Audit Content for Authenticity, Not Just Quality
FTC endorsement guidance requires disclosure of AI-generated content in sponsored posts. Aiscern screens UGC, influencer deliverables, and agency content so your brand isn't caught publishing unverified AI material.
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Unverified AI Content Is a Brand Risk
The AI content problem is getting harder to solve. Here's what professionals in marketing & brand face every day.
Influencers delivering AI-generated captions and reviews
Paid partners and micro-influencers increasingly use AI to produce sponsored content, violating authenticity guidelines and FTC disclosure requirements.
UGC campaigns contaminated with synthetic submissions
Customer stories, reviews, and photo contest entries can be AI-generated, undermining the genuine social proof that UGC campaigns depend on.
Agency content with AI filler reducing brand differentiation
Content agencies billing for creative work that is largely AI-generated deliver generic output that erodes brand voice over time.
Deepfake imagery in competitor analysis and industry research
Synthetic images circulating on social media can be misidentified as real product photos, misleading competitive intelligence.
How It Fits Your Workflow
Import Campaign Content
Pull in UGC submissions, influencer drafts, or agency deliverables.
Run Multi-Modal Scan
Text and image ensembles score each item for AI-generation confidence.
Review Authenticity Dashboard
Sort flagged content by risk score before publishing or paying out.
How Aiscern Solves It
Our ensemble-based detection pipeline combines 8+ specialized models with a confidence threshold system.Learn about our methodology →
Text Content Detection
Identify AI-generated blog posts, product descriptions, social captions, and UGC submissions with ≥94% ensemble AUC.
Image Authenticity
Detect AI-generated brand imagery, synthetic product photos, and fabricated lifestyle content.
Bulk Content Audits
Scan entire content libraries, campaign submissions, or agency deliverable batches simultaneously.
Risk Scoring Dashboard
Sort and filter scanned content by AI confidence score to prioritize human review of highest-risk items.
Influencer Content Review
Analyze deliverable packages from influencer partners before approving payment or publishing.
Audit Reports
Generate documentation for content authenticity audits, FTC compliance records, and agency performance reviews.
ℹ️ Accuracy varies by content type and model generation date. Results are probabilistic — use alongside human judgment.See full benchmarks →
Real-World Use Cases
UGC Campaign Verification
Challenge
A consumer brand's "real customer stories" campaign depends on genuine customer voices.
Action
All 2,000 written submissions are scanned before any are featured.
Influencer Deliverable Auditing
Challenge
A brand manager needs sponsored posts from 50 micro-influencers to be genuinely theirs.
Action
Every draft is scanned before approval and payout.
Agency Content Quality Control
Challenge
A marketing director audits monthly deliverables from a retained content agency.
Action
Blog posts and email copy are scanned before sign-off.
How Aiscern Compares to Copyleaks
| Feature | Aiscern | Copyleaks |
|---|---|---|
| Modalities covered | Text + image | Text-focused |
| Bulk campaign scanning | 1,000 posts/batch | Limited batch size |
| Confidence uncertainty zone | ||
| Influencer deliverable workflow | ||
| Free tier |
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Frequently Asked Questions
Can Aiscern detect AI content that has been edited by a human?
Human editing reduces AI confidence scores, particularly extensive editing. Lightly edited AI content typically scores 45–75%. Heavily edited content may fall below our 62% AI threshold. We report confidence ranges, not binary verdicts, to reflect this nuance.
How does detection work for short-form content like social captions?
Short texts (under 150 words) have wider confidence intervals because there is less linguistic signal to analyze. We recommend supplementing with longer form analysis when assessing short-form content.
Can we use Aiscern results in influencer contract disputes?
Our reports are technical analysis documents, not legal evidence. We recommend using them alongside your contract terms and legal counsel's guidance in any dispute resolution process.
Does Aiscern detect AI-generated product images from tools like Midjourney?
Yes. Our image ensemble is trained on output from Midjourney, DALL-E, Stable Diffusion, Ideogram, and other major generators. Benchmark accuracy for diffusion model imagery is ≥98% AUC on our test datasets (14-layer ensemble).
Is there a way to screen content before it is submitted by influencers?
Yes — our API can be integrated into submission portals, content management platforms, and influencer management tools to screen content at upload time.
Ready to detect AI content in marketing & brand?
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