Beyond media coverage: Rethinking brand visibility in the age of LLMs
At Auxipress, we have analyzed how generative AIs are redefining brand visibility and why traditional media monitoring and analysis are no longer sufficient. Auxipress also demonstrates how we can provide solutions to help you master this new type of coverage.
Indeed, we have been supporting you for years in understanding media visibility. Today, we are extending this expertise to the strategic analysis of AI-driven environments. Because the question is no longer just about your share of voice, but whether your brand is actually part of the answers generated by LLMs.
LLMs & brand visibility: Are you present in the answers that matter?
For years, media analysis has focused on press, web, and social media. These channels remain essential. But today, a new layer of influence is emerging: responses generated by LLMs. The issue is simple: AI-generated recommendations are already influencing consumer decisions, while most brands have no visibility into whether they are present or absent in these answers.
We are entering a new era. Users still search via engines such as Google, Bing, or Yahoo, but they now also directly query conversational AIs such as ChatGPT, Perplexity, Gemini, or Claude. They no longer browse through a list of links: they receive a synthesized, structured, and prioritized answer. LLMs are therefore becoming a fully fledged channel of influence and a new strategic arena for reputation management.
In this white paper, we analyze the complementarity between traditional media monitoring and the analysis of LLM-generated responses. We highlight brands’ actual presence in these answers, the dominant narratives associated with them, as well as the AI-specific mechanisms of selection, retention, and prioritization.
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