Examples of using the semantic core
Posted: Wed Feb 12, 2025 4:57 am
80% of successful SEO campaigns rely on a well-written semantic core. This is the basis of your promotion.
semantic core
Step 3. Clustering keywords
Clustering is the grouping of keywords by semantic categories. For example, for an online store of sportswear, the following clusters can be distinguished:
Clothing for men ("men's sportswear", "men's sneakers")
Clothing for women ("women's sportswear", "fitness leggings")
Clothes for children ("children's sportswear", "children's sneakers")
Helpful tip: Use automatic clustering tools like KeyCollector or Just-Magic to save time.
Step 4. Assessing popularity and competition
Not all keywords are mexico phone number list equally useful. Evaluate the popularity of queries (search traffic volume) and the level of competition. It is optimal to choose queries with high traffic volume and low or medium competition.
Example analysis:
If the query "buy a laptop" has high competition, try "cheap laptop for school" or "best laptop for work".
semantic core
Common mistakes when creating a semantic core
Using overly broad queries. For example, the query "clothing" is too broad and the competition for it is very high.
Ignoring low-frequency queries. Such queries have less competition and high conversion.
Lack of clustering. Without grouping keywords, it is difficult to create a site structure and content plan.
Ignoring changes. The semantic core needs to be updated regularly to keep up with changes in your niche.
Tip: Audit your semantic core quarterly. This will help identify outdated queries and add new ones.
semantic core
Step 3. Clustering keywords
Clustering is the grouping of keywords by semantic categories. For example, for an online store of sportswear, the following clusters can be distinguished:
Clothing for men ("men's sportswear", "men's sneakers")
Clothing for women ("women's sportswear", "fitness leggings")
Clothes for children ("children's sportswear", "children's sneakers")
Helpful tip: Use automatic clustering tools like KeyCollector or Just-Magic to save time.
Step 4. Assessing popularity and competition
Not all keywords are mexico phone number list equally useful. Evaluate the popularity of queries (search traffic volume) and the level of competition. It is optimal to choose queries with high traffic volume and low or medium competition.
Example analysis:
If the query "buy a laptop" has high competition, try "cheap laptop for school" or "best laptop for work".
semantic core
Common mistakes when creating a semantic core
Using overly broad queries. For example, the query "clothing" is too broad and the competition for it is very high.
Ignoring low-frequency queries. Such queries have less competition and high conversion.
Lack of clustering. Without grouping keywords, it is difficult to create a site structure and content plan.
Ignoring changes. The semantic core needs to be updated regularly to keep up with changes in your niche.
Tip: Audit your semantic core quarterly. This will help identify outdated queries and add new ones.