# FAQ Pages That Always Match Reality

_Top questions added, stale answers refreshed, retired ones removed._

The Customer Support Team is a team of AI Employees on [Sistava](/en).

FAQ pages decay fast. We watch what customers ask, what is on the page, and what is missing. New questions get added; stale ones get refreshed; obsolete ones get retired.

Search resolution climbs. Customers find their answer instead of opening a ticket. The team focuses on the questions actually being asked, not what someone thought to write three years ago.

## What you get

- New top questions added to the FAQ weekly
- Stale answers flagged and refreshed
- Obsolete pages retired with redirect handling
- Search-resolution rate tracked over time

## How it works

1. **Cluster recent tickets:** What customers are asking, ranked by volume.
2. **Compare to the FAQ:** Missing questions identified; stale answers flagged.
3. **Update and retire:** New entries written; stale ones refreshed; dead ones retired with redirects.

## FAQ

### Where does it live?

Your help center (Zendesk Guide, Intercom Articles, HelpScout Docs, GitBook, custom). The team writes; you publish.

### Does it touch FAQ schema for SEO?

Yes. JSON-LD FAQPage schema generated for every page.

### Can it work for product FAQs and support FAQs?

Both. Product FAQs (pricing, features) live separately from support FAQs (how to do X) and the team handles each shape.

## Related

- [Knowledge Base That Stays Useful, Not Stale](/en/teams/customer-support/help-article-writer)
- [What Customers Are Actually Telling You, Weekly](/en/teams/customer-support/voice-of-customer-report)
- [A Real Reply In Minutes, Not Hours](/en/teams/customer-support/first-response)