The rise of AI-powered search experiences - from conversational assistants to generative shopping recommendations - has sparked a wave of speculation about the future of SEO. Some argue brands should stop focusing on traditional search altogether and instead “optimise for AI.” But that framing misses the point.
The reality is simpler: the fundamentals of good SEO matter more than ever. What is changing is how people discover products, not the underlying signals that make a brand trustworthy and visible. Below are the key shifts ecommerce teams need to understand as AI reshapes the discovery phase of online shopping.
The outdated SEO habits still holding ecommerce brands back
One of the biggest mistakes ecommerce brands are making right now is treating AI optimisation as a separate channel.Many teams are chasing “AI visibility” without fixing the fundamentals that make them visible everywhere in the first place.
The better approach is to focus on strong, traditional search optimisation so that retrieval-based AI systems can easily cite your content, while also investing in third-party coverage and authoritative backlinks so language models already recognise your brand before the prompt is even typed. Search engines - and the AI systems built on top of them - are increasingly aligned in what they prioritise: helpful, reliable, people-first content, not pages created to manipulate rankings.
However, many ecommerce sites are still clinging to outdated tactics. A common example is publishing pages simply to fill keyword gaps. Teams create thin category pages, repetitive descriptions, or weak FAQ sections purely for ranking potential. This approach worked better in earlier SEO models. Today, it often does more harm than good. It creates site bloat, weakens overall quality signals, and distracts teams from improving the pages that actually drive revenue. The smarter strategy is to focus on fewer, stronger pages with clear intent. If a page doesn’t improve the customer journey or support meaningful search intent, it probably doesn’t need to exist.
AI is changing how customers discover products
Where AI is having the biggest impact is the discovery phase of the customer journey. Instead of visiting multiple websites to research a product, users are increasingly turning to generative AI tools to summarise their options. A shopper might ask an AI assistant for the best humidifier for a nursery, the most energy-efficient dehumidifier for a basement, or the quietest option for a bedroom. The AI then provides a shortlist of products or brands. From there, users investigate further. This means brands need to be discoverable at the moment a problem is being defined, not just when someone already knows what product they want. The focus should therefore be on clearly communicating:
The problem your product solves
Your unique selling points
The specific use cases your product addresses
Once a user reaches your website, the fundamentals of ecommerce still apply. But AI is increasingly shaping which brands make it into that initial shortlist.
Why “ranking #1” was never the real goal
Even before the rise of AI, focusing solely on ranking number one in search results was always an oversimplification. Search results are personalised based on user behaviour, location, and search history. The top position varies depending on who is searching.What truly matters - now as much as ever - is how authoritative and trustworthy your website appears.
Signals that contribute to this include:
Strong user reviews
A technically sound website
Clear site structure and navigation
Reputable backlinks and media coverage
When a brand is consistently mentioned across trusted sources, it becomes easier for search engines - and AI systems - to recognise it as a credible recommendation. In other words, the real goal is authority and discoverability across the web, not a single ranking position.
What high-quality ecommerce content really means today
Google’s E-E-A-T framework - experience, expertise, authoritativeness, and trustworthiness - remains one of the most important guiding principles for ecommerce content.
High-quality content doesn’t necessarily mean everything must be written manually. Many sites now use large language models to help generate certain types of content. What matters is how that content is reviewed and refined.
AI-generated text should always be sanity-checked, edited, and enhanced with human insight. Content that includes real expertise, product experience, and a recognisable voice tends to perform far better than generic, high-volume copy. Readability and usefulness matter far more than word count. Ultimately, the goal is simple: content should help someone understand, compare, or confidently choose a product.
Rethinking keyword research for conversational search
The shift toward AI-driven search isn’t entirely new. We began seeing this transition with voice search, where users asked full questions instead of typing short keywords. Today, the same pattern is happening through conversational AI. Search queries are becoming:
Longer
More conversational
More intent-driven
Instead of focusing purely on keywords, ecommerce teams need to invest more in user research.
What problems are customers trying to solve?
What questions do they ask before buying?
Where do they hesitate?
Tools like Google Search Console can help identify longer queries and conversational questions that users are already asking. One practical approach is expanding FAQ sections to address high-demand queries directly. Language models frequently pull from web pages that clearly answer the exact question being asked. You may not be quoted word-for-word, but the model is more likely to reference sources that provide clear and comprehensive answers.
Why structured data and product feeds matter more than ever
Product data is becoming increasingly important for both search engines and AI shopping experiences. Many ecommerce sites aren’t necessarily doing this wrong, but they aren’t doing enough. Strengthening structured data, improving product feeds, and implementing richer schema can significantly improve discoverability.
Important elements include:
Detailed product schema
Accurate merchant feeds
Company and local business schema
Clear product attributes and specifications
Simply meeting the minimum requirements for search results is no longer enough. Well-structured product data helps search engines - and AI systems - understand your products in detail, which improves the chances of appearing in shopping results and generative responses.
What actually scales in ecommerce SEO today
For large ecommerce sites, certain strategies consistently scale well. Digital PR and high-quality link building remain some of the most powerful ways to build authority. Being featured in reputable publications or cited in industry discussions strengthens both search visibility and brand recognition. Content that can be widely shared also performs well. Examples include:
Original research
Industry trend analysis
Commentary on emerging topics
Technical foundations are equally important. Scalable SEO depends on having the right infrastructure, including:
Fast page speed
Strong Core Web Vitals
Responsive design
A reliable CMS and technical stack
On the other hand, one strategy that rarely works long term is mass content generation.Some businesses are filling their blogs with AI-generated articles that have little human editing or expertise behind them. While these pages may briefly rank, they often create poor user experiences and erode trust. Users still want to hear from real experts. AI can be useful for tasks like product descriptions or internal drafts, but authoritative long-form content should retain a clear human voice.
Measuring SEO success in an AI-driven landscape
As AI becomes part of the search journey, traditional metrics like raw organic traffic may become less reliable indicators of success. Instead, teams should track a broader set of signals. Average search position remains a useful indicator, especially when impressions increase but clicks decrease due to AI-generated summaries. At the same time, ecommerce teams should start tracking AI-driven referral traffic separately in analytics platforms to understand how these sources perform compared to traditional organic search. Tools that measure search visibility and market share can also provide a clearer picture than traffic alone. Ultimately, the goal of both SEO and AI visibility is the same: capturing demand that might otherwise go to competitors.
What an ecommerce SEO playbook looks like today
If launching a new ecommerce brand today, the core SEO playbook would still begin with strong fundamentals. This includes:
Clear site structure
Effective internal linking
Fast page speed
Strong Core Web Vitals
Excellent user experience
From there, brands should invest in consistent digital PR and link building to build authority across the web.
Product pages and category pages should also contain meaningful content that addresses user intent- - such as FAQs or use-case guidance tailored to specific audiences. These pages help search engines and AI systems connect products with specific customer needs. Structured data should also be implemented thoroughly so product information is easy to interpret.
And finally, brands must remain flexible. The relationship between AI platforms, advertising, and discovery is still evolving. Social platforms, influencers, and emerging AI interfaces may all influence how products are discovered. The key is not to chase every new trend. Instead, focus on building a technically strong, authoritative, and genuinely helpful website. Those signals remain the foundation for visibility - whether the customer finds you through Google, an AI assistant, or the next platform that hasn’t been invented yet.
If you want to make sure your ecommerce brand stays visible across search engines, AI assistants, and the next generation of discovery platforms, it starts with getting the foundations right. Whether you need help strengthening your technical SEO, improving site structure, or building the authority that gets brands cited and recommended, we can help.
Get in touch with our team to discuss how we can support your ecommerce SEO strategy.
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