Evertune Launches Shopping Intelligence to Track Brand Visibility in AI-Powered Product Recommendations

Why It Matters

AI‑driven shopping bypasses traditional search, so brands must understand and influence this new discovery path to protect market share. Shopping Intelligence supplies the data and guidance needed to allocate spend and optimize presence where consumers now shop.

Key Takeaways

• Tracks AI product recommendations in ChatGPT
• Shows visibility, pricing, retailer performance metrics
• Guides content and partnership optimization
• Benchmarks purchase intent via Shopping Trigger Rate
• Exportable data across products, retailers, prompts

Pulse Analysis

The rise of generative AI has reshaped how consumers discover products. When users ask ChatGPT for options—such as the best espresso machine under $200—the model returns a curated set of product cards with prices, reviews, and direct purchase links. This AI‑powered shopping experience sidesteps traditional search engine results pages, creating a new, high‑intent channel that brands must monitor if they want to stay visible in the consumer journey.

Evertune’s Shopping Intelligence translates raw recommendation data into a structured dashboard that quantifies brand performance in this nascent channel. Metrics like Shopping Visibility reveal the share of AI‑driven cards occupied by a brand’s SKUs, while the Shopping Trigger Rate gauges how often the AI deems a category ready for purchase. Pricing analysis highlights perception gaps, and Retailer Analysis identifies which partners drive the most AI exposure. By linking these insights to specific content gaps or missing retail relationships, the platform delivers clear, actionable steps—such as adjusting product copy, expanding retailer feeds, or repricing—to improve AI discovery outcomes.

Looking ahead, the tool’s exportable, filterable data sets position marketers to integrate AI shopping signals into broader optimization workflows, from media planning to inventory forecasting. As additional generative models roll out shopping functionalities, the ability to compare performance across AI ecosystems will become a competitive differentiator. Brands that leverage Shopping Intelligence can proactively shape their presence in AI‑first commerce, turning a disruptive technology into a measurable growth engine.