Why this matters
Old FAQ answers can become accidental promises
A stale FAQ can quietly claim a service, price, turnaround time, response window, product capability, refund rule, or service area that is no longer true. In classic search that is confusing; in AI search it can be worse because answer engines may summarize the old language without showing the whole context.
The fix is not to rewrite every answer every week. The fix is a small calendar, a stale-answer log, and a rule that AI only drafts from approved facts.
Copy/paste artifact
Monthly FAQ refresh calendar
FAQ page URL: [page]
Owner/reviewer: [name]
Last full review: [date]
Next review date: [date]
Monthly high-intent FAQ review
[ ] Pricing, estimate, deposit, payment, refund, warranty, and guarantee answers still match current policy.
[ ] Service availability, hours, emergency wording, booking rules, and response windows are still accurate.
[ ] Service area, location, licensing, insurance, credential, and team facts are still approved.
[ ] Contact, booking, support, escalation, and privacy instructions still point to the right channel.
[ ] Top customer questions from calls/forms/chats/reviews are represented accurately.
Quarterly content review
[ ] Merge duplicate answers.
[ ] Remove answers for retired offers or unavailable services.
[ ] Add internal links to current service, booking, case-study, pricing, support, policy, or resource pages.
[ ] Add one source note for each answer that makes a factual claim.
[ ] Confirm schema/FAQ markup matches the visible answer text.
Stale-answer log
Question: [FAQ question]
Current answer risk: [outdated price / old service / vague policy / unsupported claim / missing proof]
Approved source of truth: [URL, policy doc, owner note, CRM note]
Action: [keep / edit / remove / escalate]
Human reviewer: [name]
Review deadline: [date]AI drafting prompt
Refresh answers from approved notes only
You are helping a small business refresh website FAQ answers for buyer clarity and AI search accuracy.
Use only the approved notes below. Do not invent pricing, availability, service areas, response times, legal rights, refund promises, warranties, guarantees, credentials, insurance, team names, or customer results.
For each FAQ, return:
1. keep/edit/remove recommendation,
2. revised answer in plain language,
3. source fact used,
4. missing fact or owner-review flag,
5. internal link suggestion,
6. schema/FAQ markup caution if visible text and markup may drift.
Approved notes:
[paste source-of-truth notes and stale-answer log]Implementation
Run a 30-minute FAQ refresh sprint
- Export or copy the current FAQ questions into the calendar.
- Mark any answer tied to pricing, policy, scheduling, locations, credentials, warranties, or support as high-risk.
- Collect source-of-truth notes before asking AI to draft anything.
- Refresh the highest-risk five answers first; remove unsupported promises instead of polishing them.
- Set the next review date and keep the stale-answer log for the next pass.
Human-review rule: if an FAQ answer could change what a buyer expects, a responsible owner or manager reviews it before publishing.
Next step
Connect FAQs to proof-safe AI search pages
Pair this calendar with the FAQ page template, source citation log, and support policy checklist.
For the full website audit, schema, proof, and internal-linking workflow, see SEO After AI. If your FAQ answers create support or lead-response work, pair them with Local Lead Rescue System.