Brand mention and authority scanner for AI visibility. Analyzes brand presence across platforms that AI models rely on for entity recognition and citation decis
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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.
Based on the Ahrefs December 2025 study and corroborating research from Profound (2025) and Terakeet (2025):
Why YouTube matters most:
What to check:
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 |
Why Reddit matters:
What to check:
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 |
Why Wikipedia matters:
What to check:
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 |
Why LinkedIn matters:
What to check:
Scoring for LinkedIn (0-100):
| Score | Criteria |
|---|---|
| 90-100 | Active company page with 10K+ followers, leadership regularly posts thought leadership, brand frequently mentioned by industry professionals, strong employee profiles |
| 70-89 | Active company page with 5K+ followers, some employee thought leadership, occasional third-party mentions |
| 50-69 | Company page exists with 1K+ followers, irregular posting, limited third-party mentions |
| 30-49 | Company page exists but is sparse or inactive, few followers, no third-party mentions |
| 10-29 | Basic company page with minimal information |
| 0-9 | No LinkedIn company page |
These platforms have lower but still meaningful correlation with AI visibility:
| Platform | Weight | Rationale |
|---|---|---|
| YouTube Presence | 25% | Strongest correlation with AI citation (0.737) |
| Reddit Presence | 25% | Second strongest correlation; critical for product recommendations |
| Wikipedia / Wikidata | 20% | Entity recognition foundation; AI training data cornerstone |
| LinkedIn Authority | 15% | Professional authority signals; B2B relevance |
| Other Platforms | 15% | Supplementary signals from Quora, GitHub, news, forums, podcasts |
Formula:
Brand_Authority_Score = (YouTube * 0.25) + (Reddit * 0.25) + (Wikipedia * 0.20) + (LinkedIn * 0.15) + (Other * 0.15)
| Score Range | Rating | Interpretation |
|---|---|---|
| 85-100 | Dominant | Brand is a well-recognized entity across AI platforms. Highly likely to be cited and recommended by AI systems. |
| 70-84 | Strong | Brand has solid cross-platform presence. AI systems likely recognize and cite it for relevant queries. |
| 50-69 | Moderate | Brand has presence on some platforms but gaps exist. AI citation is inconsistent. |
| 30-49 | Weak | Brand has limited platform presence. AI systems may not recognize it as a distinct entity. |
| 0-29 | Minimal | Brand has negligible platform presence. AI systems are unlikely to cite or recommend it. |
Gather the following from the user or from the website:
For each platform, use WebFetch to search and assess presence:
YouTube Check:
[brand name] site:youtube.comyoutube.com/@[brand-name] or youtube.com/c/[brand-name] for official channel"[brand name]" site:youtube.com (exact match for mentions in descriptions)Reddit Check:
[brand name] site:reddit.com"[brand name]" site:reddit.com (exact match)reddit.com/r/[brand-name] for official subredditreddit.com/user/[brand-name] for official accountWikipedia Check (IMPORTANT — use BOTH methods to avoid false negatives):
Method 1 — Python API check (MOST RELIABLE, do this FIRST):
python3 -c "
import requests, json
from urllib.parse import quote_plus
brand = '[Brand_Name]'
# Check Wikipedia API directly
api_url = f'https://en.wikipedia.org/w/api.php?action=query&list=search&srsearch={quote_plus(brand)}&format=json'
r = requests.get(api_url, headers={'User-Agent': 'GEO-Audit/1.0'}, timeout=15)
data = r.json()
results = data.get('query', {}).get('search', [])
if results and brand.lower() in results[0].get('title', '').lower():
print(f'WIKIPEDIA PAGE EXISTS: {results[0][\"title\"]}')
print(f'URL: https://en.wikipedia.org/wiki/{results[0][\"title\"].replace(\" \", \"_\")}')
else:
print('No direct Wikipedia page found')
# Check Wikidata
wd_url = f'https://www.wikidata.org/w/api.php?action=wbsearchentities&search={quote_plus(brand)}&language=en&format=json'
r2 = requests.get(wd_url, headers={'User-Agent': 'GEO-Audit/1.0'}, timeout=15)
wd = r2.json()
entities = wd.get('search', [])
if entities:
print(f'WIKIDATA ENTRY: {entities[0].get(\"id\", \"\")} — {entities[0].get(\"description\", \"\")}')
"
Method 2 — Direct URL check (backup verification):
https://en.wikipedia.org/wiki/[Brand_Name] — check if the page loads (not a redirect to search)https://en.wikipedia.org/wiki/[Founder_Name] for founder articleMethod 3 — Search (least reliable, use only for supplemental info):
[brand name] site:wikipedia.org[brand name] site:wikidata.orgCRITICAL: Web search alone is NOT reliable for determining Wikipedia presence. ALWAYS run the Python API check first. If the API says a page exists, it exists — do not override this with a search result that fails to find it.
LinkedIn Check:
[brand name] site:linkedin.comlinkedin.com/company/[brand-name] for company pageOther Platforms:
[brand name] site:quora.com[brand name] site:stackoverflow.com (if technical brand)[brand name] site:github.com (if technical brand)[brand name] site:news.ycombinator.com (Hacker News)"[brand name]" broadly for news mentions (filter to last 6 months)For Reddit and other discussion platforms, assess sentiment by analyzing the most recent and most prominent mentions:
| Sentiment | Indicators |
|---|---|
| Positive | Recommendations ("I love [brand]," "We switched to [brand] and...", "Highly recommend"), upvoted mentions, positive comparison against competitors |
| Neutral | Factual mentions ("We use [brand] for...", "[Brand] offers..."), questions about the brand, balanced comparisons |
| Negative | Complaints ("Avoid [brand]", "[Brand] has terrible support"), downvoted recommendations, negative comparisons |
| Mixed | Combination of positive and negative. Note the ratio and primary themes. |
If competitors are identified, do a quick scan of their platform presence for context. This helps calibrate the score -- a brand with "moderate" Reddit presence in an industry where competitors have zero Reddit presence is relatively strong.
Generate a file called GEO-BRAND-MENTIONS.md:
# Brand Authority Report: [Brand Name]
**Analysis Date:** [Date]
**Brand:** [Brand Name]
**Domain:** [URL]
**Industry:** [Industry]
---
## Brand Authority Score: [X]/100 ([Rating])
### Platform Breakdown
| Platform | Score | Weight | Weighted | Status |
|---|---|---|---|---|
| YouTube | [X]/100 | 25% | [X] | [Active Channel / Mentioned / Absent] |
| Reddit | [X]/100 | 25% | [X] | [Active / Discussed / Absent] |
| Wikipedia | [X]/100 | 20% | [X] | [Article / Mentioned / Absent] |
| LinkedIn | [X]/100 | 15% | [X] | [Active / Basic / Absent] |
| Other Platforms | [X]/100 | 15% | [X] | [Summary] |
| **Total** | | | **[X]/100** | |
---
## Platform Detail
### YouTube ([X]/100)
**Official Channel:** [Yes/No] | [URL if exists]
**Subscribers:** [Count or N/A]
**Videos:** [Count or N/A]
**Last Upload:** [Date or N/A]
**Third-Party Mentions:** [Estimated count]
**Key Findings:**
- [Finding 1]
- [Finding 2]
### Reddit ([X]/100)
**Official Account:** [Yes/No] | [URL if exists]
**Own Subreddit:** [Yes/No] | [URL and member count if exists]
**Mention Volume:** [Estimated thread count]
**Primary Subreddits:** [List of subreddits where brand is discussed]
**Sentiment:** [Positive/Negative/Neutral/Mixed]
**Key Findings:**
- [Finding 1]
- [Finding 2]
### Wikipedia ([X]/100)
**Company Article:** [Yes/No] | [URL if exists]
**Founder Article:** [Yes/No] | [URL if exists]
**Wikidata Entry:** [Yes/No] | [Q-number if exists]
**Cited in Other Articles:** [Yes/No] | [Which articles]
**Key Findings:**
- [Finding 1]
- [Finding 2]
### LinkedIn ([X]/100)
**Company Page:** [Yes/No] | [URL if exists]
**Followers:** [Count or N/A]
**Post Frequency:** [Weekly/Monthly/Rare/Never]
**Key Findings:**
- [Finding 1]
- [Finding 2]
### Other Platforms ([X]/100)
| Platform | Presence | Notes |
|---|---|---|
| Quora | [Yes/No] | [Brief note] |
| Stack Overflow | [Yes/No] | [Brief note] |
| GitHub | [Yes/No] | [Brief note] |
| Hacker News | [Yes/No] | [Brief note] |
| News/Press | [Yes/No] | [Brief note] |
| Podcasts | [Yes/No] | [Brief note] |
---
## Recommendations
### Immediate Actions (Week 1-2)
1. **[Platform]:** [Specific action to take with expected impact]
2. **[Platform]:** [Specific action]
### Short-Term Strategy (Month 1-3)
1. **[Platform]:** [Strategy with tactics]
2. **[Platform]:** [Strategy with tactics]
### Long-Term Authority Building (Month 3-12)
1. **[Platform]:** [Long-term strategy]
2. **[Platform]:** [Long-term strategy]
---
## Competitive Context
[If competitors were analyzed, show a brief comparison table]
| Brand | YouTube | Reddit | Wikipedia | LinkedIn | Other | Total |
|---|---|---|---|---|---|---|
| [Subject Brand] | [X] | [X] | [X] | [X] | [X] | **[X]** |
| [Competitor 1] | [X] | [X] | [X] | [X] | [X] | **[X]** |
| [Competitor 2] | [X] | [X] | [X] | [X] | [X] | **[X]** |
## Key Takeaway
[1-2 sentence summary of the brand's AI visibility standing and the single most impactful action to take]
| Signal | Correlation with AI Citation | Traditional SEO Value |
|---|---|---|
| YouTube mentions | ~0.737 | Low (not a ranking factor) |
| Reddit mentions | High (exact coefficient not published) | Low |
| Wikipedia presence | High | Moderate (trust signal) |
| LinkedIn presence | Moderate | Low |
| Domain Rating | ~0.266 | Very High |
| Backlink count | ~0.266 | Very High |
| Organic traffic | Moderate | Very High |
Key insight: The signals that matter most for AI visibility (YouTube, Reddit) are almost irrelevant in traditional SEO, and the signals that matter most for traditional SEO (backlinks, DR) are weak predictors of AI visibility. This requires a fundamentally different optimization strategy.
YouTube Quick Wins:
Reddit Quick Wins:
Wikipedia Strategy:
LinkedIn Quick Wins: