PlatformBrand Perception
how AI describes your brand, in its own words.
Centium is the AEO and GEO platform for AI brand perception and sentiment tracking. Every time ChatGPT, Gemini, Claude, Grok, Perplexity, or Google AI Mode 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.
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 your positioning and the words AI actually uses have drifted apart, refreshed every cycle so you watch the language shift week over week.
A theme name is only a headline. Open one and you get what the models said about it, written from the same answers that produced the theme, so you can see whether a flag is a handful of stray comments or a pattern worth acting on.
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
| Theme | Frequency |
|---|---|
Exceptionally Soft Fabrics | |
What the models said Models repeatedly single out the hand feel, describing the knit as brushed and buttery against the skin. Several responses say softness is the first thing reviewers mention. | |
Versatility (Gym-to-Street) | |
What the models said Most responses frame the pieces as working for a workout and the rest of the day without a change of clothes. Models mention gym sessions, errands, and travel together. | |
Modern Minimalist Design | |
What the models said Models describe clean lines, muted colorways, and minimal branding. Several note the look reads as understated rather than athletic, which is why it gets recommended for everyday wear. | |
Technical Performance Fabrics | |
What the models said Moisture-wicking and four-way stretch come up in most answers as standard across the range. Models position the fabric as genuinely technical rather than athleisure styling alone. | |
Comfort-Focused Design | |
What the models said Responses emphasize flatlock seams, tagless collars, and waistbands that models say hold without digging. Comfort is described as the organizing principle rather than one feature among many. | |
Sustainability & Eco-Conscious | |
What the models said Several models mention recycled fabrics and a stated commitment to lower-impact manufacturing. A few note the claims are more visible in marketing than in published detail. | |
Rapid Growth & Rising Popularity | |
What the models said Models describe the brand as newer and growing quickly, often citing its expansion from a single product line. Responses treat the trajectory as context rather than praise. | |
Men's & Unisex Focus | |
What the models said Models note the range began in menswear and still leans that way, with unisex pieces filling much of the catalog. Several mention the women’s selection is narrower. | |
Durability & Quality | |
What the models said Responses describe construction that holds its shape through repeated washes, with stitching called out specifically. A few models temper this by noting the range is too new for long-term verdicts. | |
Travel-Friendly | |
What the models said Models recommend the joggers and pants for flights, citing wrinkle resistance and hidden pockets. Several say the pieces look presentable on arrival rather than slept in. | |
Popular Core Products (Joggers/Shorts) | |
What the models said Joggers and lined shorts dominate the specific product mentions across answers. Models describe them as the entry point most reviewers recommend buying first. | |
Premium Price Point | |
What the models said Most models place the range above mass-market activewear and below luxury labels. In category answers the pricing is reported as a positioning fact rather than a complaint. | |
open a theme, read what they said.
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.
Every theme opens to what the models actually said about it, drawn from the same answers that produced the theme, so you can tell a stray complaint from a pattern worth acting on.
This is not one brand’s quirk. We measured the split across 110 brands. Positive perception themes fall from 88.0% in category search to 72.3% in brand search, and negative themes run close to nine times higher once someone asks about a brand by name.
Read the researchevery 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.
how the perception is built.
every mention.
Every time ChatGPT, Gemini, Claude, Grok, Perplexity, or Google AI Mode says something about your brand, the language is captured at the phrase level alongside the prompt that produced it.
log the language.
Each descriptor is logged with the model, the prompt category, the recommendation context, and the answer it appeared in.
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.
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.
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 six major AI models: ChatGPT, Claude, Gemini, Perplexity, Grok, and Google AI Mode.
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.
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.
Starting at $99/month