Seoerlicking
Newbie
- Jul 14, 2026
- 9
- 4
Hey fellow SEO people 
We all know the classic keyword gap analysis:
Add competitors, export the keywords they rank for and you do not, then turn the spreadsheet into a content plan.
I have been playing with a more semantic approach lately.
Take the top ranking pages for a query, extract their main concepts, and connect concepts that appear together. This gives you a graph of how the topic is currently covered.
The interesting part is not simply finding missing concepts.
The big wins are two concepts that connect to many of the same nodes, but are not connected to each other.
Imagine concept A and concept B both connect to C, D, and E. They clearly belong to the same semantic neighborhood, but none of the analyzed pages explains the direct relationship between A and B.
That missing edge is the gap.
Instead of writing another page about a keyword competitors already cover, you can create content that explains a connection nobody in the current results is making.
To me, this feels especially relevant for GEO. It adds genuinely new information to the topic rather than repeating the same entities with slightly different wording.
I am still experimenting with how to score these missing connections, but shared neighbors plus search demand seems like a promising starting point.
What do you think about this approach?
We all know the classic keyword gap analysis:
Add competitors, export the keywords they rank for and you do not, then turn the spreadsheet into a content plan.
I have been playing with a more semantic approach lately.
Take the top ranking pages for a query, extract their main concepts, and connect concepts that appear together. This gives you a graph of how the topic is currently covered.
The interesting part is not simply finding missing concepts.
The big wins are two concepts that connect to many of the same nodes, but are not connected to each other.
Imagine concept A and concept B both connect to C, D, and E. They clearly belong to the same semantic neighborhood, but none of the analyzed pages explains the direct relationship between A and B.
That missing edge is the gap.
Instead of writing another page about a keyword competitors already cover, you can create content that explains a connection nobody in the current results is making.
To me, this feels especially relevant for GEO. It adds genuinely new information to the topic rather than repeating the same entities with slightly different wording.
I am still experimenting with how to score these missing connections, but shared neighbors plus search demand seems like a promising starting point.
What do you think about this approach?
