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Organic e-commerce traffic in decline? How AI Overviews, AI search, and Zero-Click are changing SEO in 2026. What really drives visibility now.
The e-commerce market is undergoing significant change: Although companies follow the latest e-commerce trends, optimize their websites, and refine their SEO efforts, click numbers are declining. Organic traffic is decreasing, websites are being visited less frequently, and new customer inquiries are becoming harder to generate. The reason lies in a modern development that AI search engines are taking advantage of: AI Overviews and other AI-powered search functions increasingly provide users with answers directly in Google, Bing, or AI assistants without requiring them to visit additional websites. As a result, more and more zero-click searches are occurring, where a company’s website receives no traffic even when it is well optimized for relevant e-commerce SEO terms.
The key question is therefore shifting away from “How well does my website rank?” toward “Is my website being included in AI-generated answers?” AI SEO is therefore becoming a necessary extension of traditional SEO practices.
What Has Changed: AI Search Engines and the Zero-Click Shift
The response logic of modern search systems is changing. AI-powered search engines and answer engines no longer respond primarily with a list of links but with a directly formulated answer derived from multiple sources. This development is accompanied by several changes in user behavior, which we explain in this article.
What Are AI Overviews?
AI Overviews are AI-generated responses to a search query that summarize content from multiple websites, prepare it according to the user’s search intent, and frequently appear at the top of search results. They are similar to the outputs generated by common Large Language Models.
What Is Zero-Click Search?
Closely connected to this functionality is zero-click search. Zero-click searches reflect user behavior in which a user does not click on any websites after submitting a search query. For e-commerce websites, this behavior results in lower traffic. The summarized AI-generated result appears at the top of the search page and already provides all the necessary answers.
How This Behavior Is Changing Visibility in E-Commerce
When searching online and shopping, users initially look for concise, precise, and reliable information. In e-commerce, this shift is becoming visible in two key areas:
- Information Research: Users want accurate information about a topic. AI-generated summaries already provide meaningful answers, making further research unnecessary and eliminating the need to click on an additional website. By 2025, search results featuring AI summaries were already generating fewer clicks: In Google searches with AI summaries, users clicked on a traditional search result in only 8% of searches; without AI summaries, the figure was 15%. Links within AI summaries themselves were clicked in only 1% of cases. [VERIFY: https://www.pewresearch.org/short-reads/2025/07/22/google-users-are-less-likely-to-click-on-links-when-an-ai-summary-appears-in-the-results/].
- Shopping and Vendor Comparison: So-called Agentic Commerce is becoming increasingly important. Users ask AI tools for products, vendors, and purchase recommendations. They then use the AI-generated response as a central component of their buying decision, making the manual vendor comparison that was once necessary largely obsolete. A study by Adobe found that 38% of surveyed U.S. consumers have used generative AI for online shopping, while 73% of AI users describe AI as their primary source of information. [VERIFY: https://business.adobe.com/blog/generative-ai-powered-shopping-rises-with-traffic-to-retail-sites].
Both AI-based search and the use of AI-generated summaries are therefore creating a need for a new form of visibility.
What Is Answer Engine Optimization?
One strategy for keeping pace with this development is optimizing an online shop for AI search engines. Answer Engine Optimization extends the traditional SEO approach with LLM SEO: websites must be adapted for search systems that do not simply display links but generate direct answers.
The focus is on preparing web content in a way that allows AI systems such as ChatGPT, Perplexity, or Google AI Overviews to directly understand, cite, and present it as a reliable answer to user questions. Website content should answer specific user questions clearly and in a trustworthy manner, for example through FAQs, buying guides, definitions, or use-case scenarios.
Why Buying Backlinks No Longer Works
Traditional search engine optimization remains an important building block for maintaining online visibility for an e-commerce store. Strong rankings improve discoverability, strengthen brand presence, and provide search engines with valuable relevance signals that can be displayed in search results. At the same time, however, these rankings are losing their traditional exclusivity. In the context of artificial intelligence and generative search, it has become essential to invest in AI SEO as well. This development has given rise to the concept of GEO (Generative Engine Optimization), which extends SEO for generative answer systems. As AI Overviews and other AI systems continue to grow in importance, the question increasingly becomes how e-commerce stores can appear in AI-generated answers.
How Link Volume and Visibility Are Becoming Decoupled in E-Commerce SEO
In traditional SEO, visibility is closely linked to link volume. Search engines follow the links on a website and rank particularly authentic and trustworthy results at the top of search results. In classic SEO, both internal links—links within a website—and backlinks—links from external websites to the target website—play an important role. Companies that built and maintained a large number of well-placed links generally had a strong chance of being easily discovered by users.
The Reframing: Authority Is No Longer Based on Link Volume
Today, however, something different is happening: even optimizing an online shop through highly consistent linking no longer automatically results in greater visibility. Anyone frustrated by this decoupling should take a closer look at the technical foundations of AI systems. Large Language Models with web access operate differently from traditional search algorithms. They consider not only the content of individual websites but also unlinked mentions, contextual signals, and the authority of a brand. For e-commerce marketing, this means that not only the content on a company’s own website and external links are relevant, but also mentions in trade media, industry directories, comparison lists, or professional associations. The more frequently and credibly a company appears in such sources, the more likely it is to be included in AI-powered answers. The focus is increasingly shifting toward citations and entity recognition rather than links alone.
The New Currency: Brand Citations & Entity Authority
Authority is therefore expressed through the accumulation of digital evidence across many different sources. However, not every mention and not every piece of evidence carries the same value. Brand Citations on trustworthy industry portals, association websites, or in trade media send significantly stronger authority signals than mentions in user-moderated blogs or other lesser-known websites. Modern AI-powered answer systems are trained to reference not only relevant content but also highly trustworthy sources. This is exactly where Brand Citations and Entity Authority take on a new role.
What Are Brand Citations?
Brand Citations are mentions of a company by name in sources outside its own website. These mentions may appear in specialist articles, press coverage, association websites, or industry directories. A Brand Citation signals to an AI system that a company is recognized within its industry beyond its own website. Frequent brand mentions in relevant contexts can help increase a company’s visibility.
Which Sources Do LLMs Use?
To answer user queries, LLMs primarily rely on publicly available web sources such as websites, Wikipedia/Wikidata, industry and news portals, forums, review platforms, social media, online stores, as well as structured data and APIs. For e-commerce stores, the goal is therefore to establish a presence in exactly these places in order to be mentioned in LLM-based searches. We will present concrete examples of this strategy later in the article.
What Is the Importance of Unlinked Mentions?
In the context of Brand Citations, whether a mention contains a link and where that link points is initially of limited importance for discoverability by AI systems. Linked mentions remain valuable for organic discoverability. However, unlinked mentions in e-commerce marketing—that is, simply mentioning a company in a trustworthy environment—have become equally important. When a company is mentioned frequently and consistently, AI systems develop a coherent picture of the company and its expertise. Modern LLM crawlers and search systems can take these signals into account just as they do traditional links.
What Does Entity Authority Mean?
Entity Authority describes the strength and clarity with which a company is perceived as an independent entity in the digital world. It is built through consistent company information—so-called entity data—a clear focus on a well-defined subject area, and recurring mentions in reliable sources. Modern search engines and LLMs are increasingly working to assemble information about companies in the form of structured entity data. If a company has strong Entity Authority online, it becomes easier for search engines to quickly recognize relationships and assess the credibility of the business.
A useful concept in this context is the Knowledge Graph. Today, search engines no longer recognize only individual terms but also the relationships between companies, projects, locations, and areas of expertise. We will explain later in the article which practical actions can be derived from this concept.
In addition, the E-E-A-T principle can be applied to the e-commerce industry. This quality framework created by Google allows website content to be evaluated based on Experience, Expertise, Authoritativeness, and, above all, Trustworthiness.
AI SEO in E-Commerce: Why Omnichannel Is Now an SEO Requirement
All of these developments make one thing clear: online shopping has become more interconnected and diverse. More than ever, customers are distributed across different channels. They no longer conduct research solely through traditional website hopping or comparison portals. Instead, the customer journey has become a journey across many touchpoints: Google, AI assistants such as ChatGPT Search or Perplexity Research, local profiles, trade media, and, not least, personal recommendations. Any e-commerce store that wants to maintain strong visibility must meet this omnichannel expectation.
A major lever lies in achieving strong and broadly distributed marketplace visibility. The growing number of available marketplaces reaches more regions, industries, and customers. Companies that position their products effectively on marketplaces not only increase their immediate reach but also strengthen the entity signals that are so important for AI citation probability.
New developments in social media also provide an effective entry point for AI SEO and new forms of visibility, as Social Commerce continues to gain importance. Social Commerce refers to the direct buying and selling of products and services through social media platforms. Companies that strategically engage social networks through their own channels and partnerships become more attractive to both customers and AI systems.
Review platforms also represent an especially interesting opportunity from two different perspectives. Companies whose products are tested and listed by trustworthy review platforms gain social trust while simultaneously signaling a high level of reliability to AI systems.
Finally, user comments also contribute to reach and visibility. Whether they appear in reviews directly on marketplaces, in independent review platforms, or as comments in forums, every mention creates an opportunity to reach new audiences.
The more consistently a company appears across all of these touchpoints, the stronger its entity becomes and the higher the likelihood that it will be cited and referenced in AI-generated summaries.
The New Growth Framework (Action Plan)
A future-ready growth framework for e-commerce companies combines traditional SEO with AEO, cross-platform trust, and systematic brand mentions. The following measures will help you prioritize your marketing efforts in a practical way:
1. Provide Structured Product Data
Make product information available in a format that can be easily processed by search engines. Product data should not only be included in product descriptions but also implemented in a standardized format—typically using the Product Schema (schema.org/Product)—within the source code. This allows search engines and shopping systems to better recognize information such as product names, images, brands, SKU/GTIN identifiers, pricing, availability, ratings, shipping information, and return policies.
2. Create AEO Content
Develop AEO content that can be cited by AI systems. Integrate information on your website that answers user questions clearly and in a trustworthy manner. This content can be effectively incorporated into your online store through FAQs, use-case scenarios, comparisons, or explanatory content.
3. Build Brand Citations
Gradually establish high-quality Brand Citations. Start with channels you can influence directly, such as marketplaces, user forums, or comparison portals. Then work toward appearing in more exclusive sources, such as press releases or industry publications.
4. Maintain Feed Hygiene
Keep your content and data consistently up to date. Across your website feeds, shopping feeds, marketplaces, and sales channels, structured data should always remain complete, current, and free of contradictions. Regularly review your product information throughout every stage of the customer journey to ensure that search engines and AI systems can accurately understand and display your products at all times.
5. Ensure Brand Entity Consistency
Maintain a consistently strong brand entity. Your brand must be clearly and unmistakably recognizable across all relevant online sources so that search engines understand it as the same entity. From your website and industry profiles to press releases, the same company names, logos, data, and product names should be used consistently everywhere, as these structured signals are used by search engines to classify content.
What This Means for DACH Mid-Market E-Commerce Stores
For DACH mid-market online stores, this shift creates significant opportunities. New market players now have a chance to compete with established providers and benefit from changing user behavior. In German-speaking markets, many niches, product categories, and specialist sources are still less saturated in AI-generated responses than in English-speaking markets. This creates an opportunity for DACH mid-market stores to establish themselves early as clearly recognizable entities.
Trust signals are particularly important in German-speaking markets and remain a key part of the purchasing decision. Online stores that successfully build a strong and trustworthy brand presence on German-language platforms have a strong chance of appearing prominently in modern search systems.
Companies should therefore pay even greater attention to providing consistent information, maintaining a complete legal notice (Impressum), achieving strong customer review visibility, and prominently displaying trust signals such as Trusted Shops certifications. Local entity consistency helps AI systems accurately associate a store with its area of specialization.
Professional associations can also make an important contribution to a company’s online presence. Memberships and mentions in respected organizations such as the German E-Commerce and Distance Selling Association (Bundesverband E-Commerce und Versandhandel) can generate additional authority signals and help a company stand out within its industry. Awards and recognitions from such organizations create additional trust. Any company that wants to remain visible in the DACH market must treat local relevance and authenticity, professional credibility, and digital consistency as equally important factors.
Conclusion
The Zero-Click Crisis facing many e-commerce companies should be viewed as a catalyst for digital transformation. Searches conducted through AI systems and AI-generated summaries in search engines have contributed to a world in which users need to click on websites less frequently to obtain the information they are looking for.
SEO, link optimization, and traditional search rankings remain important, but this strategy alone is no longer sufficient because it does not reach the places where LLMs gather their information. Visibility is increasingly created through brand mentions, professional authority, and a consistent omnichannel presence. Through strategically placed Brand Citations, structured data, and AI-friendly content, companies can attract attention through entirely new pathways.
Linvelo supports e-commerce stores with visibility assessments, analyses, and practical action plans on the path toward AI readiness. We help you become visible in AI systems and guide your business into the era of artificial intelligence.
FAQ
What Does Answer Engine Optimization Mean?
Answer Engine Optimization means publishing content on a website in such a way that AI search systems can use it as a clear and trustworthy answer to user questions.
What Does LLM SEO Mean for E-Commerce Stores?
LLM SEO extends traditional search engine optimization through content, entity data, and external mentions that help Large Language Models classify an online store reliably and accurately.
What Role Does an AI Search Engine Play in Online Shopping?
Unlike a traditional search engine, an AI search engine does not display a list of links. Instead, it formulates direct answers to a user’s question by combining information from multiple sources. As a result, it can influence which stores or products a user chooses to explore in greater detail.
Why Is Traditional E-Commerce SEO No Longer Enough?
E-commerce SEO remains important, but AI Overviews, AI assistants, and zero-click searches mean that visibility is no longer created solely through rankings. Visibility increasingly depends on Brand Citations, Entity Authority, and omnichannel presence.
How Does AI SEO Help with Online Store Optimization?
AI SEO helps optimize an online store by structuring product data, AEO content, shopping feeds, reviews, and external mentions in a way that makes the store easier for both people and AI systems to understand.
