- Agentic Brand
- Posts
- Agentic TikTok DM Outreach At Scale
Agentic TikTok DM Outreach At Scale
AI agents sliding into TikTok DMs with precision-matched brand collabs
Expanding Agentic Outreach to TikTok
Following the implementation of a.gentic’s autonomous Instagram influencer campaign agents, we've now adapted our agent technology for TikTok's platform. The key difference: while Instagram's DM limits led us to use email outreach, TikTok allows direct messaging at scale, opening new possibilities for automated creator outreach.
TikTok App Approval
Implementing DM automation required official TikTok App approval. This process granted us:
Direct API access to creator profiles and content data
Ability to send DMs programmatically through official channels
Real-time content monitoring capabilities
Compliance with TikTok's platform policies
The Six-Step Process: Automated TikTok Creator Outreach
1. Vectorizing TikTok's Creator Base

We processed hundreds of thousands of TikTok creator profiles, converting each into vector embeddings that capture:
Content categories and themes
Posting frequency and patterns
Hashtag usage
Engagement metrics
Audience demographics
The volume of content on TikTok required building a new processing pipeline capable of handling creators who post multiple times daily, each post containing signals about their content focus.

2. Brand DNA Extraction

Using the same vectorization principles from our Instagram system, we create mathematical representations of brands. The Brand Insights Agent researches and analyzes:
Brand websites and social presence
Product offerings and target audience
Marketing messages and value propositions
Existing content themes
This creates a comprehensive brand vector that can be matched against creator vectors.
3. Vector-Based Creator Matching

Our TikTok Matchmaker Agent uses our Pinecone vector database to:
Query across hundreds of thousands of creator vectors
Identify creators with high similarity scores to the brand vector
Return matches based on multi-dimensional alignment
Process queries in milliseconds for real-time results
This approach goes beyond keyword matching, finding creators whose overall content aligns with brand attributes.
4. Real-Time Content Verification

TikTok's rapid content turnover means historical data quickly becomes outdated. For each potential match, we:
Pull the creator's most recent TikTok posts
Analyze current content against brand attributes
Generate a Match Report with numerical scoring
Filter creators above the brand's specified match threshold
This ensures recommendations reflect current creator content, not outdated profile data.
5. Automated DM Personalization

For creators meeting the match threshold, our personalization agent:
Analyzes specific posts that demonstrate brand alignment
Identifies content elements to reference
Generates personalized messages mentioning specific videos or content themes
Adapts message length and style based on platform norms
6. Direct Message Delivery
Brand install our TikTok app and messages are sent through it:
Direct delivery to creator DMs sent from the brand’s TikTok account
Full platform compliance
Processing Pipeline
Our system handles:
Continuous creator profile updates
Real-time content analysis
Thousands of DMs per brand per week
Vector Database Performance
Using Pinecone allows us to:
Store and query millions of creator vectors
Update embeddings as creator content evolves
Maintain sub-second query response times
Scale horizontally as our creator database grows
The adaptation of our agentic system to TikTok shows the flexibility of vector-based matching across platforms. By maintaining our core vectorization and matching principles while adapting to platform-specific features, we've created a system that operates at scale while delivering personalized, relevant outreach.
Want access to a.gentic’s TikTok DM Outreach Agent? DM Bora on LinkedIn.