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How to set up alerts for AI visibility drops.

Tell me the day a top-50 product falls out of the answer — not at month-end. Regressions discovered weeks late cost the entire recovery window: by the time the quarterly review notices, the slot has been a competitor's for two months.

Quick answer

Configure threshold alerts on citation and agent-readability scores per SKU segment — citation to zero, score drop over 15 points, crawler newly blocked — delivered by email on the refresh that detects the breach. Daily refresh on Growth makes alerts same-day; see pricing.

The slow way: discover it in a meeting

Without alerting, regressions surface socially. Someone mentions soft traffic in the Wednesday trading call; someone else remembers the SKU used to show up in ChatGPT; an analyst gets assigned to "look into it" and comes back next week with a confirmation and no date. Now the team is doing forensics on a drop that happened five weeks ago, with no record of what the answer looked like before.

The manual mitigation is spot-checking on a schedule — rerun the hero prompts every Monday and eyeball the results. That is better than nothing and shares the weakness of every recurring manual task: it decays, it covers only the prompts someone remembers to run, and it cannot watch the second score at all. A robots.txt edit or a theme deploy that silently breaks JSON-LD shows no symptom a prompt check can see until the citations are already gone.


The eCommerce Insights way

  1. Define the segments worth interrupting for. Top-50 revenue SKUs, the hero collection, this quarter's launch cohort. Alerts on everything mean alerts on nothing — the long tail belongs in the weekly digest, not the interrupt channel.
  2. Set thresholds per segment. The defaults that work: citation count to zero on any engine, composite score drop over 15 points, any crawler flipping from allowed to blocked, Product JSON-LD disappearing from a PDP. Tighter on hero SKUs, looser elsewhere. Configuration details in the alerts docs.
  3. Pick the cadence. Alerts fire on the refresh that detects the breach — weekly on Starter, daily on Growth. Daily is what makes "tell me the day it broke" literal, and earns its cost in peak season and launch windows.
  4. Route to the people who act. Per-segment recipients: the merchandiser for hero-SKU citation drops, the SEO lead for schema and crawler breaks, the account owner per client for agencies. An alert nobody owns is a notification, not an alert.
  5. Tune monthly. Mute what nobody acted on; tighten where something was caught late. The target state is a quiet channel that is genuinely alarming when it speaks.

When an alert fires, the follow-on is the forensic job: recover a lost AI citation — date the drop, attribute it, ship the matching fix. The two workflows share the same per-SKU history.

What "good" looks like

Time from regression to detection (Growth, daily refresh)≤1 day
Alerts that led to action last monthmost
Hero-SKU coverage under tight thresholds100%
Regressions first discovered in a meeting0

The honest metric is the last row. Teams running tuned alerts plus the weekly digest stop being surprised in meetings — the surprise arrives by email, dated, with the diagnosis attached, while the recovery window is still open.

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Frequently asked questions

What can I set alerts on?
Threshold breaches on either per-SKU score: citation score (including citation count falling to zero on any engine) and agent-readability score (including a crawler going from allowed to blocked, or Product JSON-LD disappearing). Alerts apply per segment — hero SKUs, new arrivals, a specific collection — so the noise stays proportional to the stakes.
How fast do alerts fire?
On the refresh that detects the breach: within a day on Growth (daily refresh), within the week on Starter (weekly refresh). The practical difference is the recovery window — a schema break caught Tuesday instead of at month-end is the difference between a two-week recovery and a quarter of invisible decline.
Won't I just get alert fatigue?
Only if alerts are configured on everything. The working pattern: tight thresholds on the top-50 revenue SKUs, loose ones on the long tail, and a monthly tuning pass that mutes whatever nobody acted on. Routine movement belongs in the weekly digest, not the alert channel — alerts are for the regressions that cost real money per day.
What's the difference between alerts and the weekly digest?
Cadence and purpose. The digest is the scheduled Monday rhythm: winners, regressions, three fixes. Alerts are the interrupt channel: a threshold breached on a SKU you flagged as critical, delivered the day the refresh catches it. Teams that run both stop discovering problems in meetings.
What should happen when an alert fires?
The alert carries the diagnosis start: which SKU, which score, which engine, and the likely cause where readable (theme deploy, review drop, crawler block). The follow-on workflow is recover a lost AI citation — date the drop, attribute it, ship the matching fix.

The day it breaks. Not the month-end.

Threshold alerts per segment, daily refresh on Growth. 14-day trial.