Introducing rf.aio: Ruder Finn’s Innovative Solution for Brand Optimization in LLMs

On November 19, 2024, Ruder Finn, a leading independent global communications and marketing agency, unveiled rf.aio, its innovative large language model (LLM) optimization solution developed in collaboration with influenceAI. This proprietary tool is designed to monitor and optimize brand and product mentions across public LLMs, supporting client marketing and reputation strategies. rf.aio integrates automated LLM monitoring and remediation through a cutting-edge AI platform by influenceAI, a member of Ruder Finn’s AI Advisory Council.

As LLMs like OpenAI’s ChatGPT, Anthropic’s Claude, Google’s Gemini, and Meta’s Llama become the next frontier of search, rf.aio addresses the growing reliance on AI for answers. The solution evaluates LLM responses to brand-related queries, analyzing factors like awareness, accuracy, brand affinity, and amplification. Based on insights, rf.aio creates and deploys corrective content, training public models to emphasize trusted and accurate sources, correcting biases, and combating misinformation to enhance brand perception.

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“At Ruder Finn, we’re always focused on the future,” said Kathy Bloomgarden, CEO of Ruder Finn. “rf.aio helps our clients listen to and influence LLM-generated responses at scale, ensuring their brands are represented accurately as LLMs dominate search behavior.”

Developed by Ruder Finn’s rf.TechLab, the company’s analytics and emerging technologies incubator, rf.aio builds on a legacy of innovative solutions in AI and data science. Tejas Totade, Ruder Finn’s CTO, emphasized the stakes for brands, noting, “With millions relying on LLMs daily, brands can’t afford inaccuracies. rf.aio allows brands to introduce accurate, brand-positive content into the information ecosystem, steering future AI responses.”

This launch aligns with Ruder Finn’s commitment to AI-driven innovation, following the creation of its global RF AI Advisory Council, chaired by AI pioneer Zack Kass. rf.aio is already in use with several clients, marking a significant step in adapting to the evolving AI landscape.