Free data sample
Upload a sample of your feed, and we'll turn it into an AI-ready dataset, so you can compare the results and see the difference.
Generic AI doesn't know which specs matter to your category. We deploy our proprietary AI agent BEACON to scan thousands of customer discussions, expert reviews, and forums—mapping real questions shoppers ask, quantifying buyer segments by market share, and extracting the exact language they use.
LLMs can only rearrange what you already gave them. Our AI agent scrapes manufacturer sites, databases, and expert reviews to fill every gap in your feed. We identify missing critical parameters, normalize inconsistent units, and verify accuracy across sources.
Generic AI creates plausible-sounding fluff. We translate technical jargon into answers to actual customer questions identified by BEACON research.
Examples: Washing machines
- Raw data: "Capacity: 9kg"
- Translation: "9kg = perfect for 3-4 person household; handles weekly laundry in 2-3 loads"
LLMs list features alphabetically or randomly. We order information based on which details affect the most people—benefits that matter to 40% of buyers appear before features relevant to only 8%.
Example: For pressure washers—if "Easy Storage" affects 40% of buyers, it's prioritized over "Professional-Grade Hose" that only 8% care about.
Every claim we make is traceable to a specific source—manufacturer data, expert reviews, or verified databases. If data is missing, we mark it unavailable rather than inventing features.
The difference: Generic AI confidently creates features that don't exist. Our system only outputs what it can prove. That determinism is what makes data agent-ready.
We assess one of your product pages against the questions shoppers actually ask AI, and send back a real fix list. One URL, zero cost.
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