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: