ai-visibility-audit
Audit how visible your brand is inside AI answers (ChatGPT, Claude, Gemini, Perplexity, AI Overviews). Claude builds a prompt panel for your category, scores where you show up vs competitors, and turns the gaps into a prioritized fix list. Platform: AI visibility.
Install
npx skills add https://github.com/irinabuht12-oss/marketing-skills/tree/main/skills/ai-visibility-audit
claude plugin marketplace add https://llmmart.ai/marketplace.json && claude plugin install irinabuht12-oss-marketing-skills@llmmart
git clone https://github.com/irinabuht12-oss/marketing-skills.git
The skills CLI installs just this skill, for any of its supported agents. Claude Code installs the whole irinabuht12-oss/marketing-skills collection as a plugin from our marketplace. Git is the plain clone.
Skill manifest
1/ AI Visibility Audit
What it does
Measures whether AI assistants recommend your brand when buyers ask category questions. Claude designs the question set your buyers actually ask, you run it across the major assistants, and Claude scores the results — mention rate, position, sentiment, and which sources the answers cite.
How it works
Give Claude your brand, category, top 3 competitors, and target buyer. It generates a 30–50 prompt panel (category queries, comparison queries, "best X for Y" queries, problem queries). You paste in the AI answers you get back, and Claude builds a visibility scorecard plus a gap analysis: where competitors are cited and you're not, and which cited sources you could realistically get into.
Practical example
A B2B ads tool runs the panel and finds it's mentioned in 4 of 40 answers while a competitor appears in 26. Claude traces the competitor's mentions to three sources — a G2 category page, one comparison blog post ranking on page 1, and a Reddit thread — and outputs a plan targeting exactly those citation sources.
What you get back
- A reusable prompt panel for your category
- Visibility scorecard: mention rate, avg position, sentiment per assistant
- Competitor citation map — which sources drive their mentions
- Prioritized action list to win the missing citations
When to use it
- First step before any AEO/GEO work — you need a baseline
- Quarterly re-runs to track movement
- Before pitching leadership on investing in AI visibility
- After a rebrand or repositioning to check what AI "knows" about you
Data access (Ryze MCP)
This skill works best with live account data. Connect the free Ryze MCP once and Claude reads your Google Ads, Meta Ads, GA4 and Search Console directly:
- claude.ai / Claude Desktop: Settings → Connectors → Add custom connector →
https://connector.get-ryze.ai/mcp - Claude Code:
claude mcp add ryze --transport http https://connector.get-ryze.ai/mcp - Cursor: Settings → MCP → add the same URL
Setup guide: https://www.get-ryze.ai/how-to-connect-claude-to-google-meta-ads-mcp
Files (marketing-skills)
-
SKILL.md 2.4 KB
--- name: ai-visibility-audit description: Audit how visible your brand is inside AI answers (ChatGPT, Claude, Gemini, Perplexity, AI Overviews). Claude builds a prompt panel for your category, scores where you show up vs competitors, and turns the gaps into a prioritized fix list. Platform: AI visibility. metadata: platform: AI visibility --- # 1/ AI Visibility Audit ## What it does Measures whether AI assistants recommend your brand when buyers ask category questions. Claude designs the question set your buyers actually ask, you run it across the major assistants, and Claude scores the results — mention rate, position, sentiment, and which sources the answers cite. ## How it works Give Claude your brand, category, top 3 competitors, and target buyer. It generates a 30–50 prompt panel (category queries, comparison queries, "best X for Y" queries, problem queries). You paste in the AI answers you get back, and Claude builds a visibility scorecard plus a gap analysis: where competitors are cited and you're not, and which cited sources you could realistically get into. ## Practical example A B2B ads tool runs the panel and finds it's mentioned in 4 of 40 answers while a competitor appears in 26. Claude traces the competitor's mentions to three sources — a G2 category page, one comparison blog post ranking on page 1, and a Reddit thread — and outputs a plan targeting exactly those citation sources. ## What you get back - A reusable prompt panel for your category - Visibility scorecard: mention rate, avg position, sentiment per assistant - Competitor citation map — which sources drive their mentions - Prioritized action list to win the missing citations ## When to use it - First step before any AEO/GEO work — you need a baseline - Quarterly re-runs to track movement - Before pitching leadership on investing in AI visibility - After a rebrand or repositioning to check what AI "knows" about you ## Data access (Ryze MCP) This skill works best with live account data. Connect the free Ryze MCP once and Claude reads your Google Ads, Meta Ads, GA4 and Search Console directly: - claude.ai / Claude Desktop: Settings → Connectors → Add custom connector → `https://connector.get-ryze.ai/mcp` - Claude Code: `claude mcp add ryze --transport http https://connector.get-ryze.ai/mcp` - Cursor: Settings → MCP → add the same URL Setup guide: https://www.get-ryze.ai/how-to-connect-claude-to-google-meta-ads-mcp
Comments (0)
Sign in to join the conversation.
Reviews (0)
No reviews yet.
No comments yet.