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Do you show up when buyers ask ChatGPT? A plain primer

A plain primer on getting named by AI: how to check if ChatGPT names your business, why it differs from SEO and what actually moves the answer.

Dominik · Published · Updated

Sample content. This post illustrates the Journal format end to end; it is not a published article.

TL;DR

Buyers now ask ChatGPT and Perplexity for recommendations before they Google. Getting named in those answers is its own piece of work. It is measurable: ask the tools your buyers use, count how often you appear, then build the citations and structure that change the count.

What does getting named by AI mean, in plain terms?

It is the work that gets your business named and cited inside AI answers from ChatGPT, Perplexity and Google AI. When a buyer asks the model for the best option in your category, this work is what makes your name part of the response instead of a competitor’s.

It is a different job from running ads or chasing rankings. The target is the answer itself and the answer is now where the buyer decides.

How is it different from SEO?

SEO ranks your page in a list of blue links. This work gets you into the single answer the model gives above that list. You can sit on page one of Google and still go unnamed when a buyer asks ChatGPT, because the model cites sources and entities, not your keyword rankings.

So the two overlap on basics like clean structure, then split. SEO optimizes for the results page. This work is about what the model says out loud.

How do I know if I show up when buyers ask ChatGPT?

Ask it. Open ChatGPT, Perplexity and Google AI, type the questions your buyers actually use, like “best [category] in [city]” and count how often your name appears across the answers. In most audits we run, a new client is named in 0 of the first 24 answers we check.

Their competitors usually show up in most of them. That gap is the whole problem and you cannot see it until you go looking. The free AI check does exactly this count for you.

What actually moves the answer?

Three things, in order. First, a citable entity: a clear, consistent profile across the sources models read. Second, content written to be quoted: comparisons, definitions and question-led pages. Third, structure the model can parse, like schema, clean headings and an llms.txt file. Reviews and third-party mentions compound all three.

None of this is a trick. It is the same idea as being the obvious recommendation, written so a model can repeat it.

How long does it take?

First movement usually shows in 4 to 8 weeks, as the models recrawl the sources you have changed and added. It is not instant and anyone promising same-week results is guessing. We track how often you are named every month, so the change is a number you can watch instead of a promise you have to trust.

Sources: OpenAI weekly active users, reported 2025; Nomo client audits, 2026

FAQ

Is this just SEO with a new name?

No. SEO earns rankings in a list of links. This work earns a mention inside the AI answer that now sits above that list. They share some groundwork, like clean structure, but getting named adds entity building and quotable content aimed at the model, not the results page.

Which AI tools should I optimize for?

Start with the tools your buyers already use. For most businesses that means ChatGPT and Perplexity, plus Google AI Overviews. Voice assistants matter if your category gets asked aloud. Pick the two or three your buyers actually open, optimize for those and measure before adding more.

Can I do this myself?

Some of it. You can audit yourself by asking the tools and counting and you can fix obvious gaps like schema and an FAQ. The slower part is building citations across sources models trust, which takes outreach and steady content. Most owners run the audit, then hand off the build.