Introduction to PX Insights: Optimizing for the AI Era

AI is rapidly transforming how people discover and evaluate products. Platforms like ChatGPT, Google Gemini, and Perplexity are no longer just information tools—they are shopping assistants and decision engines.

To win in this new "Answer Economy," brands must move beyond traditional SEO keywords and embrace Generative Engine Optimization (GEO): the practice of ensuring AI models understand, trust, and recommend your brand in their generated answers.

The 4 Pillars of GEO

Success in AI-driven search is built on four critical pillars. PX Insights is designed to help you audit and optimize your catalog across each one:

• Tech (Structure): Is your product data machine-readable? AI relies on clean, structured attributes and reliable standards like Schema.org to extract facts accurately.
• Authority (Confidence): Is your product validated across the web? AI ranks its confidence in your product based on how your data matches third-party reviews and marketplace signals.
• Relevance (Context): Do you map products to real user intent? AI retrieves solutions based on use cases (e.g., "best for small apartments") rather than just technical specifications.
• Signal (Freshness): Are people talking about you right now? AI favors real-time velocity, such as recent customer sentiment and marketplace activity.

Your Two-Step Path to Visibility

PX Insights provides two complementary features to ensure your products move from being "invisible" to a "top choice" for AI agents.

1. AI Readiness (The Foundation)

Before an AI can recommend your product, it must first be able to understand it. AI Readiness acts as a technical "under-the-hood" audit of your digital DNA.

• What it does: Assesses your website and PIM structure for machine-readability.
• The Goal: Identify critical gaps in your Schema.org data, global identifiers (SKUs/GTINs), and technical specifications to ensure AI crawlers can find and trust your facts.

2. AI Discoverability (The Performance)

Once your data is machine-readable, you must ensure your product is the recommended solution for a specific shopper intent.

• What it does: Benchmarks your product rankings against real-world conversational queries (e.g., "What is the most aesthetic espresso machine for a small kitchen?").
• The Goal: Analyze why a product was—or wasn't—recommended and receive actionable suggestions to enrich your content with the "intent data" AI looks for, such as front-loading use cases and lifestyle FAQs.

How PX Insights Transforms Your Strategy

PX Insights turns your Akeneo PIM into a proactive engine for the AI era through a continuous feedback loop:

• Simulate AI Shopping Queries: Run simulations to see how customers discover your products on leading AI platforms.
• Benchmark Against Competitors: Compare your AI visibility directly against competitors to identify market gaps.
• Receive Actionable Suggestions: Get concrete recommendations to improve descriptions and fact density to close the "Data Void" that leads to AI hallucinations or competitor recommendations.
• Learn from Customer Sentiment: Automatically extract themes from reviews to align your product data with how customers actually describe their experiences.

AI Discovery optimization is a fundamental shift in visibility. By establishing your foundation with AI Readiness and scaling your performance with AI Discovery, PX Insights ensures that when a machine is asked for a recommendation, your brand is the definitive answer.