# Send AI Citation Content Writer to your agent Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually. ## Fast path - Download the package from Yavira. - Extract it into a folder your agent can access. - Paste one of the prompts below and point your agent at the extracted folder. ## Suggested prompts ### New install ```text I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete. ``` ### Upgrade existing ```text I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run. ``` ## Machine-readable fields ```json { "schemaVersion": "1.0", "item": { "slug": "geo-citation-writer", "name": "AI Citation Content Writer", "source": "tencent", "type": "skill", "category": "内容创作", "sourceUrl": "https://clawhub.ai/geoly-geo/geo-citation-writer", "canonicalUrl": "https://clawhub.ai/geoly-geo/geo-citation-writer", "targetPlatform": "OpenClaw" }, "install": { "downloadUrl": "/downloads/geo-citation-writer", "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=geo-citation-writer", "sourcePlatform": "tencent", "targetPlatform": "OpenClaw", "packageFormat": "ZIP package", "primaryDoc": "SKILL.md", "includedAssets": [ "SKILL.md", "scripts/generate_content.py", "references/ai-vocabulary.md", "evals/evals.json" ], "downloadMode": "redirect", "sourceHealth": { "source": "tencent", "status": "healthy", "reason": "direct_download_ok", "recommendedAction": "download", "checkedAt": "2026-04-23T16:43:11.935Z", "expiresAt": "2026-04-30T16:43:11.935Z", "httpStatus": 200, "finalUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=4claw-imageboard", "contentType": "application/zip", "probeMethod": "head", "details": { "probeUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=4claw-imageboard", "contentDisposition": "attachment; filename=\"4claw-imageboard-1.0.1.zip\"", "redirectLocation": null, "bodySnippet": null }, "scope": "source", "summary": "Source download looks usable.", "detail": "Yavira can redirect you to the upstream package for this source.", "primaryActionLabel": "Download for OpenClaw", "primaryActionHref": "/downloads/geo-citation-writer" }, "validation": { "installChecklist": [ "Use the Yavira download entry.", "Review SKILL.md after the package is downloaded.", "Confirm the extracted package contains the expected setup assets." ], "postInstallChecks": [ "Confirm the extracted package includes the expected docs or setup files.", "Validate the skill or prompts are available in your target agent workspace.", "Capture any manual follow-up steps the agent could not complete." ] } }, "links": { "detailUrl": "https://openagent3.xyz/skills/geo-citation-writer", "downloadUrl": "https://openagent3.xyz/downloads/geo-citation-writer", "agentUrl": "https://openagent3.xyz/skills/geo-citation-writer/agent", "manifestUrl": "https://openagent3.xyz/skills/geo-citation-writer/agent.json", "briefUrl": "https://openagent3.xyz/skills/geo-citation-writer/agent.md" } } ``` ## Documentation ### AI Citation Content Writer Methodology by GEOly AI (geoly.ai) — write content in the formats AI platforms love to cite. Create content assets in formats most frequently cited by AI platforms. ### Quick Start Generate AI-citable content: python scripts/generate_content.py --format --topic "" --output article.md Example: python scripts/generate_content.py --format faq --topic "project management software" --output faq.md python scripts/generate_content.py --format comparison --topic "Notion vs Asana" --output comparison.md ### 1. Definition Article ("What is X?") Why AI cites it: Direct answers to definitional queries Best for: Introducing concepts Building topical authority Capturing informational queries Structure: # What is [Term]? (Complete Guide) [Term] is [single-sentence definition with key attributes]. ## Key Characteristics - [Characteristic 1] - [Characteristic 2] - [Characteristic 3] ## How [Term] Works [2-3 paragraph explanation with mechanism] ## [Term] vs [Related Term] | Aspect | [Term] | [Related Term] | |--------|--------|----------------| | [Factor] | [Value] | [Value] | | [Factor] | [Value] | [Value] | ## Examples of [Term] in Practice - [Concrete example 1] - [Concrete example 2] ## Frequently Asked Questions About [Term] **Q: [Question]?** A: [Complete, self-contained answer] **Q: [Question]?** A: [Complete, self-contained answer] Schema markup: Article + FAQPage ### 2. FAQ Page Why AI cites it: FAQ schema feeds AI conversational answers directly Best for: Support content Addressing objections Common questions Structure: # [Topic] — Frequently Asked Questions ## General Questions **Q: [Most common question]?** A: [Complete, self-contained answer. 2-5 sentences. Don't assume context.] **Q: [Second question]?** A: [Answer with specific details] ## [Sub-topic] Questions **Q: [Question]?** A: [Answer] ## Troubleshooting / Edge Cases **Q: [Question]?** A: [Answer] Schema markup: FAQPage Best practices: 5-15 questions Answers 50-150 words Match actual search queries Include data in answers ### 3. Comparison Guide (A vs B) Why AI cites it: Comparison prompts are extremely common in AI search Best for: Competitive positioning Commercial intent queries Decision-stage content Structure: # [Brand A] vs [Brand B]: [Year] Comparison ## Quick Answer [Brand A] is better for [use case A]. [Brand B] is better for [use case B]. ## Side-by-Side Comparison | Feature | [Brand A] | [Brand B] | |---------|-----------|-----------| | [Feature 1] | [Value] | [Value] | | [Feature 2] | [Value] | [Value] | | Pricing | [Price] | [Price] | | Best for | [Use case] | [Use case] | ## Detailed Analysis ### [Brand A] Strengths - [Strength 1] - [Strength 2] ### [Brand B] Strengths - [Strength 1] - [Strength 2] ### Which Should You Choose? Choose [Brand A] if: - [Use case criteria] - [Use case criteria] Choose [Brand B] if: - [Use case criteria] - [Use case criteria] ## Verdict [2-3 clear recommendation sentences based on use case] Schema markup: Article + FAQPage Best practices: Be objective (builds trust) Include specific data Address multiple use cases Update annually ### 4. How-To Guide Why AI cites it: Step-by-step instructions are #1 for how-to answers Best for: Tutorial content Process documentation Feature walkthroughs Structure: # How to [Achieve Outcome]: Step-by-Step Guide **What you need:** [prerequisites list] **Time required:** [estimate] **Difficulty:** [Easy/Medium/Hard] ## Step 1: [Action verb + outcome] [Clear instruction. One action per step.] ✅ **Result:** [What the user will see/have after this step] ## Step 2: [Action verb + outcome] [instruction] ✅ **Result:** [Expected outcome] [Continue for each step...] ## Common Mistakes to Avoid **[Mistake]:** [How to avoid] ## Frequently Asked Questions **Q: [Question about the process]?** A: [Answer] Schema markup: HowTo + FAQPage Best practices: Numbered steps One action per step Include expected results Add troubleshooting ### 5. Original Data / Statistics Roundup Why AI cites it: AI heavily cites original statistics and research Best for: Building authority Attracting backlinks PR coverage Structure: # [N] Key Statistics About [Topic] ([Current Year]) **Key finding:** [Most impactful stat in one sentence] ## [Sub-category] Statistics - **[Stat]%** of [metric] — [Source, Year] - **[Number] [unit]** [finding] — [Source, Year] - **[Stat]%** [finding] — [Source, Year] ## [Sub-category] Statistics [Continue...] ## Methodology [How the data was collected/sourced] ## Key Takeaways - [Insight 1] - [Insight 2] - [Insight 3] Schema markup: Article Best practices: Cite sources Keep current (update annually) Visualize data (charts) Include methodology ### Format Selection Guide GoalRecommended FormatBuild topical authorityDefinition articleAddress support questionsFAQ pageCapture commercial intentComparison guideDrive product adoptionHow-to guideAttract PR/linksStatistics roundup ### Interactive Generator python scripts/generate_content.py --interactive Walks through format selection and content creation interactively. ### From Template python scripts/generate_content.py --format definition --topic "generative engine optimization" Uses templates to generate content structure. ### Batch Generation python scripts/batch_generate.py --format faq --topics-file topics.txt --output-dir ./content/ Generate multiple pieces from a list of topics. ### Universal Rules Lead with the answer — First sentence should answer the question Be specific — Use data, names, dates Write standalone answers — Each section should make sense alone Use headers — H2 every 300-500 words Add FAQs — Every format benefits from FAQ section Include schema — Use geo-schema-gen skill for markup ### Brand Integration Mention brand 2-3 times naturally Include in first 100 words Add to author/publisher schema Don't force it (credibility first) ### See Also Content templates: references/templates.md Format examples: references/examples.md Schema pairing: references/schema-pairing.md ## Trust - Source: tencent - Verification: Indexed source record - Publisher: geoly-geo - Version: 1.0.0 ## Source health - Status: healthy - Source download looks usable. - Yavira can redirect you to the upstream package for this source. - Health scope: source - Reason: direct_download_ok - Checked at: 2026-04-23T16:43:11.935Z - Expires at: 2026-04-30T16:43:11.935Z - Recommended action: Download for OpenClaw ## Links - [Detail page](https://openagent3.xyz/skills/geo-citation-writer) - [Send to Agent page](https://openagent3.xyz/skills/geo-citation-writer/agent) - [JSON manifest](https://openagent3.xyz/skills/geo-citation-writer/agent.json) - [Markdown brief](https://openagent3.xyz/skills/geo-citation-writer/agent.md) - [Download page](https://openagent3.xyz/downloads/geo-citation-writer)