Blog > Agencies

The Scary Truth: AI Already Rewrites Your Brand Story Daily

66% of Gen Z asks AI for brand recommendations, but most agencies have zero visibility into how AI perceives their clients' brands. New research reveals AI creates negative brand halos & shapes buying decisions daily. Are you monitoring your clients' AI presence?

Risk Assessment Framework for AI in Marketing Agencies

A major sportswear brand recently launched an AI-generated campaign that claimed their shoes were "scientifically proven to increase vertical jump by 40%"—a complete fabrication that triggered FTC scrutiny and a $2.5 million settlement. This costly hallucination demonstrates why marketing agencies need robust AI risk controls. With over 50% of online queries projected to involve LLMs by 2025, the need for precise AI risk controls has never been greater. Marketing agencies face a critical challenge: managing the risks of AI tools while capturing their benefits. AI hallucinations—outputs that deviate from reality—can damage campaign performance and client reputation. In this article, we'll walk through five key steps: Risk Identification, Risk Analysis, Risk Evaluation, Risk Mitigation, and Monitoring & Continuous Improvement.

AI Hallucinations: How False Facts Can Damage Brand Reputation

When Google Bard confidently claimed the James Webb Space Telescope took the first image of an exoplanet during a promotional video in February 2023, it wasn't just wrong—it triggered a $100 billion drop in Alphabet's market value. This single AI hallucination demonstrated how artificial intelligence can damage brand reputation in seconds. Today, as AI systems become the go-to information source for millions, these confident fabrications pose a growing threat to your brand's carefully crafted narrative. Our research projects that over 50% of online queries will involve LLMs by 2025. Let's examine what hallucinations are, how they spread, and what you can do to protect your brand.

Perception Analysis vs Sentiment Analysis: The New PR Standard

Traditional sentiment analysis only captures surface reactions, while perception analysis reveals how audiences truly understand your brand through context, narrative framing, and competitive positioning. Discover why PR professionals need both metrics in today's AI-driven landscape where over 50% of online queries will soon involve language models.

The AI Blind Spot: What Social Listening Misses in PR

Perception is Reality: Why PR Agencies Need Multi-LLM Brand Monitoring

With 52% of Americans now using AI language models regularly, these systems actively shape how consumers perceive your brand. Is your PR agency monitoring and managing this new frontier of digital reputation? Learn how to implement effective multi-LLM monitoring with our comprehensive guide.