Novi knows because our methodology is the result of years of machine learning research.
Rather than guessing through prompt testing, Novi systematically identifies the category-specific signals AI consistently prioritizes and translates those insights into recommendations brands can act on.
See the category, product, competitive, and attribute signals shaping AI decisions.
Turn those insights into prioritized, product-level recommendations.
Optimize across PDPs, product data, retailers, content, and distribution channels.
Most AEO platforms stop at the surface, tracking prompts, flagging missing data, or helping make content easier for AI to read. Novi goes beneath the answer to uncover how AI evaluates your category, what actually drives product recommendations, and what each product needs to do to win.
In our latest analysis, we compared GPT-5.6 Luna with web search turned off against the standard live ChatGPT experience after Novi’s Category Intelligence recommendations had been implemented. Across the strongest-performing categories, Novi optimization was associated with Recommendation Rate lifts of roughly +34 to more than +90 percentage points.
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