What happened
PeakMetrics, an AI-native narrative intelligence company, launched AI Perceptions in a press release dated September 17, 2026. The generative engine optimization (GEO) platform monitors brand favorability, key messages, trust signals, and competitive positioning across major AI systems, then traces which news stories, social posts, and other sources are feeding those AI-generated answers. It surfaces the top questions people ask about a brand, its products, and its competitors, tracks how AI perceptions shift over time, and benchmarks a brand against named rivals. CEO and co-founder Nick Loui said the goal is connecting the dots between traditional coverage and AI output: "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." The platform is aimed squarely at communications and PR teams rather than SEO specialists, treating AI answer engines as a fourth reputation channel alongside news coverage, social platforms, and owned content, and giving those teams a way to link a swing in AI sentiment back to a specific story or campaign.
Why tracking AI narratives is now a PR job
MagnetizeX builds founder visibility systems for B2B firms.
PR teams have spent the past two years measuring earned media the old way: placements, share of voice, sentiment in articles. AI Perceptions is built on the premise that none of that matters if you can't see what ChatGPT says when a prospect asks about you five minutes later. Michael Brito, Global Head of Data & Intelligence at Zeno Group, called out the platform's ability to "track the media and social narratives shaping a brand's reputation" alongside AI visibility, which is the real shift: PR and AI search monitoring are becoming the same function, not two separate reports. That convergence also changes what counts as a PR win: a placement that never gets picked up by an AI model's training or retrieval sources does less for a brand's AI narrative than a smaller story that does.
- Map one AI narrative back to its source this weekAsk ChatGPT and Perplexity what they know about your company, then trace any surprising claim back to the article, forum post, or review that likely fed it. You don't need a platform to do this once; you need a platform once you're doing it weekly across dozens of queries.
- Fold AI mentions into your next coverage reportMost PR reporting still stops at placements and impressions. Add a line for what AI systems say about the brand this month, even if it's a manual ChatGPT screenshot, so leadership sees the AI-narrative gap before a competitor's PR team gets there first.
- Pitch journalists on stories that AI models will actually citeAI systems favor primary, well-attributed reporting over aggregation. When pitching, prioritize outlets and formats, original data, named sources, direct quotes, that are more likely to get cited by name when an AI model summarizes the story later.
What to do this week
Run your company name through ChatGPT, Perplexity, and Google AI Overviews and screenshot every answer. Flag anything factually wrong or outdated, then send corrections through the channels you already control: your own site, a press page update, or a note to the outlet that published the source article. This is the manual version of what AI Perceptions automates, and it costs nothing but twenty minutes. If you work with an agency or freelance PR support, ask them to add this AI-narrative check to their existing monthly coverage report rather than treating it as a separate, billable project.