Clipcat Prompt Library: 17,160+ Real-GMV Winning Prompts
Not a generic AI prompt directory. A directory of TikTok selling-video prompts that already produced GMV. 15 countries × 30 categories × 13 formats. Reusable in one click.
Not a generic AI prompt directory. A directory of TikTok selling-video prompts that already produced GMV. 15 countries × 30 categories × 13 formats. Reusable in one click.
The Clipcat Prompt Library is a curated set of 17,160+ TikTok selling-video prompts, each backed by a real TikTok Shop winner that produced verified GMV.
Most "AI video prompt directories" online are brainstormed collections. The Clipcat library is a spoils-of-war collection — the only inclusion rule is "this video actually sold something."
In the TikTok ecosystem, high-view videos don't automatically sell. What actually drives sales is the combination of completion rate, engagement, add-to-cart and order rate — plus how well the video structure pushes a purchase decision.
For TikTok Shop sellers, only the second matters. That is the deepest distinction between Clipcat's library and public prompt directories.
The library isn't a linear long list — it's a three-axis grid:
| Axis | Enum size | Typical picks |
|---|---|---|
| Country | 15 | US / SG / BR / MY / JP / ID / PH / VN / GB / TH / IT / DE / ES / FR / MX |
| Category | 30 | Beauty, home, pet, fitness, baby, apparel, 3C, kitchen, auto... |
| Video format | 13 | Real usage review, spokesperson, hand-held demo, OOTD, lifestyle, promo push... |
Crossing the axes yields tight candidate pools like "US · beauty · real usage review" or "Indonesia · home · hand-held demo."
The 13 formats aren't a design — they emerged from clustering 17,160+ real winners. Top six by sample count:
| Format | Samples | Core anatomy |
|---|---|---|
| Hand-held product demo | 7,189 | Hands + close-up + minimal callouts — the dominant form |
| Real usage review | 2,338 | Unbox → try → verdict, full decision chain |
| Promo hard push | 2,058 | Price / discount / urgency, three beats |
| Lifestyle scene | 1,450 | Product embedded in real life, emotion-led |
| OOTD | 1,119 | Apparel & beauty strength, string multiple SKUs into one outfit |
| Spokesperson | 993 | Talking to camera + subtitles — avatar-friendly |
Which format fits your category has already been answered by the library — via sample density.
Winner structure varies wildly by market — the US is content-depth-first, Southeast Asia is emotion-forward, Japan is texture-obsessed. Top eight by sample density:
For US you can filter down to "beauty · lipstick · hand-held demo" granularity. For smaller-language markets, start on "category + format" first and layer country on top.
The library is a node in Clipcat's full loop, not a standalone tool. Standard usage:
The library's value isn't "how many prompts." It's "can you consistently pull one out each day that converts to GMV."
Free tier includes browsing and using base samples. Paid tiers unlock niche categories, non-mainstream markets, deep filters and batch export.
The library is designed to work with Clipcat's clone engine. Exported prompts alone won't reproduce the same winner structure elsewhere — winner structure = prompt + clone engine + sample reference, and all three are needed.
Rolling updates as TikTok Shop winners get GMV-anchored — daily additions.
Yes. Bilingual — you can switch between English and Chinese views.
Three checks: same category, same price band, same target market. The more aligned, the higher the clone success rate.