For years, eCommerce SEO was largely about getting product and category pages to rank number one in traditional search results. While that still matters, search is changing.
Google’s AI Overviews and other AI-powered search experiences are increasingly answering questions directly within search results. Rather than simply displaying a list of links, AI systems summarise information and recommend sources they consider helpful and trustworthy.
The good news? Most online retailers don’t need a completely new strategy. They just need better content. If your website helps answer customer questions better than competitors, AI systems are far more likely to reference your content when generating responses.
Stop Thinking Like a Seller and Start Thinking Like a Customer
One of the biggest mistakes eCommerce brands make is creating content solely to sell products. AI systems are designed to answer questions.
That means your content should focus on solving problems, explaining concepts and helping customers make decisions. For example, if you sell office chairs, don’t just create category pages filled with products.
Consider content such as:
- How to choose an ergonomic office chair
- Best office chairs for back pain
- Best value office chairs
- Gaming chair vs desk chair: what’s the difference?
- How long should an office chair last?
- What kind of office chair do I need?
These are the types of questions customers are already asking AI tools and search engines. When your website provides clear, comprehensive answers it becomes a useful source for AI-generated responses.
Build Blogs Around Real Customer Questions
Traditional blogging often focuses on natural looking keyword “stuffing” to help with ranking factor and while this still plays an important part, it’s often more valuable to focus on answering genuine customer questions.
Good blog topics include:
- Buying guides
- Product comparisons
- Troubleshooting advice
- Industry explainers
- Common misconceptions
- “Best for” recommendations
Instead of writing a generic article titled “Our Office Chair Collection”, write something like: “Which Office Chair Is Best for Lower Back Pain?” This gives AI systems a clear question and answer structure to work with.
A useful rule is to ask: “If a customer opened ChatGPT and asked a question about my products, have I already answered it on my website?”
Keywords still matter, but topics matter more. Rather than creating twenty separate articles targeting slight keyword variations, focus on creating the most useful resource available on a subject.
A comprehensive guide often has a better chance of being referenced by AI than several thin articles covering nearly identical topics.
Expand Product Descriptions Beyond Features
Many eCommerce stores still use supplier-provided product descriptions.
Unfortunately, these descriptions are often:
- Short
- Generic
- Duplicated across multiple websites
- Lacking context
AI systems generally favour content that adds value.
Instead of:
“Height adjustable desk with steel frame.”
Try:
“This height adjustable desk is ideal for home workers, remote teams and anyone looking to alternate between sitting and standing throughout the day.”
- Explain situations where the product performs best.
- Customers trust honest information. If a product suits smaller spaces but isn’t ideal for large workstations, say so. Balanced content often appears more trustworthy than pure sales copy.
Frequently Asked Questions
Product-level FAQs remain valuable when they answer genuine questions. The key is providing useful information rather than creating dozens of keyword-focused questions.
Examples:
- Will this fit under a standard desk?
- Is assembly required?
- How long does delivery take?
- Is it suitable for commercial use?
A few years ago, many websites added enormous FAQ sections to every page. Some contained dozens of low-quality questions written primarily for SEO purposes. Google has since reduced the visibility and impact of FAQ-rich results in many situations.
That doesn’t mean FAQs are bad. It means low-value FAQs are bad.
Good FAQs:
- Answer genuine customer questions
- Add information not already covered
- Improve user experience
Poor FAQs:
- Repeat existing content
- Exist purely to target keywords
- Include obvious questions nobody actually asks
Five genuinely useful FAQs are often better than fifty filler questions.
Make Category Pages More Helpful
Many category pages contain little more than a title and product grid. This is definitely a missed opportunity. Category pages can become valuable information hubs.
Consider adding:
- What the products are
- Who they’re designed for
- Key differences between options
- Buying guidance
Help users understand how to choose between products.
For example:
“When choosing a running shoe, consider cushioning, terrain, foot shape and running distance.”
- Answer common customer questions with concise answers within the page itself.
- Include links to supporting content that helps customers learn more, this creates a stronger topical ecosystem that AI systems can understand.
Reviews Matter More Than Ever
AI tools often look for evidence that real people have used and evaluated products. Encouraging detailed customer reviews can help provide this context. The most useful reviews include:
- Use cases
- Pros and cons
- Performance over time
- Comparisons with alternatives
A review saying:
“Five stars. Great.”
Provides little value.
A review saying:
“I’ve used this standing desk for six months while working from home. Assembly took around an hour and the motor remains quiet even after daily use.”
Provides far richer information.
Create Comparison Content
Comparison content aligns naturally with how people use AI.
Questions such as:
- Which is better?
- What’s the difference?
- Which should I choose?
Are extremely common.
Comparison articles often perform well because they directly support decision-making.
Structure Content Clearly
AI systems find it easier to understand content that follows logical structure. So ensure you have clear headings, use descriptive subheadings when necessary, use bullet points, tables and keep to short paragraphs.
Instead of hiding information inside large blocks of text, organise content so both humans and machines can quickly identify key points.
Demonstrate Real Expertise
AI systems increasingly look for signals of experience and expertise.
Ways to demonstrate this include:
- Original photography
- First-hand product testing
- Expert commentary
- Industry knowledge
- Case studies
- Customer success stories
The more original insight you provide, the harder it becomes for competitors to replicate and the more likely AI systems are to view your content as valuable.
It’s clear AI search is rewarding the same qualities that customers value. Think helpful answers, genuine expertise, clear explanations, honest reviews, useful comparisons and well-structured information.
The stores that succeed won’t necessarily be those publishing the most content but the ones creating content that genuinely helps customers make better decisions. If your website consistently answers the questions customers ask before, during and after a purchase, you’re not just improving your SEO; you’re making your content more useful for the AI-powered search experiences that are increasingly shaping how people discover products online.
