# Report AI-search performance without fake attribution. - working worksheet

Reviewed alongside the Eli guide: https://hireeli.io/resources/report-ai-search-without-fake-attribution

## Decision to make

Create a board-ready AI-search report with honest evidence tiers

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

## Buyer questions

- [ ] Which AI-search metrics belong in a board report?
- [ ] Can AI referrals be connected to revenue?
- [ ] How should unknown attribution be shown?

## Evidence-led work plan

### 1. Use an evidence ladder

Move from discovery and eligibility through retrieval, citation, recommendation, visit, action and commercial outcome.

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

### 2. Show missing data

Unavailable providers, unconnected analytics and unknown referrers should remain visible.

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

### 3. Compare cohorts carefully

Use stable questions, URLs and date windows.

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

### 4. End with decisions

Report what will be maintained, refreshed, consolidated, distributed or stopped.

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

### 5. Use confidence labels for every commercial claim

Label direct observations as verified, relationships as correlated and unsupported explanations as hypotheses.

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

## Source ledger

- [ ] Google Search Central: AI features and your website: https://developers.google.com/search/docs/appearance/ai-features
- [ ] OpenAI: publishers and developers FAQ: https://help.openai.com/en/articles/12627856-publishers-and-developers-faq
- [ ] Eli AI Visibility Index methodology: https://hireeli.io/ai-visibility-index/methodology

## 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.