The AI Reviews Playbook — Summaries, Replies, Smart Prompts
Every shopper reads four reviews on a PDP. AI turns 400 of them into the four that matter — and replies to the awkward ones overnight.
- 32 pages
- 14 min read
- For: cmo, ecommerce leader, growth
Playbook · 32p400 raw reviews
- Lightweight feel
- Runs cool
- Sizing true
- 4 lines · grounded
The AI Reviews Playbook — Summaries, Replies, Smart Prompts
What you’ll learn
- How to write an AI-summary prompt that survives brand-tone QA
- A reply-suggestion template per review-star band (1★ through 5★)
- Smart-prompt UX: nudging fence-sitters into completion without prompting fraud
- PDP placement rules — where the AI rollup belongs and where it kills CR
- Hallucination guardrails: the three checks before any AI text ships
Chapter previews
- Chapter 01
Why aggregated reviews beat individual ones
Eye-tracking studies + Idukki A/B data on PDP scroll depth. The 4-of-400 problem.
- Chapter 02
Prompt anatomy for AI summaries
System prompt + brand voice + fact-checking layer. A version controlled prompt file you can hand to engineering.
- Chapter 03
Reply suggestions, star-band by star-band
1★ requires empathy. 5★ requires brevity. 3★ is the trap. Templates for each.
- Chapter 04
Smart prompts without fraud risk
Adaptive form prompts that surface what customers actually noticed about the product — without leading them to fake words.
- Chapter 05
Placement: above-the-fold or below?
Idukki A/B data on summary placement across 31 stores. Above-the-fold wins on mobile only when it's under 60 chars.
- Chapter 06
Guardrails
Source-grounding, brand-blocklist, max claim length, no medical-or-financial-advice rules.
“Three days from "let's look at AI summaries" to "they're live on 6,000 PDPs". The fact-check layer kept legal happy.”
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- How to write an AI-summary prompt that survives brand-tone QA
- A reply-suggestion template per review-star band (1★ through 5★)
- Smart-prompt UX: nudging fence-sitters into completion without prompting fraud
