web
You’re offline. This is a read only version of the page.
close
Skip to main content
Community site session details

Community site session details

Session Id :
Customer experience | Sales, Customer Insights,...
Answered

AI features for classic chatbots

(0) ShareShare
ReportReport
Posted on by 16 Super User 2025 Season 2

Copilot Studio employs a language understanding model that uses an example-based approach, powered by a deep neural model. With the Copilot Studio model, you provide a few examples when you craft trigger phrases for a topic. The examples for a single topic are usually 5 to 10 phrases. Shorter trigger phrases are better, and you should aim for 2 to 10 words per phrase. Trigger phrases should be semantically different. For example, changing a single verb or noun could be enough to expand a topic's coverage.

Other changes or additions between phrases can be:

  • Articles such as the, a, or an
  • Capitalization
  • Contractions such as you're or don't

Plurals don't improve the triggering because contractions are already accounted for in the AI model.

Entities used in related topics automatically identify in user intents when matched with their trigger phrases. For example, the user intent "I want to book a ticket to Boston" matches with the trigger phrase "I want to book a ticket to Paris."

Topic overlap detection

I have the same question (0)
Liquid syntax error: Tag '{%' was not properly terminated with regexp: (?-mix:\%\})
  • Soundari Anandan Profile Picture
    16 Super User 2025 Season 2 on at
    AI features for classic chatbots
    This is text  available sdsads sdsds
     
     
    sdasdsds
  • Verified answer
    Soundari Anandan Profile Picture
    16 Super User 2025 Season 2 on at
    AI features for classic chatbots
    second reply
  • Suggested answer
    Soundari Anandan Profile Picture
    16 Super User 2025 Season 2 on at
    AI features for classic chatbots

    Topic overlap detection helps improve topic triggering accuracy by finding overlaps between topics. Resolving topic overlaps reduces the chatbot's need to ask clarifying questions before triggering a topic.

    After you turn on Topic overlap detection, you can view a list of overlapping topics. Go to the Analytics page for your agent and select Topic triggering.

    The Overlapping topics list shows a similarity score for each overlapping topic. A higher score means a topic has one or more trigger phrases close to another topic's trigger phrases. You can sort the list by similarity score, topic name, or number of trigger phrase overlaps.

    Select a topic in the list to see the overlapping trigger phrases—phrases that have similar sentence structure, words, and grammar.

    Using semantically similar trigger phrases for two different topics can lead to confusion. The chatbot might need to ask follow-up questions to the user.

Under review

Thank you for your reply! To ensure a great experience for everyone, your content is awaiting approval by our Community Managers. Please check back later.

Helpful resources

Quick Links

Mansi Soni – Community Spotlight

We are honored to recognize Mansi Soni as our August 2025 Community…

Announcing our 2025 Season 2 Super Users!

A new season of Super Users has arrived, and we are so grateful for…

Congratulations to the July Top 10 Community Leaders!

These are the community rock stars!

Leaderboard > Customer experience | Sales, Customer Insights, CRM

Last 30 days Overall leaderboard

Product updates

Dynamics 365 release plans