OpenClaw

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 discoverability," "AEO," "LLM visibility," or wants to understand their brand's AI presence.

brianrwagner0 来源安装数☆ 0 仓库 Stars

查看来源 ↗安装与使用 SKILL.md ↗

安装与使用

请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求，再添加到工作流。

SkillHub CLI

skillhub install brianrwagner/brw-ai-discoverability-audit

打开来源仓库，查看说明和兼容环境后，按来源提供的命令或步骤安装。

将来源链接提供给你的 Agent，让它先读取说明、核对依赖，并向你说明将执行的安装步骤。

查看来源 ↗使用指南

技能说明

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

The Audit Process

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]?"
"[Fo...

来源信息

Source: github
Repository: openclaw/skills
Path: skills/brianrwagner/brw-ai-discoverability-audit
Version: —
Commit: 2be557995fb1f568967e86aeae7531438b10cac5
分类来源: rules
状态: active
可见性: public

这些信息来自收录时的来源分析，可能滞后；使用前请核对最新来源文件。

来源内容

SKILL.md

# 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. "[Fo...

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