Known questions. Fixed frame.
You already know what to ask. MVM samples that frame consistently and reports how often a brand appears, which sources are cited and how different AI surfaces respond.
Precision, in detailMinimum Viable Metric
AIO / GEO / AEO visibility metrics
MVM is a category discovery tool for brand management and trend forecasting. We offer a tuned measurement suite that allows you to narrow in with great precision on one prompt category, or expand categories of discovery as confidence increases. We let you tailor your experiment to measure presence in the LLMs.
Seeking share of voice at AI models and beyond? We help measure:
- How successful is our past work?
- What does our next work look like?
Two ways to measure
Know the question? Measure it. Don’t know the field? Map it.
Sometimes you already know the questions and want to know how often a brand appears. Sometimes the harder question is what deserves measurement in the first place. Precision measures a known frame. Adaptive Field Mapping helps infer the frame.
Business problem. Evolving field.
You know the problem, not the whole field. MVM starts sparse and follows the evidence, expanding only where it is earned, to map where the brand participates and where it does not.
Adaptive, in detailA mature BI team may already know the questions; Precision can be the smarter buy. Adaptive is for the discovery problem.
What we measure
The context field that creates relevance.
AI systems answer inside accumulated context. A brand can become relevant even when nobody asked for it by name.
MVM measures that field, the contexts, competitors, localities, sources and meaningful absences around a business problem, not only the terms a customer started with. What a context field is
Pay only for what you need
Pay for evidence, not unused volume.
More observations are useful when uncertainty remains. They are waste when the answer is already stable. A fixed panel can be the smartest and most economical choice when the questions are known; adaptive investigation is valuable when discovery itself is part of the problem.
From answers to action
Turn AI answers into a strategy queue.
Both services end in action rather than dashboard accumulation.
Listen
Begin with real customer questions and business priorities.
Map
Expose the territories the answer field makes visible.
Test
Turn the strongest territories into content, media, audience, product or experience hypotheses.
Remap
Measure what strengthened, held, faded or newly appeared after intervention.
What you receive
Not another visibility score. A strategy surface.
Measurement
Brand presence, share and recurrence, differences between AI surfaces, citations and the source landscape, with the confidence behind each.
Discovery
Emerging contexts and use cases, geographic fragmentation, meaningful absences, and territory outside your starting assumptions.
Action
Content opportunities, media and audience hypotheses, product and experience questions, and the territories to monitor and remap.
We build enough evidence to show where a brand participates, where it does not, what remains uncertain and what deserves attention next.
Need a different measurement?
Tell us what you need to understand. We can help design a customized experiment around your question.