Artificial Intelligence Is Not Killing SEO. How to Adapt Your E-shop for ChatGPT and Google Gemini?
Did ChatGPT and Google Gemini kill traditional SEO? Panic is spreading across the digital world that traditional e-commerce optimization is dead and being replaced by entirely new AI trends. However, in-depth data analyses show the exact opposite – artificial intelligence simply cannot function without a solid SEO foundation. Discover how these new search engines actually “think,” where they get their data from, and explore 5 key steps that will help your products dominate the era of artificial intelligence as well.
If you actively follow trends in digital marketing and e-commerce, you have probably already come across those alarming headlines. Technological visionaries and various marketing agencies have been heavily proclaiming in recent years that “traditional SEO is dead” and is being replaced by artificial intelligence. Discussion forums are dominated by new, often confusing acronyms such as GEO (Generative Engine Optimization) and AIO (AI Optimization).
Some even claim that you should throw away all your existing e-commerce optimization efforts and start optimizing your content exclusively for Large Language Models (LLMs). Does this mean that the rules of the game have completely changed?
Extensive analysis of the architecture of the latest AI systems, academic research from Princeton, and data from leading global experts show the exact opposite. Artificial intelligence has not erased SEO. On the contrary, it has made it more important than ever before. If you want AI to recommend your products, you first need to understand how it actually “thinks” and where it gets its data from.
Here are 5 key findings every e-commerce store owner should know.
1. The Myth of Independent AI: Why ChatGPT and Gemini Still Need Google and Bing
A fundamental misconception shared by both the general public and some marketers lies in the belief that systems such as ChatGPT, Claude, or Google Gemini independently and in real time “scan” the entire internet. From a computational power and energy consumption perspective, this is absolutely unrealistic.
To answer a question such as the current price of a specific product without making things up (hallucinating), artificial intelligence uses an architecture known as RAG (Retrieval-Augmented Generation). How does it work in practice? When a user asks about the “best electric mountain bike,” the AI model secretly sends this query to a classic, traditional search engine.
- ChatGPT (OpenAI) is connected to the Microsoft Bing index.
- Google Gemini uses the parent Google Search index.
- Claude (Anthropic) primarily draws data from the Brave search engine.
- Perplexity AI combines its own crawler with connections to Bing and Google.
Only from these limited (top 5–10) traditional search results does artificial intelligence assemble its intelligent, grammatically polished answer and add source links.
OpiTip: Traditional search engines act as a bulletproof firewall. If your product category is not properly technically optimized and does not rank in the top positions on Google or Bing thanks to solid SEO practices, the AI API interface simply will not see it and will never mention it in its response. Therefore, check your Google Search Console and Bing Webmaster Tools to ensure your key pages are properly indexed and not blocked for crawlers.

2. Anatomy of an AI Response: The 30% Golden Rule and the Failure of Keywords
How can you convince artificial intelligence to choose your text for citation among the top 10 traditional search results? A large-scale analysis of more than 1.2 million responses from the ChatGPT platform (conducted by analyst Kevin Indig) and a groundbreaking academic study from Princeton University (GEO-bench) revealed the exact mechanics.
First, from an engineering perspective, artificial intelligence is “lazy.” It suffers from a problem called “lost in the middle.” Studies clearly demonstrated that as much as 44.2% of all citations AI includes in its outputs come from the first 30% of the content on the original source webpage.
Second, traditional keyword stuffing has proven to be completely ineffective. AI searches for so-called “grounding signals” — hard facts that reduce its chances of making mistakes.
OpiTip: Apply the inverted pyramid principle (so-called “front-loading”) on your website. Do not hide key benefits, technical specifications, and answers to frequently asked questions at the very bottom of a long product description beneath a flood of marketing “fluff.” Put the strongest facts and most compelling arguments directly into the first and second paragraphs. Instead of vague phrases (“we have many satisfied customers”), write something like this right at the beginning: “This 500W blender with titanium blades crushes ice in 10 seconds. Recommended by 98% of our 500 reviewers on Heureka.”
3. Structured Data: Why AI Loves “Drawers”
While people appreciate beautiful design and engaging images, artificial intelligence “sees” the world through data and code. Indig’s research brought one of the most important insights for the e-commerce sector: websites with properly implemented structured data (Schema Markup) are cited by AI up to 1.7 times more often.
This decades-old and absolutely fundamental pillar of technical SEO is becoming critically important. AI needs to extract facts with a high level of certainty. It does not want to guess whether a number in the text refers to a price, a shoe size, or the weight of a package.
OpiTip: Connect with your developer and make sure your e-commerce store has a fully functional Product Schema implemented in the source code. Ensure that the code clearly and explicitly labels your price (price), currency (priceCurrency), stock availability (availability), and especially aggregated customer ratings (aggregateRating). For AI, this structured data is like a perfectly served menu that it can easily choose from.
4. Protection Against “AI Spam” and the E-E-A-T Principle
With the rise of generative AI, many content creators have become obsessed with automatically generating hundreds of articles every month. This has led to a phenomenon that globally recognized algorithm expert Lily Ray calls “polluting the internet with copies of copies.” Imagine a situation where artificial intelligence writes an article based on another article that was itself previously created by AI. Such content provides no added value to the user.
This is why AI search engines and traditional Google increasingly prioritize the E-E-A-T concept (Experience, Expertise, Authoritativeness, Trustworthiness). Success in the GEO environment does not come from generating massive amounts of content but from adding a unique human perspective.
OpiTip: Add original quotes and opinions from real experts within your company to your product descriptions. If you sell coffee machines, include a visually separated section such as: “Our barista Lukáš tested this model for 30 days and recommends it because of its stable 15-bar pressure.” Unique quotes and proven human experience are signals that no external AI can simply find on your competitors’ websites, which is why AI will gladly start citing you as a trustworthy primary source.
5. A Shift in Mindset: From Clicks (Traffic) to Share of Voice
The rise of AI assistants directly within search engines (such as Google AI Overviews) is changing consumer behavior. Users often receive answers to their questions directly on Google's page without having to visit (click on) any website. Experts (such as Rand Fishkin) refer to this phenomenon as the growth of “zero-click” searches.
This can cause panic because you may notice a slight decline in traditional traffic in your analytics. But does that mean a loss of business? No. Only your success metrics need to change. If a customer sees that Google’s own artificial intelligence recommends your e-commerce store and your brand for their problem, you are building enormous subconscious authority.
OpiTip: Stop measuring the success of informational content (for example, your blog or buying guides) solely based on immediate clicks. Focus on the design of “Frequently Asked Questions” (FAQ sections). Create ultra-short, highly precise definitions and answers to common customer problems in one or two sentences. This increases the chance that an AI assistant will “adopt” your answer into its own conversation. Your new metric is Brand Trust - if AI consistently cites you as a leader in your industry, customers will go directly to you when making purchasing decisions.
The conversation framed as “SEO versus GEO” is a completely false dichotomy. These disciplines are not separate forces but layers of one system.
- Without a top-tier, technically flawless SEO foundation, crawlers will not find you.
- Without clear AIO (AI optimization — such as structured data and facts), models will not understand you.
- Only when you have these two pillars in place can you work on GEO — influencing how AI represents your brand and products in its generative responses.
As analysts and even Google representatives accurately point out: “Good SEO is automatically good GEO, but poor SEO cannot be fixed by any GEO strategy.” The brands that win are those that do not panic over new acronyms, but instead use them as a valuable extension built on a clean, high-quality foundation focused primarily on real customers.

The world of search is changing rapidly, but your main goal remains the same — to sell and grow steadily. At Opinest, we support e-commerce businesses on their journey toward sustainable growth, even in the unpredictable era of artificial intelligence.
We help our clients connect strong technical foundations (SEO) with an exceptional user experience. We analyze your visitors’ behavior and implement solutions that not only respond to emerging trends but, more importantly, significantly increase conversions and build long-term customer loyalty.
Thanks to our comprehensive approach — from in-depth audits and strategic OpiStarter workshops to long-term consulting and execution across marketing and technology — we ensure that every step of the customer journey delivers measurable results.