PlatformVisibility

measure how often AI recommends you.

Centium prompts AI hundreds of times about your categories, with the searches your potential customers make, to measure how often you’re mentioned. We surface your AI visibility, the exact brands that appear alongside you, and what you can do about it.

01 · Recommendation rate

what share of answers name you.

Your recommendation rate is the percentage of category prompts where AI names your brand, with no brand prompting to bias the answer. It is the core metric of Answer Engine Optimization (AEO), the discipline of getting named in AI answers. Filter by model to see where you are strong and where you disappear.

93%Athleisure
76%Activewear
75%Fitness
48%Athletic
15%Clothing
9%Running
02 · Prompts

the prompts behind the rate.

Every rate is built from real category prompts, each one run across every model. See which prompts named your brand and which models did it. The dimmed rows are blind spots, prompts where AI never mentioned you. You choose the categories and prompts, and you can change them whenever your strategy moves.

Prompts
View results from all tested prompts, highlighting searches that resulted in an AI mention of Demo Athletic Co.
PromptModels
03 · Model visibility

every model
sees you differently.

We treat each model as its own persona, with its own instincts and sources, so your visibility is never one number. See your recommendation rate in every model, filter to any category, and watch the arrows for how each shifted since last period.

Model Visibility
Recommendation rate by model, with change since last period.
04 · Competitor benchmark

where you sit,
against the brands you compete with.

We do not just measure you. We measure the whole competitive set in every category, so you see exactly who AI names alongside you, where you sit in the order, and how that order shifts as you put the work in.

The full set ranked by recommendation rate, in every category you track.
Your rank and how far you are from the brands above you.
New entrants flagged the moment models start recommending them.
Competitor Benchmark
Your brand vs. the competitive set, by category prompt.
RANK |6
HOKA
100%6
Salomon
91%2
Altra
78%1
Brooks
74%3
La Sportiva
69%4
Your Brand
64%11
Saucony
58%2
Nike
52%5
On Running
49%7
New Balance
41%1
Topo Athletic
36%NEW
ASICS
31%4
Inov-8
26%3
Free tool

see the categories
we would measure you in.

Visibility starts with the right categories. Plug in your website and Centium’s segment builder surfaces the categories and the real buyer prompts we would run hundreds of times to measure your recommendation rate. 30 seconds, no signup required.

Try the segment builder
Measured across every major model

see where you
actually stand.

Centium runs hundreds of category prompts across ChatGPT, Claude, Gemini, Perplexity, and Grok, then reports your recommendation rate, your rank against competitors, and how both move every cycle. Stop guessing how AI sees your brand.

Starting at $99/month

FAQ

questions, answered.

AI visibility is how often an AI model recommends your brand when someone asks about your category. Centium measures it as a recommendation rate: across hundreds of category prompts, the percentage of answers that name your brand. It is the unprompted, organic mention rate, not whether the model can describe you when asked directly.

Because visibility is about whether AI brings you up on its own. Buyers ask AI open questions like “best running shoes for flat feet,” and Centium prompts the category the same way, so your recommendation rate reflects genuine, unbiased visibility, not a brand description the model was led into. People do search brands by name too, and Centium measures that, but as perception and sourcing: what AI says about you and which sources it cites when someone looks you up directly. Visibility stays at the category level; the direct brand view lives in Brand Perception.

Yes. You choose the categories and prompts Centium measures, and you can adjust them any time your strategy shifts or you move into a new space. We keep them steady between scheduled updates so your trend stays comparable period over period, but the methodology is always yours to change.

AI answers are variable. Ask the same question twice and the set of brands can change. Think of each prompt as a coin flip: one flip tells you almost nothing, but hundreds of flips reveal the true rate. By running a large sample of category prompts, Centium smooths out that variability into a stable, accurate measurement you can track over time.

Visibility is measured across the major AI models buyers actually use: ChatGPT, Claude, Gemini, Perplexity, and Grok. Each model sources and reasons differently, so a brand can be strong in one and invisible in another. Every chart on the platform can be filtered by model so you can see exactly where you stand in each.

Each refresh cycle, Centium recomputes your recommendation rate and compares it to the prior period. The delta is the change in percentage points, by model and by category. It is how you see your work landing: a citation that gets picked up, a page that starts getting recommended, or a competitor pulling ahead. The work behind those shifts lives in Sources and Indexing, and Attribution tracks the real AI traffic your visibility earns.

Keyword rank tracking measures position on a results page. AI visibility measures whether a model recommends you at all, and how often, in a generated answer. There is no list of ten blue links to rank within. This is the discipline now called Answer Engine Optimization (AEO), or Generative Engine Optimization (GEO) on generative surfaces: being the answer AI gives, not a link it lists. Centium is built for how AI actually answers, which brands it names, which sources it pulls from, and how it fans one question out into the hidden searches behind it, shown in Query Fan-Out.

For every category you track, Centium measures the recommendation rate of the full competitive set, not just your brand. You see exactly who AI names alongside you, your rank in the order, and how that order moves each period. New entrants the models start recommending are flagged so nothing sneaks up on you.