What is maesee?

The shift maesee responds to

For years, businesses optimised for Google search, website conversion, app retention and marketplace ranking.

A new layer now sits between the customer and the business:

Customer → AI assistant → business

When someone asks an AI system for the best option for their needs, your business is either found, explained and recommended accurately, or it is missing, misunderstood or passed over.

Most businesses have no visibility into which of these is happening. maesee gives you that visibility.

The question maesee answers

Can AI find, understand and recommend your business?

To answer it properly, maesee breaks the question into five parts using the DURTA™ framework.

Each dimension is scored out of 20, giving an overall AI Distribution Score out of 100.

How maesee works

maesee does not ask an AI for a vague opinion about your business. It runs a structured, repeatable test and scores what it observes.

In simple terms:

1. You provide your website address.
2. maesee reads key sections of your website and builds a profile of your business.
3. A reviewer confirms the key details are correct.
4. maesee runs a defined prompt pack through selected named AI models, with a primary model used for the headline score.
5. It captures the responses and extracts observable evidence.
6. A defined set of scoring rules calculates your DURTA scores.
7. You receive a clear report with findings and practical recommendations.

The important principle is that maesee scores observed AI behaviour and evidence, not guesswork. Every score can be traced back to something the model actually did in testing.

What you get

You receive a clear, non-technical AI Distribution Readiness™ Report covering:

• your overall AI Distribution Score
• your five DURTA dimension scores
• the key findings
• how you compare against named competitors
• priority recommendations
• an AI-friendly fact sheet for your business
• a methodology note explaining how the test was run

What maesee is, and is not

maesee is a diagnostic. It tests observed AI response behaviour using a defined prompt pack, selected named AI models and a stated methodology. It is an indicator of AI visibility and recommendation readiness, based on repeatable observed model response behaviour.

It is not a definitive measure of how every AI system will describe or recommend a business, and it is not a way to control or guarantee what AI says.

It is a credible, repeatable way to understand where you stand and what to improve.

Why multi-model testing matters

Different AI systems may describe, compare or recommend the same business differently. maesee helps make those differences visible by running the same controlled prompt pack across selected named models. This gives businesses a more practical view of observed AI behaviour than a single response from a single system.

Where maesee fits

maesee is the product behind AI Distribution Readiness consulting work. It uses the DURTA framework to produce diagnostics and reports that support practical recommendations.

The simplest way to start is the AI Discoverability Snapshot.

If AI was asked about your business, what would it say?

maesee shows you where you stand, why, and what to do next.