Reviews That Actually Get You Found — and Chosen (Module 4)

Module 4 of 5 · Get Found in AI Local Search

Reviews aren't just social proof anymore — they're a searchable content layer that Google, ChatGPT, and Perplexity all read to decide whether to recommend your business. This 34-page guide gives you a complete system: how to collect reviews consistently, what to say so customers write useful detailed responses, how to respond in a way that doubles as SEO content, and how to handle the negatives without making things worse.

By the end of this guide you will:

• ✓ Understand the 5 review signals Google measures (volume, velocity, rating, response rate, keyword content)
• ✓ Have a 3-step review collection system: verbal ask → WhatsApp → QR code
• ✓ Know exactly how to respond to reviews so they index as SEO content
• ✓ Handle negative reviews with a word-for-word response structure
• ✓ Add AggregateRating schema so AI tools can cite your review score directly

What's inside (34 pages):

• → Why reviews are now a data feed, not just social proof
• → The 5 review signals that affect your Local Pack ranking
• → How ChatGPT and Perplexity extract service keywords from review text
• → The 3-step review collection system (40–60% conversion rate)
• → 8 response templates for different job types
• → The 6 most common review mistakes — and how to avoid them
• → AggregateRating schema walkthrough
• → Full quick-wins checklist (tick off and go)

📄 Instant PDF download · 34 pages · Beginner-friendly · Written by Chris at AI Search School