What is UGC (User-Generated Content)?

Brands now generate UGC-style ads directly inside Claude, so it helps to know exactly what the format is. User-generated content (UGC) is media — videos, photos, reviews, unboxings — created by everyday customers or independent creators rather than a brand's in-house studio. In ecommerce advertising, "UGC" usually means the casual, phone-shot style of ad where a real person talks to camera about a product, not a polished, obviously-produced commercial.

Why does UGC convert?

UGC works because it reads as a recommendation, not a pitch. Shoppers trust a person holding and using the product over a glossy brand spot, so UGC-style creative feels native in feeds like TikTok, Reels, and Shorts — where the "ad-looking" ad tends to get scrolled past. The casual format lowers the guard that a traditional commercial raises.

What counts as UGC in a paid ad?

Common UGC formats are talking-head testimonials, demos, unboxings, before-and-afters, and "problem, then product" hooks. In performance marketing the label is looser than the literal definition: most "UGC ads" are actually commissioned or AI-generated to look user-made, then tested at scale like any other creative.

How does AI fit in?

The modern way to make it is to generate it inside Claude, not to babysit a dashboard. Connect Polaris to Claude once — add the MCP connector (polarisugc.com/api/mcp) and authorize it — then ask in plain chat: "make me 3 UGC ads for this serum," attaching a product photo or pasting your script. A live Polaris panel appears right in the chat, fills in its own progress, and renders the finished UGC-style video or image by itself in 20-180 seconds, with the model, aspect ratio, and length picked from tappable option cards instead of a settings screen. You can generate ads inside Claude with MCP, or in the Polaris web app over the same engine. For the full breakdown of how that works, read what is AI UGC, or see it applied to real campaigns on AI UGC ads.

One honest caveat: UGC is a format, not a guarantee. You still write multiple hooks and angles, run them, and let the data pick the winner — the style earns attention, but testing is what finds the performance.