How to find trending TikToks with Claude
Use Claude with connected TikTok data to find emerging videos, compare performance against a baseline, and save a shortlist with source evidence.
How can I find trending TikToks with Claude?
Connect Claude to Siftree and describe the niche, market, and kind of trend you want to find. Siftree collects relevant TikTok content, compares performance over time, identifies emerging patterns, and saves the research in your databases. You get a shortlist with supporting evidence. A single view count shows popularity; repeated observations reveal whether attention is growing.
How this workflow fits: Siftree is the headless engine for agents. Build a social listening solution through your own chatbot connected over MCP. We manage data integration, the data and AI platform, app and agent cloud, and security. Explore the sources and connections for your workflow through the available integrations.
Start with the trend that matters to your business
A brand looking for emerging skincare conversations needs a different view from a creator looking for new formats. Tell Claude the topic, audience, market, and decision you want the research to support. Siftree handles the data collection and analysis behind that goal.
For this walkthrough, the question is: Which recent videos about refillable skincare are gaining attention across multiple creators?
Use the Claude connection guide to connect Siftree, then make the request in your own words.
Give Claude a useful starting request
Find emerging TikTok trends about refillable skincare in the US.
Focus on recent videos and patterns appearing across multiple creators.
Show which videos are gaining attention, why each pattern matters,
and links to the content supporting your conclusions.
Save the research and send me a fresh brief each week.
Siftree finds the relevant sources, collects the content and observations, runs the analysis, and keeps the results.
Understand what the result is measuring
Popularity and momentum answer different questions. A video with a large total view count may have stopped growing; a smaller video may be attracting attention quickly.
Siftree can compare observations over time and evaluate performance relative to the creator or topic. It can also group videos by recurring subjects, formats, claims, or audience reactions through the AI gateway.
| Signal | What it helps explain |
|---|---|
| Recent growth | Which videos are still gaining attention |
| Creator-relative performance | Which videos stand out from a creator's usual results |
| Distinct creators | Whether a pattern extends beyond one account |
| Repeated content themes | What connects the videos |
| Audience reactions | What people respond to or ask about |
The output connects its conclusions to the underlying videos and observations, so you can explore the evidence behind a recommendation.
Compare popularity and momentum
Use the trend-observation calculations to compare total popularity with recent momentum.
When Video A gains 60,000 views over 24 hours, while Video B gains 12,000. Video B has more total views, but Video A grows faster during that interval. Video C has one observation, so a growth rate cannot be calculated.
Siftree performs these comparisons as part of the workflow. Your team gets the interpretation and the supporting observations together.
Keep building on the research
The collected content and findings live in your persistent databases. Use neural search to find related material, ask which patterns are spreading, or run analytical queries across the saved history.
Ask for a weekly brief or an update when a topic accelerates. Hosted execution keeps the work running between conversations, with collection and storage handled by Siftree.
The creator discovery template brings creators, content, and research together. For the feasibility question, read Can ChatGPT scrape TikTok?. You can also explore the TikTok source catalog and public-data capabilities.
Sources & methodology
Product details and supporting references used in this guide.
Co-founder, Siftree
Kyle co-founded Siftree after working in data across telecom, media, insurance, automotive, and entertainment and tourism. He writes Siftree's software comparisons and buying guides from the vendor documentation linked in each article.
Social listening
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Start with Social listening, or have us build around your team's workflow. Bring the data you use, the work you want done, and where the result should go. We'll scope the app and required access with you.