Building Semantic Vector Search in WordPress with Embeddings
Add semantic search to WordPress with chunked content, vector embeddings, similarity metrics, pgvector retrieval and grounded RAG responses.
Aditya Bhimrajka15 min read
Search & Performance topic
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Every article, newest first
Original research, data attached
Three studies of how websites look to AI systems. Each one publishes its method, its limitations and a CSV with a row per site.
Open the research hub-
1.95×
Training crawlers are blocked about twice as often as search crawlersrobots.txt of 506 top sites, 14 AI crawlers
Ashish Khan -
3%
Only 8 of 243 top homepages are structurally quotable by AINine weighted checks, median score 45 of 100
Sakshi Kumari -
16%
Of 148 businesses in 20 cities, only 16% sign their workAuthor and date declared on the homepage
Ashish Khan
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On the callfrom this archive
Ashish KhanSEO Specialist. AI crawler access, city-market readiness, keyword research.
42articlesSakshi KumariSEO Specialist. AI answer extractability, attribution, knowledge panels.
29articles