Does Google still use semantic query refinement from the 2013 patent?
Has anyone noticed any patterns recently with how Google groups or rewrites similar queries based on semantic info from that old '13 patent stuff? I'm seeing some weird cannibalization where slight variations in intent (like 'buy red shoes' vs 'purchase red sneakers') are getting lumped together in Search Console impressions. Would love to know if anyone's mapped these query clusters recently or found a way to break them out.
Asked by mohsinnouman
1 Answer
Yeah, Google still groups and rewrites queries using semantic relationships, but it has moved way beyond that old 2013 patent. Stuff like RankBrain, BERT, and now MUM are all about intent and meaning, not just keyword matching. I've seen the same thing in GSC, especially when there are plural vs singular or synonyms like 'buy' vs 'purchase', or 'sneakers' vs 'shoes'. The impression counts often roll up to a main URL, and sometimes the variations just disappear from the query list unless you look in regex or page filter. To break them out, I export raw queries from Search Console and cluster with something like the Google Cloud NLP API or even Python libraries like spaCy, then label clusters by intent. Also, if you want to force Google to treat them separately, try making your landing pages and internal links way more focused per intent, and mark up product pages with as much unique schema detail as you can. But honestly, anything semantically close these days is going to merge unless the content and intent are really distinct.