Entities & Knowledge Graphs
Micro-Context
In shortThe fine-grained layer of context: the specific terms, entities and subtopics that pin down exactly what a query or page is about within its broader domain.
Micro-context is the detailed layer of meaning in a query or document: the specific terms, entities and subtopics that show exactly what it is about within a broader domain. It works together with macro-context, the general category such as medicine, sport or travel. Google’s “User-context-based search engine” patent describes using both layers to score how relevant results are.
How it works
As MLforSEO explains the patent’s model, relevance is judged in steps:
- Macro first. The system places the query and documents in a general domain, which filters out content from the wrong field.
- Then micro. Within that domain it looks at the specific terms, entities and subtopics to find the exact aspect the searcher wants, for example oncology treatment options within medicine, or ticket prices within travel.
- Blend. Macro and micro signals are combined into one relevance score, balancing topical fit against precise intent.
Using both layers avoids two failure modes: matching too broadly (anything loosely about the topic) and too narrowly (fixating on one isolated keyword).
How it’s used in SEO and marketing
- Content structure: signal the macro domain clearly on hub pages and cover micro subtopics in supporting pages and sections.
- Keyword categorisation: tag keywords with a macro category and a micro subtopic so clusters map cleanly to pages.
- Entity coverage: name the specific entities and attributes that define the subtopic instead of relying on generic phrasing.
- Cannibalisation checks: two pages in the same macro context that target the same micro context will compete.
- AI search: retrieval systems read chunks out of context, so each section should state its specific subject plainly.
Example
Take the query “best running shoes for flat feet”. The macro-context is sport and footwear. The micro-context is the attribute “flat feet” (overpronation, arch support, stability shoes). A general running-shoe roundup fits the macro-context, but a guide that names stability models, explains arch support and compares options for overpronation matches the micro-context, so it is the better answer.
Limitations and things to watch
- Macro and micro context come from a patent; Google does not document how, or whether, the exact method is used today.
- Overloading a page with subtopics can blur its micro-context. One clear focus per page or section works better.
- Micro-context depends on vocabulary. Use the terms your audience uses, which keyword and query data reveal.
Learn it on MLforSEO
- What is Query Context and Session Context in SEO?
- How to Structure and Categorise Keyword Data for Semantic Analysis
- Transitioning from Traditional to Semantic Keyword Universe (Checklist)
- The Semantic AI-powered SEO Keyword Research course, where the Query Context and Session Context lesson covers macro and micro context
Sources and further reading
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