Empower your customers to find answers on their own with Aura AI’s smart suggestions. By leveraging the content you’ve trained Aura with, it can intelligently assist users by providing relevant answers to their questions, ensuring a seamless self-service experience.
How Smart Suggestions Work
When users interact with Aura AI, it searches through the trained content to provide answers based on the information available.
If the questions match the content Aura has been trained on, Aura will generate relevant responses. This allows users to quickly find the information they need without having to search through multiple articles.
Although Aura does not directly provide links to specific articles, it can give detailed responses based on the content.
Enable Article Suggestions for Self-Service
To further enhance the self-service experience, you can configure the Web2Chat messenger to enable Article Suggestions. This feature lists relevant help center articles to users, allowing them to find solutions faster.
Best Practices for Smart Suggestions
To make the most of Aura AI’s smart suggestions, follow these tips:
- Keep content up to date: Regularly update the information you train Aura with to ensure responses are accurate and relevant.
- Ensure comprehensive content coverage: Include a wide range of topics in your training content so Aura can provide answers for various customer queries.
- Monitor common questions: Identify frequently asked questions and ensure related content is well covered.
With Aura AI’s smart suggestions, users can quickly get the help they need without extensive searching. By training Aura with comprehensive and current content and enabling Article Suggestions, you can enhance the self-service experience for your customers.
If you need further assistance, contact our Customer Support.