Content and brand
Who shows up when you do not
Share of voice in AI answers, brand by brand and engine by engine, with the denominator in front. Plus the list of competitors the models recognise and you did not have on file.
- Share of voice with its denominator, never a bare percentage
- Competitors the models detect, including ones you did not know
- Breakdown by engine: where you win and where they beat you
The problem
- You know you barely show up, and you do not know who takes the place you do not.
- The models recommend a company nobody on your team had heard of.
- Your share of voice is sixty per cent and it turns out to be three mentions.
A share of voice with no denominator is a decorative figure.
How it works
The comparison is valid because brands are measured in the same answers, not in separate reports.
- 1
Everyone in the same answer
There is no separate sweep per brand: who appears in each answer of the same sweep is counted. It is the only way the comparison means anything, because the model, the country and the question are identical for everyone.
- 2
The ones you did not know are discovered
Besides the brands you declared, every brand the model names in your category is recorded. That is where the competitors missing from your list appear, the ones eating your ground for a year.
- 3
The denominator comes first
Share of voice is always shown alongside presence rate. Sixty per cent share over five answers and forty over three hundred are not comparable, and presenting them together without saying so is the category's commonest trick.
What you get
A comparison table that holds up under close inspection.
- Share of voice and presence per brand, on the same row and with the same denominator.
- The emerging brands the model recognises and you had not declared.
- The per-engine breakdown, because winning in one and losing in another is different information that an average hides.
Measure before you pay anything
The scanner runs 10 real responses in about 60 seconds. No signup, no card. If the number it returns tells you nothing, do not buy.
Measure my brandWho it is for
- Anyone who must justify investment against a specific competitor.
- New categories where nobody yet knows who rules.
- Agencies presenting a comparison that must survive the awkward question.
It is not for you if...
It is not for you if you do not yet have a stable question set. Comparing brands with questions that change monthly produces pretty charts that mean nothing.
An honest comparison
| By hand | With Citenza | |
|---|---|---|
| What it costs you | Asking about your brand and theirs in two separate conversations. | Every brand counted within the same answers. |
| The method | Two different contexts: the comparison is invalid and looks valid. | Same model, same country, same question and the denominator in view. |
| Repeating it next month | And you only see the competitors you already knew. | And the ones you did not know were competing with you appear. |
Availability by plan
Available from Starter with a small number of declared brands, widened on Pro and Agency. Emerging competitor detection costs nothing extra: it comes from the same sweep you already ran.
Honest questions
- How exactly is share of voice counted?
- Mentions of your brand over total brand mentions in the sweep's answers. The formula is published in the methodology with a worked example. The formula is not the important part: what matters is that it always travels with the absolute count, so you can judge whether the percentage supports anything.
- Can I watch a company that is not a direct competitor?
- Yes, and sometimes it is the most useful thing. In many categories whoever takes the recommendation is not your usual competitor: it is a publisher, a comparison site or a manufacturer answering the question before you do.
- What if a competitor has a generic name?
- That is the classic problem, and it is solved as with your own brand: aliases and exclusions in its record. A brand named like a common word and left ambiguous contaminates the whole comparison, and the dashboard warns when it detects that risk.
- Does it tell me why they get recommended?
- It tells you how much and where, not why. The why is in the pages the model cited, and comparing them with yours is another job with its own tool. Confusing the count with the explanation leads to changing things that were not the problem.
Find out who you really compete against
The free scan already returns the brands the models name in your category.