$npx -y skills add zubair-trabzada/geo-seo-claude --skill geo-brand-mentionsBrand 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.
| 1 | # Brand Mention Scanner Skill |
| 2 | |
| 3 | ## Core Insight |
| 4 | |
| 5 | 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. |
| 6 | |
| 7 | 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. |
| 8 | |
| 9 | 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. |
| 10 | |
| 11 | --- |
| 12 | |
| 13 | ## Platform Importance Ranking for AI Citations |
| 14 | |
| 15 | Based on the Ahrefs December 2025 study and corroborating research from Profound (2025) and Terakeet (2025): |
| 16 | |
| 17 | ### 1. YouTube Mentions -- Correlation ~0.737 (STRONGEST) |
| 18 | |
| 19 | **Why YouTube matters most:** |
| 20 | - YouTube is the second-largest search engine and the largest video platform globally (2.5B+ monthly users). |
| 21 | - AI training datasets heavily incorporate YouTube transcripts, descriptions, and metadata. |
| 22 | - Google's Gemini and AI Overviews directly reference YouTube content. |
| 23 | - Perplexity and ChatGPT both index and cite YouTube video content. |
| 24 | - YouTube transcripts are particularly valuable because they contain natural language mentions in conversational context, which aligns with how AI models process and generate text. |
| 25 | |
| 26 | **What to check:** |
| 27 | - **Brand YouTube channel:** Does the brand have an active YouTube channel? How many subscribers? Video count? Upload frequency? |
| 28 | - **Third-party video mentions:** Are other YouTubers or channels mentioning the brand? In what context (reviews, tutorials, comparisons)? |
| 29 | - **Video descriptions:** Does the brand name appear in video descriptions of industry-relevant content? |
| 30 | - **Video transcripts:** Is the brand mentioned in spoken content of relevant videos? (AI models index transcripts) |
| 31 | - **YouTube search presence:** When searching "[brand name]" on YouTube, do results appear? Are they positive? |
| 32 | - **Comment mentions:** Is the brand mentioned in comments on relevant industry videos? |
| 33 | |
| 34 | **Scoring for YouTube (0-100):** |
| 35 | |
| 36 | | Score | Criteria | |
| 37 | |---|---| |
| 38 | | 90-100 | Active channel with 10K+ subscribers, regular uploads, brand mentioned in 20+ third-party videos, appears in YouTube search results for industry terms | |
| 39 | | 70-89 | Active channel with 1K+ subscribers, brand mentioned in 10-19 third-party videos, some YouTube search presence | |
| 40 | | 50-69 | Channel exists with some content, brand mentioned in 5-9 third-party videos, limited YouTube search presence | |
| 41 | | 30-49 | Channel exists but inactive, brand mentioned in 1-4 third-party videos | |
| 42 | | 10-29 | No channel or empty channel, brand mentioned in 1-2 videos only | |
| 43 | | 0-9 | No YouTube presence whatsoever | |
| 44 | |
| 45 | --- |
| 46 | |
| 47 | ### 2. Reddit Mentions -- High Correlation |
| 48 | |
| 49 | **Why Reddit matters:** |
| 50 | - Reddit is one of the most heavily indexed platforms in AI training data (confirmed in Google's $60M/year Reddit licensing deal, 2024). |
| 51 | - AI systems heavily weight Reddit for product recommendations, comparisons, and user sentiment. |
| 52 | - "Reddit" is now appended to an estimated 10-15% of Google searches by users seeking authentic opinions. |
| 53 | - Perplexity frequently cites Reddit threads as sources. |
| 54 | - ChatGPT and Claude both reference Reddit discussions when answering product/service questions. |
| 55 | |
| 56 | **What to check:** |
| 57 | - **Subreddit presence:** Is the brand discussed in relevant subreddits? Which ones? |
| 58 | - **Mention volume:** How many Reddit threads mention the brand? What is the trend (increasing/decreasing)? |
| 59 | - **Sentiment:** Are mentions mostly positive, negative, or neutral? What are common praise points and complaints? |
| 60 | - **Official presence:** Does the brand have an official Reddit account? Do they participate in discussions? Have they done AMAs? |
| 61 | - **Recommendation threads:** Does the brand appear in "What do you recommend for X?" threads? Is it the top recommendation or an also-ran? |
| 62 | - **Subreddit community:** Does the brand have its own subreddit? How active is it? |
| 63 | |
| 64 | **Scoring for Reddit (0-100):** |
| 65 | |
| 66 | | Score | Criteria | |
| 67 | |---|---| |
| 68 | | 90-100 | Frequently recommended in relevant subreddits, predominantly positive sentiment, active official presence, own subr |