Managing Information Requests
When users can't find an answer through the AI assistant, they can submit an information request. These requests surface knowledge gaps and give your team a direct channel to improve the knowledge base.
What are requests
An information request is created when a user clicks the "Request Knowledge" or similar action in the assistant. Each request captures:
- The user's question
- The page URL and domain where they were
- The page context (form fields, page structure) at the time
- A timestamp and the user's identity
Requests act as a feedback loop — they tell you exactly where users need help and what content is missing.
Stats dashboard
At the top of the Requests page, four stat cards summarize the current state:
| Stat | Description |
|---|---|
| Total | All requests ever submitted |
| Pending | Requests that haven't been reviewed yet |
| In Progress | Requests currently being worked on |
| Resolved | Requests that have been answered or addressed |
A high Pending count signals that your team should prioritize request triage. Aim to acknowledge new requests within 24-48 hours.
Filtering
By domain
Select a domain to see requests only from that application. Useful when different team members own different domains.
By URL
Search for requests from a specific page or URL pattern to find clusters of related questions.
By status
Toggle between Pending, In Progress, and Resolved to focus your workflow.
Request detail view
Click on any request to open the detail view. You'll see:
- User details — Who submitted the request
- Question — The exact question asked
- Page context — The URL, domain, and captured page structure
- Status — Current status with history of changes
- Notes — Internal notes added by your team
- AI Suggestion — An AI-generated draft response (if available)
AI Suggestion feature
For each request, Appilot can generate an AI Suggestion — a draft answer based on existing knowledge base content and the page context. This helps you:
- Quickly assess whether existing content partially answers the question
- Use the suggestion as a starting point for a new knowledge article
- Identify whether the gap is a missing article or an article that needs updating
The AI Suggestion is a draft — always review and edit it before publishing as official knowledge content.
Workflow
Changing status
Update a request's status as you work through it:
- Pending → In Progress: When you start reviewing the request
- In Progress → Resolved: When the question has been answered (either by creating content or determining no action is needed)
Creating content from requests
The most valuable action is turning requests into knowledge:
- Review the request and AI Suggestion
- Click Create Knowledge (if available) to open the knowledge editor pre-filled with context
- Write or refine the knowledge article
- Publish the article
- Mark the request as Resolved
This completes the knowledge loop — the next user with the same question will get an answer directly from the assistant.
Next steps
- Knowledge Management — Create and manage knowledge content
- Activity Monitoring — See where users struggle
- Community Knowledge Queue — Review user-contributed knowledge