PeakMetrics launched AI Perceptions on September 17, 2026, a Generative Engine Optimization platform built for communications teams to track and improve how brands appear in AI-generated answers. As consumers and stakeholders turn to ChatGPT, Gemini, Claude, Grok, and Perplexity for information, those AI responses are now a frontline reputation risk - and the new tool connects what AI says directly to the news and social narratives driving it.
AI Perceptions is the first narrative intelligence platform to measure AI-generated brand perceptions alongside news, social media, and other online data in one core offering. Rather than treating GEO as a standalone search problem, it lets teams see which narratives are emerging, how they spread, when they surface in LLM responses, and what sources are shaping them.
How the platform connects narratives to AI output
Communications teams can track favorability, key messages, trust, and competitive positioning across multiple AI models. The platform identifies the top searched questions around a brand, product, or industry, then maps the citations and sources driving those answers. Teams can measure changes over time and benchmark against competitors.
"AI is becoming one of the first places people go to learn about a company, and what it says about your brand is being shaped by everything happening around you online," said Nick Loui, CEO and co-founder of PeakMetrics. "If a new narrative starts taking off in the news or on social media, we want teams to be able to see when that starts showing up in AI answers too. More importantly, they need to understand what's driving it and where they can actually do something about it."
A unified view of reputation and influence
The platform creates a connected view that follows a narrative across the information ecosystem. Organizations can benchmark AI perception before a campaign or media push, then track whether new coverage and messages change how AI models represent the brand afterward.
"What I like most about AI Perceptions is that it connects two areas we typically look at separately," said Michael Brito, Global Head of Data & Intelligence at Zeno Group. "We can track the media and social narratives shaping a brand's reputation and see whether and how those narratives are making their way into AI search engines. That gives us a much more holistic view of reputation, particularly during a crisis or emerging issue." Brito added that GEO is "increasingly another lens into reputation and how narratives move across the broader information ecosystem."
For communications professionals looking to build these skills, resources like the AI for Public Relations Specialists learning path cover the intersection of AI tools and reputation management.
Why this matters for PR and communications teams
AI-generated answers are no longer a separate channel to monitor. They are shaped by the same earned media, social conversation, and emerging issues that communications teams already manage. AI Perceptions gives teams a direct line of sight from those upstream narratives to the AI outputs that stakeholders see. That means PR efforts - media relations, messaging shifts, narrative campaigns - can be measured against a new benchmark: did they change what the AI says about the brand? For teams under pressure to prove impact, that connection between communications work and AI representation is a concrete metric that did not exist before. More broadly, it signals that AI for PR & Communications is expanding beyond content generation into reputation measurement and defense.
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