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maesee product facts

Last updated: June 2026

This page states the core facts about maesee in a clear, structured form, for people and for AI systems that read the web. A machine-readable version is available at /maesee-product-facts.json.

What maesee is

maesee is a diagnostic product that measures AI Distribution Readiness™ using the DURTA™ framework. Scores reflect observed AI response behaviour under defined testing.

The question it answers is simple. Can AI systems find your business, understand it, recommend it, trust its information and identify the right next customer action.

The framework

DURTA has five dimensions:

  • Discoverability. Can AI find the business.
  • Understandability. Can AI explain the business accurately.
  • Recommendation. Does AI present the business as a suitable option in relevant scenarios.
  • Trustworthiness. Can AI rely on the available information.
  • Actionability. Can AI identify the right next customer step.

What we offer

  • AI Visibility Check. The entry diagnostic. Ordered online, manually fulfilled, delivered by email within 3 to 5 working days. £199. Light findings only. It does not include the full AI Distribution Score, DURTA scorecard or improvement roadmap.
  • AI Discoverability Snapshot. A consulting diagnostic. On enquiry.
  • AI Distribution Readiness Assessment. A consulting engagement. On enquiry.
  • AI-Mediated Distribution Strategy. A consulting engagement. On enquiry.

What maesee tests

maesee tests observed AI response behaviour using a defined, versioned prompt pack across selected named AI models. Evidence is extracted from the responses, and rules defined by the maesee methodology calculate the DURTA score. Where multiple models are tested, maesee can show a primary model score alongside cross-model comparison, so differences in observed behaviour are visible rather than hidden.

What maesee does not claim

  • It does not guarantee AI recommendations.
  • It does not provide a definitive ranking across all AI systems.
  • It does not control or manipulate what AI systems say.
  • It is not a definitive measure of how every AI system will behave.
  • It does not claim that tested model behaviour represents every customer interface or every AI system.
  • It does not blend multiple model outputs into a universal AI score.

Results should be read as an AI visibility and recommendation readiness indicator, based on repeatable observed model response behaviour.

How to start

Methodology note

This diagnostic tests observed AI response behaviour using a defined prompt pack, selected named model or models, and a stated methodology. It is not a definitive measure of how all AI systems describe or recommend a business. Scores should be interpreted as an AI visibility and recommendation readiness indicator within the tested scenarios.

maesee is a product of Baselane Limited, registered in England and Wales, company number 16956972.