geo-brand-mentions

v2026.09.24

Brand mention and authority scanner for AI visibility.

GitHub
安装命令
npx skhub add sickn33/geo-brand-mentions
Markdown
SKILL.md

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.


Contents

When to Use

  • You need a Generative Engine Optimization task for a website: audit, citability, crawlers, schema, llms.txt, content, platform tuning, or client reporting.
  • Run read-only analysis first; propose site changes before making any.

Limitations

  • Audits are read-only analysis; never publish, deploy, or modify the target site without explicit approval.
  • Scores and citation likelihoods are heuristics, not guarantees from AI search platforms.
  • Docs-only import: upstream scripts, agents, hooks, and schema templates are not bundled.

Example

curl -s https://example.com/robots.txt
curl -s https://example.com/llms.txt

Adapted from zubair-trabzada/geo-seo-claude (MIT); frontmatter, When to Use/Limitations, and safety boundaries added for upstream compliance. Docs-only import: upstream runtime helpers not bundled.

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版本
最新版本元数据

版本

v2026.09.24

发布时间

2026年9月24日

分类

未分类

许可证

MIT

源路径

skills/geo-brand-mentions

默认分支

main

最新提交

7b534bc

Tree SHA

8d3d722