Semantic core
Analysis and verification of the website's semantic core
A semantic core rarely remains relevant for long without revision. New pages and services appear on a website, search demand changes, some queries lose relevance, and Google begins showing pages of a different type for familiar keywords. Even a well-compiled semantic core may, after a few months, contain unnecessary phrases, omissions, and incorrectly distributed clusters.
Analysis of competitors' keywords and semantics
A native semantic core rarely covers all the queries that can drive targeted search traffic to a site. Some topics can be found through Keyword Planner, Google suggestions, and Search Console, but a significant layer of semantics can only be discovered by studying sites that already rank in the desired niche.
The best services for collecting semantic cores
Manually sorting through hundreds of search queries is no longer necessary to build a semantic core. Specialized services find related keywords, analyze competitors, help check search volume, and prepare a list of queries for website promotion. However, the capabilities of these tools vary significantly, so choosing the right program depends on the specific task.
What is the semantic core of a website?
Imagine an online store that sells bicycles. The catalog includes mountain bikes, city bikes, and children's bikes, the product specifications are well-documented, and the pages load without errors. However, Google traffic is low. One possible reason is that the store's structure doesn't take into account the queries customers use to search for bicycles.
An example of a website's semantic core
A ready-made semantic core helps understand what queries users enter into Google, which pages should respond to these queries, and which sections should be added to the website. The results of semantic core collection are typically compiled in Excel or Google Sheets: keywords are categorized into thematic groups, and search intent, search volume, and target URLs are indicated.
What is semantic core clustering and how to do it?
After collecting search queries, an SEO specialist receives a list of tens, hundreds, or even thousands of phrases. This list may contain service names, user questions, geo-queries, commercial keywords, and informational topics. Working with such a list without additional processing is inconvenient because it's not yet clear which keywords relate to which page.
How to create a website SEO structure based on semantics?
Website structure often begins with a menu: the owner lists services, the developer organizes them into sections, and the designer creates the navigation. This approach may seem convenient for a small project, but search demand remains outside the framework. As a result, some essential landing pages are missing, similar pages compete with each other, and important areas are buried deep within the…
How to compile a website's semantic core?
A semantic core helps us understand what people search for on Google, what words they use to describe a product, service, or problem, and what pages they expect to see in search results. Collecting queries without a system would result in a large, difficult-to-manage table. Therefore, semantic core collection always ends with cleaning, intent determination, clustering, and assigning groups to pages.
How to find keywords for ASO?
Every day, people search for apps in the App Store and Google Play using names, features, and problems they want to solve. To appear in those search results, an app needs search terms that match its features and the interests of its target audience.