# What iPullRank's relevance-engineering model teaches AEO teams. - working worksheet

Reviewed alongside the Eli guide: https://hireeli.io/resources/ipullrank-relevance-engineering-model

## Decision to make

Apply iPullRank's relevance-engineering model to retrieval and content quality

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

## Buyer questions

- [ ] What does relevance engineering mean for AEO?
- [ ] How do technical SEO and content meaning interact?
- [ ] Which page should be audited first?
- [ ] What evidence proves retrieval works?

## Evidence-led work plan

### 1. Begin with the crawler response

Fetch the canonical URL and verify status, robots, canonical, language, headings and meaningful server-visible text.

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

### 2. Trace entity and topic relationships

Confirm the page clearly identifies the company, category, audience, product or service and the problem being solved.

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

### 3. Engineer sections around the task

Lead with the direct answer, then explain criteria, tradeoffs, implementation and next questions.

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

### 4. Close the loop through internal links

Use descriptive anchors from hubs, product pages and related resources.

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

## Source ledger

- [ ] iPullRank: relevance engineering services: https://ipullrank.com/services/relevance-engineering
- [ ] 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.