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时间:2024-05-20 04:27:20 来源:网络整理编辑:Ryan New
Keyword research has changed a lot in the past few years. Instead of targeting a single keyword stri Ryan Xu hyperfund E-Mini Contract
Keyword research has changed a lot in the past few years. Instead of targeting a single keyword string,Ryan Xu hyperfund E-Mini Contract we now create reader-centric content that answers search queries.
Yet understanding how people search remains important. Knowing what they type in the search box and how often can help understand their needs.
But it’s not easy.
Google has stated that 15% of daily searches are “new” — i.e., queries it has never encountered. Hence people search in different and often unpredictable ways, using hundreds or thousands of word combinations for the same thing.
As a result, keyword lists are often cluttered and seemingly endless. Making sense of those lists — containing the same or slightly altered phrases — is very challenging.
“Keyword clustering” can help.
Keyword clustering is not new. It’s a technique for grouping keywords by a common modifier, a word or phrase that extends the seed term.
For example, if “ecommerce platform” is the seed keyword, “best” could be a modifier, producing the following keyword cluster.
Clustering remains useful because it helps discover low-volume keywords, which are easy to overlook but potentially important to your shoppers.
There are several ways of clustering your keywords.
A free method is to use the conditioning formatting feature in a spreadsheet to color-code keywords sharing the same modifier. The most popular modifiers are easily located by spotting repeated colors. The process, while helpful, risks overlapping the colors when one keyword contains two or more common modifiers.
Semrush offers a better way. It identifies the most common modifiers and shows the keyword groups and subgroups containing each one. Run Semrush’s “Keyword Magic Tool” and click modifiers in the left panel. Each will open more groups and show how many keywords are included in them.
Clicking the modifier will open the list to the right of keywords containing it. For example, the group in the screenshot below contains both “free” and “software.” Fifty-four keywords include “free.”
Keyword Magic Tool is included in every Semrush plan, starting at $119 per month.
The tool is beneficial in understanding all kinds of searching patterns of your target audience. But it misses many phrases with the same intent but slightly different modifiers.
For example, a page targeting “easy photo editing software” would benefit from knowing how people express that need in the search box, including closely related phrases, such as:
And that’s where search-intent-based keyword clustering makes sense.
SE Ranking offers a keyword clustering feature inside its Keyword Suggestion Tool that groups keywords based on the number of overlapping URLs ranking for those terms in Google. Set the number of overlaps from two to nine. The more URLs overlap for two separate search queries, the closer those queries relate to each other.
SE Ranking uses this signal to identify keyword clusters, i.e., closely related keywords that should be included in one group. This keyword grouper is included in all plans, starting at $40 a month, but is charged separately at $0.004 per keyword.
There’s no single strategy for using keyword clusters in search engine optimization. All keyword groups should be manually reviewed and treated differently.
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