New Platform Measures Brand Performance in AI Shopping Results
Evertune's Shopping Intelligence tracks brand visibility in ChatGPT product recommendations, measuring competitive performance and retailer impact as AI bypasses traditional search.
Evertune, a leader in Generative Engine Optimization (GEO), has launched Shopping Intelligence, a new tool that tracks how AI models like ChatGPT recommend products to consumers and converts this data into optimization strategies for brands and retailers.
AI Recommendations Bypass Traditional Search
As ChatGPT increasingly provides product recommendations with direct purchase links, it's creating a new discovery channel that bypasses traditional search engines entirely. When users ask product-related questions, ChatGPT displays three to five product cards with prices, reviews, and purchase links, replacing the conventional search results format.
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The shift represents a fundamental change in how consumers discover and purchase products online. Rather than clicking through search results to compare options, users receive curated recommendations directly within conversational AI interfaces, complete with the information needed to make immediate purchasing decisions.
Four Core Tracking Capabilities
Shopping Intelligence helps brands answer four critical questions about their AI visibility. The platform measures how often AI identifies consumers as ready to buy through Shopping Trigger Rate metrics, providing insight into purchase intent patterns.
The tool tracks whether brand products appear in AI recommendations and measures competitive performance against rivals. It identifies which retail partners generate the most AI visibility and reveals distribution gaps that may be limiting brand exposure.
According to CEO Brian Stempeck, "Shopping Intelligence doesn't just show brands where they stand, it tells them exactly what to do about it." The platform goes beyond metrics to reveal the reasoning behind AI recommendations, helping brands understand why certain products are recommended for specific features and which topics consistently trigger shopping experiences.
Detailed Analytics and Competitive Intelligence
The platform provides comprehensive analysis including visibility scores and pricing data for every recommended product. Product Analysis shows which items AI favors and which topics trigger recommendations most frequently.
Retailer Analysis reveals which partners appear most frequently in AI recommendations, giving brands insight into which distribution relationships drive the most visibility in AI-powered shopping experiences. The competitive pricing feature compares product pricing against competitors as displayed by AI models, allowing brands to understand their positioning in real time.
All data is exportable and filterable by product, retailer, AI model, topic, or prompt, giving marketing teams flexibility in how they analyze and act on the insights.
Expanding AI Shopping Landscape
Shopping Intelligence is currently available on the Evertune platform, tracking ChatGPT recommendations with plans to expand to additional AI models as they introduce shopping functionality. The launch comes as AI-powered shopping experiences continue to evolve and expand across consumer platforms.
The tool represents a shift from experimental GEO concepts to measurable business practice, providing brands with actionable metrics for a channel that functions fundamentally differently from conventional search engine optimization. As AI adoption accelerates, particularly in Asian markets, brands now have tools to track and optimize their presence in AI-curated product discovery experiences.
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