Pick creators on data,
not on a hunch.
Find them with one plain sentence. Judge them with pre‑analyzed profiles.
Demographics, interests, engagement, and estimated ad rates for Instagram creators, on one screen.
Same question, different answer.
General AI vs. AI with Whotag
Example: a plain-language search for “skincare influencers, Korean women in their 20s”
Skincare influencers, Korean women in their 20s
Sorry, I can’t access Instagram or TikTok accounts directly, so I can’t give you a real list of influencers. I can’t verify facts about specific people, so I won’t recommend anyone.
General advice
Skincare influencers who are Korean women in their 20s typically post daily routines and product reviews. Instagram and YouTube are said to be the main platforms.
How to find them
To find real influencers, try an influencer marketing platform or search hashtags yourself.
* I can’t provide numbers such as follower counts, engagement, or rates.
Plain-language search results
Instagram · 12,439 matches (measured)💬 “Skincare and beauty influencers, Korean women in their 20s”
Campaign fit recommendation
Recommended: a mix of 3 nano and micro creators
Two nano (1K–10K) and one micro (10K–50K) creator rank near the top for viral reach. Combined estimated rate is $1.5K, with content in K‑beauty, skincare, and daily routines. A cost-efficient mix.
Plain-language search results
Instagram · 12,439 matches (measured)💬 “Skincare and beauty influencers, Korean women in their 20s”
Campaign fit recommendation
Recommended: a mix of 3 nano and micro creators
Two nano (1K–10K) and one micro (10K–50K) creator rank near the top for viral reach. Combined estimated rate is $1.5K, with content in K‑beauty, skincare, and daily routines. A cost-efficient mix.
Influencer discovery and vetting data, plugged into your AI
Anyone can show followers and engagement. Whotag pulls pre‑analyzed profiles with demographics, content domains, collab history, and AI fit from one plain sentence.
↳ Plain language → conditions mapped → candidate pool plus demographics, domains, and collab history in one call
💬 AI interpretation: “Korean women in their 20s focused on skincare content and product reviews”
↳ Demographics + domains + collab history + AI strengths and weaknesses (no extra search cost)
Covers daily routines and café visits, with a focus on detailed beauty and fashion product reviews. A nano creator with consistent visuals who is used to ad disclosures.
- •Consistent, detailed reviews that clearly convey product use and results.
- •Visuals and tone stay consistent, so the brand’s look and voice hold up in sponsored posts.
- •Already worked with 4 brands, so ad disclosure is familiar territory.
- •Content centers on personal-use reviews, so there is less room for campaign concepts.
- •Engagement sits at the category average: stronger on trust than reach.
- •Active in Korea only, a poor fit for global campaigns.
You can also ask
* For illustration only.
Creator insight, whenever you need it
15 tools combine automatically and answer in one flow.
One-sentence search
Type something like “find dermatologist influencers in North America” and it converts to filters automatically.
Beauty interest profiling
Sorts creators into 6+ beauty interest areas automatically: skin concerns, skin tone, makeup, skincare, personal color, hair, and more.
Auto-graded engagement and reach
Engagement, viral reach, and follower growth at a glance: Top 10%, High, or Average.
Estimated ad rates
Walk into every rate negotiation with a number, not just a follower count.
Daily history tracking
Tracks follower growth and posting frequency day by day to weed out fake followers and throwaway accounts.
Lookalike creator suggestions
Give it one reference account and get a pool of creators with similar profiles.
Reverse search by keyword and hashtag
Another way in: find influencers backwards from post keywords or hashtags.
One-sentence search
Type something like “find dermatologist influencers in North America” and it converts to filters automatically.
Beauty interest profiling
Sorts creators into 6+ beauty interest areas automatically: skin concerns, skin tone, makeup, skincare, personal color, hair, and more.
Auto-graded engagement and reach
Engagement, viral reach, and follower growth at a glance: Top 10%, High, or Average.
Estimated ad rates
Walk into every rate negotiation with a number, not just a follower count.
Daily history tracking
Tracks follower growth and posting frequency day by day to weed out fake followers and throwaway accounts.
Lookalike creator suggestions
Give it one reference account and get a pool of creators with similar profiles.
Reverse search by keyword and hashtag
Another way in: find influencers backwards from post keywords or hashtags.
What changes
Discovery, vetting, and rate talks no longer depend on agency contacts and guesswork. Just ask your AI.
Finding influencers no longer depends on sales and connections.
The right creators for a brand were found through agency and distributor contacts and manual research.
One plain sentence like “skincare influencers, Korean women in their 20s” converts to filters automatically, and you get a candidate pool right away.
No more haggling on gut feel.
Rates were negotiated on follower count alone, so ROI only showed up after the fact.
See estimated ad rate, engagement grade, and viral reach grade together, so your negotiation is backed by data.
Fake followers and throwaway accounts, caught in the time series.
Follower authenticity was hard to verify, and campaigns kept missing ROI after launch.
Daily follower growth and viral reach trends flag abnormal patterns before you commit.
Brand fit, checked against keywords and history.
Matching on category labels alone often missed the actual feel of the content.
Brand keywords, past collabs, and creator activity areas are combined to surface creators who truly fit your brand.
Analyze trends just by talking to your AI
No queries to write. Just ask in plain language.
Your AI works through Sometrend’s data and hands you the insight.