The Importance of Product Data in the Age of GEO

Consumer search habits are undergoing a radical transformation. 

The traditional online search model, where users had to “hunt” for information by scanning dozens of blue links and manually comparing features, is giving way to a new “reception-based” model. Today, 50% of consumers and 90% of B2B buyers intentionally use artificial intelligence to evaluate brands and build their purchasing shortlists.

In this new reality, where more than 80% of searches now end without a single click to an external website, online visibility has fundamentally changed. It is no longer about ranking highly on a search results page, but about becoming the definitive answer recommended by AI. 

This is where GEO (Generative Engine Optimization) comes into play.

Why Product Data Is the Foundation of a GEO Strategy

GEO is the practice of structuring and optimizing your digital content so that AI models can understand, trust, and cite your brand in their responses. To achieve this, AI relies heavily on accurate, complete, enriched, and structured product data.

Unlike traditional search engines, which mainly match keywords, AI analyzes your product as a true entity within a knowledge graph. It looks not only for clear technical specifications (machine-readable through Schema.org), but also for context: what use case does the product address? Is it supported by recent customer reviews available online?

If your product data is not formatted for AI or key information is missing, AI faces what is known as a “data void.” 

The outcome is straightforward: the virtual agent will ignore your product or, even worse, recommend a competitor instead.

Akeneo Product Cloud: The Backbone of Your AI Visibility

To meet the GEO challenge, your Product Information Management (PIM) strategy must evolve. In the age of AI, your product data is your brand strategy.

A solution like Akeneo Product Cloud addresses these challenges on multiple fronts: it feeds AI systems with clear, structured attributes, provides the context needed to match search intent and use cases, and protects brand integrity by ensuring complete consistency of information across all sales channels, preventing AI from generating inaccurate responses.

Focus on PX Insights: The Secret Weapon for Dominating AI Search

To go even further and ensure discoverability in the era of generative AI, Akeneo developed PX Insights, a feature specifically designed to help your products stand out on AI platforms such as ChatGPT, Gemini, and Perplexity, while also strengthening traditional SEO performance.

Here are the key benefits of PX Insights for your GEO strategy:

AI Readiness Audit

PX Insights performs an in-depth technical audit to ensure that the “digital DNA” of your products is perfectly structured for AI crawlers and bots. The tool identifies missing data, structural errors, and ambiguous information that may limit your visibility.

AI Discovery Analysis

This feature provides valuable business insights for eCommerce teams. It allows you to see exactly how AI agents interpret and rank your products compared to competitors based on real consumer intent. This helps transform a product from being “invisible” into becoming a “top recommendation.”

A Virtuous Omnichannel Cycle

PX Insights does not operate in isolation. It connects three essential sources: AI discoverability, Google Shopping performance, and customer ratings and reviews. By analyzing customer feedback, you can generate conversational product content that directly answers user queries. Every optimization therefore benefits all your channels simultaneously.

Immediately Actionable Recommendations

Unlike SEO tools focused solely on keywords, PX Insights concentrates on your data model. The insights generated integrate directly into Akeneo, allowing you to correct an attribute or enrich product content without switching tools, significantly improving responsiveness and execution speed.

Conclusion

Today’s market rewards companies that actively shape the way AI understands them.

With Akeneo and PX Insights, you are no longer reacting to algorithm changes. Instead, you align your product catalog with the way generative engines operate, ensuring that your products are consistently found, recommended, and selected whenever a customer interacts with AI.