{"id":18300,"date":"2026-10-22T10:57:43","date_gmt":"2026-10-22T10:57:43","guid":{"rendered":"https:\/\/e-dialog.group\/blog\/agentic-commerce-why-your-feed-is-the-new-landing-page\/"},"modified":"2026-10-27T08:50:42","modified_gmt":"2026-10-27T08:50:42","slug":"agentic-commerce-why-your-feed-is-the-new-landing-page","status":"publish","type":"post","link":"https:\/\/e-dialog.group\/en\/blog\/agentic-commerce-why-your-feed-is-the-new-landing-page\/","title":{"rendered":"Agentic Commerce: Why Your Feed Is the New Landing Page"},"content":{"rendered":"
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Imagine your customer says to her AI assistant: “Find me a waterproof running jacket in size 38, under 150 euros, with delivery by Friday.” The agent compares a dozen stores in seconds, selects a product, and buys it—without ever opening your website.<\/p>\n

That’s exactly what Agentic Commerce is all about. In this article, you’ll learn how far this trend has progressed in the DACH region, which four factors determine your Agentic Commerce readiness, and the three steps you can take to get started next week.<\/p>\n

What is Agentic Commerce, and why does it already affect you today?<\/h2>\n

“Agentic Commerce refers to the automated purchasing process in which autonomous AI agents, acting on behalf of users, compare and select products based on real-time data and complete the transaction directly.”<\/em><\/p>\n

Agentic Commerce<\/strong> means that an AI agent handles parts of the shopping process for users. It understands the request, compares products, recommends a selection, and, in the best-case scenario, even completes the purchase.
\nThe technical foundation for this already exists. In January 2026, Google, in collaboration with Shopify, introduced the Universal Commerce Protocol (UCP)<\/a>. This open standard governs how agents communicate with merchants—from product search through the shopping cart to checkout. The first applications are running in Google AI Mode and in Gemini.<\/p>\n

At the same time, Google introduced new conversational attributes<\/strong> in Merchant Center in May 2026. These are additional feed fields designed to help agents understand a product as well as skilled salespeople do.<\/p>\n

You’re wondering why this matters right now? Because search behavior is already shifting in measurable ways.<\/p>\n <\/div>\n<\/div>

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What do the figures show about traffic trends in the DACH region?<\/h2>\n

Organic traffic in the DACH region fell by 20.3% year-over-year in the second quarter of 2026. This is shown by the update to the e-dialog traffic study<\/a>, which analyzed 74 websites and 1.2 billion sessions.<\/p>\n

By way of comparison: In February 2024, Gartner predicted<\/a> that search engine volume would drop by 25% by the end of 2026. By 2028, Gartner even expects a 50% decline in organic traffic. In April 2026, the situation still looked manageable. Our first traffic study<\/a>, covering data through the end of 2025, showed only a −4.2% decline in organic traffic. Since mid-2025, however, the decline has accelerated significantly:<\/p>\n <\/div>\n<\/div>

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Q3 2025:<\/strong> Organic Search −2.2%, Total Traffic −4.3%<\/p>\n

Q4 2025:<\/strong> Organic Search −8.5%, Total Traffic −12.3%<\/p>\n

Q1 2026:<\/strong> Organic Search −14.6%, Total Traffic −13.3%<\/p>\n

Q2 2026:<\/strong> Organic Search −20.3%, Total Traffic −18.2%<\/p>\n

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Figure 1: Change in organic search and total traffic compared to the same quarter of the previous year (Source: e-dialog Traffic Study, H1 2026 Update)<\/small><\/p>\n <\/div>\n<\/div>

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At the same time, AI referrals are the only channel experiencing strong growth. In the first half of 2026, this traffic tripled. However, its share of total traffic remains below 1%. What organic search loses, AI traffic does not regain.<\/p>\n

Retail<\/strong> was hardest hit in the first study: -12% organic traffic compared to +18% paid search. Product searches, in particular, are shifting to AI-powered chats. And that’s precisely where Agentic Commerce comes in.<\/p>\n

How does Agentic Commerce change the customer journey?<\/h2>\n

In agentic commerce, the feed drives the purchase decision, not the landing page. The difference becomes clear when you compare both journeys side by side (Figure 2):<\/p>\n

Classic commerce:<\/strong> Search → Search results page → Landing page → Decision → Checkout<\/p>\n

Agentic Commerce:<\/strong> Intent → Agent compares via data → Decision → Checkout<\/p>\n <\/div>\n<\/div>

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\n \"Customer \"Customer <\/div>\n<\/div>
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Figure 2: Customer Journey in Traditional Commerce and Agent-Centric Commerce (Source: e-dialog)<\/small><\/p>\n

The agentic journey omits two steps that have traditionally consumed a significant portion of the marketing budget: the search results page and the landing page. The agent doesn’t see a hero image or read a brand story. They only see your feed, your attributes, and your signals—such as price, availability, and delivery time.<\/p>\n

This leads to a key principle: The feed is the new landing page<\/strong>. If it isn’t optimized, your products will become invisible—regardless of how beautifully your product page is designed.<\/p>\n

The good news: Feed optimization isn’t a project for the future. It’s already paying off today in Google Shopping and Performance Max<\/a>.<\/p>\n <\/div>\n<\/div>

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What are the four dimensions that determine your Agentic Commerce Readiness?<\/h2>\n

Agentic Commerce Readiness is not purely a technical issue. It is shaped by four dimensions that encompass operational, strategic, technical, and organizational considerations (Figure 3).<\/p>\n <\/div>\n<\/div>

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\n \"Die \"Die <\/div>\n<\/div>
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Figure 3: The Four Dimensions of Agentic Commerce Readiness (Source: e-dialog)<\/small><\/p>\n <\/div>\n<\/div>

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Data Readiness: Is your product data written for machines?<\/h3>\n

Until now, feeds have primarily been optimized for shopping ads: title, price, image, GTIN. An agent needs more context. It has to answer questions like “Does this fit my device?” or “Is this also available in navy?”<\/p>\n

To address this, Google introduced Conversational Attributes in Merchant Center in May 2026, for example:<\/p>\n <\/div>\n<\/div>\n

Conversational Attributes<\/strong><\/th>Function for the AI agent<\/strong><\/th>Practical example for the feed<\/strong><\/th><\/tr><\/thead>
question_and_answer<\/td>Answers product FAQs directly on the product page for specific questions.<\/td>Question:<\/strong> “Is the jacket machine-washable?”
Answer:<\/strong> “Yes, at 30 degrees on the gentle cycle.”<\/td><\/tr>
related_product<\/td>Defines semantic relationships such as accessories, replacement parts, or alternatives.<\/td>Store the ID for a compatible waterproofing spray or the corresponding running pants.<\/td><\/tr>
document_link<\/td>Links to additional PDFs, such as user manuals or data sheets.<\/td>URL to the manufacturer’s certificate confirming the guaranteed 10,000 mm water column.<\/td><\/tr>
item_group_title<\/td>Specifies the umbrella name for the entire product family.<\/td>“ProRunner Weather Protection Series”<\/td><\/tr>
variant_option<\/td>Identifies the dimensions that distinguish individual product variants from one another.<\/td>“Color: Navy,” “Size: 38”<\/td><\/tr>
popularity_rank<\/td>Sends the store’s internal bestseller rankings to the system.<\/td>“1” (for the best-selling item in the jackets category)<\/td><\/tr><\/tbody><\/table><\/figure>\n
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These fields are optional and, according to Dataïads<\/a>, are already available in all countries. <\/p>\n <\/div>\n<\/div>

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Infrastructure Readiness: Can your checkout process do what the agent requires?<\/h2>\n

When an agent initiates the purchase, your technology must accept the transaction without a human click. Your stack needs four capabilities for this:<\/p>\n <\/div>\n<\/div>

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