1 Search Is Fundamentally Changing
For decades, the path to an online purchase was clear: open Google, type in a search term, compare results, visit a store. This path is now fundamentally changing.
More and more users are instead asking AI assistants: "What's the best treadmill under €800?" or "Find me a sustainable backpack for day hikes." The AI responds directly – with specific product recommendations, prices, and store links.
According to G2 (April 2026), 51% of B2B buyers now start their research in AI chatbots more often than in traditional search. Google search itself has changed too: AI Overviews appear on roughly half of all queries (studies vary).
2 What Exactly Is AI Visibility?
AI visibility (also called LLM visibility) describes how well an online store and its products are found, understood, and recommended by AI systems. It's the logical evolution of SEO – optimized for a world where Google is no longer the only one providing answers.
Specifically, it's about three core questions:
- Does the AI find my store? – Can the AI system access your content?
- Does the AI understand my products? – Is the data structured and machine-readable?
- Does the AI recommend my products? – Does the system rate your store as trustworthy?
3 Which AI Systems Are Relevant for E-Commerce?
The AI landscape in e-commerce is growing fast. These systems matter most right now:
ChatGPT (OpenAI)
Integrated shopping features, product research, and direct purchase recommendations.
Google Gemini
Direct shopping integration in Google Search and Shopping tab with AI recommendations.
Perplexity
Own shopping hub with product recommendations, price comparisons, and direct checkout.
Claude (Anthropic)
Detailed product research and comparisons with source citations.
4 Why Traditional SEO Alone Is No Longer Enough
SEO and AI visibility have commonalities – good content, structured data, fast loading times. But AI systems evaluate content differently than Google:
Google evaluates:
- → Backlink profile
- → Keyword density and placement
- → Domain authority
- → Core Web Vitals
AI systems evaluate:
- → Structured data (Schema.org)
- → Content completeness
- → Source trustworthiness
- → Reachability for AI crawlers (robots.txt, CDN, firewall)
5 The Key Measures for AI Visibility
These five areas are crucial to making your store visible to AI systems:
Schema.org Markup
Product, Offer, Review, FAQ – structured data that AI systems understand.
Product Data and Feeds
Complete product data in the store and in your feeds – for rich results, merchant feeds, and AI agents.
Content Quality
Complete product descriptions, clear category structures, informative FAQ sections.
Technical Accessibility
Open robots.txt for AI crawlers, semantic HTML, clear heading hierarchy.
E-E-A-T Signals
Demonstrate expertise, experience, authority, and trustworthiness.
6 Why Now Is the Right Time
AI systems are continuously building their knowledge base. Stores that optimize their data and content now will be indexed as reliable sources from the start. Those who wait will later have to compete against established AI recommendations.
The economics behind it: AI Overviews reduce organic click-through rates by up to around 60%, depending on the query type (recent studies by Ahrefs and Seer; branded searches can even benefit) – traditional search traffic is measurably declining. At the same time, visitors from AI search are, according to Semrush, about 4.4 times more valuable than average organic visitors. Traffic is getting scarcer but more targeted – and AI visibility decides who gets it.
Additionally, Google's Universal Commerce Protocol (UCP) is already live in the US, enabling AI agents to shop autonomously. Stores that optimize their structured data and AI accessibility now will be ready for it.
Few retailers have optimized for AI visibility yet. Good time to start.