The questions owners and marketing leads ask when AI recommends a competitor or gets a fact wrong, each answered from what we measure: what the engines say today, who they name, and what changes it.

Our own baseline, in public: 286 answers, zero mentions, 39 wrong claims, and the two questions nobody in the category owns. The case study starts at zero, and we will show every month what moved.
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Three reasons cover almost every case we have measured: the engine holds a wrong fact about you, a source it trusts names them and not you, or their page answers the customer's question and yours answers a general one.

Nobody, by default. The engines do not take corrections, and no tool in the category owns the job. Here is what a correction is, where wrong answers come from, and the four steps that change them.

A parent asks ChatGPT for a play-based preschool near them with openings this fall and gets two names. What decides which two, what the engines get wrong about centers, and what a center can publish to be the name.

A donor asks ChatGPT for the best local charity for youth programs and gets three names. A grant seeker asks which community foundation funds nonprofits in the county. What decides the answer, and what a nonprofit can publish to be it.

A buyer asks ChatGPT whether a flat-fee broker in their city is worth it, or for a broker who works with buyers only. What decides the answer, why brokerages get described wrong, and what a brokerage can publish to be the name.

A couple planning a Saturday asks an AI where to taste and gets three names. What decides which three, why a winery's own site usually loses to a listicle, and what ten years in the wine business taught us about fixing it.

A patient asks ChatGPT which clinic to call and gets a name. What decides whose name it is, what a HIPAA-conscious practice can publish without touching patient data, and who does the work.

A daughter asks ChatGPT how to start hospice for her father and gets a name and a phone number. What decides whose, why the engines get hospice facts wrong more than most, and what an agency can publish to be the name.

Someone asks ChatGPT for a trauma therapist who takes their insurance and gets three names. What decides which three, what a practice can publish without saying a word about any client, and who does the work.

The engines answer this question with software names. A firm does not need software; it needs pages that answer the client's question in the client's words, facts checked, and a monthly read on who the engines name. Here is how the two compare.

An advisory firm can be named by AI engines with pages that state services, credentials and approach as fact, with no performance claims and no unreviewed testimonials. Here is where the line sits and how the work runs inside it.

398 claims checked, 48 flatly wrong, and why the accuracy layer is the first thing Eidomai publishes rather than the last.
We run your measurement before the call, so the demo opens on your own battle map: which questions you hold, which a competitor holds, and what the engines get wrong about you today.