Product
A system for measuring, explaining and improving how AI represents your brand.
M2 Visibility combines experimentation, statistics, source intelligence, recommendations and governance so teams can move from anecdotal screenshots to an operating discipline.
Measurement Engine
Run controlled, repeatable multi-model experiments with methodology, market, prompt and model configuration preserved.
AVS + Statistical Confidence
Summarize visibility without hiding uncertainty. Inspect components, intervals, sample quality and model stability.
Source Intelligence
Understand which sources support answers, where evidence is concentrated and where cross-model consensus emerges.
Prompt Intelligence
Organize questions by business importance, intent, funnel stage, persona and market so measurement reflects strategy.
Recommendations
Convert evidence into prioritized actions with owners, due dates, recurrence and measurable follow-up.
Automation & Alerts
Detect meaningful changes, recurring issues and operational conditions without asking teams to watch dashboards all day.
Designed around decisions
Not every visibility problem is the same.
Brand teams, SEO teams, reputation teams and executives need different slices of the same underlying evidence. The platform preserves one governed measurement layer while letting each function ask the questions that matter to them.
Competitive intelligence
See which brands win different intents, prompts and models instead of relying on a single share-of-voice number.
AI reputation
Identify risky framing, recurring negative narratives and the external sources repeatedly supporting those answers.
AEO / content strategy
Discover evidence gaps, owned-content weaknesses and source categories that influence grounded answers.
Executive visibility
Give leadership a governed view of AI visibility with methodology, confidence and operational accountability behind the headline score.
Go deeper than the feature list
The differentiator is the measurement architecture behind the interface.
Explore the methodology, AVS-2.0, STATS-1.0 and Source Intelligence as standalone product capabilities.
Bring the questions your customers ask AI.
A tailored demonstration is more useful when it starts from your brand, competitors, market and business-critical prompts.