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Measurement Intermediate
Step 5 of 5

Reporting cadence and attribution

Reporting is where measurement meets politics — too noisy and you’ll mistake variance for trend; too slow and you’ll miss an algorithm change for a month. The attribution layer is the harder half: UTM tagging fails through several AI surfaces, referrer headers behave differently per engine, and server logs are usually the only ground truth you can defend in a stakeholder room.

What to read for this step

  1. Full GEO Audit
    Playbooks
  2. AI Search Attribution
    Wiki · coming soon

After this step, you should be able to answer

  • When does a weekly cut beat a monthly cut — and when is the quarterly audit (an entirely different methodology) the right tool?
  • How do you attribute AI-search referrals to business outcomes when UTM tracking silently breaks?
  • Which attribution channel (UTM, referrer, server log) gives you the most defensible number — and at what cadence does each one make sense?