Introducing Perception: See how AI describes your brand
A mention doesn't tell you what the user heard. Perception does.
AI already mentions your brand. But how do you know if what it says is actually correct?
More often than not, that's the more important question and until now, almost impossible to answer systematically.
Today, we're launching Perception.
A mention isn't the win. The description that comes with it is.
When AI recommends three brands for a category and yours is one of them, the mention isn't the only outcome that matters. The description is.
"Premium, durable, trusted by professionals" lands very differently from "expensive, hard to find, sometimes inconsistent." Both are mentions. Only one wins the customer.
Most AI tracking stops at visibility. You learn that you appeared, how often, and where you ranked. You don't learn what the answer actually said about you, which strengths got reinforced, which weaknesses got amplified, or who AI thinks you're for.
Perception closes that gap.
Six categories. Every attribute sourced.
Across thousands of daily LLM responses about your brand, Perception extracts the language AI uses to describe you. Adjectives, comparisons, recommendations, pricing language - all captured and organised into six categories:
- Descriptors - the general language AI uses to characterise your brand
- Strengths - what AI consistently presents as your advantages
- Weaknesses - what AI presents as your downsides
- Products & Services - what AI associates your brand with offering
- Recommended For - the audiences AI suggests your brand suits
- Pricing Perception - how AI describes your price positioning
Every attribute is traceable back to the exact LLM answer it came from - which model, which market, which topic. Qualitative data with a quantitative audit trail.
The Perception Map: the attributes that come up together
A list of attributes tells you what AI says about your brand. The Perception Map tells you how those attributes connect - the pairs and clusters that consistently appear in the same answer.
Because "premium" on its own is positive. "Premium" paired with "outdated" is a warning. Same word, very different story.
If you sell running shoes, you can finally know whether AI is describing your latest release as premium and durable, or cushioned but overpriced. If you run a hotel, you can see whether AI pairs you with stylish design and great location, or thin walls and slow service.
Same attributes in isolation. Very different stories when you see them together.
Already running, on the data you already have
Perception runs on the same daily LLM answers as the rest of GetMentioned. No new prompts. No new setup. Just a new layer of analysis on data we already have.
If you're already tracking with GetMentioned, Perception is already working. If you're new, you'll see your first attributes within a day of starting.
Available now to every new and existing GetMentioned customer.