How can I optimize product descriptions for SEO without making them sound too robotic
and what is the best way to structure product collections to improve SEO?
Topic summary
The discussion addresses two key questions about e-commerce SEO optimization:
Product Description Optimization:
- Prioritize writing for humans over search engines
- Incorporate keywords naturally while focusing on benefits, features, and customer problem-solving
- Use conversational language as if explaining to a friend
- Include specific details shoppers need
- Read descriptions aloud to identify robotic-sounding content that needs revision
Product Collection Structure:
Two methods are recommended for discovering new collection opportunities:
AI-Powered Approach:
- Export products and existing collections to CSV files
- Upload to AI tools (ChatGPT, Gemini, Anthropic)
- Request recommendations for new collections containing 5+ products
SERP Analysis:
- Search relevant product head terms in Google
- Examine filters displayed in search results for collection ideas
The core principle emphasizes balancing SEO requirements with natural, user-focused content that provides genuine value to shoppers.
Write for humans first - include natural keywords but focus on describing benefits, features, and solving customer problems. Think of how you’d explain the product to a friend. Add specific details that shoppers want to know, and let the SEO keywords flow naturally into that conversation. If it sounds robotic when you read it aloud, rewrite it.
How to find new collections to create:
- Get ideas from AI
- Export your products into a CSV. Repeat for your collections
- Upload both CSVs into your AI chat tool of choice (e.g. ChatGPT, Gemini, Anthropic, etc.)
- Prompt to recommend net-new collections that can be created with 5 or more products
- Get ideas from the SERP
- Enter a relevant product head term query into Google
- Look at the filters displayed in the SERP