A pharmaceutical company asks ChatGPT about its allergy medication. The AI responds with an article about FDA warnings on COVID-19 vaccines. That’s not a hypothetical — it’s a real example from Mobian’s analysis of how AI platforms describe brands, and it illustrates a problem most CMOs haven’t put on the agenda yet.
A pharmaceutical company asks ChatGPT about its allergy medication. The AI responds with an article about FDA warnings on COVID-19 vaccines. That’s not a hypothetical — it’s a real example from Mobian’s analysis of how AI platforms describe brands, and it illustrates a problem most CMOs haven’t put on the agenda yet.
Your brand has a narrative living inside ChatGPT, Claude, Gemini, and Perplexity. You didn’t write it. Your agency didn’t approve it. And there’s a reasonable chance it doesn’t match what your paid campaigns are saying.
That gap — between what a brand’s advertising communicates and what AI answer engines actually say about that brand — is the problem Time is now selling a product to solve. Whether the product delivers is a separate question. But the underlying problem is real, it’s measurable, and demand generation leaders would be making a mistake to treat it as someone else’s department.
## The Number That Should Get Your Attention
Mobian, the brand intelligence firm partnering with Time on this initiative, analyzed 750 brands and found that 17% of citations in AI search were either misaligned with the brand’s positioning or outright factually inaccurate. That’s roughly one in five major brands with a material disconnect between their intended narrative and what AI platforms serve up when someone asks about them.
For demand gen leaders running account-based programs, that number lands differently than it does for a brand team worried about reputation. Think about what it actually means in practice: a prospect researching your category — or your company specifically — asks Perplexity for a quick summary before a meeting. The answer they get pulls from sources you’ve never touched, emphasizes angles you’d never choose to highlight, and may contradict the very positioning your last campaign was built around.
That’s not a brand safety problem in the traditional sense. It’s a pipeline problem.
## What Time Is Actually Selling
Time’s GEO product — and the naming is worth addressing directly, since it has nothing to do with geolocation or the $22.8 billion location analytics market — is built around a specific diagnostic and remediation loop.
First, Time works with Mobian to analyze a brand’s advertising: what it’s saying, what tone it’s striking, what attributes it’s trying to own. Then, using tools from TollBit and ScalePost, Time cross-references that positioning against what ChatGPT, Claude, Gemini, and Perplexity actually say about the brand. The analysis generates up to 100 different prompts across platforms, tracking which sources and URLs each AI system cites in its answers. The output is a score — how closely do AI-generated responses match the brand’s own positioning?
Where there’s a gap, Time creates branded text and video content designed to close it. That content goes on Time’s own platform and on YouTube, and the publisher tracks how often it appears in subsequent AI answers.