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.
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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.
Five observations, one living signal.
Maieta follows the path from being visible to being recommended. Each dimension exposes a different point where AI systems can lose, distort or strengthen your story.
Discover
Can AI systems reliably find your organization and its useful evidence?
Recognize
Do they correctly understand who you are, what you do and for whom?
Match
Do your capabilities align clearly with the user’s actual intent?
Trust
Is there enough credible evidence to support confidence in the answer?
Recommend
Are you likely to be suggested, cited or selected over alternatives?
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 the same five value metrics.

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.
We make the hidden interpretation layer visible: entities, claims, evidence and gaps.
Maieta distinguishes discoverability problems from identity, relevance and trust problems.
Recommendations focus on durable clarity and evidence, not platform-specific manipulation.