Amazon Optimisation
A Simple 5-Step Guide to Optimising Product Detail Pages for Semantic Search
AI-powered shopping is rewriting the rules of product discovery. Whether it’s Amazon’s COSMO, ChatGPT’s shopping recommendations, or other large language models (LLMs), the way your product detail page (PDP) is read, understood, and ranked is now based on meaning, not just keywords. The goal: Make your listing so clear, relevant, and compelling that AI knows exactly when to recommend you.
11 August 2025
8 min read
Why This Matters
Semantic search isn’t looking for keyword density. It’s looking for context - the who, what, why, and how of your product.
When an LLM “reads” your listing, it acts like a top salesperson:
- Understanding the problem
- Matching your product to the right audience
- Explaining why you’re the best choice
The 5-Step PDP Optimisation Process
Step 1. Gather Your Copy
Take the exact text from your PDP - title, bullets, and description. Avoid editing it yet.
Step 2. Run the 5-Point Prompt
Use an LLM like ChatGPT and paste in:
Rate this listing for:
#1 Emotional resonance – Does it connect with the customer’s feelings, desires, or fears?
#2 Problem/solution clarity – Is the problem obvious, and is your product the clear answer?
#3 Audience targeting – Is it crystal clear who this product is for?
#4 Benefit hierarchy – Are the most important benefits front and centre?
#5 Sensory & descriptive detail – Can the reader imagine using, feeling, or experiencing the product?
Step 3 – Review the Scores
Look for the lowest-scoring areas. This tells you where your listing is weakest for semantic search.
Step 4 – Rewrite with Intent
Make targeted edits:
- Strengthen emotional hooks
- Clarify the problem/solution narrative
- Sharpen audience cues
- Put your strongest benefits first
- Add rich, sensory detail to make the experience tangible
Step 5 – Retest and Iterate
Run the prompt again after editing. Repeat until your listing scores consistently high across all five areas.
Why the Extra Prompt Helps
That fifth element — sensory & descriptive detail — matters because semantic search engines often look for language that helps the shopper visualise ownership. It boosts both emotional connection and relevance in “best for” recommendations.
Beyond Amazon
This method works for:
- Amazon A+ Content
- Brand Stores
- Shopify product pages
- Social ad and video scripts
Consistent, semantically rich copy across your brand presence makes it easier for AI to connect the dots and recommend you everywhere.
The takeaway:
Optimising for semantic search isn’t about stuffing more keywords, it’s about making your listing feel human-readable and machine-readable. With this 5-step process, you can quickly identify weaknesses, make focused improvements, and give LLMs every reason to choose your product over the competition.
At LMO7, we do this at scale for challenger brands, so when AI is deciding what to recommend, you’re always in the shortlist.
Semantic search isn’t looking for keyword density. It’s looking for context - the who, what, why, and how of your product.
When an LLM “reads” your listing, it acts like a top salesperson:
- Understanding the problem
- Matching your product to the right audience
- Explaining why you’re the best choice
The 5-Step PDP Optimisation Process
Step 1. Gather Your Copy
Take the exact text from your PDP - title, bullets, and description. Avoid editing it yet.
Step 2. Run the 5-Point Prompt
Use an LLM like ChatGPT and paste in:
Rate this listing for:
#1 Emotional resonance – Does it connect with the customer’s feelings, desires, or fears?
#2 Problem/solution clarity – Is the problem obvious, and is your product the clear answer?
#3 Audience targeting – Is it crystal clear who this product is for?
#4 Benefit hierarchy – Are the most important benefits front and centre?
#5 Sensory & descriptive detail – Can the reader imagine using, feeling, or experiencing the product?
Step 3 – Review the Scores
Look for the lowest-scoring areas. This tells you where your listing is weakest for semantic search.
Step 4 – Rewrite with Intent
Make targeted edits:
- Strengthen emotional hooks
- Clarify the problem/solution narrative
- Sharpen audience cues
- Put your strongest benefits first
- Add rich, sensory detail to make the experience tangible
Step 5 – Retest and Iterate
Run the prompt again after editing. Repeat until your listing scores consistently high across all five areas.
Why the Extra Prompt Helps
That fifth element — sensory & descriptive detail — matters because semantic search engines often look for language that helps the shopper visualise ownership. It boosts both emotional connection and relevance in “best for” recommendations.
Beyond Amazon
This method works for:
- Amazon A+ Content
- Brand Stores
- Shopify product pages
- Social ad and video scripts
Consistent, semantically rich copy across your brand presence makes it easier for AI to connect the dots and recommend you everywhere.
The takeaway:
Optimising for semantic search isn’t about stuffing more keywords, it’s about making your listing feel human-readable and machine-readable. With this 5-step process, you can quickly identify weaknesses, make focused improvements, and give LLMs every reason to choose your product over the competition.
At LMO7, we do this at scale for challenger brands, so when AI is deciding what to recommend, you’re always in the shortlist.