Semantic Query Clustering Engine Module - Concept

Group related queries by Google SERP overlap so one page can rank for multiple closely related intents.

Method (SERP‑Overlap Clustering)

• Build clusters where queries share the same or very similar TOP results.
• Clusters reflect similar meaning and the same user intent.

SERP Basics (Quick Primer)

• SERP (Search Engine Results Page): the page shown after a query in Google.
• SERP positions = the rank of a result (1, 2, 3...).
• Why it matters here: SERP‑overlap clustering groups keywords whose queries return very similar top results (e.g., ≥5 shared URLs), signaling the same intent and enabling one page to target multiple related queries.

Clustering Precision

• Precision = required count of shared URLs between two queries to join the same cluster.
• Higher precision → tighter, more semantically similar clusters.
• Default: precision = 5 (sufficient for most topics).