# How to build a customer review program that supports AI-assisted buying. - working worksheet

Reviewed alongside the Eli guide: https://hireeli.io/resources/customer-review-program-ai-search

## Decision to make

Invite honest reviews at appropriate customer moments

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

## Buyer questions

- [ ] How to build a customer review program that supports AI-assisted buying?
- [ ] What should a B2B startup do first to invite honest reviews at appropriate customer moments?
- [ ] Which evidence shows that invite honest reviews at appropriate customer moments is working?
- [ ] What is the most common mistake when teams try to invite honest reviews at appropriate customer moments?

## Evidence-led work plan

### 1. Why this decision appears: a review drive can pressure only happy customers

A review drive can pressure only happy customers, script sentiment or create an unrepresentative burst.

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

### 2. Invite a broad eligible customer set after a real experience, use neutral language and make the review platform and disclosure rules clear

Invite a broad eligible customer set after a real experience, use neutral language and make the review platform and disclosure rules clear.

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

### 3. Define an objective eligibility event, then ask with neutral wording

Define an objective eligibility event.

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

### 4. Measure measure invitation coverage

Measure invitation coverage, response rate, recency, factual themes and qualified buyer use.

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

### 5. Do not cross this boundary: never create reviews

Never create reviews, require positive sentiment, conceal incentives or suppress eligible unhappy customers.

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

## Source ledger

- [ ] Google Search Central: optimizing for generative AI features: 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
- [ ] Reddit Help: spam policy: https://support.reddithelp.com/hc/en-us/articles/360043504051-Spam
- [ ] OpenAI: publishers and developers FAQ: https://help.openai.com/en/articles/12627856-publishers-and-developers-faq

## 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.