Missing
Your business does not appear when a relevant buyer asks who to consider.
AI Distribution Readiness
Can AI find, understand and recommend your business?
Customers are increasingly using AI to discover options, compare businesses and decide who to consider.
maesee shows you how your business performs in those moments: whether you appear, how accurately you are understood, when you are recommended and whether AI can guide suitable customers towards the right next step.
Observed AI behaviour. Direct business evidence. Clear priorities.
See how maesee worksAI Distribution Readiness CheckIllustrative output
AI Distribution Score61/100
ConfidenceMediumSeparate from score
Buyer Behaviour
Appeared5/11
Shortlisted3/11
Recommended3/8
Recommendations in scenarios where the business is suitable.
AI Routing Readiness 6/10Agent Readiness 4/10
Example data, not a client result. Confidence is illustrative; report coverage is described separately from score.
The market shift
AI is becoming another route to your customer.
Your next customer may ask AI about their need before they visit your website, see an advert or search for your brand.
That creates new ways to lose consideration before you ever see the customer.
Misunderstood
AI describes the wrong offer, customer, use case or differentiator.
Passed over
Your business appears, but another option is recommended for a need you serve well.
Misrepresented
AI makes inaccurate, incomplete or unsupported claims about your business.
Unclear next step
AI identifies your business but cannot clearly explain what a suitable customer should do next.
What maesee shows you
See what happens when the buyer does not name you.
maesee tests defined buyer scenarios to observe how AI systems respond to needs your business serves.
You can see whether your business:
- appears in relevant conversations
- makes the consideration set
- is recommended when it is a suitable option
- is described accurately and for the right reasons
- has a clear route to the next customer action
You might find, for example, that AI explains your business accurately when asked about it directly but rarely includes it when a buyer asks who to consider.
That is a very different problem from simply being “visible” to AI.
Understand AI recommendation behaviourAppeared5/11
Shortlisted3/11
Recommended3/8Suitable customer scenarios
Top-three presence2/11
Suitability judgementCorrect
Representative scenario · illustrative summary
A suitable buyer comparing providers in your primary market.
Reason given: relevant offer and customer fit. A separate poor-fit scenario correctly did not recommend the business.
Observed presence and recommendation in tested scenarios, not rankings. Recommendation counts only scenarios where the business is suitable, so the total tested differs. Missing evidence is shown as unavailable.
More than AI visibility
Five questions build the wider picture.
Discovery
Does AI surface your business in relevant buyer scenarios?
Understanding
Does AI understand what you offer, who it is for and when it is relevant?
Recommendation
Does AI recommend your business appropriately for the right customer needs?
Reliability
Can AI represent your business accurately and consistently?
Action
Can AI help a suitable customer identify the right next step?
Together, these contribute to your AI Distribution Score out of 100. Confidence in the available evidence is reported separately.
Explore the AI Distribution Readiness FrameworkWhat you receive
A diagnostic you can actually use.
Your report brings the evidence together into a clear view of where you stand, what is happening and what deserves attention.
A clear scorecard
Your AI Distribution Score out of 100, with a breakdown across the five dimensions.
Buyer behaviour
See whether your business appeared, made the shortlist and was recommended in the scenarios tested, with representative examples.
Key findings and competitive context
Understand the most important gaps, inaccuracies and missed opportunities, including where relevant competitors or alternatives appeared.
Priority actions
Get practical recommendations linked to the evidence, so you know what to investigate or improve first.
Methodology and confidence
See what was tested, the named model and conditions used, and where evidence is strong or limited.
What you can do with it
Turn AI uncertainty into practical decisions.
The point is not simply to produce a score. It is to help you decide what to do next.
Sharpen your positioning
Identify where your offer, customer fit, use cases or differentiation are unclear or inconsistently represented.
Improve the information AI can work with
Find gaps in product facts, suitability information, proof points and source content.
Strengthen customer journeys
See where eligibility, quote, purchase, booking, contact or other next steps need to be clearer.
Prioritise investment
Give Marketing, Product, Digital and leadership teams a shared evidence base for deciding what needs attention now and what can wait.
Agent readiness
Recommendation is only useful if the customer can take the next step.
4/10
Highest observed capability
Agent-readable
Offer informationReadable
Suitability conditionsIncomplete
Primary actionContact route found
Priority improvement
Publish eligibility and required inputs alongside the action, so an agent can judge suitability before handoff.
Based on direct source evidence. A capability description, not a badge or a guarantee of autonomous completion.
AI systems are beginning to do more than answer questions. maesee also looks at whether your business information gives AI agents enough to understand your offer, establish basic suitability and identify an appropriate route forward.
That does not mean an agent must complete a transaction autonomously. In many journeys, a safe handoff to the customer or a person is the right outcome.
Explore Agent ReadinessWhy trust the diagnostic
Evidence behind the findings.
maesee looks at two things:
What AI says
How named AI models respond to defined buyer and diagnostic scenarios.
What your business makes available
The published information about your offer, suitability and customer journey.
- 01Structured evidence
- 02Validation
- 03Scoring rules
- 04Report
AI may assist evidence extraction. Defined rules calculate the score. Confidence stays separate.
The evidence is validated before defined scoring rules calculate the result. AI can help extract and analyse evidence, but it does not simply invent the final score.
Results apply to the stated models, scenarios and test conditions. They are diagnostic indicators of observed behaviour, not a universal AI ranking or guarantee of future recommendations.
Read the methodologyWays to start
Choose the depth you need.
AI Distribution Readiness Check
£495
A focused diagnostic for answering:
Where do we stand?
- AI Distribution Score /100
- Five-dimension scorecard
- Buyer Behaviour and representative scenarios
- Selected competitive context where observed
- Concise Agent Readiness
- Key findings and priority actions
- Digital report with methodology and confidence
AI Distribution Readiness Assessment
Full diagnostic · Expert-led
For organisations that need to go further:
Why are we performing this way, how do we compare and what should we change?
Adds deeper interpretation, richer Buyer Behaviour, full Competitive Intelligence, detailed Reliability and Agent Readiness, the AI Product Fact Sheet and more detailed recommendations.
Scope and pricing are agreed around the questions the Assessment needs to answer.
Explore the AssessmentThe £495 Check fee is credited in full towards the Assessment.
Built for your decisions
Different teams can use the same evidence differently.
See where you stand. Know what to work on.
Start with a focused diagnostic of your AI Distribution Readiness.
Explore the Check · £495