Strategy & Growth

Complete Semantic Core — From Raw Data to Page-Level Mapping

Full keyword universe collection, NLP-powered clustering, search intent classification, and mapping to site structure. The foundation of every SEO strategy.

Build Your Semantic Core View Case Studies
120+
Semantic Cores Built
500K+
Keywords Per Project
+100%
Non-Brand Growth
What You Get

Scope & Deliverables

01 Full keyword universe collection (50K-500K+)
02 Python NLP clustering by SERP similarity
03 Search intent classification (info/comm/transactional)
04 Keyword-to-page mapping
05 Content gap identification
06 Cannibalization detection & resolution
07 Competitor keyword overlap analysis
08 Priority scoring & implementation plan
Process

How It Works

Step 01
Collect
All keyword sources & seed expansion
Step 02
Cluster
Python NLP grouping by SERP overlap
Step 03
Classify
Intent mapping & priority scoring
Step 04
Map
Keywords → existing/new pages
FAQ

Common Questions

Typically 50K-500K+ depending on niche. I use GSC, Ahrefs, SEMrush, Google Ads API, and custom scrapers.
Python NLP with SERP similarity analysis — not manual spreadsheets. Groups reflect how Google actually clusters results.
Structured spreadsheet with clusters, intents, volumes, priorities, and page assignments. Ready for implementation.

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Let's discuss how semantic core development can drive real results for your business.

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