E-Commerce SEO in the AI Era: What’s Changing and What Still Works
For years, Google has been the undisputed giant of search. But things are shifting. AI-powered tools like ChatGPT are gaining traction as new sources of information—and even leads. One business recently landed a customer straight from ChatGPT, which referenced them directly in response to a query.
Does that mean it’s time to abandon Google? Not so fast. Google still processes 400 times more searches than ChatGPT. But search is no longer a one-stop shop—it’s fragmenting. Users are turning to Google, AI chatbots, forums, and social media to get answers. If your SEO strategy is still stuck in the Google-only mindset, it’s time for a reset.
SEO is evolving, and staying visible means understanding how search works across multiple platforms. In this episode, Gert Mellak and business coach James Schramko break down how to future-proof your visibility in this shifting landscape.
AI is growing fast, but Google isn’t going anywhere—at least not yet. If you run an e-commerce store, optimizing for both is critical.
According to Gert, Google gets 400 times the searches that ChatGPT does. That’s huge. While AI-powered search tools like Perplexity are gaining traction, they haven’t replaced Google as the go-to search engine. And Google isn’t standing still—it’s rolling out its own AI-driven features.
So, what does this mean for e-commerce SEO?
The Shift: SEO Is No Longer Just About Google
For years, optimizing product listings, titles, descriptions, and content meant focusing on Google’s search engine algorithms. But now, AI search tools are changing how customers find products.
This isn’t a “set it and forget it” shift. AI-driven search changes how content is created, structured, and distributed. If you want to stay ahead:
Prioritize valuable content. No matter where your content appears—Google’s Gemini, ChatGPT and Perplexity—it should be informative, well-structured, and genuinely useful.
Optimize for multiple platforms. AI search tools pull from various sources. If your content is valuable, it has a better chance of being picked up.
Stay adaptable. AI search is evolving fast, and Google is responding. Keep an eye on updates like Google’s AI Mode, which mimics Perplexity’s approach.
SEO isn’t dead—it’s just expanding. Winning in e-commerce means optimizing for both traditional search engines and emerging AI-driven discovery tools.
Beyond Keywords and Into Context
SEO has been evolving rapidly. Over the past few years, it’s become far more technical and increasingly automated. Yet many are still using outdated strategies from 10–15 years ago. Meanwhile, companies that stay ahead of the game focus on entities, embeddings, and vectors—concepts that go way beyond simple keyword stuffing.
The real game-changer? Semantic SEO.
Search engines and AI models no longer just count keyword repetitions; they focus on meaning and context. Think of the word “Amazon.” It could refer to the river or the e-commerce giant. Machines need a way to differentiate between the two. That’s where vectors and embeddings come in, translating words into numerical representations that help search engines determine context.
When SEO professionals analyze content at this level, they can identify why a page doesn’t rank—it’s often because "the math is wrong." The way the content is structured and written doesn’t align with how search engines interpret meaning. This is why businesses need to adopt modern SEO, focusing on whether search engines can truly understand their products and audience.
Implementing Modern SEO
Gone are the days when ranking was all about keyword density, placement, and backlinks. SEO has evolved into a deeper, more complex system involving semantic relationships, entity recognition, and user intent. The big question now is: Can automation fully replicate human-level understanding?
AI-generated content can be technically optimized, but it often lacks the nuance and persuasion needed to convert readers into customers. That’s why a blended approach works best—machines help structure the content for SEO, but human editors ensure it actually resonates with people.
Knowing how your audience searches, whether on Google or through AI-powered tools, is crucial to appearing in search results. Search behavior is evolving—users are shifting between traditional search engines like Google and AI-driven tools like GPT or Perplexity. The difference often depends on the audience's niche and tech-savviness. For example, those in marketing or tech are more likely to use AI tools, while others may still rely heavily on Google.
As search behavior changes, it’s important to understand your audience’s preferences. Are they using AI or sticking to Google for their queries? Analyzing this data is key.
SEO strategies need to evolve with these shifts, ensuring content is optimized for both traditional and AI-powered search engines. With AI tools still growing, there’s an opportunity to capitalize on optimizing content for these platforms before others catch on. Always use performance data to decide whether focusing on AI optimization is worth it for your market.
AI's Role in Search and E-Commerce Decision-Making
When comparing Google and AI search tools like ChatGPT, there's a notable difference in how users approach their searches.
Google delivers quick, transactional results, with users often finding products to purchase right away. In contrast, AI tools like ChatGPT offer a more interactive experience, helping users refine choices and access reviews over time. While AI search may not start with clear purchase intent, it guides users toward informed decisions, unlike traditional search engines focused on immediate results.
As AI and e-commerce continue to converge, product recommendations could increasingly be influenced by partnerships and algorithmic biases. If major players like Bezos or Amazon are involved, this could change how products are recommended, shifting the landscape in favor of those with the right backing.
Ultimately, Google seems to be trying to position itself as a dominant player in product searches. However, AI is steadily refining how people approach e-commerce decisions.
Reverse Engineering AI for E-Commerce SEO
To optimize for AI-driven search platforms like Perplexity, e-commerce brands must align their content with how users search and interact. AI models break down queries into multiple searches, so structuring content like a conversation—anticipating user needs, skill levels, and intent—boosts visibility.
Some things to consider:
Match AI’s Process: AI queries evolve like conversations. Content should mirror this by addressing user experience levels, preferences, and constraints.
Leverage AI Insights for SEO: Studying how AI retrieves answers helps brands optimize pages for higher rankings.
Beyond Product Specs: High-ranking product pages do more than list features; they include FAQs, tutorials, and real-user insights to add value.
Forum & User-Generated Content Matters: AI pulls from niche forums and platforms like Reddit. Engaging with communities and leveraging real customer experiences boosts authenticity.
In an AI-dominated digital space, real human insights, firsthand product experience, and interactive content are key to standing out.
5 High-Impact Strategies to Future-Proof Your E-Commerce SEO
In 2025, as AI transforms e-commerce, standing out is crucial. Gert shares five key strategies to optimize your store for both traditional search and AI-driven discovery:
Build a Strong Brand – Make your brand more recognizable and trusted across platforms. Aim for direct searches rather than relying on accidental discovery.
Optimize Product Detail Pages – Enhance pages with testimonials, user-generated content, and clear product descriptions to match AI-driven search behavior.
Leverage Google Merchant Center – Keep your product feed updated to appear in Google’s organic product listings, not just for ads.
Maximize Social Media Presence – Engage audiences on multiple platforms, share authentic content, and build trust to boost visibility and conversions.
Prepare for Voice Search – Shift your content strategy to focus on answering spoken queries. Optimize for conversational language, not just keywords.
By implementing these tactics, e-commerce businesses can stay ahead in the evolving digital landscape.
Final Thoughts
As AI continues to reshape the e-commerce landscape, businesses must evolve their SEO strategies beyond traditional Google optimization. With search behavior fragmenting across multiple platforms, adaptability is the key to staying visible.
Leveraging AI-driven insights, optimizing content for conversational search, and building a strong brand presence are crucial steps to future-proofing your store. Platforms like PlatformLeverage.com can help businesses navigate these changes by providing cutting-edge strategies tailored for the AI era.
By embracing these shifts, e-commerce brands can position themselves for long-term success in a complex digital world.
