Brand Safety

Brand safety, now built for influencer communities.

Influencer marketing scales fast, but vetting often does not. influData helps you screen creator communities before you sign, so you can protect brand reputation without slowing campaigns down.

@#!%SafeReviewLow🔥✓

What it is

AI-powered scanning of an influencer's community comments across 10 critical risk categories.

Why it matters

Comment culture can shift brand attitude and trust, even when the creator's post itself is fine.

How it works

Up to 10,000 comments analyzed per creator, each category gets a clear risk level: None, Low, Moderate, or High.

What you get

A color-coded risk dashboard with context, plus a full Community Report including sentiment, authenticity, and topic discovery.

Influencer brand safety is not only about what the creator posts.

It is also about the environment your brand appears in: the audience's comment culture, the toxicity level, and whether sensitive topics dominate the conversation.

User comments can measurably influence brand attitude and trust, turning a "safe" partnership into a risky one.PubMed (2020)

The challenge

Brands are scaling creator investment while vetting remains rushed and inconsistently documented.

~82%
consider influencer marketing "somewhat safe"
50%+
spend 30 min or less vetting a creator
96.6%
want documentation on vetting
25.6%
consistently receive that documentation
21.8%
believe agencies have a well-defined vetting process

EMARKETER + Viral Nation (Sep 2025)

Toxicity can be amplified by influencer dynamics

A 2026 peer-reviewed study analyzing 101 brand-related misinformation posts (48,821 comments) shows influencer-driven misinformation can increase and reshape toxic engagement, including patterns like "firestorms" and "toxic debunking".

Cardiff University (Orca), 2026

influData Brand Safety Analysis

An AI-powered scan of an influencer's community comments that surfaces risk across 10 critical categories, with a clear risk level per category.

Built to give teams a fast, repeatable way to answer:

"Is this creator's audience environment safe for our brand?"

Why comment scanning matters

Influencer-driven dynamics can intensify toxic engagement and sustain toxic echo chambers. Screening the comment environment helps brands spot early signals before they become campaign issues.

Safety vs. Suitability

Brand Safety
Protecting against illegal or dangerous content (baseline)
Brand Suitability
Matching environment to what is relevant and appropriate for your brand

Brand safety protects against illegal or dangerous content (the baseline). Brand suitability matches the environment to what is relevant and appropriate for your brand. influData helps teams operationalize both on creator communities.

IAB Europe

How it works

AI comment scanning

Analyze up to 10,000 comments across multiple recent posts.

10-category risk assessment

Each category gets a risk level: None, Low, Moderate, or High.

Visual dashboard + evidence

A color-coded grid of 10 tiles with context, plus exportable reporting.

Risk levels

None
No meaningful presence detected
Low
Rare mentions, limited exposure
Moderate
Notable presence, review recommended
High
Significant presence, potential brand risk

What we detect in the community

10 risk categories

Political

Political views, politicians, elections, government policies

Religious

Religion, faith, spirituality, religious debates

Alcohol & Drugs

Drinking, alcohol brands, drugs, substance use

Adult Content

Sexual references, suggestive content, adult themes

Violence

Aggression, fighting, weapons, harm, threats

Gambling

Betting, casinos, lottery, crypto gambling

Profanity

Swearing, vulgar language, explicit language

Controversial

Divisive topics (e.g. abortion, immigration, climate debates)

Discrimination

Racist, sexist, homophobic, discriminatory language

Self Harm

Self-injury, suicide mentions, eating disorder signals, mental health crisis language

Sample Brand Safety Report

Illustrative example (not real creator data)

Platform:InstagramPosts:6 postsComments:487 commentsLanguages:EN, DE
Political
Moderate
Repeated election and policy debates in threads
4.8% flagged
Religious
None
No notable religious debate detected
Alcohol & Drugs
Low
Occasional alcohol mentions in celebration contexts
1.2% flagged
Adult Content
None
No notable adult-content signals detected
Violence
Low
Isolated aggressive language in arguments
0.9% flagged
Gambling
None
No notable gambling-related discussion detected
Profanity
High
Frequent profanity across multiple threads
8.3% flagged
Controversial
Moderate
Recurring polarizing debates with argumentative tone
3.6% flagged
Discrimination
Low
Rare borderline language and group-targeting phrases
0.6% flagged
Self Harm
Low
Occasional crisis language and self-worth concerns
0.4% flagged

Sentiment Distribution

Very Positive18%
Positive41%
Neutral29%
Negative9%
Very Negative3%

Comment Depth

Deep 27%
Medium 54%
Shallow 19%
86
Authenticity Score
No engagement pods detected

Decision Stage Funnel

Awareness
52%
Consideration
29%
Decision
9%
Loyalty
6%
Advocacy
4%

Part of the influData Community Report

Brand Safety is one layer of the full Community Report, which also includes:

Sentiment distribution

5-point scale from very positive to very negative

Comment depth

Deep, Medium, or Shallow engagement analysis

Authenticity score

Authenticity scoring plus engagement pod detection

Topic discovery

Positive and negative topics with frequency analysis

Decision-stage funnel

Classify audience by awareness, consideration, decision, loyalty, advocacy

AI Q&A

Ask questions over comments with cited examples

PDF export

Export the full report as a branded PDF

Campaign tracking

Profile-level tab and campaign-level tracking

Avoid costly partnerships and protect reputation before launch.

When influencer marketing goes wrong, brands can be unprepared and the reputational downside can be severe, especially when risk signals were visible in the community environment.

How much time does manual vetting cost?
50 creators
×
30 min each
=
25 hours
manual work

influData can do this in minutes, not days.

FAQ

Is this brand safety or brand suitability?

Both concepts matter: brand safety is the baseline (protecting against illegal or dangerous content), and suitability is your brand's comfort level by category and context. influData helps teams operationalize both on creator communities.

Why look at comments instead of only posts?

Comments are where community behavior and sensitive-topic density show up. Research shows comment valence can affect brand attitude and trust, even when the post itself is fine.

Can the "safe today, risky tomorrow" problem be solved?

Creators can become embroiled in controversy unexpectedly; that is why screening and monitoring are both important. Regular re-scanning helps teams stay ahead of shifts in community behavior.

How many comments are analyzed?

Up to 10,000 comments across multiple recent posts per creator. This provides a statistically meaningful sample of the community's comment culture.

What platforms are supported?

influData supports brand safety analysis across major social media platforms including Instagram, TikTok, and YouTube.

Can I export the results?

Yes. The full Brand Safety and Community Report can be exported as a PDF, making it easy to share with stakeholders, include in campaign decks, or archive for compliance documentation.

References

Sources cited on this page:

Disclaimer: This page is informational. The studies and data cited are from third-party sources; platform rules and market data can change.