Advanced TikTok Intelligence Engine
Understand what’s gaining attention. Explore how people respond.
ATTIE brings together TikTok video analysis, comments and performance data to help media teams, agencies, researchers and brands investigate emerging topics and audience response.
Use the evidence to shape a brief, explore a content opportunity or ask a sharper research question. Query the analysis in natural language through Gemba’s MCP integration.
Three layers of intelligence
Content
Explore the subjects, themes and patterns appearing in the videos Gemba has analyzed.
Performance
Examine video and creator performance to understand the scale and distribution of attention in the available data.
Audience response
Investigate comment themes and inferred emotional and behavioral signals alongside the content that prompted them.
Start with a question
ATTIE supports an exploratory research workflow. Questions to investigate include:
- Which topics are gaining attention in the analyzed data?
- Is a pattern appearing across several creators, or concentrated in a few videos?
- How do comment themes and audience-response signals differ across content?
- What evidence supports a trend that deserves a closer look?
Explore structured analytical results, comparisons and relevant video or creator examples, then follow up on the patterns that matter to your brief.
Bring the analysis into your AI workflow
MCP stands for Model Context Protocol. It gives compatible AI assistants a way to query Gemba’s analysis, so your team can ask questions in ordinary language and explore the results through a conversation.
Gemba’s integration provides read-only analytical access. The underlying evidence supports the answer; your team brings the interpretation, context and creative judgment.
Talk to us about the questions you need to answer, the AI tools you use and how the integration could fit your workflow.
Put the evidence to work
- Media and development teams: explore cultural themes and audience response to inform research and creative briefs.
- Agencies and brands: investigate content patterns and conversations relevant to a campaign or category.
- Researchers and strategists: compare patterns, test assumptions and identify questions for deeper investigation.
Keep the evidence in context
Findings reflect the available dataset and observation period. Emotional and behavioral signals are AI-inferred analytical indicators, not definitive readings of individual emotions or proof of what caused a result. Review them alongside the underlying content and the limitations of the sample.
What would you like to understand?
Bring a research question, a content brief or a workflow you want to improve. In a 30-minute introductory call, we’ll discuss where ATTIE could be useful and what you would need to evaluate it.