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.

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
• What Customers Are Actually Telling You, Weekly
• A Real Reply In Minutes, Not Hours