The resulting structure in the dataset

[mahmud220]

In accordance with the above, should basically contain groups and subgroups of terms for categories and filters, tags, questions, or specific products. When designing a website structure, we are at the border between SEO and UX. It may happen that in addition to the main group, you will only have dozens of subgroups in the design, which are logically equivalent. However, a similar category structure would be very confusing for the customer, and therefore it will be necessary to create signposts in the design at an intermediate level according to a parameter that some subgroups have in common. For watches, this will typically be Watches by Drive, Watches by Purpose, etc.

Although these intermediate levels will not accumulate Bosnia and Herzegovina Mobile Database any searches and thus will not drive significant organic traffic, they will make the website structure clearer for search engines and customers who have reached the higher level through a more general query. At the same time, they will make it easier for them to navigate the assortment and speed up the path to conversion. Now it will be crucial to assign the most suitable URL to these groups, or to suggest a new one. Therefore, it is necessary to create a list of existing URLs, which we will obtain, for example, from an analysis in Screaming Frog.

At the same time, we will pull the landing page and position from the SERP for the search queries in the dataset. At this stage, we select the most suitable one from the list of current URLs. We can compare the choice with the landing page from the SERP. If your website is at least somewhat understandable to search engines, it is very likely that the key terms will not differ. Provided that a landing page already exists for the given group on your website. Especially with larger websites, it happens that we discover very similar or duplicate pages across the structure. We often detect them precisely due to the accumulation under one group of terms.