **Statistics with Sources**: Include specific numbers with attribution. \"According to [Source], [statistic].\" AIO prefers citeable, specific claims over vague assertions.\n8. **Publication Date**: Include a visible publication date and last-updated date. AIO deprioritizes undated content for time-sensitive queries.\n9. **Author Byline**: Display author name with credentials. Link to an author page with bio, credentials, and sameAs links.\n10. **Page Depth**: Keep target pages within 3 clicks of homepage. AIO rarely cites deep, orphaned content.\n\n### Scoring Rubric (0-100)\n\n| Criterion | Points | How to Score |\n|---|---|---|\n| Ranks in top 10 for target queries | 20 | 20 if yes, 10 if top 20, 0 if beyond |\n| Question-based headings present | 10 | 2 points per question heading, max 10 |\n| Direct answers after headings | 15 | 3 points per direct answer, max 15 |\n| Tables present for comparison data | 10 | 10 if tables used appropriately, 5 if partial, 0 if absent |\n| Lists for processes\u002Ffeatures | 10 | 10 if present, 5 if partial |\n| FAQ section with 5+ questions | 10 | 10 if 5+, 5 if 1-4, 0 if none |\n| Statistics with citations | 10 | 2 points per cited stat, max 10 |\n| Publication\u002Fupdated date visible | 5 | 5 if both dates, 3 if one, 0 if none |\n| Author byline with credentials | 5 | 5 if full byline, 3 if name only, 0 if none |\n| Clean URL + heading hierarchy | 5 | 5 if H1>H2>H3 clean, 3 if minor issues, 0 if broken |\n\n---\n\n## Platform 2: ChatGPT Web Search\n\n### How ChatGPT Selects Sources\n- Uses **Bing's search index** as its foundation (not Google)\n- Top citation sources by domain share: **Wikipedia (47.9%)**, Reddit (11.3%), YouTube, major news outlets\n- ChatGPT heavily weights **entity recognition** — if your brand exists as a structured entity (Wikipedia, Wikidata, Crunchbase), it is far more likely to be cited\n- Prefers **authoritative, well-established sources** over new or niche sites\n- Longer, more comprehensive articles get cited more often than short pieces\n- ChatGPT tends to cite **the most canonical source** for a claim rather than the original\n\n### Optimization Checklist\n\n1. **Wikipedia Presence**: Check if the brand\u002Fperson\u002Fproduct has a Wikipedia article. If not, assess notability criteria. If notable, create a draft. If an article exists, ensure it is accurate and current.\n2. **Wikidata Entity**: Verify the entity exists on Wikidata (wikidata.org). If not, create a Wikidata item with key properties: instance of, official website, social media links, founding date, headquarters location.\n3. **Bing Webmaster Tools**: Verify the site is registered in Bing Webmaster Tools. Submit sitemap. Check for crawl errors.\n4. **Bing Index Coverage**: Use `site:domain.com` on Bing to verify key pages are indexed. Bing may have different indexed pages than Google.\n5. **Reddit Authority**: Check for brand mentions on Reddit. Identify relevant subreddits. Assess whether the brand participates authentically in discussions.\n6. **YouTube Presence**: Verify YouTube channel exists with relevant content. Video descriptions should contain full URLs and entity information.\n7. **Authoritative Backlinks**: ChatGPT\u002FBing weight .edu, .gov, and major publication backlinks heavily. Audit backlink profile for these sources.\n8. **Entity Consistency**: Brand name, founding date, leadership, and key facts must be consistent across Wikipedia, Crunchbase, LinkedIn, and the official website.\n9. **Comprehensive Content**: Pages targeting ChatGPT citation should be **2000+ words** with thorough topic coverage. ChatGPT prefers single authoritative sources over combining multiple thin pages.\n10. **Clear Attribution**: Include \"About\" sections, company descriptions, and founding stories. ChatGPT uses these for entity grounding.\n\n### Scoring Rubric (0-100)\n\n| Criterion | Points | How to Score |\n|---|---|---|\n| Wikipedia article exists and is accurate | 20 | 20 if exists, 10 if stub, 0 if none |\n| Wikidata entity with 5+ properties | 10 | 10 if complete, 5 if basic, 0 if none |\n| Bing index coverage of key pages | 10 | 10 if full, 5 if partial, 0 if poor |\n| Reddit brand mentions (positive) | 10 | 10 if active discussions, 5 if mentions, 0 if none |\n| YouTube channel with relevant content | 10 | 10 if active, 5 if present but sparse, 0 if none |\n| Authoritative backlinks (.edu, .gov, press) | 15 | 3 points per authoritative backlink category, max 15 |\n| Entity consistency across platforms | 10 | 10 if consistent, 5 if minor discrepancies, 0 if major |\n| Content comprehensiveness (2000+ words) | 10 | 10 if thorough, 5 if adequate, 0 if thin |\n| Bing Webmaster Tools configured | 5 | 5 if verified, 0 if not |\n\n---\n\n## Platform 3: Perplexity AI\n\n### How Perplexity Selects Sources\n- Top citation sources: **Reddit (46.7%)**, Wikipedia, YouTube, major publications\n- Perplexity places the **heaviest emphasis on community validation** of all AI search platforms\n- Strongly favors **discussion threads** where claims are debated, validated, or expanded by multiple participants\n- Prefers recent content — publication date is a strong ranking signal\n- Cites **multiple sources per answer** (typically 5-15), so there is more opportunity for mid-authority sites to appear\n- Uses its own crawling infrastructure in addition to search APIs\n\n### Optimization Checklist\n\n1. **Active Reddit Presence**: The brand or its representatives should participate authentically in relevant subreddit discussions. Not promotional — helpful, specific, and community-oriented.\n2. **Reddit AMAs and Threads**: Encourage or participate in AMAs, detailed discussion threads, and community Q&As. Perplexity treats these as high-signal content.\n3. **Forum and Community Presence**: Beyond Reddit, check Hacker News, Stack Overflow, Quora, and niche industry forums. Perplexity indexes these heavily.\n4. **Discussion-Friendly Content**: Publish content that invites discussion — opinion pieces, research findings, contrarian takes, original data. Content that gets shared and debated in communities ranks higher.\n5. **Freshness Signals**: Publish content with clear dates. Update content regularly. Perplexity deprioritizes stale content more aggressively than other platforms.\n6. **Multiple Source Validation**: Claims in your content should be supported by other sources. Perplexity cross-references and prefers claims it can verify from multiple origins.\n7. **YouTube Video Content**: Create video content that Perplexity can reference. Ensure video titles, descriptions, and transcripts contain target information.\n8. **Direct, Quotable Passages**: Write paragraphs that can stand alone as citations. Each paragraph should make one clear point with supporting evidence.\n9. **Original Data and Research**: Publish original surveys, benchmarks, case studies, or datasets. Perplexity heavily favors primary sources.\n10. **Perplexity Pages**: Check if Perplexity has created a \"Page\" about your topic\u002Fbrand. These are curated summaries that influence future citations.\n\n### Scoring Rubric (0-100)\n\n| Criterion | Points | How to Score |\n|---|---|---|\n| Active Reddit presence in relevant subreddits | 20 | 20 if active contributor, 10 if mentioned, 0 if absent |\n| Forum\u002Fcommunity mentions (HN, SO, Quora) | 10 | 10 if multiple platforms, 5 if one, 0 if none |\n| Content freshness (updated within 6 months) | 10 | 10 if recent, 5 if within year, 0 if older |\n| Original research\u002Fdata published | 15 | 15 if original research, 10 if case studies, 5 if some data, 0 if none |\n| YouTube content with transcripts | 10 | 10 if active channel, 5 if some videos, 0 if none |\n| Quotable, standalone paragraphs | 10 | 2 points per well-structured quotable paragraph, max 10 |\n| Multi-source claim validation | 10 | 10 if claims well-sourced, 5 if some sourcing, 0 if none |\n| Discussion-generating content | 10 | 10 if content gets shared\u002Fdiscussed, 5 if some engagement, 0 if none |\n| Wikipedia\u002FWikidata presence | 5 | 5 if present, 0 if absent |\n\n---\n\n## Platform 4: Google Gemini\n\n### How Gemini Selects Sources\n- Uses **Google's search index** plus strong weighting toward **Google-owned properties**\n- YouTube content is weighted significantly more heavily than in standard Google Search\n- Google Business Profile data is directly accessible to Gemini\n- Gemini uses Google's Knowledge Graph directly — entity presence in Knowledge Graph is a major advantage\n- Structured data (Schema.org) is consumed directly by Gemini for entity understanding\n- Gemini multi-modal: can reference images, videos, and text together\n\n### Optimization Checklist\n\n1. **Google Knowledge Panel**: Check if the brand has a Google Knowledge Panel. If not, claim it through Google Business Profile or structured data. Ensure all information is accurate.\n2. **Google Business Profile**: Complete and optimize GBP with all fields: hours, services, photos, posts, Q&A. Gemini pulls directly from GBP for local queries.\n3. **YouTube Strategy**: Create YouTube content for every key topic. Optimize titles, descriptions, timestamps, and closed captions. Gemini cites YouTube more than any other AI platform.\n4. **YouTube Chapters and Timestamps**: Use chapters (timestamps in description) so Gemini can reference specific segments of videos.\n5. **Google Merchant Center**: For e-commerce, ensure products are in Google Merchant Center. Gemini references product data directly.\n6. **Structured Data (Schema.org)**: Implement comprehensive Schema.org markup. Gemini uses this for entity understanding more aggressively than other platforms.\n7. **Google Sites Ecosystem**: Ensure presence across Google ecosystem: Google Scholar (for research), Google News (for publishers), Google Maps (for local).\n8. **Image Optimization**: Gemini is multi-modal. Use descriptive alt text, structured image filenames, and high-quality images. Include relevant images with every piece of content.\n9. **Google E-E-A-T Signals**: All standard Google E-E-A-T signals apply with extra weight. Author pages, about pages, editorial policies, and expertise demonstrations.\n10. **Chrome Web Store \u002F Google Workspace Marketplace**: For software companies, presence on Google platforms adds entity signals.\n\n### Scoring Rubric (0-100)\n\n| Criterion | Points | How to Score |\n|---|---|---|\n| Google Knowledge Panel exists | 15 | 15 if complete, 10 if partial, 0 if none |\n| Google Business Profile complete | 10 | 10 if fully optimized, 5 if basic, 0 if none |\n| YouTube channel with topic-relevant content | 20 | 20 if active with chapters, 10 if present, 0 if none |\n| Schema.org structured data implemented | 15 | 15 if comprehensive, 10 if basic, 5 if minimal, 0 if none |\n| Google ecosystem presence (Scholar, News, Maps) | 10 | 10 if 3+, 5 if 1-2, 0 if none |\n| Image optimization (alt text, filenames) | 10 | 10 if all images optimized, 5 if partial, 0 if none |\n| E-E-A-T signals (author pages, about, editorial) | 10 | 10 if strong, 5 if partial, 0 if weak |\n| Google Merchant Center (if e-commerce) | 5 | 5 if applicable and active, N\u002FA otherwise |\n| Multi-modal content (text + images + video) | 5 | 5 if rich multi-modal, 3 if some, 0 if text-only |\n\n---\n\n## Platform 5: Bing Copilot\n\n### How Copilot Selects Sources\n- Uses **Bing's search index** (shared infrastructure with ChatGPT but different ranking\u002Fselection)\n- Supports **IndexNow protocol** for near-instant indexing of new and updated content\n- Copilot tends to cite **fewer sources per answer** (typically 3-5) but gives more prominent attribution\n- Microsoft ecosystem integration: LinkedIn, GitHub, Microsoft Learn content is weighted\n- Copilot prefers pages with clear, structured markup and fast load times\n\n### Optimization Checklist\n\n1. **Bing Webmaster Tools**: Register and verify site. Submit XML sitemap. Review and fix any crawl issues.\n2. **IndexNow Implementation**: Implement the IndexNow protocol to notify Bing of content changes in real-time. Submit a key file at `\u002F.well-known\u002Findexnow-key.txt` and ping the IndexNow API on content publish\u002Fupdate.\n3. **LinkedIn Company Page**: Ensure the company LinkedIn page is complete with accurate description, employee connections, and regular posts. Copilot indexes LinkedIn content.\n4. **GitHub Presence**: For tech companies, maintain an active GitHub presence. Copilot references GitHub repos, documentation, and README files.\n5. **Microsoft Learn \u002F Documentation**: If relevant, contribute to Microsoft Learn or ensure documentation is compatible with Microsoft's documentation standards.\n6. **Bing Places for Business**: Equivalent to Google Business Profile. Complete all fields for local search visibility in Copilot.\n7. **Clear Meta Descriptions**: Bing\u002FCopilot weights meta descriptions more heavily than Google does. Write compelling, keyword-rich meta descriptions for every page.\n8. **Social Signals**: Bing has historically weighted social signals (shares, likes, engagement) more than Google. Maintain active social media presence.\n9. **Exact-Match Keywords**: Bing's algorithm is more literal about keyword matching than Google. Include exact target phrases in titles, headings, and body content.\n10. **Fast Page Load**: Copilot deprioritizes slow pages. Target sub-2-second load time. Optimize images, enable compression, minimize render-blocking resources.\n\n### Scoring Rubric (0-100)\n\n| Criterion | Points | How to Score |\n|---|---|---|\n| Bing Webmaster Tools verified + sitemap | 15 | 15 if verified, 5 if partial, 0 if not |\n| IndexNow protocol implemented | 15 | 15 if active, 0 if not |\n| Bing index coverage of key pages | 10 | 10 if full, 5 if partial, 0 if poor |\n| LinkedIn company page (complete) | 10 | 10 if complete, 5 if basic, 0 if none |\n| GitHub presence (if applicable) | 5 | 5 if active, N\u002FA if not applicable |\n| Meta descriptions optimized | 10 | 10 if all key pages, 5 if partial, 0 if missing |\n| Social media engagement signals | 10 | 10 if active engagement, 5 if present, 0 if none |\n| Exact-match keywords in titles\u002Fheadings | 10 | 10 if well-optimized, 5 if partial, 0 if not |\n| Page load speed \u003C 2 seconds | 10 | 10 if \u003C 2s, 5 if \u003C 4s, 0 if > 4s |\n| Bing Places configured (if local) | 5 | 5 if complete, N\u002FA if not local |\n\n---\n\n## Cross-Platform Summary\n\n### Universal Optimization Actions (help ALL platforms)\n1. Wikipedia\u002FWikidata entity presence\n2. YouTube channel with relevant content\n3. Comprehensive, well-structured content with clear headings\n4. Schema.org structured data (especially Organization + sameAs)\n5. Fast page load and clean HTML\n6. Author pages with credentials and sameAs links\n7. Regular content updates with visible dates\n\n### Platform-Specific Priorities\n| Priority | Google AIO | ChatGPT | Perplexity | Gemini | Copilot |\n|---|---|---|---|---|---|\n| #1 | Top-10 ranking | Wikipedia | Reddit presence | YouTube | IndexNow |\n| #2 | Q&A structure | Entity graph | Original research | Knowledge Panel | Bing WMT |\n| #3 | Tables\u002Flists | Bing SEO | Freshness | Schema.org | LinkedIn |\n| #4 | Featured snippets | Reddit | Community forums | GBP | Meta descriptions |\n\n---\n\n## Output Format\n\nGenerate **GEO-PLATFORM-OPTIMIZATION.md** with the following structure:\n\n```markdown\n# GEO Platform Optimization Report — [Domain]\nDate: [Date]\n\n## Overall Platform Readiness\n- Combined GEO Score: XX\u002F100 (average of all platform scores)\n\n## Platform Scores\n| Platform | Score | Status |\n|---|---|---|\n| Google AI Overviews | XX\u002F100 | [Strong\u002FModerate\u002FWeak] |\n| ChatGPT Web Search | XX\u002F100 | [Strong\u002FModerate\u002FWeak] |\n| Perplexity AI | XX\u002F100 | [Strong\u002FModerate\u002FWeak] |\n| Google Gemini | XX\u002F100 | [Strong\u002FModerate\u002FWeak] |\n| Bing Copilot | XX\u002F100 | [Strong\u002FModerate\u002FWeak] |\n\nStatus thresholds: Strong = 70+, Moderate = 40-69, Weak = 0-39\n\n## Platform Details\n[Per-platform breakdown with score, gaps found, specific actions]\n\n## Prioritized Action Plan\n### Quick Wins (this week)\n[Actions that improve multiple platform scores with minimal effort]\n\n### Medium-Term (this month)\n[Actions requiring content creation or technical changes]\n\n### Strategic (this quarter)\n[Actions requiring entity building, community development, or platform presence]\n```\n\n## When to Use\n\n- You need a Generative Engine Optimization task for a website: audit, citability, crawlers, schema, llms.txt, content, platform tuning, or client reporting.\n- Run read-only analysis first; propose site changes before making any.\n\n## Limitations\n\n- Audits are read-only analysis; never publish, deploy, or modify the target site without explicit approval.\n- Scores and citation likelihoods are heuristics, not guarantees from AI search platforms.\n- Docs-only import: upstream scripts, agents, hooks, and schema templates are not bundled.\n\n### Example\n\n```bash\ncurl -s https:\u002F\u002Fexample.com\u002Frobots.txt\ncurl -s https:\u002F\u002Fexample.com\u002Fllms.txt\n```\n\n> Adapted from [zubair-trabzada\u002Fgeo-seo-claude](https:\u002F\u002Fgithub.com\u002Fzubair-trabzada\u002Fgeo-seo-claude) (MIT); frontmatter, When to Use\u002FLimitations, and safety boundaries added for upstream compliance. Docs-only import: upstream runtime helpers not bundled.\n","# GEO Platform Optimizer\n\n## Core Insight\n\nOnly **11% of domains** are cited by BOTH ChatGPT and Google AI Overviews for the same query. Each AI search platform uses different indexes, ranking logic, and source preferences. A page optimized for Google AI Overviews may be invisible to ChatGPT, and vice versa. Platform-specific optimization is not optional — it is the foundation of any serious GEO strategy.\n\n## How to Use This Skill\n\n1. Collect the target URL and the site's primary topic\u002Findustry\n2. Run each platform checklist below against the site\n3. Score each platform on the 0-100 rubric\n4. Generate GEO-PLATFORM-OPTIMIZATION.md with per-platform scores, gaps, and action items\n\n---\n\n## Platform 1: Google AI Overviews (AIO)\n\n### How AIO Selects Sources\n- 92% of AIO citations come from pages already ranking in the **top 10 organic results** — traditional SEO is the gateway\n- However, 47% of citations come from pages ranking **below position 5** — AIO has its own selection logic favoring clarity and directness over raw rank\n- AIO strongly favors pages with **clean structure, direct answers, and scannable formatting**\n- Featured snippet optimization has ~70% overlap with AIO optimization\n- AIO prefers **concise, factual, unambiguous answers** — hedging and filler reduce citation probability\n\n### Optimization Checklist\n\n1. **Question-Based Headings**: Use H2\u002FH3 headings phrased as questions matching real user queries. Check Google's \"People Also Ask\" for the target topic and mirror those exact phrasings.\n2. **Direct Answer in First Paragraph**: After each question heading, provide a clear 1-2 sentence answer immediately. Then expand with supporting detail. The first sentence should be a standalone citation candidate.\n3. **Tables and Structured Comparisons**: AIO heavily cites tables. Convert any comparison, pricing, specification, or feature data into HTML tables. Use clear column headers.\n4. **Ordered and Unordered Lists**: Step-by-step processes should use ordered lists. Feature lists should use unordered lists. AIO extracts these directly.\n5. **FAQ Sections**: Add a dedicated FAQ section with 5-10 real questions. Use proper H3 headings for each question. While FAQPage schema rich results are restricted to govt\u002Fhealth sites since Aug 2023, the content pattern still helps AIO extraction.\n6. **Definitions and Glossary Boxes**: For any industry-specific term, provide a clear definition. Format: \"**[Term]** is [concise definition].\" AIO frequently cites definitions.\n7. **Statistics with Sources**: Include specific numbers with attribution. \"According to [Source], [statistic].\" AIO prefers citeable, specific claims over vague assertions.\n8. **Publication Date**: Include a visible publication date and last-updated date. AIO deprioritizes undated content for time-sensitive queries.\n9. **Author Byline**: Display author name with credentials. Link to an author page with bio, credentials, and sameAs links.\n10. **Page Depth**: Keep target pages within 3 clicks of homepage. AIO rarely cites deep, orphaned content.\n\n### Scoring Rubric (0-100)\n\n| Criterion | Points | How to Score |\n|---|---|---|\n| Ranks in top 10 for target queries | 20 | 20 if yes, 10 if top 20, 0 if beyond |\n| Question-based headings present | 10 | 2 points per question heading, max 10 |\n| Direct answers after headings | 15 | 3 points per direct answer, max 15 |\n| Tables present for comparison data | 10 | 10 if tables used appropriately, 5 if partial, 0 if absent |\n| Lists for processes\u002Ffeatures | 10 | 10 if present, 5 if partial |\n| FAQ section with 5+ questions | 10 | 10 if 5+, 5 if 1-4, 0 if none |\n| Statistics with citations | 10 | 2 points per cited stat, max 10 |\n| Publication\u002Fupdated date visible | 5 | 5 if both dates, 3 if one, 0 if none |\n| Author byline with credentials | 5 | 5 if full byline, 3 if name only, 0 if none |\n| Clean URL + heading hierarchy | 5 | 5 if H1>H2>H3 clean, 3 if minor issues, 0 if broken |\n\n---\n\n## Platform 2: ChatGPT Web Search\n\n### How ChatGPT Selects Sources\n- Uses **Bing's search index** as its foundation (not Google)\n- Top citation sources by domain share: **Wikipedia (47.9%)**, Reddit (11.3%), YouTube, major news outlets\n- ChatGPT heavily weights **entity recognition** — if your brand exists as a structured entity (Wikipedia, Wikidata, Crunchbase), it is far more likely to be cited\n- Prefers **authoritative, well-established sources** over new or niche sites\n- Longer, more comprehensive articles get cited more often than short pieces\n- ChatGPT tends to cite **the most canonical source** for a claim rather than the original\n\n### Optimization Checklist\n\n1. **Wikipedia Presence**: Check if the brand\u002Fperson\u002Fproduct has a Wikipedia article. If not, assess notability criteria. If notable, create a draft. If an article exists, ensure it is accurate and current.\n2. **Wikidata Entity**: Verify the entity exists on Wikidata (wikidata.org). If not, create a Wikidata item with key properties: instance of, official website, social media links, founding date, headquarters location.\n3. **Bing Webmaster Tools**: Verify the site is registered in Bing Webmaster Tools. Submit sitemap. Check for crawl errors.\n4. **Bing Index Coverage**: Use `site:domain.com` on Bing to verify key pages are indexed. Bing may have different indexed pages than Google.\n5. **Reddit Authority**: Check for brand mentions on Reddit. Identify relevant subreddits. Assess whether the brand participates authentically in discussions.\n6. **YouTube Presence**: Verify YouTube channel exists with relevant content. Video descriptions should contain full URLs and entity information.\n7. **Authoritative Backlinks**: ChatGPT\u002FBing weight .edu, .gov, and major publication backlinks heavily. Audit backlink profile for these sources.\n8. **Entity Consistency**: Brand name, founding date, leadership, and key facts must be consistent across Wikipedia, Crunchbase, LinkedIn, and the official website.\n9. **Comprehensive Content**: Pages targeting ChatGPT citation should be **2000+ words** with thorough topic coverage. ChatGPT prefers single authoritative sources over combining multiple thin pages.\n10. **Clear Attribution**: Include \"About\" sections, company descriptions, and founding stories. ChatGPT uses these for entity grounding.\n\n### Scoring Rubric (0-100)\n\n| Criterion | Points | How to Score |\n|---|---|---|\n| Wikipedia article exists and is accurate | 20 | 20 if exists, 10 if stub, 0 if none |\n| Wikidata entity with 5+ properties | 10 | 10 if complete, 5 if basic, 0 if none |\n| Bing index coverage of key pages | 10 | 10 if full, 5 if partial, 0 if poor |\n| Reddit brand mentions (positive) | 10 | 10 if active discussions, 5 if mentions, 0 if none |\n| YouTube channel with relevant content | 10 | 10 if active, 5 if present but sparse, 0 if none |\n| Authoritative backlinks (.edu, .gov, press) | 15 | 3 points per authoritative backlink category, max 15 |\n| Entity consistency across platforms | 10 | 10 if consistent, 5 if minor discrepancies, 0 if major |\n| Content comprehensiveness (2000+ words) | 10 | 10 if thorough, 5 if adequate, 0 if thin |\n| Bing Webmaster Tools configured | 5 | 5 if verified, 0 if not |\n\n---\n\n## Platform 3: Perplexity AI\n\n### How Perplexity Selects Sources\n- Top citation sources: **Reddit (46.7%)**, Wikipedia, YouTube, major publications\n- Perplexity places the **heaviest emphasis on community validation** of all AI search platforms\n- Strongly favors **discussion threads** where claims are debated, validated, or expanded by multiple participants\n- Prefers recent content — publication date is a strong ranking signal\n- Cites **multiple sources per answer** (typically 5-15), so there is more opportunity for mid-authority sites to appear\n- Uses its own crawling infrastructure in addition to search APIs\n\n### Optimization Checklist\n\n1. **Active Reddit Presence**: The brand or its representatives should participate authentically in relevant subreddit discussions. Not promotional — helpful, specific, and community-oriented.\n2. **Reddit AMAs and Threads**: Encourage or participate in AMAs, detailed discussion threads, and community Q&As. Perplexity treats these as high-signal content.\n3. **Forum and Community Presence**: Beyond Reddit, check Hacker News, Stack Overflow, Quora, and niche industry forums. Perplexity indexes these heavily.\n4. **Discussion-Friendly Content**: Publish content that invites discussion — opinion pieces, research findings, contrarian takes, original data. Content that gets shared and debated in communities ranks higher.\n5. **Freshness Signals**: Publish content with clear dates. Update content regularly. Perplexity deprioritizes stale content more aggressively than other platforms.\n6. **Multiple Source Validation**: Claims in your content should be supported by other sources. Perplexity cross-references and prefers claims it can verify from multiple origins.\n7. **YouTube Video Content**: Create video content that Perplexity can reference. Ensure video titles, descriptions, and transcripts contain target information.\n8. **Direct, Quotable Passages**: Write paragraphs that can stand alone as citations. Each paragraph should make one clear point with supporting evidence.\n9. **Original Data and Research**: Publish original surveys, benchmarks, case studies, or datasets. Perplexity heavily favors primary sources.\n10. **Perplexity Pages**: Check if Perplexity has created a \"Page\" about your topic\u002Fbrand. These are curated summaries that influence future citations.\n\n### Scoring Rubric (0-100)\n\n| Criterion | Points | How to Score |\n|---|---|---|\n| Active Reddit presence in relevant subreddits | 20 | 20 if active contributor, 10 if mentioned, 0 if absent |\n| Forum\u002Fcommunity mentions (HN, SO, Quora) | 10 | 10 if multiple platforms, 5 if one, 0 if none |\n| Content freshness (updated within 6 months) | 10 | 10 if recent, 5 if within year, 0 if older |\n| Original research\u002Fdata published | 15 | 15 if original research, 10 if case studies, 5 if some data, 0 if none |\n| YouTube content with transcripts | 10 | 10 if active channel, 5 if some videos, 0 if none |\n| Quotable, standalone paragraphs | 10 | 2 points per well-structured quotable paragraph, max 10 |\n| Multi-source claim validation | 10 | 10 if claims well-sourced, 5 if some sourcing, 0 if none |\n| Discussion-generating content | 10 | 10 if content gets shared\u002Fdiscussed, 5 if some engagement, 0 if none |\n| Wikipedia\u002FWikidata presence | 5 | 5 if present, 0 if absent |\n\n---\n\n## Platform 4: Google Gemini\n\n### How Gemini Selects Sources\n- Uses **Google's search index** plus strong weighting toward **Google-owned properties**\n- YouTube content is weighted significantly more heavily than in standard Google Search\n- Google Business Profile data is directly accessible to Gemini\n- Gemini uses Google's Knowledge Graph directly — entity presence in Knowledge Graph is a major advantage\n- Structured data (Schema.org) is consumed directly by Gemini for entity understanding\n- Gemini multi-modal: can reference images, videos, and text together\n\n### Optimization Checklist\n\n1. **Google Knowledge Panel**: Check if the brand has a Google Knowledge Panel. If not, claim it through Google Business Profile or structured data. Ensure all information is accurate.\n2. **Google Business Profile**: Complete and optimize GBP with all fields: hours, services, photos, posts, Q&A. Gemini pulls directly from GBP for local queries.\n3. **YouTube Strategy**: Create YouTube content for every key topic. Optimize titles, descriptions, timestamps, and closed captions. Gemini cites YouTube more than any other AI platform.\n4. **YouTube Chapters and Timestamps**: Use chapters (timestamps in description) so Gemini can reference specific segments of videos.\n5. **Google Merchant Center**: For e-commerce, ensure products are in Google Merchant Center. Gemini references product data directly.\n6. **Structured Data (Schema.org)**: Implement comprehensive Schema.org markup. Gemini uses this for entity understanding more aggressively than other platforms.\n7. **Google Sites Ecosystem**: Ensure presence across Google ecosystem: Google Scholar (for research), Google News (for publishers), Google Maps (for local).\n8. **Image Optimization**: Gemini is multi-modal. Use descriptive alt text, structured image filenames, and high-quality images. Include relevant images with every piece of content.\n9. **Google E-E-A-T Signals**: All standard Google E-E-A-T signals apply with extra weight. Author pages, about pages, editorial policies, and expertise demonstrations.\n10. **Chrome Web Store \u002F Google Workspace Marketplace**: For software companies, presence on Google platforms adds entity signals.\n\n### Scoring Rubric (0-100)\n\n| Criterion | Points | How to Score |\n|---|---|---|\n| Google Knowledge Panel exists | 15 | 15 if complete, 10 if partial, 0 if none |\n| Google Business Profile complete | 10 | 10 if fully optimized, 5 if basic, 0 if none |\n| YouTube channel with topic-relevant content | 20 | 20 if active with chapters, 10 if present, 0 if none |\n| Schema.org structured data implemented | 15 | 15 if comprehensive, 10 if basic, 5 if minimal, 0 if none |\n| Google ecosystem presence (Scholar, News, Maps) | 10 | 10 if 3+, 5 if 1-2, 0 if none |\n| Image optimization (alt text, filenames) | 10 | 10 if all images optimized, 5 if partial, 0 if none |\n| E-E-A-T signals (author pages, about, editorial) | 10 | 10 if strong, 5 if partial, 0 if weak |\n| Google Merchant Center (if e-commerce) | 5 | 5 if applicable and active, N\u002FA otherwise |\n| Multi-modal content (text + images + video) | 5 | 5 if rich multi-modal, 3 if some, 0 if text-only |\n\n---\n\n## Platform 5: Bing Copilot\n\n### How Copilot Selects Sources\n- Uses **Bing's search index** (shared infrastructure with ChatGPT but different ranking\u002Fselection)\n- Supports **IndexNow protocol** for near-instant indexing of new and updated content\n- Copilot tends to cite **fewer sources per answer** (typically 3-5) but gives more prominent attribution\n- Microsoft ecosystem integration: LinkedIn, GitHub, Microsoft Learn content is weighted\n- Copilot prefers pages with clear, structured markup and fast load times\n\n### Optimization Checklist\n\n1. **Bing Webmaster Tools**: Register and verify site. Submit XML sitemap. Review and fix any crawl issues.\n2. **IndexNow Implementation**: Implement the IndexNow protocol to notify Bing of content changes in real-time. Submit a key file at `\u002F.well-known\u002Findexnow-key.txt` and ping the IndexNow API on content publish\u002Fupdate.\n3. **LinkedIn Company Page**: Ensure the company LinkedIn page is complete with accurate description, employee connections, and regular posts. Copilot indexes LinkedIn content.\n4. **GitHub Presence**: For tech companies, maintain an active GitHub presence. Copilot references GitHub repos, documentation, and README files.\n5. **Microsoft Learn \u002F Documentation**: If relevant, contribute to Microsoft Learn or ensure documentation is compatible with Microsoft's documentation standards.\n6. **Bing Places for Business**: Equivalent to Google Business Profile. Complete all fields for local search visibility in Copilot.\n7. **Clear Meta Descriptions**: Bing\u002FCopilot weights meta descriptions more heavily than Google does. Write compelling, keyword-rich meta descriptions for every page.\n8. **Social Signals**: Bing has historically weighted social signals (shares, likes, engagement) more than Google. Maintain active social media presence.\n9. **Exact-Match Keywords**: Bing's algorithm is more literal about keyword matching than Google. Include exact target phrases in titles, headings, and body content.\n10. **Fast Page Load**: Copilot deprioritizes slow pages. Target sub-2-second load time. Optimize images, enable compression, minimize render-blocking resources.\n\n### Scoring Rubric (0-100)\n\n| Criterion | Points | How to Score |\n|---|---|---|\n| Bing Webmaster Tools verified + sitemap | 15 | 15 if verified, 5 if partial, 0 if not |\n| IndexNow protocol implemented | 15 | 15 if active, 0 if not |\n| Bing index coverage of key pages | 10 | 10 if full, 5 if partial, 0 if poor |\n| LinkedIn company page (complete) | 10 | 10 if complete, 5 if basic, 0 if none |\n| GitHub presence (if applicable) | 5 | 5 if active, N\u002FA if not applicable |\n| Meta descriptions optimized | 10 | 10 if all key pages, 5 if partial, 0 if missing |\n| Social media engagement signals | 10 | 10 if active engagement, 5 if present, 0 if none |\n| Exact-match keywords in titles\u002Fheadings | 10 | 10 if well-optimized, 5 if partial, 0 if not |\n| Page load speed \u003C 2 seconds | 10 | 10 if \u003C 2s, 5 if \u003C 4s, 0 if > 4s |\n| Bing Places configured (if local) | 5 | 5 if complete, N\u002FA if not local |\n\n---\n\n## Cross-Platform Summary\n\n### Universal Optimization Actions (help ALL platforms)\n1. Wikipedia\u002FWikidata entity presence\n2. YouTube channel with relevant content\n3. Comprehensive, well-structured content with clear headings\n4. Schema.org structured data (especially Organization + sameAs)\n5. Fast page load and clean HTML\n6. Author pages with credentials and sameAs links\n7. Regular content updates with visible dates\n\n### Platform-Specific Priorities\n| Priority | Google AIO | ChatGPT | Perplexity | Gemini | Copilot |\n|---|---|---|---|---|---|\n| #1 | Top-10 ranking | Wikipedia | Reddit presence | YouTube | IndexNow |\n| #2 | Q&A structure | Entity graph | Original research | Knowledge Panel | Bing WMT |\n| #3 | Tables\u002Flists | Bing SEO | Freshness | Schema.org | LinkedIn |\n| #4 | Featured snippets | Reddit | Community forums | GBP | Meta descriptions |\n\n---\n\n## Output Format\n\nGenerate **GEO-PLATFORM-OPTIMIZATION.md** with the following structure:\n\n```markdown\n# GEO Platform Optimization Report — [Domain]\nDate: [Date]\n\n## Overall Platform Readiness\n- Combined GEO Score: XX\u002F100 (average of all platform scores)\n\n## Platform Scores\n| Platform | Score | Status |\n|---|---|---|\n| Google AI Overviews | XX\u002F100 | [Strong\u002FModerate\u002FWeak] |\n| ChatGPT Web Search | XX\u002F100 | [Strong\u002FModerate\u002FWeak] |\n| Perplexity AI | XX\u002F100 | [Strong\u002FModerate\u002FWeak] |\n| Google Gemini | XX\u002F100 | [Strong\u002FModerate\u002FWeak] |\n| Bing Copilot | XX\u002F100 | [Strong\u002FModerate\u002FWeak] |\n\nStatus thresholds: Strong = 70+, Moderate = 40-69, Weak = 0-39\n\n## Platform Details\n[Per-platform breakdown with score, gaps found, specific actions]\n\n## Prioritized Action Plan\n### Quick Wins (this week)\n[Actions that improve multiple platform scores with minimal effort]\n\n### Medium-Term (this month)\n[Actions requiring content creation or technical changes]\n\n### Strategic (this quarter)\n[Actions requiring entity building, community development, or platform presence]\n```\n\n## When to Use\n\n- You need a Generative Engine Optimization task for a website: audit, citability, crawlers, schema, llms.txt, content, platform tuning, or client reporting.\n- Run read-only analysis first; propose site changes before making any.\n\n## Limitations\n\n- Audits are read-only analysis; never publish, deploy, or modify the target site without explicit approval.\n- Scores and citation likelihoods are heuristics, not guarantees from AI search platforms.\n- Docs-only import: upstream scripts, agents, hooks, and schema templates are not bundled.\n\n### Example\n\n```bash\ncurl -s https:\u002F\u002Fexample.com\u002Frobots.txt\ncurl -s https:\u002F\u002Fexample.com\u002Fllms.txt\n```\n\n> Adapted from [zubair-trabzada\u002Fgeo-seo-claude](https:\u002F\u002Fgithub.com\u002Fzubair-trabzada\u002Fgeo-seo-claude) (MIT); frontmatter, When to Use\u002FLimitations, and safety boundaries added for upstream compliance. Docs-only import: upstream runtime helpers not bundled.\n",{"name":5,"risk":48,"tags":49,"author":54,"source":55,"license":14,"version":56,"category":57,"date_added":58,"description":7,"source_repo":59,"source_type":35,"allowed-tools":60,"compatibility":61,"license_source":62},"safe",[25,50,31,51,52,53,30],"ai-search","chatgpt","perplexity","gemini","geo-seo-claude","https:\u002F\u002Fgithub.com\u002Fzubair-trabzada\u002Fgeo-seo-claude","1.0.0","seo","2026-09-20","zubair-trabzada\u002Fgeo-seo-claude","Read, Grep, Glob, Bash, WebFetch, Write","Docs-only; upstream helper scripts and templates are not bundled. Site audits need network access to the target site; PDF reports need pandoc and headless Chrome.","https:\u002F\u002Fgithub.com\u002Fzubair-trabzada\u002Fgeo-seo-claude\u002Fblob\u002Fmain\u002FLICENSE","f3312ba749561b6159f477dbfc9313c875d40a56",".agents\u002Fskills_archive\u002Fgeo-platform-optimizer","https:\u002F\u002Fgithub.com\u002Fduc-duy-1612\u002FOnline-Delivery-Systems-Web","https:\u002F\u002Fgithub.com\u002Fduc-duy-1612","2026-10-25 23:50:58",{"source":8,"skillName":5,"commands":69,"prompt":79,"zipAvailable":80},[70,73,76],{"tool":71,"command":72},"npx","npx skills add duc-duy-1612\u002FOnline-Delivery-Systems-Web --skill geo-platform-optimizer",{"tool":74,"command":75},"bunx","bunx skills add duc-duy-1612\u002FOnline-Delivery-Systems-Web --skill geo-platform-optimizer",{"tool":77,"command":78},"pnpm","pnpm dlx skills add duc-duy-1612\u002FOnline-Delivery-Systems-Web --skill geo-platform-optimizer","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fduc-duy-1612\u002FOnline-Delivery-Systems-Web\u002Fblob\u002Fmain\u002F.agents\u002Fskills_archive\u002Fgeo-platform-optimizer\u002FSKILL.md",true,[],[83,107,130,154,180,204],{"skillNo":84,"name":85,"nameZh":6,"description":86,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":87,"categories":88,"keywords":92,"publishedAt":43},"01M6Q0FA5FZ410Z33Z3TFQ4DBA","zero-trust","Implement zero-trust network architecture. Configure identity-based access, micro-segmentation, and continuous verification. Use when implementing modern security architectures.","https:\u002F\u002Fgithub.com\u002Fduc-duy-1612\u002FOnline-Delivery-Systems-Web\u002Fblob\u002Fmain\u002F.agents\u002Fskills_archive\u002Fzero-trust\u002FSKILL.md",[89],{"categoryNo":90,"categoryName":91,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000011","运维与部署",[93,94,95,96,97,98,85,99,100,38,101,37,35,27,102,103,104,32,105,106],"ZeRO","trust","zero trust","architecture","assessment","verification","segmentation","devops-security","configure","active","critical","scope","relevant","implementing",{"skillNo":108,"name":109,"nameZh":6,"description":110,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":111,"categories":112,"keywords":113,"publishedAt":43},"01M6Q0F1YZJW3KX5FBKEVZ8CV4","zcode-delegate","Delegate coding tasks to the Z.AI ZCode CLI only when the user explicitly requests it, while the orchestrator retains review and landing responsibility.","https:\u002F\u002Fgithub.com\u002Fduc-duy-1612\u002FOnline-Delivery-Systems-Web\u002Fblob\u002Fmain\u002F.agents\u002Fskills_archive\u002Fzcode-delegate\u002FSKILL.md",[],[114,115,116,117,118,119,120,121,39,122,123,124,125,37,126,35,127,128,103,129],"delegate","zcode","zcode delegate","review","cli","orchestration","tasks","run","model","node","read","orchestrator","files","desktop app","app","agent-orchestration",{"skillNo":131,"name":132,"nameZh":6,"description":133,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":134,"categories":135,"keywords":136,"publishedAt":43},"01M6Q0ETK41VGNMYEXW0T00AJN","youtube-transcript","Fetch YouTube transcripts through DeepAPI or local fallback tooling and save clean text output.","https:\u002F\u002Fgithub.com\u002Fduc-duy-1612\u002FOnline-Delivery-Systems-Web\u002Fblob\u002Fmain\u002F.agents\u002Fskills_archive\u002Fyoutube-transcript\u002FSKILL.md",[],[137,138,139,48,140,141,142,143,144,145,146,147,148,35,27,149,150,151,152,153],"transcript","youtube transcript","youtube","github","codex","research","license","https","text","fetch","tooling","clean","local","output","deepapi","youtube transcripts","blob",{"skillNo":155,"name":156,"nameZh":6,"description":157,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":158,"categories":159,"keywords":171,"publishedAt":43},"01M6Q0EPPH2PVMDW40017F8WX0","youtube-transcript-skills","Fetch YouTube video transcripts, search videos\u002Fchannels, browse channels, and extract playlists via the getyoutubetranscript.com API - free tier, no card required.","https:\u002F\u002Fgithub.com\u002Fduc-duy-1612\u002FOnline-Delivery-Systems-Web\u002Fblob\u002Fmain\u002F.agents\u002Fskills_archive\u002Fyoutube-transcript-skills\u002FSKILL.md",[160,163,166],{"categoryNo":161,"categoryName":162,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000010","后端与接口",{"categoryNo":164,"categoryName":165,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000016","图像与多媒体",{"categoryNo":167,"categoryName":168,"taxonomyType":169,"taxonomyTypeDesc":170},"01JBSEEDCAT000000000000030","开发工程师","PROFESSION","适用职业",[137,138,139,172,48,53,140,141,143,41,173,174,175,146,176,35,27,177,178,179],"youtube transcript skills","api","Video","browse","api-integration","free","card","channels",{"skillNo":181,"name":182,"nameZh":6,"description":183,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":184,"categories":185,"keywords":190,"publishedAt":43},"01M6Q0EAB96PX83W5PTE8A0R8D","youtube-notetaker","Turn YouTube talks into local study notes with slides, transcripts, editable annotations, and a markdown-backed viewer.","https:\u002F\u002Fgithub.com\u002Fduc-duy-1612\u002FOnline-Delivery-Systems-Web\u002Fblob\u002Fmain\u002F.agents\u002Fskills_archive\u002Fyoutube-notetaker\u002FSKILL.md",[186,189],{"categoryNo":187,"categoryName":188,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000003","演示文稿",{"categoryNo":164,"categoryName":165,"taxonomyType":20,"taxonomyTypeDesc":21},[139,191,192,118,48,193,194,195,196,143,174,197,198,199,200,27,201,149,202,203],"youtube notetaker","notetaker","workflow","official","notes","code","markdown","slides","annotations","README","study","dair-academy","viewer",{"skillNo":205,"name":206,"nameZh":6,"description":207,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":208,"categories":209,"keywords":211,"publishedAt":43},"01M6Q0E55F0GW5MX48V8HXS8B5","youtube-full","Fetch YouTube transcripts, search videos, browse channels, and extract playlists via TranscriptAPI — no yt-dlp, no Google API key, works from any cloud server.","https:\u002F\u002Fgithub.com\u002Fduc-duy-1612\u002FOnline-Delivery-Systems-Web\u002Fblob\u002Fmain\u002F.agents\u002Fskills_archive\u002Fyoutube-full\u002FSKILL.md",[210],{"categoryNo":161,"categoryName":162,"taxonomyType":20,"taxonomyTypeDesc":21},[212,139,213,214,48,53,41,215,216,173,174,175,146,217,176,35,27,177,218,152],"youtube full","full","google","server","dlp","credits","automatic"]