Here you can look at the related search queries for a topic and an entity. Here are some examples:
Posted: Wed Jan 29, 2025 10:51 am
The big question remains how Google determines semantic relationships between topics and thus content or documents. For the content of the core document itself, WDF*IDF is a formula that can be used. But what about other relationships? Here are some approaches:
search behavior
Google could determine which topics or search queries are closely correlated with each other. Firstly, in terms of how often they are mentioned together and the chronological sequence. This could also be used to check the proximity of an entity or brand to a product or topic.
foot locker
What is interesting here is the reference of Foot Locker to another entity, namely “Snipes”, as well as the reference to the product “adidas jacket” and the regional reference to “Gelsenkirchen” and “Berlin Kudamm”.
Zalando
In the example of “zalando”, Google could determine a thematic proximity to the topic “clothes” and “shoes” due to the related search queries. But also to the entity Planet Sports and Deichmann, which are most likely in the same ontology.
Nike sneakers
Zalando's thematic proximity to Nike sneakers becomes clear when you search for "nike sneakers". What is also striking is the good ranking in third place, directly behind the official Nike store.
At this point, I leave it up to each individual to think about what gambling data romania impact this would have on the connection between (offline) marketing and SEO…
Using the keyword planner can also provide information about the semantically thematic connection between terms or topics. Here is an example for my name:
olaf_kopp
Thematically related terms to olaf kopp in the Keyword Planner
By default, the terms are sorted by relevance, not by search volume or click price.
Other tools such as Google Correlate can provide information about which search terms are frequently searched for in a certain chronological order and are therefore related to each other.
search behavior
Google could determine which topics or search queries are closely correlated with each other. Firstly, in terms of how often they are mentioned together and the chronological sequence. This could also be used to check the proximity of an entity or brand to a product or topic.
foot locker
What is interesting here is the reference of Foot Locker to another entity, namely “Snipes”, as well as the reference to the product “adidas jacket” and the regional reference to “Gelsenkirchen” and “Berlin Kudamm”.
Zalando
In the example of “zalando”, Google could determine a thematic proximity to the topic “clothes” and “shoes” due to the related search queries. But also to the entity Planet Sports and Deichmann, which are most likely in the same ontology.
Nike sneakers
Zalando's thematic proximity to Nike sneakers becomes clear when you search for "nike sneakers". What is also striking is the good ranking in third place, directly behind the official Nike store.
At this point, I leave it up to each individual to think about what gambling data romania impact this would have on the connection between (offline) marketing and SEO…
Using the keyword planner can also provide information about the semantically thematic connection between terms or topics. Here is an example for my name:
olaf_kopp
Thematically related terms to olaf kopp in the Keyword Planner
By default, the terms are sorted by relevance, not by search volume or click price.
Other tools such as Google Correlate can provide information about which search terms are frequently searched for in a certain chronological order and are therefore related to each other.