Monitoring across several AI systems
The same question runs repeatedly across different engines. GeoTopX records each answer with its date, engine and version, because a single answer is not a measurement.
The evidence and decision layer for brand visibility in AI answers
GeoTopX asks generative engines what your customers ask, preserves every answer as reviewable evidence, and shows where your brand appears, where it disappears, and what changes that.
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Share of answers
38%
± 4,2
Runs
360
Cited sources
147
| Brand | Share of answers |
|---|---|
| Your brand | 38% |
| Competitor A | 26% |
| Competitor B | 21% |
| Competitor C | 15% |
Illustrative data Example of the GeoTopX panel. Share of answers across 360 runs, with the variation interval beside each value. Illustrative figures.
The same question runs repeatedly across different engines. GeoTopX records each answer with its date, engine and version, because a single answer is not a measurement.
How much of the conversation is yours and how much belongs to competitors, with the sample size and the run-to-run variation always visible beside the number.
A consolidated index per brand, product and category, always accompanied by the components that produced it. No number appears without the arithmetic behind it.
Who appears in your place, in what context, and backed by which sources. Comparison runs over the same questions and the same period.
Which pages were cited or observed alongside each answer, with the address preserved. You see what supports the answer, not only its text.
The tone your brand is described in and the subjects it sits next to, with the original excerpt available for checking.
What on your site helps or hinders reading by generative engines and search engines, item by item, with the test behind each conclusion.
Cortex maps the differences between models and estimates the likely impact of a change before you make it, always with the confidence level stated.
Every recommendation says what to do, why, and which evidence prompted it. None suggests an action without pointing at the data behind it.
From the observed answer to the final report, every step stays reviewable: preserved artifact, normalized observation, metric, recommendation.
Brand, products, categories and competitors. And the questions your customers actually ask.
Questions run repeatedly across several generative engines. Every answer is preserved as an artifact, with engine, version and timestamp.
Answers are normalized and turned into metrics with the sample size, variation and confidence level stated.
You get recommendations tied to the evidence that prompted them, and you can walk back from a recommendation to the original answer.
Most tools in this category return a number. GeoTopX returns the number and the whole path to it: the observed answer, the preserved artifact, the normalized observation, the metric and the recommendation. Every link stays reviewable, and the uncertainty appears next to the result instead of hiding behind a decimal place.
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