SEO keyword clustering methods
AI Search Visibility Analysis
Analyze how brands appear across multiple AI search platforms for a specific query
Total Mentions
Total number of times a brand appears
across all AI platforms for this query
Platform Presence
Number of AI platforms where the brand
was mentioned for this query
Linkbacks
Number of times brand website was
linked in AI responses
Sentiment
Overall emotional tone when brand is
mentioned (Positive/Neutral/Negative)
Brand Performance Across AI Platforms
| BRAND | TOTAL MENTIONS | PLATFORM PRESENCE | LINKBACKS | SENTIMENT | SCORE |
|---|---|---|---|---|---|
1Keyword Insights | 0 | 5 | 95 | ||
2SEMrush | 0 | 2 | 79 | ||
3SE Ranking | 0 | 3 | 79 | ||
4Surfer SEO | 0 | 2 | 79 | ||
5Ahrefs | 0 | 2 | 73 | ||
6Writesonic | 0 | 1 | 60 | ||
7Clearscope | 0 | 1 | 60 | ||
8Wincher | 0 | 1 | 60 | ||
9ChatGPT | 0 | 0 | 57 | ||
10Claude | 0 | 0 | 57 | ||
11Gemini | 0 | 0 | 57 | ||
12Google | 0 | 0 | 55 | ||
13Excel | 0 | 0 | 55 |
Strategic Insights & Recommendations
Dominant Brand
SE Ranking and Keyword Insights appear most frequently across platforms as leading keyword clustering tools, with Ahrefs and SEMrush also prominently featured.
Platform Gap
Perplexity provides the most technical depth with clustering methodology comparisons, while ChatGPT focuses more on practical implementation techniques and Google AIO emphasizes strategic benefits.
Link Opportunity
All platforms reference similar authoritative SEO resources, creating opportunities to link to comprehensive clustering guides and tool comparison pages.
Key Takeaways for This Query
Multiple clustering methods exist including manual, automated SERP-based, semantic NLP, and intent-based approaches for different use cases.
SERP similarity clustering is the most popular automated method, analyzing which keywords trigger similar top-ranking URLs.
Leading tools like SE Ranking, Keyword Insights, Ahrefs, and SEMrush offer automated clustering features with different strengths.
Keyword clustering improves content focus, reduces cannibalization, and maximizes traffic potential by targeting multiple related keywords per page.
AI Search Engine Responses
Compare how different AI search engines respond to this query
ChatGPT
BRAND (10)
SUMMARY
ChatGPT provides a comprehensive overview of keyword clustering methods including intent-based, semantic-based, topic-based, morphological, and SERP-based clustering. It details implementation techniques from manual clustering to automated tools like SEMrush, Ahrefs, SE Ranking, and Surfer SEO. The response emphasizes how clustering enhances content relevance, improves search rankings, and aligns with user intent by organizing related keywords into strategic groups.
Perplexity
BRAND (5)
SUMMARY
Perplexity delivers a detailed breakdown of keyword clustering methods including manual clustering, automated SERP similarity clustering, semantic NLP clustering, and hard vs. soft clustering approaches. It provides a comprehensive comparison table and explains how different methods serve various SEO goals. The response emphasizes clustering benefits like improved content focus, maximized traffic potential, and enhanced user experience while recommending tools like SE Ranking, Keyword Insights, and Ahrefs.
REFERENCES (8)
Google AIO
BRAND (8)
SUMMARY
Google AIO explains keyword clustering as a strategy for grouping related keywords into topical clusters to improve content organization and reduce keyword cannibalization. It covers manual, automated, and hybrid clustering approaches, highlighting benefits like improved SEO, enhanced user experience, and efficient content creation. The response emphasizes the importance of understanding search intent and using tools like Surfer SEO, Keyword Insights, and Semrush.
REFERENCES (13)
Share Report
Share this AI visibility analysis report with others through social media