📌 What is Contextual Coverage?

Contextual Coverage refers to how well the article addresses the core topic 😊. It defines which part of the article is the most comprehensive or heaviest in terms of content, and it ensures that the main topic is sufficiently explored.

For instance, if you were to use an AI-based tool 🤖 to summarize the article, it should be able to give you an accurate summary that captures the essence of the article—specifically answering the questions "What is this article about?" and "What is its purpose?"

If the AI summarization misses key sections or fails to capture the article's primary objective ❗, this would indicate a problem with the contextual coverage.

Contextual Coverage represents the processing angles of a concept. It explores how a concept relates to or interacts with other entities or ideas, providing deeper context. For instance:

• 🔹 A country’s stance on the 🌍 environmental crisis connects to other countries addressing the same issue, forming a contextual domain around environmental policies.

🔍 Topical vs. Contextual Coverage

• 📝 Topical Coverage: Focuses more narrowly on specific details or subtopics within a given subject area.
• 🌐 Contextual Coverage: Examines broader relationships and connections between concepts.

🛠️ Search Engine Context Evaluation

Search engines evaluate macro (broad topic) and micro (specific details) context scores for:

• 📌 A source
• 📄 A web page
• 📑 Sections of a web page

🗂️ Context Qualifiers

Words like "for", "in", "at", "during", "while", or adjectives/adverbs provide contextual clarity.

🔎 Search Activity vs. Real-World Activity

• 💻 Search Activity: What users query online.
• 🌍 Search-Related Real-World Activity: Actions users take offline, influenced by search results (e.g., 🛒 buying fruits for 🍏 child health).