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Product & Digital · AI Visibility Check

Can AI understand your product and route customers to the right next step?

maesee tests whether AI systems can explain what your product does, understand when it is relevant, rely on the available information and identify the right customer next step.

Why this matters now

AI is a new interpreter in your product journey

Customers increasingly ask AI assistants what a product does, whether it fits their need and how to get started. Before they reach your website, product pages, onboarding flow or sales journey, AI may already be shaping how they understand your offer.

Product teams have spent years improving how people understand, evaluate and adopt digital products. AI introduces a new interpreter into that journey. It may explain your product before the user reaches your site, compare it before the user sees your positioning, and suggest a next step before the user enters your funnel.

If AI misunderstands your product, draws on the wrong information or points customers towards the wrong next step, you may lose them before they ever reach you. maesee gives product, digital and product growth teams a practical view of how well AI understands the product, relies on available information and routes customers towards the right next step.

Where AI shapes the product journey

AI explains your product before users reach your site
AI compares you before users see your positioning
AI suggests a next step before users enter your funnel

What maesee looks at

Tested scenarios across selected named AI models

maesee runs a defined prompt pack across selected named AI models and records what the tested models actually do. For a product audience, it looks at:

01Whether AI explains what your product does and who it is for
02Whether AI understands the customer problems and use cases your product is built for
03Whether AI draws on accurate, consistent and trustworthy product information
04Whether AI presents your product as a suitable option in relevant scenarios
05Whether AI identifies the right next step, such as quote, buy, book, sign up, contact, request a demo or read documentation
06Whether unclear product, pricing, eligibility, documentation or journey signals are weakening how AI understands you

Findings reflect observed model behaviour under defined test conditions. They are an indicator of AI visibility and recommendation readiness, not a definitive measure of how every AI system will respond.

What you learn

A clear picture of how AI understands your product

Written for a non-technical reader. Can be shared with your team.

Your report shows you

How accurately AI explains your product, category and use cases
Where AI's understanding is thin, dated, generic or wrong
Whether AI draws on accurate and consistent information about you, or repeats unsupported claims
Where AI presents your product as a suitable option, and where it does not
Whether AI identifies the right customer next step
Which product information, proof points or journey signals may help AI understand and route customers more accurately
Practical, prioritised changes to improve how AI understands your product, relies on the right information and identifies the right customer next step

Questions this answers for a product team

Six questions every product team should be asking

The Check gives you a clear, evidence-based answer to each of these.

01Does AI describe what our product does, and who it is for, correctly?
02Does it explain the use cases and customer problems we care about?
03Does AI draw on accurate and consistent information about us?
04Are we presented as a suitable option for the right needs?
05Does AI point customers towards the right next step?
06Which product, pricing or documentation gaps are weakening AI understanding?

Who this is for

Built for teams where product understanding drives growth

This is a fit for product, digital and product growth leaders in businesses where customers research, evaluate, buy or adopt digitally. It works well for SaaS, product-led, marketplace, financial services, insurance, e-commerce and digital service businesses that care about how clearly their product is understood and how well customers are routed to the right next action.

Product leaders

Understand how AI explains and routes your product to customers.

Digital teams

See where AI understanding gaps affect your digital journey.

Product growth

Identify the AI signals that drive or limit product adoption.

SaaS and platform

Get a practical read on AI visibility before you scale.

Next step

Get a fast, practical read on how AI currently understands your product, relies on available information and identifies the right customer next step.

Methodology

The AI Visibility Check tests observed AI response behaviour using a defined prompt pack, selected named AI models and a stated methodology. It is not a definitive measure of how every AI system will find, describe or recommend a business. Findings should be read as an AI visibility and recommendation readiness indicator, based on repeatable observed model response behaviour.