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Measurement

Analyst — track citation share and report AI search performance.

For

Analysts, growth ops, GEO consultants who need to report results.

You should already know

GEO 101 Step 4 (citation vs mention).

After this path

You can stand up a measurement pipeline and report citation share with a defensible methodology.

1. 01 The GEO metrics framework

   Ten core GEO metrics, with vendors quietly disagreeing on their definitions. Pick KPIs that map to your business goal before picking tools — the metric you choose decides which question gets answered, and the tool's default will become your goal if you don't.

2. 02 Citation tracking pipeline

   Citations are the easier of the two measurement pipelines: the engine literally tells you who got cited, with a link. The hard part is the prompt set, and the manual phase isn't optional — you'll catch your own automation's biases only by running ten samples by hand first.

3. 03 Brand mention tracking

   Mentions don't auto-attribute, so you have to detect them. The detector — alias list, entity disambiguation, dedup unit, sentiment — is the actual product. Without working entity resolution, you'll count the wrong 'Acme Co.' as you.

4. 04 Maturity model & ROI roadmap

   Five maturity stages, each with its own next-action priorities and KPI set. The hardest part is honest staging — most teams report on metrics they've already earned rather than the metrics that would actually move their stage forward.

5. 05 Reporting cadence and attribution

   Pick a cadence that catches algorithm shifts without drowning in noise. Attribution is the harder half: UTM fails through several AI surfaces, referrer headers differ per engine, and server logs are usually the only ground truth you can defend.