# Comparison pages for AI search: help buyers choose with checkable facts. - working worksheet

Reviewed alongside the Eli guide: https://hireeli.io/resources/comparison-pages-for-ai-search

## Decision to make

Create a useful product comparison page for AI search

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

## Buyer questions

- [ ] Can a vendor publish a credible comparison?
- [ ] Should competitor pricing be copied?
- [ ] Does a comparison table need schema?

## Evidence-led work plan

### 1. Which comparison criteria matter?

Choose criteria from the buyer's decision: monitoring coverage, evidence depth, execution, integrations, permissions, pricing and operating effort.

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

### 2. How should the company's own product be treated?

Disclose the relationship clearly, cite the competitor's official pages and acknowledge situations where the alternative is stronger.

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

### 3. What structure is easiest to use?

Lead with the decision in plain language, include a compact comparison table, then explain each major tradeoff.

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

### 4. Use a fair comparison evidence ledger

Before writing, list every decision criterion, the source that supports it, the date checked and whether it is a vendor claim or independent evidence.

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

## Source ledger

- [ ] Google: helpful, reliable, people-first content: https://developers.google.com/search/docs/fundamentals/creating-helpful-content
- [ ] Google: structured data guidelines: https://developers.google.com/search/docs/appearance/structured-data/sd-policies
- [ ] Google: spam policies for web search: https://developers.google.com/search/docs/essentials/spam-policies

## 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.