Choosing the right creator is not only about alignment. It is also about risk and reputation. Brand Safety and Content Analysis scores are designed to give you a clear, structured understanding of a creator’s content before you collaborate.
Here is how the methodology works:
1. We Analyze Every Post Across All Platforms
We do not rely on a sample of content.
We analyze every available post from each creator across all their social platforms. This includes captions, text content, and contextual signals from their publications.
All of this content is fed into a large language model for structured evaluation.
This allows us to assess the creator based on their full content history, not isolated examples.
2. Content Analysis
Once the content is processed, we generate a comprehensive Content Analysis profile.
This analysis evaluates:
Core themes and recurring topics
Tone of voice
Positioning and narrative style
Controversial or sensitive themes
Content intensity and language patterns
The goal is to clearly understand what the creator consistently talks about and how they communicate.
This creates a structured, AI generated overview of their content identity, helping brands quickly assess:
Whether the creator’s content fits their category
Whether the tone aligns with their brand voice
Whether the creator frequently discusses polarizing topics
Content Analysis provides context.
It answers: What kind of content does this creator actually produce?
3. Brand Safety Evaluation
Brand Safety focuses on risk detection.
Using the same full content dataset, the model evaluates potential safety concerns across areas such as:
Explicit or adult content
Hate speech or discriminatory language
Political extremism
Violence or harmful behavior
Substance abuse references
Misleading or harmful claims
The system does not rely on keyword blocking alone. It evaluates context and meaning to avoid false positives and detect nuanced risk.
The result is a Brand Safety Score that reflects the level of potential reputational risk associated with the creator’s content.
A higher score indicates lower risk.
A lower score signals elevated safety concerns.
4. Structured Scoring
From this full scale analysis, we generate:
A Brand Safety Score
A Content Analysis profile
Risk flags when applicable
This gives brands a clear framework for evaluation:
Is this creator aligned with our values
Is their tone compatible with our positioning
Does their content present reputational risk
Why This Matters
Influencer partnerships directly impact brand perception.
Even a single controversial post can affect:
Customer trust
Public image
Long term brand equity
Manual vetting is time consuming and inconsistent. Reviewing hundreds or thousands of posts per creator is not scalable.
By analyzing every post with AI and applying structured evaluation criteria, we create a consistent, objective, and scalable safety review process.
The Difference Between Brand Fit and Brand Safety
It is important to distinguish the two:
Brand Fit measures relevance.
Brand Safety measures risk.
A creator can have:
High Brand Fit and high Brand Safety, ideal scenario
High Brand Fit but low Brand Safety, relevant but risky
Low Brand Fit but high Brand Safety, safe but irrelevant
Together, these scores give you both alignment and protection.
In Summary
Our methodology is simple but comprehensive:
We collect and analyze every creator post across all platforms
We feed the full dataset into an advanced language model
We generate structured Content Analysis insights
We calculate a Brand Safety Score based on contextual risk evaluation
This allows you to move beyond surface level metrics and make partnership decisions based on:
Relevance.
Reputation.
Risk control.
With Brand Safety and Content Analysis, you gain clarity before committing to collaboration.