Playbook replay
Find top creators
A real session: 30 tool calls across creator search, hashtag and profile lookups, ending in a shortlist of 5 saved from 158 scanned.
A real Naise session, redacted before publishing. Nothing here runs against a live account.
Every session here was run once and saved, against a demo brand or public data. On your own account Naise works from your brand voice, your campaigns and your connected channels, so it reasons about your data instead of a stand-in.
My read: lead with Creator A for beauty/lifestyle in Malaysia and Creator B for Singapore if you need credible beauty-adjacent creator fit. I would be careful with some “Malaysia” indexed matches because their live bios/content point outside SG/MY; I’ve separated those with a fit note rather than pretending they are clean local picks.
| # | Creator | Status | Market signal | Followers | ER | Audience / content signal | Sample content |
|---|---|---|---|---|---|---|---|
| 1 | Creator A | Net-new | Malaysia | 1.1M | 8.47% | Malay/English beauty audience; strongest fit for cosmetics, skincare, modest fashion, TikTok Shop beauty. | Sony creator camera test, 667.5K views; Skintific cushion first impression, 309.3K views; soft outfit styling, 528K views. |
| 2 | Creator C | Net-new | Malaysia-indexed | 3.0M | 11.82% | Bridal, fashion, romantic lifestyle audience; stronger for wedding, fragrance, occasionwear than everyday beauty. | Wedding vision post, 1.7M views; reception post, 563.2K views; second dress post, 128.1K views. |
| 3 | Creator D | Net-new | Malaysia signal | 6.1M | 12.32% | Broad Malaysian/Asian lifestyle-comedy reach; not a pure beauty creator, but useful for mass awareness. | “What Malaysia is REALLY Like,” 1.1M views; Asian parents skit, 1.8M views; Transformers skit, 659.2K views. |
| 4 | Creator E | Net-new | Singapore | 1.5M | 7.86% | Personality-led SG lifestyle audience; beauty fit comes through aesthetic-clinic and self-image content, not product-review depth. | Filipino people skit, 737.9K views; Aura Bangkok face-lift post, 42.5K views; lifestyle reaction post, 178.9K views. |
| 5 | Creator B | Net-new | Singapore | 294.9K | 3.61% | Male lifestyle, grooming, tattoo, fitness-adjacent audience; strongest SG fit for men’s beauty, fragrance, collagen, grooming. | MIRIQA collagen post, 74.5K views; Calvin Klein post, 17.2K views; tattoo content, up to 1.3M views. |
| 6 | Creator F | Net-new | Malaysia | 1.7M | 0.91% | Visual transition audience; good for beauty transformation, travel-beauty, editing-led product reveals. | Shu Uemura transition BTS, 11.3M views; transition tutorial, 5.5M views; Yunnan food transition, 472.1K views. |
| 7 | Creator G | Net-new | Malaysia | 1.7M | 3.89% | Malay beauty/lifestyle audience; better for mainstream product seeding than premium positioning. | Bayfree lip liner stain, 535.4K views; lifestyle/mukbang post, 528.2K views; trend post, 113.2K views. |
| 8 | Creator H | Net-new | Malaysia-indexed, live bio points CA/PH | 3.1M | 7.65% | High-fit beauty creator, but I’d validate regional audience before buying for SG/MY. | Transfer-proof lipstick/gloss, 7.6M views; blue lip gloss test, 998K views; PH liquid blush review, 227.8K views. |
The strongest beauty shortlist is Creator A, Creator B, Creator G, and Creator H if regional audience validates. For lifestyle awareness, add Creator D and Creator E; for a visual transformation mechanic, add Creator F.
Audience age/gender splits weren’t exposed in the live TikTok fetch, so I would not pretend those are known. The safer audience read here is market/language/content-lane fit plus live post performance.
Naise created an artifact
5 creators saved from 158 scanned, with follower count, category and market from each indexed profile.
5 influencers
| Creator | Followers | Indexed ER | Category | Market |
|---|---|---|---|---|
| Creator C | 2.8M | 1.00% | Beauty | Malaysia |
| Creator E | 1.5M | 2.19% | Luxury & Lifestyle | Singapore |
| Creator B | 299K | 0.48% | Beauty | Singapore |
| Creator H | 3.0M | 0.39% | Beauty | Malaysia |
| Creator I | 323K | 2.46% | Luxury & Lifestyle | Singapore |
Indexed ER comes from the saved profile records and runs lower than the live figures quoted in the chat above, which were pulled fresh at the time of writing. Both are in the session on purpose: the live number is what the creator is doing now, the indexed one is the stored baseline.
Stated limit from the session: TikTok did not expose audience age or gender in the live fetch, so no audience split is claimed. Fit is read from market, language and content lane instead. Handles are masked and full names are not published.
That was a sample. Run it on your own brand.
Naise reads your brand, your channels, and your market, then does this against your real data.
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