CreatorView - Applying Computer Vision and LLMs to Transform Social Media Brand Partnerships
Written by
Jason Laan
aicomputer-visionllmsocial media
November 25, 2025
TLDR; Laan Labs partnered with Social Media Agency GLOW to build an AI system that watches and analyzes social media content to instantly assess creator-brand fit. By combining computer vision, speech analysis, and LLMs, CreatorView transforms a manual days-long vetting process into an automated, comprehensive analysis that's already preventing brand disasters for major clients.
Social media influencer marketing is a $20+ billion industry in 2025, yet brands still struggle with a fundamental challenge: how do you efficiently vet thousands of hours of content across multiple platforms to ensure creator-brand alignment?
The stakes have never been higher. As Ad Age's Crisis Marketing Toolkit (PDF) highlights, "Brands no longer own the narrative—audiences do." High-profile talent crises have cost major brands millions in lost sales, damaged reputations, and emergency pivots. From controversial partnerships to creator scandals that force brands to scrub marketing materials across all channels, the financial and reputational risks are staggering.
When New York Creative Agency GLOW approached Laan Labs with this problem, they were manually reviewing creator content—a process that took days per creator and still missed critical red flags. Major brands need confidence that their chosen creators won't damage their reputation, but the sheer volume of content makes comprehensive vetting nearly impossible through traditional methods.
The advertising industry has been plagued by high-profile mishaps where content creators have damaged brand reputations through past controversial content, sudden shifts in tone, or undisclosed competitor partnerships. According to industry experts, when brands partner with controversial figures or fail to properly vet creator history, "the fallout can disrupt multiple aspects of the business—from sales to internal operations to agency relationships."
Traditional vetting methods are failing brands:
The Ad Age talent crisis playbook (PDF) emphasizes that proper vetting should "include examining a creator's full online history, reputation and audience sentiment—not just follower demographics or engagement rates." Yet this level of comprehensive analysis has been practically impossible at scale—until now.
We needed a solution that could analyze years of content across YouTube, Instagram, TikTok, and other platforms—understanding not just what creators say, but how they say it, what appears in their videos, and the subtle context that determines brand fit.
Laan Labs developed CreatorView as an intelligent content analysis pipeline that combines computer vision, speech-to-text processing, and large language models to create comprehensive creator profiles. Here's how it works:
Multi-Modal Content Ingestion: Our system pulls content from all major social platforms, processing video, audio, images, and text through parallel pipelines.
Computer Vision Analysis: We deploy custom-trained models to detect:
Speech & Language Processing: Converting audio to text, we analyze:
LLM Integration: Advanced language models synthesize all data streams to:
CreatorView directly addresses the industry's most critical vetting challenges. The system flags potential risks by analyzing historical content patterns—exactly the kind of comprehensive review that marketing experts recommend but struggle to execute manually.
Preventing Crisis Before It Starts:
As the Ad Age crisis guide (PDF) warns, brands must be "careful when selecting a brand spokesperson: if they become controversial, erasing them from your brand can be difficult, from removing social posts to re-designing and printing promotional materials and signage." CreatorView's AI-powered analysis helps brands avoid these costly mistakes before they happen.
CreatorView generates detailed reports that would typically take analysts days to compile. These include content categorization, audience engagement patterns, collaboration history, and risk assessments—all backed by specific content examples and timestamps.
Perhaps most innovatively, CreatorView's chat interface allows marketing teams to brainstorm campaign ideas grounded in the creator's actual content history. Instead of generic suggestions, the system proposes authentic collaborations that align with proven content themes and audience preferences.
An upcoming feature the team is working hard on will introduce intelligent matching scores that quantify brand-creator compatibility across multiple dimensions. This advanced capability will analyze a creator's content history against brand guidelines, values, and target demographics to generate alignment scores that go beyond simple risk assessment.
The system will evaluate:
Content Style Match: How the creator's production quality, aesthetic choices, and presentation style align with brand identity—analyzing lighting, editing sophistication, and visual composition patterns.
Audience Demographics: Cross-referencing the creator's actual engaged audience against brand target markets, identifying overlap in age, interests, geographic location, and purchasing behaviors.
Values & Messaging: Using LLM analysis of thousands of statements, visual cues, and content themes to determine authentic alignment between creator values and brand positioning.
Collaboration Authenticity: Predicting how naturally a brand partnership would feel to audiences by analyzing historical content patterns, helping prevent the "forced sponsorship" feel that damages both creator credibility and brand perception.
When launched, marketing teams will receive detailed scorecards with specific recommendations like "High alignment for lifestyle content, moderate for direct product promotion" or "Authentic fit for sustainability messaging based on 47 relevant historical posts." This data-driven approach will replace gut feelings with evidence, enabling confident partnership decisions at scale.
The difference between successful and disastrous creator partnerships often comes down to thoroughness in the vetting process. Industry guidance from Ad Age's Crisis Marketing Toolkit (PDF) emphasizes several critical principles that CreatorView automates:
Cultural Context Analysis: "A creator's reputation must be evaluated through the lens of current social and political climates." CreatorView's LLM integration continuously analyzes content against evolving cultural sensitivities, flagging potential issues that might be acceptable today but problematic tomorrow.
Alignment Over Fame: Experts warn that "selecting a celebrity for their popularity rather than their alignment with brand values can yield short-term attention at the expense of long-term trust." Our AI Brand Alignment feature quantifies this fit, measuring compatibility across content style, values, audience demographics, and collaboration authenticity.
Comprehensive History: Rather than relying on recent posts or simple keyword searches, CreatorView examines "a creator's full online history, reputation and audience sentiment"—processing years of video, audio, images, and text to build a complete risk profile.
Consistent Standards: Unlike manual reviews that vary by individual bias, CreatorView applies the same rigorous analysis to every creator, ensuring "consistency across reviewers" and eliminating subjective blind spots.
By transforming days of manual research into minutes of AI-powered analysis, CreatorView enables brands to maintain both speed and thoroughness—no longer forced to choose between campaign agility and comprehensive vetting.
Since launching CreatorView.ai in late 2024, GLOW Agency has transformed their creator vetting process:
The platform has already analyzed over 50,000 hours of content, identifying partnership opportunities and risks that human reviewers consistently missed. In an industry where a single talent crisis can cost millions in lost revenue and years of reputation repair, CreatorView's preventative approach is transforming how agencies protect their clients.
As of November 2025, GLOW has been using CreatorView with major brands including Major League Soccer (MLS), Paramount+, leading sports entertainment media companies, and more—helping them navigate the complex landscape of influencer partnerships with confidence.
CreatorView represents a new paradigm in how brands and agencies approach influencer marketing. By combining multiple AI technologies into a cohesive platform, we're not just automating existing processes—we're enabling entirely new capabilities for understanding and leveraging creator content while protecting brands from increasingly common talent-related crises.
The advertising industry is at an inflection point. As Ad Age notes (PDF), "brands no longer own the narrative—audiences do." In this environment, thorough vetting isn't just best practice—it's business-critical infrastructure. Every partnership carries potential risk, and manual review processes simply cannot keep pace with the volume and complexity of modern creator ecosystems.
As social media platforms continue to evolve and content volumes explode, AI-powered tools like CreatorView will become essential infrastructure for the advertising industry. The choice is no longer between speed and thoroughness, between campaign agility and comprehensive risk assessment. CreatorView delivers both, transforming creator vetting from a bottleneck into a competitive advantage.
We're excited to continue developing this technology and exploring new applications of AI in marketing and brand safety—helping agencies and brands navigate the complex, high-stakes world of influencer partnerships with confidence and precision.
Visit CreatorView.ai or contact the team at hello@creatorview.ai
CreatorView is a collaboration between Laan Labs and New York Creative Agency
GLOW Agency, combining deep technical expertise with advertising industry insight to solve real-world marketing challenges.
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