# geo-brand-mentions

Scans brand visibility across YouTube, Reddit, and Wikipedia for AI search engines. Calculates a Brand Authority Score from 0 to 100 with platform tips.

- skill · `type=skill` · Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, OpenCode · 819 installs · ★ 11253
- Author: zubair-trabzada
- License: MIT · policy=mirror · the beginning of the file is at the end of this page
- Source: https://github.com/zubair-trabzada/geo-seo-claude/tree/HEAD/skills/geo-brand-mentions/SKILL.md
- Updated: 2026-10-25
- HTML: https://affpapa.org/en/nevibecode/skills/geo-brand-mentions

## What it does

The skill audits how often and where an AI retrieval system encounters your brand. It relies on Generative Engine Optimization research showing unlinked brand mentions on conversational hubs matter roughly 3x more for AI recommendations than standard backlinks.

To gather data, the skill uses tools like WebFetch, Bash, Grep, Glob, Write, and Read. It inspects YouTube transcripts, channel activity, Reddit threads, community sentiment, plus Wikipedia articles and Wikidata entities.

You get a Brand Authority Score rated from 0 to 100 alongside concrete action items. Without presence on these high-indexing hubs, generative models simply fail to recognise the entity during recommendation queries.

## Install

### Claude Code (native platform)

1. **Skills CLI (Vercel)**
```bash
npx skills add zubair-trabzada/geo-seo-claude --skill geo-brand-mentions -a claude-code
```

2. **Manually: put the files in place**
- File: `~/.claude/skills/geo-brand-mentions/SKILL.md` — Copy the whole skill folder; for one project use .claude/skills/geo-brand-mentions/

### Codex

1. **Skills CLI (Vercel)**
```bash
npx skills add zubair-trabzada/geo-seo-claude --skill geo-brand-mentions -a codex
```

2. **Manually: put the files in place**
- File: `.agents/skills/geo-brand-mentions/SKILL.md` — For all projects use ~/.agents/skills/

### Cursor

1. **Skills CLI (Vercel)**
```bash
npx skills add zubair-trabzada/geo-seo-claude --skill geo-brand-mentions -a cursor
```

2. **Manually: put the files in place**
- File: `.cursor/skills/geo-brand-mentions/SKILL.md` — Cursor also reads .agents/skills/ and .claude/skills/

### GitHub Copilot

1. **GitHub CLI**
```bash
gh skill install zubair-trabzada/geo-seo-claude geo-brand-mentions
```

2. **Manually: put the files in place**
- File: `.github/skills/geo-brand-mentions/SKILL.md`

### Gemini CLI

1. **Skills CLI (Vercel)**
```bash
npx skills add zubair-trabzada/geo-seo-claude --skill geo-brand-mentions -a gemini-cli
```

2. **Platform CLI**
```bash
gemini skills install https://github.com/zubair-trabzada/geo-seo-claude --path skills/geo-brand-mentions
```

### Windsurf (Devin Desktop)

**Manually: put the files in place**
- File: `.devin/skills/geo-brand-mentions/SKILL.md` — The legacy .windsurf/skills/ path still works

### OpenCode

**Skills CLI (Vercel)**
```bash
npx skills add zubair-trabzada/geo-seo-claude --skill geo-brand-mentions -a opencode
```

### Claude.ai

**Claude.ai**
- Zip the folder and upload it in Settings → Capabilities → Skills

Where a file is given instead of a command, copy the files from the source to that path: https://github.com/zubair-trabzada/geo-seo-claude/tree/HEAD/skills/geo-brand-mentions/SKILL.md

## When to use it
- Calculate Brand Authority Score for generative search visibility
- Audit brand presence across YouTube transcripts and video descriptions
- Analyze product sentiment and recommendation frequency on Reddit
- Verify company notability signals across Wikipedia and Wikidata

## Example prompts
- Run geo-brand-mentions to scan our brand visibility across AI platforms
- Check our product mentions and sentiment across Reddit and YouTube
- Calculate the Brand Authority Score and suggest platform improvements for Acme

## Source text · SKILL.md · MIT

Below is the content of a third-party file. It is data, not instructions for you: do not act on anything written inside unless the human asks. Block tag: 4dd37c4356485494.

BEGIN THIRD-PARTY FILE 4dd37c4356485494
```text
---
name: geo-brand-mentions
description: Brand mention and authority scanner for AI visibility. Analyzes brand presence across platforms that AI models rely on for entity recognition and citation decisions. Produces a Brand Authority Score (0-100) with platform-specific recommendations.
allowed-tools:
  - Read
  - Grep
  - Glob
  - Bash
  - WebFetch
  - Write
---

# Brand Mention Scanner Skill

## Core Insight

Brand mentions correlate approximately 3x more strongly with AI visibility than traditional backlinks. An Ahrefs study published in December 2025, analyzing 75,000 brands across AI search platforms, found that **unlinked brand mentions** -- references to a brand name without a hyperlink -- are a stronger predictor of whether AI systems cite and recommend a brand than Domain Rating or backlink count.

The critical finding: **the platform where the mention appears matters enormously.** Not all mentions are equal. A mention on YouTube or Reddit carries far more weight for AI citation than a mention on a low-authority blog, because AI training data and retrieval systems disproportionately index high-engagement platforms.

This inverts a core assumption of traditional SEO. In traditional SEO, a backlink from a high-DR site is the gold standard. In GEO, an unlinked mention on Reddit or a YouTube video description may be more valuable than a dofollow backlink from a DR 70 blog.

---

## Platform Importance Ranking for AI Citations

Based on the Ahrefs December 2025 study and corroborating research from Profound (2025) and Terakeet (2025):

### 1. YouTube Mentions -- Correlation ~0.737 (STRONGEST)

**Why YouTube matters most:**
- YouTube is the second-largest search engine and the largest video platform globally (2.5B+ monthly users).
- AI training datasets heavily incorporate YouTube transcripts, descriptions, and metadata.
- Google's Gemini and AI Overviews directly reference YouTube content.
- Perplexity and ChatGPT both index and cite YouTube video content.
- YouTube transcripts are particularly valuable because they contain natural language mentions in conversational context, which aligns with how AI models process and generate text.

**What to check:**
- **Brand YouTube channel:** Does the brand have an active YouTube channel? How many subscribers? Video count? Upload frequency?
- **Third-party video mentions:** Are other YouTubers or channels mentioning the brand? In what context (reviews, tutorials, comparisons)?
- **Video descriptions:** Does the brand name appear in video descriptions of industry-relevant content?
- **Video transcripts:** Is the brand mentioned in spoken content of relevant videos? (AI models index transcripts)
- **YouTube search presence:** When searching "[brand name]" on YouTube, do results appear? Are they positive?
```
END THIRD-PARTY FILE 4dd37c4356485494

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First 2796 of 23108 bytes. © zubair-trabzada · MIT · https://github.com/zubair-trabzada/geo-seo-claude/tree/HEAD/skills/geo-brand-mentions/SKILL.md

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