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brw-ai-discoverability-auditBRW AI 可发现性审计

Agent Skill

用于辅助安全审计、权限检查、凭据风险、认证流程和常见漏洞排查。它适合让 Agent 梳理敏感配置、检查依赖风险、分析鉴权逻辑或生成安全复核清单。使用时不能把工具输出直接当最终结论,涉及密钥、令牌、用户数据或生产系统时,应先确认最小权限、脱敏方式和操作边界。

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OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:brw-ai-discoverability-audit(BRW AI 可发现性审计)
来源仓库:https://github.com/brianrwagner/brw-ai-discoverability-audit
安装命令:
openclaw skills install brw-ai-discoverability-audit
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install brw-ai-discoverability-audit

简介

审核品牌在 AI 搜索中的可见性表现,支持 ChatGPT、Perplexity 等平台。

  • 适用于优化品牌在线曝光和 AI 搜索结果排名策略。
  • 通过 clawhub 安装,需确认权限范围和维护状态。
  • 涉及敏感信息时需脱敏并控制最小权限,避免直接用于生产决策。
  • 不能将工具输出作为最终结论,应结合人工复核使用。

SKILL.md

name
ai-discoverability-audit
description
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 discoverability," "AEO," "LLM visibility," or wants to understand their brand's AI presence.

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):

  1. Company name and website
  2. Primary product/service
  3. Target customer
  4. Geography (local, national, global)
  5. Top 3 competitors

The Audit Process

Phase 1: Direct Brand Queries

Test how AI platforms describe the brand. Run on ChatGPT, Perplexity, and Claude:

  1. "What is [Company]?"
  2. "What does [Company] do?"
  3. "Is [Company] any good?"
  4. "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:

  1. "What are the best [category] companies?"
  2. "Who should I hire for [service] in [location]?"
  3. "Recommend a [product/service] for [use case]"
  4. "[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:

  1. "Who are the experts in [industry]?"
  2. "What are best practices for [topic brand covers]?"
  3. "[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 B
Direct recognition
Category presence
Authority citations

Scoring Framework

Rate each dimension 1-5:

DimensionScoreCriteria
Recognition1-5Does 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


Recommendations

If Invisible or Weak (Do These First)

  1. Fix factual errors or misattribution - update source material
  2. Claim Google Knowledge Panel - establishes entity recognition
  3. Create clear "About" content - AI-parseable company description
  4. Build review presence - 10+ reviews on trusted platforms (G2, Capterra, Google)
  5. 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

  1. Executive Summary - Overall score, top 3 findings, priority actions
  2. Detailed Results - Query-by-query, competitive comparison, gaps
  3. Action Plan - 30-day priorities, 90-day roadmap

Want a full AI discoverability audit for your brand?Book a strategy call


*Skill by Brian Wagner | AI Marketing Architect | brianrwagner.com*

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