In the Articles section, you can view detailed metrics for each article you have published. Here are the key metrics provided:
Number of Views: This metric shows how many times the article has been viewed. It helps gauge the overall reach and interest in the topic.
Likes: The number of likes indicates how many users found the article useful or enjoyable. This is a direct measure of the positive reception of your content.
Dislikes: Conversely, the number of dislikes helps you understand any negative feedback. High dislikes might prompt a review of the content or its presentation.
AI Usage: This metric indicates whether and how much artificial intelligence tools were used to assist in creating or optimizing the article. It can be useful for assessing the impact of AI on content performance.
Published On: Knowing when an article was last published helps track content freshness and relevance. It's crucial for maintaining timely and updated information.
How is the data for likes and dislikes, collected?
At the end of every public article, there's a feedback section where readers can provide feedback. If the article was helpful they can click on thumbs up or else down. The number of likes and dislikes are tallied from these interactions.
What does AI usage mean in Article analytics?
Every public article is part of AI Knowledge. When AI uses an article to formulate a response, this interaction is recorded and contributes to the AI usage statistics for that article.
Therefore AI usage metrics of an article reflects how often that article is utilized by AI to generate answers. This data helps in understanding the frequency of AI reliance on specific articles.
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