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AEO Canon · the reference for answer-engine optimization
AEOCanon

Lesson 6 of 6

Measuring AEO and Adapting

Engines change monthly and citations are volatile, so AEO is a measure-and-adapt discipline. This lesson covers what to track and how to stay chosen.

Learning objectives

  • ▸Choose the right AEO metrics (citation share, AI referrals).
  • ▸Set up per-engine measurement on a fixed prompt set.
  • ▸Treat tactics as hypotheses and adapt as engines change.

The lesson

Read the full lesson →Adaptability — Can Your System Bend as Engines Change?Adaptability is the eighth and final pillar of the AEO Canon — the engines change monthly, citations are wildly volatile, and they overlap little across engines, so the only permanent advantage is a system that measures and adapts.3 min read

Key takeaways

  • ▸Measure citation share and AI referral traffic, not just rankings.
  • ▸Track per engine — they overlap on only a fraction of citations.
  • ▸Citations are volatile (40–60% of sources change monthly), so adapt continuously.

Knowledge check

Knowledge check

0 / 3

  1. 1. What's the headline AEO metric?

  2. 2. Why measure each engine separately?

  3. 3. How should you treat AEO tactics over time?