SEO-A & SWE-SEO & Semantic Analysis

Example

Analyzing the first page of Google.it for a specific query to identify the distribution of elements like ads, organic results, and featured snippets.

Scenario

A business wants to understand how to rank for 'best coffee machines' in Italy. SEO-A & SWE would break down the SERP, showing that to rank well, they might need a mix of product pages with rich descriptions and informative articles comparing different models.

Example

Based on SERP analysis, recommending the creation of specific types of content, such as in-depth articles or quick answer posts.

Scenario

For a query like 'how to make espresso at home', if the SERP analysis reveals a preference for how-to guides, SEO-A & SWE would suggest creating a detailed blog post with step-by-step instructions and high-quality images.

Example

Identifying key entities related to a query and suggesting enhancements to ensure content is semantically rich and interconnected.

Scenario

A publisher wants to enhance an article about 'The history of espresso machines'. SEO-A & SWE identifies relevant entities (like inventors, brand names, and technological innovations) and suggests structuring the content to better link these entities, potentially through structured data markup.

Example

Classifying the primary intent behind search queries to guide content creation or optimization.

Scenario

Analyzing queries related to 'coffee grinding techniques' to determine if users are seeking informational content (how and why to grind coffee) or transactional content (buying a coffee grinder). SEO-A & SWE would then recommend the content strategy accordingly.