Go to Analytics › Articles in your dashboard. There you can see these numbers for each article you have published:
Views: how many times the article has been viewed. It helps you see how much interest there is in the topic.
Likes: how many readers found the article helpful.
Dislikes: how many readers didn't find it helpful. A high number is a good sign the article needs a review.
AI usage: how many times the AI used the article to answer a customer.
Published on: when the article was last published. It helps you spot articles that may be out of date.
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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