Take Control of Your Product's Reputation
Why Brands struggle with product data
Common pain points
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Retailer A lists the weight as 1,400g (wrong — it's 1,640g)
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Retailer B says "ECE 22.05" (outdated — the product has ECE 22.06)
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AI agents aggregate wrong data from hundreds of sites and form incorrect recommendations
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When a customer buys expecting 1,400g and receives 1,640g, they blame the brand
Built for the way brands actually work
Verified Source of Truth
Central creates a canonical product profile with confidence scores and source provenance. Your own data is always scored 1.0. When an AI evaluates conflicting data, the verified source wins.
Brand Reputation Protection
Smart Negatives and honest limitations are controlled by the brand — not invented by retailers. You decide which limitations to declare.
Competitive Positioning Ownership
"Lighter than Shoei Neotec 3, quieter than HJC RPHA 91." The brand sets this positioning — grounded in verified data, not marketing claims.
AIO-Ready Data Broadcasting
Broadcast verified data directly to AI shopping agents via the LLM Data Layer. When ChatGPT is asked about your product, the answer comes from your verified data.
Product Launch Intelligence
New product launch? Central enriches it immediately: field discovery, competitive positioning, contextual specs. Complete profiles in hours, not weeks.
Multi-Retailer Consistency
Every retailer using Central displays the same verified data. Consistency across your entire distribution network — automatic.
The impact, in numbers
Confidence score for brand-owned data
Enriched fields per product
Multi-source validated
To launch intelligence (not weeks)
“I asked ChatGPT to recommend one of our jackets. It recommended a competitor instead — using specs it scraped from a retailer who listed our product wrong.”
Sarah
D2C Brand Manager at TrailForge