A 30-minute weekly routine

Watch · 2:31

• 0:00Why weekly
• 0:16What happens without you
• 0:36The 30-minute routine
• 1:45Optional summary email
• 1:56Tips and costs

In shortA 30-minute weekly routine in AI Rank Lab: check your credit balance, read last week's citation checks in Action plan, run your priority prompts and read the Visibility overview, scan Citations and Competitors for changes, check AI-referred visits in the AI bot tracker, glance at Search Console and GA4, then pick one action for the week. Only opted-in citation checks, Autopilot workflows you schedule and Core Web Vitals tracking you switch on happen without you; prompts and everything else run when you click.

Why a routine beats checking every day

AI answers vary from run to run, and search data moves slowly. Looking every day mostly shows you noise and spends credits on it. Once a week, on the same day, with the same prompts, is often enough to see real movement and still react in time.

The routine has one rule: finish with one action. A routine that only reads numbers changes nothing.

What happens without you, and what doesn't

The routine

1. Check your balance (2 minutes)Open Settings → Coins & Credits. A low balance means the weekly citation checks get skipped and the tracking tag pauses at zero, which leaves gaps in your data. Cost: free. Lesson: How credits work.
2. Read last week's citation checks (5 minutes)Open AI search → Brand visibility → Action plan and, for each tracked prompt, read Citation tracking after publish: which engines cited your article and which didn't yet. Cost: free to read; the checks themselves were charged per engine when they ran. Lesson: Action plan and weekly citation tracking.
3. Run your priority prompts and read the overview (8 minutes)In AI search → Brand visibility → Prompt research, run the same five to ten priority prompts on your main engines. Then open AI search → Brand visibility → Visibility overview for mentions, position and sentiment against previous weeks. Date filters work on whole UTC days. Cost: runs per engine per prompt; reading is free. Lessons: Run prompts across AI engines, Read the visibility overview.
4. Scan Citations and Competitors for changes (5 minutes)In Citations, look for new domains being cited and for your own URLs appearing or dropping out. In Competitors, note any brand that's newly recommended. Cost: free to read. Lessons: Find who gets cited, Competitors in AI answers.
5. Check AI-referred visits (4 minutes)Open AI search → Monitoring and reports → AI bot tracker, pick 7d, then use a custom range for the week before to compare: which assistants sent visitors, and to which pages. Cost: reading is free. Lesson: Read the AI bot tracker.
6. Glance at Search Console and GA4 (4 minutes)Open Analytics → Search Console → GSC overview and Analytics → Google Analytics 4 → GA4 overview (Last 7 Days). You're looking for anything unusual, not a full analysis. If something dropped, use the Diagnose a traffic drop playbook. Cost: free.
7. Pick one action for the week (2 minutes)Choose one: generate an Action plan for a prompt you lost, refresh a page that dropped out of citations, pitch a newly cited third-party site, or fix an issue from your last audit. Write it down. Cost: depends on the action; each tool shows its price before it runs. Playbook: Win a prompt you are losing.

Optional: a weekly summary email

If you'd like a summary in your inbox before the routine, build an Autopilot workflow in Content → Write → Autopilot agent, under Automations, set it to weekly and add an email step. Workflows are the only part of AI Rank Lab that runs Autopilot tools on a schedule. Each run is charged, plus model use and the price of each tool the agent calls, so keep the instructions short and the tool list small. Lesson: Workflows and schedules.