SERP Enrichment
Semantic ClusteringSERP Enrichment is the process of augmenting a seed keyword with real data from Google's SERP before LLM expansion. From a single query, SERP pulls: People Also Ask (user questions), Related Searches (associated queries), Refine Chips (filtering tiles), and Filter Sidebar (side filters). This yields 30-50 real user phrases from one query — phrases that people ACTUALLY type into Google.
In the clustering pipeline, SERP Enrichment happens BEFORE LLM expansion so real data takes priority over predictions. Phrases from SERP Enrichment are tagged as SERP-ONLY (highest credibility). Requires access to SERP data through SERP data API or manual copying.
In practice, even without an API you can do SERP Enrichment manually — enter your seed into Google and copy PAA, Related Searches, and Refine Chips into a spreadsheet.