Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub · AI
aeo-system
Answer Engine Optimization — get AI assistants to recommend your brand. Run AEO audits, build Answer Intent Maps, track AI recommendation positions, and main...
skill openclawclawhub Free
Answer Engine Optimization — get AI assistants to recommend your brand. Run AEO audits, build Answer Intent Maps, track AI recommendation positions, and main...
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Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- README.md, SKILL.md, scripts/answer-intent-map.js, templates/answer-hub-template.md, templates/brand-facts.json, templates/weekly-maintenance-checklist.md
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- 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.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
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. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.0
Provenance
- Publisher
- Batsirai
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
AEO (Answer Engine Optimization) System
Get AI assistants — ChatGPT, Perplexity, Claude, Gemini — to recommend your brand when people ask purchase-intent questions.
What This Is
AEO is the discipline of optimizing for AI-powered answer engines the same way SEO optimizes for search engines. When someone asks Perplexity "what's the best magnesium supplement for sleep?" — AEO determines whether your brand gets named. This skill gives an OpenClaw agent the ability to: Audit a brand's current AEO infrastructure across all 7 layers Map which brands AI platforms recommend (and in what position) for any category Track position changes week over week Build the missing infrastructure (Answer Hub, brand-facts.json, schema, citations) Maintain the system with a weekly 90-minute protocol
When to Load This Skill
User asks to "run an AEO audit" for a brand or URL User asks "which brands are being recommended by AI for [category]?" User asks to "build an Answer Intent Map" for a category User asks to check a brand's Answer Hub, brand-facts.json, or schema markup User asks to track AI recommendation positions over time User asks to run the "weekly AEO maintenance protocol"
The 7-Layer AEO Framework
LayerNameWhat It IsPriority1Answer Intent MapSpreadsheet of all purchase-intent queries + which brands AI recommendsFoundation2Answer HubA long-form guide page that answers every key question in your categoryHigh3Brand-Facts PageHuman-readable brand facts page (neutral, factual, cite-able)High4brand-facts.jsonMachine-readable brand data at /.well-known/brand-facts.jsonMedium5Schema MarkupProduct, FAQ, and Organization structured dataMedium6Citation NetworkGetting listed on the sources AI models actually citeHigh7GPT ShoppingGoogle Merchant Center + review feed for AI shopping resultsHigh
Prerequisites
Required: PERPLEXITY_API_KEY — enables direct API queries (get free at perplexity.ai/settings/api) Node.js v18+ (for the answer-intent-map.js script) Optional: OPENAI_API_KEY — enables ChatGPT query automation BRAVE_API_KEY — enables web searches for infrastructure checks Without API keys: The skill runs in "manual-assist" mode — generates the queries, provides a blank log template, and analyzes results you paste in.
Workflow 1: Full AEO Audit
Trigger: "Run an AEO audit for [brand URL]" Steps: Fetch and analyze the brand's website for AEO infrastructure: Check for Answer Hub page (/guides/ or similar long-form page) Check for Brand-Facts page (/brand-facts) Check for machine-readable data (/.well-known/brand-facts.json) Audit schema markup on product pages (via Rich Results API or web_fetch) Check for a Wikidata entry Check Google Merchant Center eligibility signals Score each of the 7 layers (0–3 scale): 0 = Doesn't exist 1 = Exists but incomplete or outdated 2 = Exists, functional, minor gaps 3 = Complete, current, optimized Generate a gap analysis report with: Current score per layer Priority order for implementation Specific action items for each missing layer Output: Markdown report saved as aeo-audit-[brand]-[date].md
Workflow 2: Answer Intent Map
Trigger: "Build an Answer Intent Map for [category]" or run scripts/answer-intent-map.js Steps: Generate query list from four types: Category queries: "best [product] for [use case]" (10–15 queries) Comparison queries: "[brand] vs [competitor]" (10 queries) Brand queries: "is [brand] worth it" (5 queries) Educational queries: "does [ingredient] help with [condition]" (10 queries) For each query, query available platforms: Perplexity API (structured JSON response with citations) OpenAI API (text response — brand names extracted by parser) Browser fallback for Claude and Gemini Parse responses to extract: Brand names mentioned (position 1, 2, 3) Source URLs cited Key verbatim quotes Write results to JSON data file + Markdown summary report Output: answer-intent-map-[category]-[date].json + .md summary Run the script: node scripts/answer-intent-map.js \ --category "magnesium supplements" \ --brand "MyBrand" \ --queries 20 # Or with a config file: node scripts/answer-intent-map.js --config ./aeo-config.json
Workflow 3: Weekly Maintenance Protocol
Trigger: "Run weekly AEO maintenance" or scheduled cron Steps: Load the brand's Answer Intent Map (top 15 priority queries) Query ChatGPT and Perplexity for each priority query in fresh sessions Compare results against previous week's log (detect position changes) Generate maintenance report: Position changes (up/down/new competitors) New sources being cited this week Recommended Answer Hub updates Check brand-facts.json for stale lastUpdated timestamp Check Google Merchant Center for disapprovals (via browser if needed) Output: aeo-weekly-report-[date].md Use the checklist: templates/weekly-maintenance-checklist.md
Workflow 4: Citation Network Analysis
Trigger: "Analyze AEO citations for [category]" Steps: Run 20 category queries via Perplexity API (citations returned directly) Extract all unique source URLs from responses Group and count by domain Identify top 10 most-cited external sources in the category Generate outreach priority list Output: Citation analysis report with target sites ranked by citation frequency
Workflow 5: Infrastructure Build
Trigger: "Build AEO infrastructure for [brand]" or "Set up brand-facts.json" Steps: Ask for brand details (or load from aeo-config.json) Generate from templates: brand-facts.json → templates/brand-facts.json (fill placeholders) Answer Hub page → templates/answer-hub-template.md Schema markup snippet (JSON-LD for product pages) Provide implementation instructions per asset
Configuration
Create aeo-config.json in your working directory: { "brandName": "Your Brand Name", "brandUrl": "https://yourbrand.com", "category": "Magnesium Supplements", "priorityQueries": [ "best magnesium supplement for sleep", "best magnesium glycinate supplement", "magnesium supplement for anxiety" ], "competitors": [ "Competitor Brand A", "Competitor Brand B", "Competitor Brand C" ], "answerHubUrl": "https://yourbrand.com/guides/best-magnesium-supplements-2026", "brandFactsJsonUrl": "https://yourbrand.com/.well-known/brand-facts.json" }
Output Files
FileDescriptionaeo-audit-[brand]-[date].mdInfrastructure audit reportanswer-intent-map-[category]-[date].jsonRaw AI query resultsanswer-intent-map-[category]-[date].mdHuman-readable competitive summaryaeo-weekly-report-[date].mdWeekly maintenance reportcitation-analysis-[category]-[date].mdCitation network analysis
Usage Examples
# Full infrastructure audit "Run an AEO audit for mybrand.com" # Build competitive intelligence "Build an Answer Intent Map for the magnesium supplement category" # Quick position check "Check if mybrand.com is being recommended by Perplexity for 'best magnesium for sleep'" # Weekly maintenance "Run the weekly AEO maintenance protocol for my brand" # Citation analysis "Which sources does Perplexity cite most for collagen supplement recommendations?" # Generate brand-facts.json "Generate the brand-facts.json template for [brand details]" # Scoring review "Score my AEO infrastructure for mybrand.com on all 7 layers"
Platform Limitations
PlatformAccessNotesPerplexityAPI (structured, reliable)Returns citations directlyChatGPTAPI via OpenAIText parsing required for brand extractionClaudeBrowser requiredGenerate queries + blank log; agent uses browserGeminiBrowser requiredGenerate queries + blank log; agent uses browser For Claude/Gemini: the skill generates the query list and a blank log template; use the browser tool to collect results. Rate limits: Perplexity free tier ≈ 20 requests/minute. For 50+ queries, add --delay 3000 to the script.
File Structure
aeo-system/ ├── SKILL.md ← This file ├── README.md ← Human-readable overview ├── scripts/ │ └── answer-intent-map.js ← Core query automation script └── templates/ ├── answer-hub-template.md ← Answer Hub page template ├── brand-facts.json ← Machine-readable brand data template └── weekly-maintenance-checklist.md ← 90-minute weekly protocol AEO System v1.0 — February 2026 A product by Carson Jarvis (@CarsonJarvisAI)
Category context
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
4 Docs1 Scripts1 Config
- SKILL.md
- README.md
- templates/answer-hub-template.md
- templates/weekly-maintenance-checklist.md
- scripts/answer-intent-map.js
- templates/brand-facts.json