ABMG.ai

    AI search · wellness · fitness · spa · sport

    Makers of products

    The engine settles on a sentence. What does yours say?

    For the product, brand or marketing lead inside a company making something a person uses on their body or in training: wearables, wellness technology, recovery devices, connected equipment and sports products.

    The reading

    The representation you have. The one you want. The path between them.

    We read what ChatGPT, Perplexity and Google AI Overview tell buyers a product is for. Then we trace that sentence through the product itself, communications, PR, the maker's own content and the structure of that content.

    We work on the product side as well as the content side: what the product should tell the person, and how that appears in what the engines say.

    How an engine answers one question

    The fan-out

    An engine spreads one question into sub-questions, searches each, then folds the results into one answer. On a device question, caution sets the order: authority first, product and price last.

    One device question opening into six ordered sub-questions, authority first and price last, then folding into one answer
    The fan-out: one question, six sub-queries, one answer.
    Representation

    The sentence an AI answer settles on to describe what a product is for.

    Named

    A product appears in an AI answer.

    Cited

    A source is linked or identified as support for an AI answer.

    The fan-out

    One question spread into ordered sub-questions, searched separately and folded into one answer.

    The question underneath

    Did the person learn anything and change what they did?

    A company makes claims for its product — to investors, to the market, to itself — and the engines repeat them. Most descriptions they settle on are about the device: cleared, validated, accurate, priced. Almost none say what the person learned.

    What counts is the experience people actually have of it: what it let them do, what they learned, what they now trust themselves to manage. The two rarely match. The outcome a person is after, in their own life, is often not the one the product was built to claim — and the work is to make people good at the first, not the second.

    We show what a good page looks like: felt experience, dated and specific. We help a maker's users write what they learned through the same process instructors use. Where that writing lives, and how it stays independent of the maker, is worked out with each client.

    Next step

    Book a call — twenty minutes, no deck, no prep

    Bring one category question. We will read what the answer says and decide whether there is useful work to do.

    Book the conversation

    Or write instead

    Send the request

    The second route, if a call is not the right start. Patrice reads every request himself and replies.