Successful Keyword Mapping In 5 Easy Steps: How To Create A Site Structure With Our Clustering Tool

So, you've researched your industry well, analyzed direct competitors, and even collected an infinite list of keywords that you think will make your site rank well. What now? You should distribute these keywords across the site to meet both visitor needs and SEO requirements. One useful method, which is considered as the next part of keyword research, is keyword mapping. Using Keyword Mapping, you can create a highly user-friendly website. To explain this method better, I'll show you an example of how to create the website structure for an online store.

You've definitely heard about the keyword research more than once. Still, I wanted to remind you of some necessary steps to help you do keyword research. The first thing you should do is carefully analyze your niche and your competitors. How to do that? Serpstat will help you:

For example, to collect keywords for an online store, I do a keyword search. An important source of search queries are Related Keywords and Search Suggestions.

Before you export these keywords, don't forget to sort the list by search volume. Moreover, you can exclude error words, toponyms, and some unwanted queries using filters if you need. At this stage, you can also filter commercial or informational queries if you don't need them. Then export the data in the required format.

Analysis of competitors helps every SEO. By examining other sites, you can not only expand the list of relevant keywords (as described above) but also improve your own page structure. The competitor's analysis saves a lot of your time because all mistakes become immediately obvious. Serpstat offers two ways to find competitors on your website:

The search is very simple and lets you find a long list of websites that are thematically related to your search term or website in a few seconds.

If your site is just on the plan and you want to analyze the competition level, then follow the rules:

As a result, you will be provided with a complete list of competitive websites that you can save and export. This report helps analyze the page structures. Analyze these niche pages to get an idea of what an optimal page structure looks like. Basing on the best role models, you can quickly plan and create your own website structure.

This variant is suitable even if your website already exists, and you want to improve the ranking in the search results and optimize the website structure.

Depending on the goals you are following, you can edit the list of competitors you've found: delete or add more websites. I saved this list and ran the competitor's analysis in Google Spreadsheets.

To find information or product faster, you may also prepare appropriate tags and filters and collect keywords for these pages accordingly.

Basing on the competitor's analysis, I've created a site structure, which includes rough names of the categories and subcategories.

Make sure that your website contains not only commercial but also technical and informational pages. If you notice these pages immediately in the competitor analysis, this makes your further SEO routine easier.

Well, you created the site structure and did the keyword research based on the competitors analysis. Now it's time to group collected search terms and distribute them according to specific pages. Manual grouping can take a lot of time. To resolve these issues, use the unique Serpstat tool, Keyword Clustering and Text Analytics.

When setting up clustering, you can achieve maximum similarity with Strong and Hard settings. Try different cluster settings and analyze results. What is also convenient is that repeated clustering with new settings doesn't spend any extra limits.

After the clustering is finished, the report will show the groups of keywords: Protocluster (1), Supercluster (2), and Cluster (3). They can be used as the basis for filling in corresponding categories, subcategories, or product pages.

I've created a clustering report that I use when I complete and expand the site structure. What is convenient, you can edit these results according to your goals and desires and manually revise. After that, search queries can be distributed between pages of the prepared website structure.

How can you do that? General terms with the highest search volume can be moved to the most important categories and subcategories. Special keywords and long-tail keywords that bring more detail to the topic suit well to common pages and product data feeds. Of course, this is just a general example, so you can do it according to your own logic and experience.

Don't forget to think about keywords for the tag and filter pages. For example, there are such filter characteristics for the category Notebooks in my online shop:

• price

• brand

• operating system

• screen resolution

• screen size

• processor

• color

• other features.

The well-known SEO rule states that a page should be optimized for a specific keyword. For this reason, be aware that you shouldn't mix commercial and informational search queries. If you doubt which keywords are best for a page, use the Serpstat Tree view option to examine the competitor's website structure with keywords. Or google this keyword and analyze SERPs so that you can immediately find out for which search terms a specific page appears in search results.

This step is the right time to elaborate on the rough site structure and to expand it using the clustered keyword list. If you see that some pages are not covered by keywords, do the extra keyword research to fill the gap.

For example, while clustering, I found that there are a lot of search queries associated with gaming notebooks. Although this category was not intended, I can do additional keyword research and expand the previous keyword list. You should pay special attention to the Related Keywords section, which is an important source of LSI semantics.

To populate the site structure, you should define content for all areas. Keep working on your clustering project to create the job for copywriters. Serpstat's Text Analytics let you examine each page for key text parameters. The special feature of the option is that the page analyzed is compared with corresponding pages of the competitors. As a result, you get a large report with recommendations for creating or improving the specific page. What should you do to get this data?

The following information shows:

• how well the chosen keywords of the analyzed pages fit

• what is the relationship between keywords in the group.

• how important are keywords in title, description and body text

• how popular is the particular keyword among competitors

• whether the keywords on the page are present.
  

• whether the length of the text corresponds to the average added value

• whether related technical errors have occurred on the page.

Using these recommendations, you can assign a task to the copywriter for a particular page that defines:

• keywords that should be used in the title and description tags, headlines, and text

• mandatory text length

• further recommendations for improvement if the page already exist.

Of course, there are several little things that should be considered in keyword mapping. To distribute keywords in accordance with the site structure, you have to keep in mind a few key factors that are not limited to usability and still important in your chosen SEO strategy. In this guide, there are several ways to save your keyword mapping time: competitor analysis, keyword research, and especially clustering and text analytics.

So to do the keyword mapping, follow the instructions: