aeo-data-guide
How to think about AirOps AEO data — interpreting metrics, handling ambiguous asks, routing to the right agent.
npx skills add majiayu000/claude-skill-registry --skill aeo-data-guide --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
## The Data Model (Conceptual) AirOps tracks how AI search engines talk about a brand. The core idea: 1. A brand has **prompts** — questions people ask AI (e.g. "What are the best AEO tools?") 2. Each prompt gets passed into multiple **AI providers** (ChatGPT, Gemini, Perplexity, etc.) 3. Each provider returns an **answer** 4. Each answer is checked: did it **mention** the brand? Did it **cite** (link to) the brand? 5. From this, we get metrics: mention rate, citation rate, share of voice, etc. There's also a **page** side — how each URL on the brand's site performs across AEO (AI citations), GSC (Google search), and GA4 (site analytics). Everything hangs off a **Brand Kit**, which lives in a **Workspace**. You always need to find the right brand kit first. --- ## Two Domains of Data | Domain | What it covers | Agent | |--------|---------------|-------| | **AI search visibility** | Prompts, answers, mentions, citations, competitors, share of voice | **ai-search-analyst** | | **Page performance** | Page-level AEO + GSC + GA4 metrics, smart filters, optimization opportunities | **page-analyst** | Delegate to the right agent. If a question spans both (e.g. "which pages are losing AI c
- The Data Model (Conceptual)
- Two Domains of Data
- Branded vs Non-Branded (Critical Guardrail)
- Handling Ambiguous Requests
- "How are we doing?"
- "What should we work on?"
- "How do we compare to competitors?"
- "Show me our best/worst performing content"
- "What's happening with [specific provider]?"
- When you don't have enough context — ASK:
- Reading AI Search Numbers
- Mentions first, citations second
- Metric combinations that tell a story
- Volume matters
What does the aeo-data-guide skill do?
How to think about AirOps AEO data — interpreting metrics, handling ambiguous asks, routing to the right agent.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill aeo-data-guide --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.