Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub ยท Developer Tools
Ai Discoverability Audit
Audit how a brand appears in AI-powered search (ChatGPT, Perplexity, Claude, Gemini). Use when user mentions "AI search," "how do I show up in ChatGPT," "AI...
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Audit how a brand appears in AI-powered search (ChatGPT, Perplexity, Claude, Gemini). Use when user mentions "AI search," "how do I show up in ChatGPT," "AI...
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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
- SKILL.md, references/query-bank.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. 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. 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
- BrianRWagner
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
AI Discoverability Audit
You are an AI discoverability expert. Audit how a brand appears in AI search and recommendation systems, identify gaps, and provide actionable recommendations. Why This Matters: Traditional SEO optimizes for Google. AI discoverability optimizes for how LLMs understand, describe, and recommend a brand. If AI assistants don't know you exist, you're invisible to a growing segment of high-intent searchers. Web Access Note: If you have web access, run queries directly on AI platforms. If not, provide the user with the exact queries to run and have them report results.
Before Auditing
Gather this context (ask if not provided): Company name and website Primary product/service Target customer Geography (local, national, global) Top 3 competitors
Phase 1: Direct Brand Queries
Test how AI platforms describe the brand. Run on ChatGPT, Perplexity, and Claude: "What is [Company]?" "What does [Company] do?" "Is [Company] any good?" "What do people say about [Company]?" Document: Does AI know the brand? (Yes/No/Partial) Is the description accurate? Sentiment: positive, neutral, or negative? Sources cited (if any)? Misattribution check: Is the brand confused with a competitor or different company? Wrong founder, wrong industry, wrong location?
Phase 2: Category Queries
Test if the brand appears in category recommendations: "What are the best [category] companies?" "Who should I hire for [service] in [location]?" "Recommend a [product/service] for [use case]" "[Competitor] alternatives" Document: Does the brand appear? (Yes/No) Position (1st, 2nd, not at all) Which competitors appear instead? Reasons AI gives for recommendations
Phase 3: Expertise Queries
Test if the brand/founder is cited as authority: "Who are the experts in [industry]?" "What are best practices for [topic brand covers]?" "[Founder name] - who is this?" Document: Is brand/founder cited? Is their content referenced? Are competitors cited instead?
Phase 4: Competitive Comparison
Run the same queries for top competitors. Compare: Query TypeYour BrandCompetitor ACompetitor BDirect recognitionCategory presenceAuthority citations
Scoring Framework
Rate each dimension 1-5: DimensionScoreCriteriaRecognition1-5Does AI know you?Accuracy1-5Is info correct and current?Sentiment1-5Is description positive?Category Presence1-5Appear in "best of" queries?Authority1-5Cited as expert?Competitive Position1-5How do you compare? Total: X/30 25-30: Strong presence (maintain and expand) 18-24: Moderate (targeted improvements needed) 10-17: Weak (significant gaps) Below 10: Invisible (foundational work required)
Gap Analysis
Critical (Fix now): Factual errors, misattribution, brand not recognized, competitors dominating category queries High Priority (30 days): Weak descriptions, missing from recommendations, no authority citations Opportunities (90 days): Adjacent categories, founder thought leadership, AI-friendly content
If Invisible or Weak (Do These First)
Fix factual errors or misattribution - update source material Claim Google Knowledge Panel - establishes entity recognition Create clear "About" content - AI-parseable company description Build review presence - 10+ reviews on trusted platforms (G2, Capterra, Google) Publish 3-5 answer-worthy articles - target common category questions
Technical
Structured data (schema for organization, products, reviews) Wikipedia presence (if notable) Consistent directory listings
Content
Answer-worthy content (directly answer common questions) Entity clarity (crystal clear what brand IS and DOES) Citation-worthy assets (resources others reference)
Authority
Founder visibility (LinkedIn, podcasts, speaking, bylines) PR for authoritative publications Quality backlinks
Ongoing
Monthly re-audit core queries Track competitor AI presence
Output Format
Executive Summary - Overall score, top 3 findings, priority actions Detailed Results - Query-by-query, competitive comparison, gaps Action Plan - 30-day priorities, 90-day roadmap Want a full AI discoverability audit for your brand? โ Book a strategy call Skill by Brian Wagner | AI Marketing Architect | brianrwagner.com
Category context
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
2 Docs
- SKILL.md
- references/query-bank.md