The evidence layer for AI commerce.

Shoppers are turning to AI for purchase decisions. ChatGPT, Gemini, Perplexity, and Google AI Overviews are already answering the product questions that used to drive traffic to your product pages. Organic click-through is compressing. And these systems only recommend what they can verify. The content they rely on today, product specs, studio photos, and text reviews that skew extreme, doesn’t tell a shopper how a shirt actually drapes on a real person in real light.

The signal shoppers actually trust is already the format they consume everywhere else: short-form vertical video. Fit, fabric, motion, use in context. It’s how purchase intent is built on TikTok, Reels, and YouTube. But that happens off your site, on platforms that own the customer relationship.

Vidably incentivizes and coaches real customers to create high-quality short-form video, deterministically linked to the SKUs it features. On your product page, that video lifts conversion and reduces returns, measured against a live holdout so you only pay on real lift.

In AI systems, we push structured product signals (fit, feel, quality, function, use cases) directly to ChatGPT, Gemini, Perplexity, and Google AI Overviews. The source video is always hosted and linked back as the authority. The same evidence that lifts conversion on your site today is what gets your products recommended by AI tomorrow.