By this point, you should have a pretty good understanding of which keywords are most related to each other.
2. Volume
We keep coming back to volume because it's such a valuable metric.
When deciding which related semantic keywords to use, you can use volume metrics to filter out lower-value keyword opportunities.
In the example above, "motorcycle jackets with armor" has the following search volume metrics:
Minimum volume: 501
Maximum volume: 805
Exact volume: 730
Minimum and maximum volume represent the estimated range of monthly keyword search volume with the highest probability, whereas exact volume represents a best guess estimation of the exact search volume for that keyword.
If it fits the brand or offering, we'd definitely want to consider "cheap" in this context.
On the other hand, "mesh motorcycle jacket with armor" only has a search volume of 1-10. If "mesh" wasn't central to our offerings, we'd probably consider leaving this keyword out of consideration.
3. Modifiers, n-grams, and repeating phrases
When you see the same keywords repeating over and over again in your keyword set, that's a good sign you should include those topics and phrases in your related keyword set.
This is true even if the individual keywords don't have very much volume by themselves, because as we know, having a bunch of long-tail keywords in our content can eventually add up, allowing for more gradual traffic as well as attracting new individuals to our content.
If we look at our "motorcycle jackets with armor" example, we can see the same keyword modifiers appearing again and again. These include:
These appear so often with our main keywords, it seems like a good idea to include these modifiers when crafting our on-page keyword strategy, assuming that these keywords are relevant to the page.
Often, it's helpful to use a tool such as a word frequency counter to actually count all your semantic keyword variations. We've loaded the first 50 most relevant keywords from our spreadsheet into such a tool and came up with the following word frequencies: