How to create FAQ common questions

When users ask sensitive questions or you need answers that are 100% precise, you can use FAQs to provide specified replies. This is suitable for common customer questions with fixed answers.

How to upload FAQ frequently asked questions

Select the AI assistant to operate

Go to the left menu "AI Features > AI Assistant", choose which AI assistant to create FAQs for, and click the "Actions" icon.

Add Q&A content

  1. Go to the left sidebar "AI Features > AI Assistant > Knowledge" , select "FAQ Frequently Asked Questions" tab, then click the top-right "+Create FAQ" blue button to start adding Q&A content.

  1. Create FAQ

The FAQ edit page supports setting multiple answer formats:

  • Basic text operations (bold, underline, italic, etc.)

  • Equations

  • Raw code (HTML, XML)

  • Embedded links (video, website)

    • Videos are provided as reference links for users (the AI assistant cannot read video content yet)

Answer format illustration

Allows you to use multiple formats to clearly highlight key points in answers to ensure information completeness.

Using e-commerce payment methods as an example, you can add the following question explaining online payment methods:

After creation, you can click preview to confirm the answer content:

After adding, press "Confirm" and the FAQ will be created; the AI assistant will be able to reference your provided answers when responding:

When a customer asks about online payment methods, the LLM will respond based on the FAQ content:

This limits the AI assistant's scope of answers, preventing it from providing incorrect or non-compliant content with company policies.

Other applications

Product operation guidance Q&A

Using MaiAgent platform usage As an example, suppose you need to help new users understand how to start using the MaiAgent system; you can add the following Q&A in the FAQ section:

Question: What if I don't know how to use MaiAgent?

If the answer is too long, you can click preview to confirm the full content

Answer preview screen

The AI assistant will, based on your provided answer, explain MaiAgent's available resources and getting-started steps, and provide the links in your answer for users to reference:


Knowledge introduction

Using LLM technology introduction For example, if you run a technology education platform and need to explain to the general public what a large language model (LLM) is, you can add the following Q&A to the FAQ section:

Question: How does an LLM work?

You can enter a video link into the answer

Click insert/edit media
Enter link illustration
Media insertion preview

The AI assistant will respond based on the answer you set, and provide the video's reference link for users to access:


FAQ management and maintenance key points

Content timeliness management

  • Event information updates: Remove or update related content immediately after promotions or limited-time offers end

  • Policy synchronization and correction: When company policies (such as return/exchange conditions, terms of service) change, ensure FAQ content is updated accordingly

  • Product information maintenance: New product launches, specification changes, discontinued products, etc. should be reflected promptly in related Q&A

Data-driven optimization

  • Answer quality improvement: Optimize answers for high-frequency questions to provide more detailed and practical information

  • Gap analysis: Identify common questions not covered by the FAQ through customer feedback and customer service records

Quality control mechanisms

  • Content accuracy checks: Regularly verify whether links, contact information, and technical data in the FAQ are correct

  • Tone consistency: Ensure all FAQ content aligns with the brand tone and communication style

  • Multilingual version synchronization: If there are multilingual needs, ensure all language versions remain synchronized and updated

You can check the FAQ hit counts to confirm which question categories are most frequently asked by users and update them regularly.

For an explanation of hit counts, see:Search testing

Such management mechanisms allow the AI assistant to consistently provide accurate, timely, and user-aligned responses, improving the overall customer service experience.

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