PlatformBrand Perception

how AI describes your brand, in its own words.

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.

01 / Themes

every adjective AI says about you.

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.

02 / Toggle

recommendation vs. direct research.

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.

Brand Perception
How AI describes Demo Athletic when it’s recommending the brand inside category answers (e.g. "best activewear brands for running"). Skews positive.
CategoryBrand
Exceptionally Soft Fabrics|Modern Minimalist Design|Comfort-Focused Design|Rapid Growth & Rising Popularity|Durability & Quality|Popular Core Products (Joggers/Shorts)|Exceptionally Soft Fabrics|Modern Minimalist Design|Comfort-Focused Design|Rapid Growth & Rising Popularity|Durability & Quality|Popular Core Products (Joggers/Shorts)|
Versatility (Gym-to-Street)|Technical Performance Fabrics|Sustainability & Eco-Conscious|Men's & Unisex Focus|Travel-Friendly|Premium Price Point|Versatility (Gym-to-Street)|Technical Performance Fabrics|Sustainability & Eco-Conscious|Men's & Unisex Focus|Travel-Friendly|Premium Price Point|
ThemeFrequency
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
Positive
Neutral
Mixed
Negative

the gap is where the work is.

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.

Sentiment shift · category → brand
Premium Price Point
neutralnegative

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.

View Archive
Current
Apr 30, 2026
Apr 16, 2026
Apr 2, 2026
Feb 14, 2026
Feb 7, 2026
Jan 31, 2026
03 / Archive

every cycle, on the record.

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.

04 / Method

how the perception is built.

01Capture

every mention.

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.

02Index

log the language.

Each descriptor is logged with the model, the prompt category, the recommendation context, and the answer it appeared in.

03Group

cluster the themes.

Paraphrases roll up into one theme, so dozens of restatements become one signal you can act on instead of noise you have to filter.

04Score

frequency + sentiment.

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.

FAQ

questions, answered.

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.

See your own brand perception

know what AI says
about your brand.

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.