LONDON / NEW YORK — May 27, 2026 — Signal AI, the global leader in reputation and risk intelligence, today announced the general availability of AI Citations, a new capability within its readership data platform, formerly Memo, that reveals how brands appear in AI-generated answers and which earned media articles drive that visibility. With AI Citations, PR and communications teams can, for the first time, systematically track, benchmark, and influence their brand narrative across leading Large Language Models (LLMs), including ChatGPT, Gemini, and Perplexity.
The way consumers find information is fundamentally shifting. Industry data shows that 80-90% of LLM responses rely on earned media, news articles, analyst coverage, and third-party publications, rather than a brand’s owned content. Yet the current generation of GEO and AI search optimisation tools is built almost entirely around owned content: they advise brands to rewrite website copy, restructure blog posts, and adjust metadata in the hope of influencing LLM outputs. That approach addresses, at most, the 10-20% minority of what LLMs actually cite. The 80-90% earned media majority has remained invisible and unmeasured.
AI Citations addresses this gap directly. The capability provides four core metrics:
- Brand Visibility Score: the percentage of AI conversations in which a brand appears, which, paired with readership data, quantifies the downstream impact of earned media.
- Focal Mentions: a count of total citations for a brand name and the number of articles cited, benchmarked against direct competitors.
- Top Prompt Categories: a grouping of the narrative themes users most frequently ask LLMs about, surfacing the full prompts and AI responses that trigger brand citations.
- Top Cited Publishers: a leaderboard of the domains LLMs treat as trusted sources for brand information, enabling teams to shape their earned media strategy toward the outlets AI models actually rely on.
AI Citations is made possible by Signal AI’s acquisition of Memo, combining industry-leading reputation intelligence with the world’s only platform that provides direct readership data from publishers. Viewing AI Citations alongside real readership figures allows communications teams to see not only what the AI says about their brand, but why — tracing citations back to the specific articles and publishers that carry the most weight with LLMs and human readers alike.
The launch comes as Generative Engine Optimisation (GEO) emerges as the new frontier of search strategy. Signal AI positions AI Citations as the essential measurement layer that makes GEO actionable: without knowing which publishers LLMs trust and which narratives drive visibility, any optimization effort is based on guesswork. AI Citations provides the scouting report; GEO becomes the game plan built on top of it.
“The conversation in the market has been almost entirely about optimising owned content for LLMs and that matters, but it’s only a fraction of the picture,” said Karlie Santucci, Chief Customer Officer at Signal AI. “What we found with customers at both Memo and Signal AI is that the real question is: which earned media does the AI actually trust, and what is it saying about us? Without AI Citations and readership data, GEO is just guessing what to optimise. You need the measurement before the strategy can work.”
AI Citations is now generally available as part of the Signal AI readership data platform.
Organisations interested in learning more can visit https://signal-ai.com/insights/a-better-way-to-track-llm-brand-mentions-with-ai-citations/ or request a demo at signal-ai.com.
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About Signal AI
Signal AI is a global leader in AI-driven reputation and risk insights. The company serves over Fortune 500 companies, ingesting and transforming the world’s data across 226 markets and 120+ languages to navigate industry trends, manage reputational shifts, and mitigate risks. Learn more at signal-ai.com.
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