PlatformBrand Perception
Centium is the AEO and GEO platform for brand perception. Every time ChatGPT, Gemini, Claude, Grok, or Perplexity mentions your brand, Centium captures the language they use. We index it, group similar themes, score frequency, and assign sentiment, so you know the words AI puts in your mouth before your customers see them.
Centium captures every descriptor, attribute, and association AI uses about your brand at the phrase level, then groups paraphrases into themes so you see one signal instead of dozens of restatements.
Each theme is weighted by how often AI surfaces it and tagged with sentiment so you know what to defend, what to amplify, and where the gap sits between your positioning and the words AI actually uses, refreshed every cycle so you watch the language shift week over week.
AI talks about your brand differently depending on the question. When it’s recommending you in a category answer, the language tilts positive. When a prospect researches you directly, the same models surface friction the recommendation context never showed. Toggle to see both.
| Theme | Frequency |
|---|---|
Exceptionally Soft Fabrics | |
Versatility (Gym-to-Street) | |
Modern Minimalist Design | |
Technical Performance Fabrics | |
Comfort-Focused Design | |
Sustainability & Eco-Conscious | |
Rapid Growth & Rising Popularity | |
Men's & Unisex Focus | |
Durability & Quality | |
Travel-Friendly | |
Popular Core Products (Joggers/Shorts) | |
Premium Price Point |
Most teams only see the recommendation view, where AI is on its best behavior. The brand view exposes pricing concerns, sizing gaps, awareness issues, and stock complaints that quietly shape your conversion rate.
Recommendation answers tend to bury the friction. Direct brand research surfaces it. Centium shows you both views so you can see what your prospects actually hear when they go looking.
Perception updates every cycle, and every prior cycle stays archived. The dashboard becomes a calendar of every report ever run for your brand.
Rewind to any past snapshot to see exactly which themes AI used at that point in time, the sentiment they carried, and how the language has shifted between then and now.
Every time ChatGPT, Gemini, Claude, Grok, or Perplexity says something about your brand, the language is captured at the phrase level alongside the prompt that produced it.
Each descriptor is logged with the model, the prompt category, the recommendation context, and the answer it appeared in.
Paraphrases roll up into one theme, so dozens of restatements become one signal you can act on instead of noise you have to filter.
Each theme is weighted by how often it surfaces and tagged positive, neutral, mixed, or negative, with separate views for category recommendation and direct brand research.
AI brand perception is the set of themes, descriptors, and sentiment that AI models use when they describe your brand. Centium captures every descriptor, attribute, and association at the phrase level, groups paraphrases into themes, and scores each theme for frequency and sentiment so you see one signal instead of dozens of restatements.
Centium tracks brand perception across the five major AI models: ChatGPT, Claude, Gemini, Perplexity, and Grok.
Through a four-stage process. Capture every mention at the phrase level. Index each descriptor with the model, prompt category, and recommendation context. Group paraphrases into themes. Score each theme for frequency and tag it for sentiment.
Centium tracks four predictive pillars and one actual pillar. The predictive side maps what AI would say about your brand at scale: indexing (whether AI models have learned about you from training data), visibility (whether they mention you in answers), sourcing (which websites they cite), and perception (the themes, descriptors, and sentiment they use when describing you, covered on this page). The actual side is attribution: real sessions, purchases, and revenue from AI-referred traffic, pulled from your Google Analytics. See Indexing, Query Fan-Out, Sources, and Attribution for the full set.
Centium offers update cycles on a weekly, bi-weekly or monthly cadence. See pricing for plans. Every prior cycle stays archived, so the dashboard becomes a calendar of every report ever run for your brand. Rewind to any past snapshot to see exactly which themes AI used at that point in time and how the language has shifted since.
The themes, the frequency, the sentiment, and the gap between recommendation and direct research. Captured on a cadence across every major AI model, so you see the language shift before it costs you a sale.
Our plans are based on how often you want fresh insights, intentionally built around how AI models move. New citations land in crawls within a week, and models retrain every few months. We measure enough to stay on top of shifts without being wasteful, and leave enough room between updates for you to do something about it.