The European Commission has officially designated ChatGPT a "Very Large Online Search Engine" under its Digital Services Act, placing it in the same legal category as Google and Bing. This regulatory stamp confirms what brands have been observing for months: a growing share of product discovery now happens inside AI-generated answers rather than on traditional search results pages. With ChatGPT surpassing one billion weekly active users globally, the shift is no longer theoretical. Perplexity, Gemini, Amazon Rufus, and other AI shopping agents are now competing alongside traditional search engines to shape how consumers find products.

Why Does This Matter for Brands and Marketers?

The regulatory classification signals a fundamental change in how search works. Unlike traditional search engines where brands compete for a spot on a results page, AI platforms synthesize information from multiple sources and return a single recommendation or short list before a shopper visits any brand website. Each AI agent, however, cites a different mix of sources. Research from Azoma found that ChatGPT cites earned media 41% of the time and retailers 37% of the time, while Gemini reverses that balance, citing retailers 41% and earned media 37%. Amazon Sparky distributes citations across earned media (36%), brand websites (30%), and retailers (27%). This fragmentation means a brand that ranks well in traditional search is not automatically visible in AI answers.

The implication is stark: there is no single AI SEO or generative engine optimization (GEO) strategy that works across all agents. Brands need to understand what each AI platform trusts in their category and earn visibility within those specific citation patterns. This represents a new discipline entirely, separate from traditional search engine optimization.

What Should Brands Look for in AI SEO and GEO Tools?

• Prompt-Level Visibility Tracking: Tools should monitor how a brand appears across multiple AI agents in response to different phrasings of the same question, since each prompt variation can produce different results and citation patterns.
• Citation-Source Analysis: Platforms must show which sources each AI agent cites in a brand's category, revealing which types of content and data sources each agent prioritizes and trusts.
• Competitive Benchmarking: Brands need to see not just where they appear, but where competitors appear instead and how their share of voice compares across different AI platforms over time.
• Content and Product-Data Optimization Workflows: Tools should provide actionable workflows to optimize brand information, content, and product data so AI platforms can discover and understand offerings more effectively.
• Action-Oriented Capabilities: The best platforms combine tracking with the ability to act on findings rather than simply reporting data back to brands.

Platforms that cover multiple AI agents, including ChatGPT, Gemini, AI Overviews, Perplexity, Amazon Rufus, Alexa for Shopping, and Walmart Sparky, provide the broadest visibility into where product discovery is actually happening.

How to Optimize Your Brand for AI Search Platforms

• Map Your Category's Citation Patterns: Run your category's most common search prompts across all major AI shopping agents at scale to understand which sources each agent trusts and cites most frequently in your industry.
• Track Visibility Prompt by Prompt: Monitor where your brand appears, where competitors appear instead, and how your visibility changes over time for each variation of customer questions, since a single spot-check reveals very little about overall performance.
• Develop Agent-Specific Strategies: Create distinct optimization approaches for each AI platform rather than assuming a one-size-fits-all SEO strategy will work, since ChatGPT, Gemini, Perplexity, and others cite fundamentally different source mixes.
• Optimize Product Data and Content for Discovery: Ensure brand information, product descriptions, and content are structured and written in ways that help AI agents understand and recommend your offerings within their synthesis process.
• Monitor Competitive Share of Voice: Track not just your own visibility but how your presence compares to competitors across different AI agents, revealing which platforms are most important for your category.

The challenge is that traditional SEO targets rankings on a search results page, where every brand competes for a click from a list. AI platforms work fundamentally differently. They return a synthesized recommendation or short list assembled from cited sources before the shopper has visited a single brand or retailer site. With the EU now classifying ChatGPT alongside Google as a search engine, the distinction is no longer theoretical.

What Does This Mean for the Future of Product Discovery?

The regulatory classification accelerates a trend that was already reshaping e-commerce and retail. As AI shopping agents become the primary discovery channel for more consumers, brands that optimize only for traditional search will miss a growing share of product discovery opportunities. The fact that each AI agent cites different sources means brands cannot simply rely on their existing search engine optimization efforts to maintain visibility.

The EU's decision to classify ChatGPT as a search engine puts a regulatory framework around what was previously an informal shift. It signals that AI platforms are now infrastructure for commerce and discovery, not just novelty tools. Brands that understand the citation patterns of each major AI agent and optimize their data and content accordingly will capture disproportionate visibility as product discovery continues to migrate from traditional search to AI-powered answers.