One number, built from real AI answers. Here is exactly how.
Your Brand Score answers two questions every business cares about when customers ask AI assistants for recommendations:
Both come from the same place: real answers, stored and traceable. Nothing is estimated.
Each measurement round, we take your catalog of questions — built from your products, services, and how customers actually search — and ask them to each AI engine in your plan (ChatGPT, Google AI Overviews, Gemini, Claude, Perplexity), with web search on, exactly as a real user would. One question asked to one engine is one measurement.
Every answer is stored, so any number we show you can be traced back to the literal text that produced it.
For every answer, we grade what actually happened to your brand — because being the first recommendation and being a footnote are not the same thing:
| What the answer did | Credit |
|---|---|
| Named first in the answer | Most credit |
| Named further down | Good credit, less the lower you appear |
| Cited as a source, not named | Small credit |
| Not present | No credit |
Your Visibility score is the average across all of your measurements — no single question can dominate it.
AI answers naturally differ from day to day — ask the same question twice and you can get different recommendations. That is normal, and it is exactly why your score is the weighted average of your recent runs — the most recent ones count more — rather than any single run.
Your first run starts the score. From the second compatible run onward, every available result contributes; the baseline is marked as establishing until three runs have been completed.
You wouldn't change your SEO because of one search result. One run is a photo; several runs are a video. Ordinary back-and-forth cancels out, while a genuine change — new competitors, better content — shows up as a steady movement within a few runs.
Alongside your questions, every round asks a set of unbranded ones — questions like "Which firms are most trusted for this?" — so the engines reveal, in their own words, where you stand against your competitors. Each answer is scored across five stages:
Each stage is graded with partial credit — the same principle as Visibility: being called the clear leader counts for more than being listed among many, and winning a head-to-head outright counts for more than a tie. Your Perception score is the average across the stages. Each sufficiently measured stage contributes 5% of your Brand Score, up to 25% when all five qualify; one stage never occupies the whole perception allowance.
100 means your brand is named first and cited in every single measurement — perfection. In practice, scores live in bands: presence (named somewhere), position (named early), authority (named first and cited). We show you where you sit and how far the next band is, rather than implying a single point of precision.
If you edit your catalog — add or remove questions, pin new competitors — or your engines change, your recent history measures something different from today. The averaging window starts over, and the app tells you so.
Comparing "before you added 10 questions" to "after" isn't a trend — it's two different surveys. A reset isn't bad news; it's the score telling the truth about what it can and cannot compare.
Your Brand Score asks two things: do the AI engines show you (at least 75%), and how do they talk about you (5% per sufficiently measured dimension, up to 25%). It is built from real, stored answers, averaged over your recent runs on your current setup — so ordinary engine back-and-forth cancels out and only real changes move your number. Nothing is estimated, and nothing unmeasured is ever counted against you.