AI mentions your brand. But is what it says correct?
ChatGPT
Perplexity
Gemini
A mention doesn't tell you
what the user heard.
When AI recommends three brands for a category and yours is one of them, the win isn't the mention. It's the description that comes with it. "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.
From every answer,
the qualitative story.
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.
ChatGPTBrooks running shoes are premium and durable, best for marathon runners, but can feel overpriced.
We read every answer
Across thousands of daily LLM responses about your brand, Perception extracts the language AI uses to describe you. Adjectives, comparisons, recommendations, and pricing language are all captured.
Organised into six categories
Every attribute is sorted into one of six categories: Descriptors, Strengths, Weaknesses, Products & Services, Recommended For, and Pricing Perception. The structure makes a noisy qualitative dataset legible at a glance.
ChatGPTUSPerplexityUKGeminiDEEvery attribute, traceable to the source
Click any attribute and see the exact LLM answers it came from, which model, which market, which topic. Perception is qualitative data with a quantitative audit trail.
See your brand
the way AI sees it.
Six categories. Every attribute is sourced. The full qualitative picture, organised so a CMO and an SEO lead can read the same dashboard.
Descriptors
The general language AI uses to characterise your brand. The first impression a customer reads before they decide whether to click.
Strengths
What AI consistently presents as your advantages. The attributes you can amplify in messaging and trust to land.
Weaknesses
What AI presents as your downsides. The attributes to address through messaging, PR, or product changes, with the data to prove they're shifting.
Products & Services
What AI associates your brand with offering. Catch the gap between what you sell and what AI thinks you sell.
Recommended For
The audiences AI suggests your brand suits. Catch positioning drift before it costs you the customers you want.
Pricing Perception
How AI describes your price positioning. If you're "affordable luxury" and AI keeps calling you expensive, that's a messaging problem you can now see.
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. It surfaces the pairs and clusters that consistently appear in the same answer, so you can see the full picture AI is painting, not just the individual brushstrokes.
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 with thin walls and slow service. Same attributes in isolation. Very different stories when you see them together.
Find the narrative, not just the words
"Premium" on its own is positive. "Premium" paired with "outdated" is a warning. The Map surfaces these pairings so you understand the story AI is telling.
Spot the trade-offs AI assigns to you
Every brand has perceived trade-offs. The Map shows which strengths and weaknesses AI bundles together, so you know which trade-offs you're really competing on.
Drill down to the source
Click any connection in the Map and see the exact LLM answers where those attributes appeared together. Every pairing is auditable, end to end.
Got questions?
We have answers.
Sentiment scores compress everything into positive, negative, or neutral. Perception keeps the actual language AI uses and organises it into the six categories that map to how brands actually make decisions. You get the descriptors, not a number.
The six categories show you which attributes AI uses. The Perception Map shows you which attributes AI uses together, in the same answer. That's the difference between knowing your brand is described as "premium" and knowing whether "premium" is paired with "durable" or "overpriced."
No. Perception and the Perception Map run on the same daily LLM answers that power your visibility, sources, and competitor tracking. If you're already tracking with GetMentioned, Perception is already working.
Every day. As new LLM answers come in, new attributes are extracted and added to your dashboard. Trends are visible from day one and become statistically meaningful within a few weeks.
Yes. Every attribute and every connection in the Map is tagged with the model, market, language, and topic it came from. Filter by any of these to see how AI describes your brand in different contexts.