AEO ScannerWeekly vs monthly: how often should you track AI visibility?
How frequently you should re-measure AEO visibility depends on what stage you're in. Here's the right cadence for each phase.
There's a Goldilocks problem with AEO tracking. Too often and you're reading noise; too rarely and you miss compounding shifts. The right cadence depends on what stage you're in.
Phase 1 — Baseline (week 1)
Single scan. Establish where you are. No need to track anything yet — you need to ship fixes first.
Phase 2 — Active fixing (weeks 2–8)
Weekly scans. You're publishing comparison pages, submitting to directories, and chasing listicle inclusion. You want fast feedback on what's working. Weekly is the right cadence — daily is too noisy because LLM retrieval results don't refresh that fast.
Look for the leading indicator: queries flipping from "not mentioned" to "mentioned." That happens before visibility percent moves meaningfully.
Phase 3 — Maintenance (after you hit your target)
Monthly scans. Once you've stabilized at your target visibility (typically 20–35% for B2B SaaS, higher for consumer), weekly tracking is overkill. Monthly is enough to catch competitor moves and category shifts.
Phase 4 — Crisis or major change
When something big changes — new ChatGPT model, new competitor launch, your brand mentioned in major coverage — daily scans for the first week. You want to see the delta.
The alert rule
Regardless of cadence, set a score-change alert at ±10%. If visibility moves more than 10% between scans (either direction), something is happening that warrants investigation. Most months it won't move. When it does, it's worth knowing fast.
Practical setup
In AEO Scanner, the workflow is: track brand → set frequency (weekly or monthly) → enable alerts. You get the scan automatically and an email if anything moves. No daily manual checking.