geo-brand-mentions

What this skill does

# 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.

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## 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?
- **Comment mentions:** Is the brand mentioned in comments on relevant industry videos?

**Scoring for YouTube (0-100):**

| Score | Criteria |
|---|---|
| 90-100 | Active channel with 10K+ subscribers, regular uploads, brand mentioned in 20+ third-party videos, appears in YouTube search results for industry terms |
| 70-89 | Active channel with 1K+ subscribers, brand mentioned in 10-19 third-party videos, some YouTube search presence |
| 50-69 | Channel exists with some content, brand mentioned in 5-9 third-party videos, limited YouTube search presence |
| 30-49 | Channel exists but inactive, brand mentioned in 1-4 third-party videos |
| 10-29 | No channel or empty channel, brand mentioned in 1-2 videos only |
| 0-9 | No YouTube presence whatsoever |

---

### 2. Reddit Mentions -- High Correlation

**Why Reddit matters:**
- Reddit is one of the most heavily indexed platforms in AI training data (confirmed in Google's $60M/year Reddit licensing deal, 2024).
- AI systems heavily weight Reddit for product recommendations, comparisons, and user sentiment.
- "Reddit" is now appended to an estimated 10-15% of Google searches by users seeking authentic opinions.
- Perplexity frequently cites Reddit threads as sources.
- ChatGPT and Claude both reference Reddit discussions when answering product/service questions.

**What to check:**
- **Subreddit presence:** Is the brand discussed in relevant subreddits? Which ones?
- **Mention volume:** How many Reddit threads mention the brand? What is the trend (increasing/decreasing)?
- **Sentiment:** Are mentions mostly positive, negative, or neutral? What are common praise points and complaints?
- **Official presence:** Does the brand have an official Reddit account? Do they participate in discussions? Have they done AMAs?
- **Recommendation threads:** Does the brand appear in "What do you recommend for X?" threads? Is it the top recommendation or an also-ran?
- **Subreddit community:** Does the brand have its own subreddit? How active is it?

**Scoring for Reddit (0-100):**

| Score | Criteria |
|---|---|
| 90-100 | Frequently recommended in relevant subreddits, predominantly positive sentiment, active official presence, own subreddit with 5K+ members, appears in top recommendations for industry queries |
| 70-89 | Regularly mentioned in relevant subreddits, mostly positive sentiment, some official presence, appears in multiple recommendation threads |
| 50-69 | Mentioned in several relevant threads, mixed sentiment, brand name is recognized by community members |
| 30-49 | Occasional mentions, limited to 1-2 subreddits, no official presence |
| 10-29 | Rare mentions, brand largely unknown on Reddit |
| 0-9 | No Reddit presence |

---

### 3. Wikipedia Presence -- High Correlation

**Why Wikipedia matters:**
- Wikipedia is one of the highest-authority sources in AI training data. All major AI models have been trained on Wikipedia dumps.
- AI systems use Wikipedia as a primary source for entity recognition -- determining whether a brand is a "real" entity worth knowing about.
- Wikidata (Wikipedia's structured data sibling) provides machine-readable facts that AI models use for knowledge graph construction.
- Having a Wikipedia page is a strong signal of notability, which correlates with AI systems treating the brand as an authoritative entity.

**What to check:**
- **Wikipedia page:** Does the brand or company have its own Wikipedia article? Is it marked for deletion or quality issues?
- **Founder page:** Does the founder/CEO have a Wikipedia page? (Strong authority signal)
- **Wikipedia citations:** Is the brand's website cited as a reference in any Wikipedia articles?
- **Wikidata entry:** Does the brand have a Wikidata item (Q-number)? How complete is it?
- **Wikipedia mentions:** Is the brand mentioned in other Wikipedia articles (industry articles, competitor pages, category pages)?
- **Article quality:** If a Wikipedia page exists, is it a stub, start-class, or higher quality?

**Scoring for Wikipedia (0-100):**

| Score | Criteria |
|---|---|
| 90-100 | Detailed Wikipedia article (B-class or higher), Wikidata entry with complete properties, brand cited as reference in multiple articles, founder has Wikipedia page |
| 70-89 | Wikipedia article exists (start-class or higher), Wikidata entry exists, brand mentioned in 2+ other Wikipedia articles |
| 50-69 | Wikipedia article exists (stub or start), basic Wikidata entry, limited mentions in other articles |
| 30-49 | No Wikipedia article but brand is mentioned in other articles or cited as reference; Wikidata entry may exist |
| 10-29 | Brand mentioned in 1-2 Wikipedia articles as a passing reference only |
| 0-9 | No Wikipedia or Wikidata presence of any kind |

---

### 4. LinkedIn Presence -- Moderate Correlation

**Why LinkedIn matters:**
- LinkedIn content is increasingly indexed by AI systems for professional and B2B context.
- Company LinkedIn pages and employee thought leadership posts build brand entity signals.
- AI models reference LinkedIn for company information, team credentials, and professional authority.
- LinkedIn articles and posts are indexed by search engines and AI crawlers.

**What to check:**
- **Company page:** Does the brand have a LinkedIn company page? Follower count? Post frequency?
- **Employee thought leadership:** Are employees (especially leadership) posting thought leadership content that mentions the brand?
- **Company mentions:** Is the brand mentioned in LinkedIn posts by non-employees? Industry analysts? Customers?
- **LinkedIn articles:**