In addition to domains and URLs, keywords can also be entered in the Research Cloud, for example to discover related clusters or other keywords.
Once the keyword is entered, you will automatically be taken to the Keyword Discovery section. At the top of the page, there are a couple of KPIs specific to that keyword.
In our example we can see that the average search volume for the keyword "pancake" is 184K. The largest search volume falls on March and April (see: Seasonality). We also see that the keyword appears mostly in organic rankings, but it also has recipe and video integration.
There is a table of related keywords at the bottom of the page. Keyword clusters that appear in relation to the entered keyword are displayed on the left side of the table. With one click, they expand and the keyword table adapts to the selected cluster.
The keywords can be filtered according to different approaches. Let's take a look at an example: We enter "vegan pancake" in the search bar.
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Word Match: both "pancake" and "vegan" are considered individually. You can see which cluster connects both terms. Several keywords can be analyzed in one search and all relevant clusters can be identified.
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Word Match: both "pancake" and "vegan" are considered individually. You can see which cluster connects both terms. Several keywords can be analyzed in one search and all relevant clusters can be identified.
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Phrase Match: It takes into account search queries in which the two terms are in any order or additional words are placed between the terms. You will receive a comprehensive list of keywords relevant to the combination of pancakes and vegan. For example, we find the keyword "vegan pancake mix."
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Exact Match: You will only see search results that use three words in that order. This function is useful when you want to exclude all other orders.
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Phrase Match: It takes into account search queries in which the two terms are in any order or additional words are placed between the terms. You will receive a comprehensive list of keywords relevant to the combination of pancakes and vegan. For example, we find the keyword "vegan pancake mix."
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Broad Match: Unlike the phrase match, the broad match filter includes word variations. A search for "vegan pancake" also reveals results such as "pancakes vegan" or "banana pancakes vegan." With a little effort, you can find new keywords quickly and easily.
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Broad Match: Unlike the phrase match, the broad match filter includes word variations. A search for "vegan pancake" also reveals results such as "pancakes vegan" or "banana pancakes vegan." With a little effort, you can find new keywords quickly and easily.
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SERP Features: If you want to rank better in the SERP features, for example for videos, images or recipes, filter the keyword list for the selected topic by that particular feature.
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SERP Features: If you want to rank better in the SERP features, for example for videos, images or recipes, filter the keyword list for the selected topic by that particular feature.
- Search Filter: You will find a search field for individual filtering above both the keyword list and the cluster table. You can use this filter function to search the keyword results according to your own specifications.
For each keyword in the table, you can display similar keywords by clicking on the three dots. Plus, for each keyword, you will get information about search volume, CPC, ad budget, SERP feature integration, seasonality, and main search intent.
You can export the entire list and then upload it to your project. In order to export, click on the three dots in the top right corner of the list and then click on "Export". Please note that export credits are charged for this, the amount of which vary by volume.
If you would like to add individual keywords to your project from a spreadsheet, simply check the box next to the relevant keywords and then click "Select Action" (appears in the top column once the keywords have been selected) > Add to Project.