---
name: AI Visibility
slug: ai-visibility
category: SEO
description: AI Visibility measures real traffic and cited pages from ChatGPT, Perplexity, Claude, Gemini, and other AI engines using GA4 referral data. Use it to check AI visibility, citation patterns, and which pages to restructure.
github: "https://github.com/Ryze-AI-Adgent/open-seo-mcp-skills/tree/main/skills/ai-visibility"
language: Shell
stars: 262
forks: 2
install: "npx degit https://github.com/Ryze-AI-Adgent/open-seo-mcp-skills/tree/main/skills/ai-visibility ~/.claude/skills/ai-visibility"
installs_to: ~/.claude/skills/ai-visibility
source_path: skills/ai-visibility/SKILL.md
collection_size: 8
category_size: 176
collection_url: "https://dirskills.com/collections/Ryze-AI-Adgent/open-seo-mcp-skills"
added: 2026-09-02T05:20:09.391Z
last_synced: 2026-09-02T05:20:09.391Z
canonical_url: "https://dirskills.com/skills/ai-visibility"
---

# AI Visibility

AI Visibility measures real traffic and cited pages from ChatGPT, Perplexity, Claude, Gemini, and other AI engines using GA4 referral data. Use it to check AI visibility, citation patterns, and which pages to restructure.

**Install:**

```bash
npx degit https://github.com/Ryze-AI-Adgent/open-seo-mcp-skills/tree/main/skills/ai-visibility ~/.claude/skills/ai-visibility
```

## README

# AI Visibility

Every "AI visibility tracker" samples prompts and guesses. GA4 records the actual clicks AI engines send. Measure the real thing first, then diagnose.

## Workflow

1. **Traffic by engine.** `google_analytics__getAiTrafficByEngine` — sessions per AI source (ChatGPT, Perplexity, Gemini, Claude, Copilot…), current vs previous period.
2. **Trend.** `google_analytics__getAiTrafficDaily` — is AI traffic growing, and did anything spike (a spike = something started citing you; find it).
3. **Cited pages.** `google_analytics__getAiLandingPages` — which URLs AI engines actually send people to. These are your proven-citable pages.
4. **Referral detail.** `google_analytics__getAIReferrals` for source-level detail and conversions — is AI traffic converting better or worse than organic.
5. **Diagnose the winners.** Read the top 2–3 cited pages (fetch them). Note the pattern: direct answers high on the page, stats/definitions, clean headings, schema. That pattern is the citation recipe for this site.
6. **Find the misses.** Cross-reference with `google_search_console__runRawSearchAnalytics`: pages with strong organic queries but zero AI referrals — candidates to restructure toward the citation recipe from step 5.

## Output

Verdict (AI traffic share of organic, trend, top engine), then: engine table, cited-pages table with conversions, the citation recipe observed on winning pages, and a top-5 list of pages to restructure. Keep it concrete — name the pages and the exact change.

## Fallback

If the GA4 AI-traffic tools aren't available in the workspace, build the same report with `google_analytics__runRawReport` filtered on `sessionSource` matching known AI referrers (chatgpt.com, perplexity.ai, gemini.google.com, claude.ai, copilot.microsoft.com).