More than one AI system
Provider and model provenance remain explicit, so a result from one engine is never presented as the whole market. Comparing systems reveals where your signal is consistent and where an answer depends on a particular model.
Coming soon
Be found.
Be understood.
Be chosen.
Maieta shows how AI systems perceive your organization — where your signal is strong, where meaning gets lost, and what to improve so you are more likely to be discovered, trusted and recommended.
Request early testing →
AI Visibility Audit
Discover how AI systems see and understand your organization.
Content Optimization
Strengthen structure, meaning and evidence for AI discovery.
AI Recommendation
Improve the signals that support trusted recommendations.
Track & Improve
Measure visibility over time and focus improvements where they matter.
Four dimensions, one Match.
Discover, Recognize, Trust and Recommend are independent measures. Match combines those four engine results under a versioned policy and stays outside the dimension set.
01
Discover
Can AI systems reliably find your organization and its useful evidence?
SURFACE
02
Recognize
Do they correctly understand who you are, what you do and for whom?
IDENTITY
03
Trust
Is there enough credible evidence to support confidence in the answer?
EVIDENCE
04
Recommend
Are you likely to be suggested, cited or selected over alternatives?
CHOICE
Nature gives us the operating model.
The plant is your organization. The ants are specialized AI engines. The surrounding ecosystem is the evidence, structure and context connecting the two. Maieta measures the relationship through four independent dimensions and the separate Match aggregate.
How Maieta thinks
Symbiosis, not gaming.
Like a healthy plant and its supporting ecosystem, stronger AI visibility comes from useful structure, clearer meaning and credible evidence. Maieta measures the relationship instead of chasing superficial tricks.
OBSERVE
See what AI systems actually perceive.We make the hidden interpretation layer visible: entities, claims, evidence and gaps.
UNDERSTAND
Separate weak signal from weak substance.Maieta distinguishes discoverability problems from identity, relevance and trust problems.
IMPROVE
Strengthen the ecosystem around the organization.Recommendations focus on durable clarity and evidence, not platform-specific manipulation.
AI visibility, explained
What it means to be found, understood and chosen.
Being found means the right public pages and evidence can be discovered. Being understood means AI systems identify the right organization, services, audiences and locations. Being chosen depends on credible, current evidence that supports a useful recommendation. Maieta connects those stages to actions instead of hiding them inside one opaque score.
Evidence before advice
Every finding starts with observable public material: pages, entities, claims, structure and third-party proof. Recommendations stay linked to that evidence, making the reason for each change clear and reviewable.
See the method →Current state and history
A single audit provides a baseline. Repeated runs show how Discover, Recognize, Trust and Recommend change over time, while preserving the engine and policy context needed to make comparisons honest.
Four independent dimensions
Discover asks whether useful evidence can be found. Recognize checks identity and meaning. Trust evaluates credible support. Recommend measures whether that evidence can justify selection for a relevant need.
Review the dimensions →Match stays separate
Match combines the available four-dimension results under an explicit, versioned policy. It remains outside the radar geometry, so the aggregate cannot distort the independent dimensions it summarizes.
Priorities teams can own
Maieta separates content, technical and evidence gaps, then explains business impact and implementation direction. Executives see priorities; specialists keep the diagnostic detail and provenance needed to act.
Discuss an audit →Grow a signal AI systems can understand.Maieta is preparing a private early-access program for organizations that want a clearer view of how AI-driven discovery sees them.Request access →