# What Seer Interactive's GEO model teaches measurement teams. - working worksheet

Reviewed alongside the Eli guide: https://hireeli.io/resources/seer-interactive-geo-model

## Decision to make

Apply Seer Interactive's segmented measurement and experimentation discipline

Owner: ____________________
Review date: ____________________
Canonical page or destination: ____________________

## Buyer questions

- [ ] What can AEO teams learn from Seer Interactive?
- [ ] Why separate branded and non-brand prompts?
- [ ] How should AI-search experiments be segmented?
- [ ] What makes a follow-up observation comparable?

## Evidence-led work plan

### 1. Segment by buyer task before averaging

Category discovery, best-for, comparisons, implementation and risk questions have different competitive sets and useful sources.

Evidence or artifact: ____________________
Status: [ ] not started  [ ] working  [ ] verified  [ ] blocked

### 2. Protect the non-brand acquisition baseline

Keep the company name out of acquisition questions.

Evidence or artifact: ____________________
Status: [ ] not started  [ ] working  [ ] verified  [ ] blocked

### 3. Select one existing page from converging evidence

Use repeated provider losses, cited-source gaps, Search Console impressions and the current page's commercial role.

Evidence or artifact: ____________________
Status: [ ] not started  [ ] working  [ ] verified  [ ] blocked

### 4. Report movement without a causal shortcut

Repeat the same cohort and disclose provider failures, context changes and sample size.

Evidence or artifact: ____________________
Status: [ ] not started  [ ] working  [ ] verified  [ ] blocked

## Source ledger

- [ ] Seer Interactive: Generative Engine Optimization: https://www.seerinteractive.com/generative-engine-optimization
- [ ] Google Search Central: AI features and your website: https://developers.google.com/search/docs/fundamentals/ai-optimization-guide
- [ ] Google Search Central: people-first content guidance: https://developers.google.com/search/docs/fundamentals/creating-helpful-content
- [ ] Eli: complete 31-agency research register: https://hireeli.io/resources/research-31-seo-agencies-ai-search

## Measurement boundary

Baseline date and exact context: ____________________
7-day observation: ____________________
14-day observation: ____________________
30-day observation: ____________________
Known limitations: ____________________

Keep technical eligibility, citations, recommendations, visits, leads and revenue as separate evidence. This worksheet does not guarantee an external ranking or commercial result.