Five reasons an assistant names someone else, how to work out which one applies to you, and why publishing more pages on your own site rarely fixes it.
Ask ChatGPT about your company by name and it will almost certainly describe you accurately. Most teams do this, feel reassured, and stop.
That test proves only that the information exists somewhere. The test that matters is whether you are named unprompted when someone asks for options in your category — and those two things come apart constantly.
If you have only ever asked about yourself by name, you have not yet measured anything a buyer would experience.
Assistants synthesise from across the web, and third-party sources carry more weight than your own marketing. If reviews, roundups and comparison articles in your category do not mention you, your own site saying you are the best option counts for very little.
Pages written around product names and internal vocabulary are hard to match to a question phrased as a job to be done. If a buyer asks how to solve a problem and your site never states the problem in their words, there is nothing for the model to connect.
Assistants place brands in the category the web puts them in, not the one on your positioning slide. It is worth asking which category questions do return your name — the answer is often adjacent to the one you are targeting, and that gap is addressable.
Coverage accumulates. A company with two years of mentions across credible sources is easier to surface than one with two months, regardless of product quality. This is the least satisfying reason and frequently the real one.
Partial presence is the most common and most missed case. You appear for the narrow phrasing and vanish for the broad one, or vice versa. Without running a spread of prompts you will read this as absence and chase the wrong fix.
The diagnosis determines the work. Reason 1 is an earned-coverage problem, reason 2 is a copy problem, reason 3 is a positioning problem, and reason 5 is not really a problem so much as an incomplete measurement.
Every fix above needs a before and after, and AI answers vary enough between runs that a single check cannot supply one. Establish a mention rate across repeated runs first; otherwise you will not be able to tell whether anything you changed worked.