How to boost product visibility and conversions by providing AI with the right context

The world of ecommerce is rapidly changing: traditional product pages no longer meet the demands of how shoppers make decisions today. Most buyers now use artificial intelligence (AI) to filter, analyze, and recommend products. If your product pages lack the right context, these tools may simply skip over them.

This article explores how AI is transforming product discovery, why context matters more than keywords, and what to include on your product pages to stay visible and appealing to potential customers.

From Salesperson to AI Assistant

Over the past 20 years, the buying process has dramatically shifted — from traditional stores and catalogs to Amazon and countless online shops. In the past, a salesperson would personally ask what you were looking for, how you planned to use the product, and your preferences. Today, AI in the form of chatbots or large language models (LLM) handles this.

It’s important to think of AI as your new sales rep — one that not only knows the product but understands who it’s for and why it matters. Your product pages need to reflect this level of understanding.

Who Reads Your Product Descriptions?

With the growing adoption of AI applications, many platforms help users select products:

• Chatbots ask qualifying questions.
• AI recommends products based on purchase history and behavior.
• AI analyzes reviews to highlight key benefits or issues.
• Prices dynamically adjust based on demand and competitors.

Users increasingly rely on AI-filtered information instead of reading product descriptions directly.

Why Context Matters More Than Keywords

Imagine selling Toyota cars. To recommend the right car, you need more than just the model: Is the buyer married? What do they use the car for? What are their driving conditions?

AI needs context to accurately process user queries and deliver personalized recommendations. The more information about the target audience, use cases, and needs you add to descriptions, the better AI can present your product.

How to Provide AI with the Right Context

Most websites still use simple, often manufacturer-copied descriptions — which don’t provide enough understanding. Better approaches include:

• Using advanced schema markup to describe target audiences and use cases.
• Including in descriptions who the product is ideal for and why.
• Engaging sales and support teams to gather real customer questions and concerns.
• Leveraging automation and AI tools to analyze reviews, social media discussions, and forums to uncover common needs and scenarios.

Example of an Updated Product Description

Instead of a dry description:
“Waterproof hiking boots. Gore-Tex material. Sizes 37-42. Colors: black, brown, beige.”

Use:
“Waterproof hiking boots designed for serious outdoor enthusiasts tackling challenging trails in any weather. Gore-Tex construction keeps feet dry during stream crossings and sudden rains, while the tread provides confidence on slippery rocks and muddy paths. Perfect for multi-day mountain hikes and extended trips, even in temperatures as low as -20°C.”

This version answers “Who is it for?” and “What problems does it solve?” rather than just “What is it?”

Scaling with Large Catalogs

If you have thousands of products, optimizing each description manually is difficult. Solutions include:

• Automatically gathering and analyzing feedback from Reddit, Quora, Amazon, Facebook groups using scraping and AI tools.
• Storing insights in databases like Airtable.
• Regularly updating data and automating workflows.

Key Tips to Get Started

To make your products appear in AI responses and attract buyers:

• Start with your top 20 bestsellers.
• Identify the main problems they solve.
• Define who they are for.
• Specify ideal conditions and use cases.

Even a simple phrase like “Ideal for…” or “Recommended when…” can greatly improve visibility and conversions.

Conclusion

Today’s shoppers increasingly rely on AI for product discovery. Your task is to provide AI with all the necessary information so it can better understand your product and recommend it to those who need it. Context — not just keywords — is the key to success in an AI-driven ecommerce world.

This article available in Ukrainian.