Your customers ask AI who to buy from. Each article answers one question about how AI picks, with runs we did ourselves and the method shown.
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Questions people ask
Why not me
The Nenn blog answers one question per article about how AI tools like ChatGPT pick the companies they name. Nenn (nenn.io) is an AI visibility tool from Hamburg. Each article starts with the short answer and shows data from runs we did ourselves. Then it says what to check on your own site.
Not by applying or paying. You can make your pages easy for AI to find and quote. This article shows which pages it cited in our runs.
To get ChatGPT to recommend your company, make the pages it reads easy to quote. There is no form and no paid place in the answer. In our 115 runs, an OpenAI model cited pricing pages most: 148 of 366 citations. Pages made for one kind of customer got 63. Reddit got 0.
Get named · · 13 min read
Your company (Your company)Competitor
Which accounting software should a company with 10 people use?
Pick the topic that matches your question. Each article sits in one of four.
Newest first. Each line says what the article answers, so you can see if it fits before you click.
Five common causes, from a missing page to answers that move from run to run, with a test for each.
Why not me · · 12 min read
Which kinds of pages AI cited most in our runs, and 6 steps to make yours easy to find.
Get named · · 13 min read
We ask an AI model typical buying questions many times. Then we count what it names and cites, and write down where the method stops.
115 runs · 1-2 Nov 2026
Scheme: 13 software questions sent to an OpenAI model with web search, 115 runs counted, 1 and 2 November 2026.
Real runs, counted
Our current data set has 115 runs of 13 buying questions about software, asked on 1 and 2 November 2026.
The engine is named
The runs use an OpenAI model via Codex CLI with web search, not the ChatGPT app. Every article prints this note.
A date on every number
Each number has a source line and the date we checked it.
Limits said out loud
AI answers change from run to run, and all 13 questions are about software. When our runs cannot answer a question, the article says so.
Yes, if it shows its dates. Every article prints when we ran the questions and when we last updated it.
Nenn does this for your own customer questions, on 3 AI engines, every week. Each topic has a part of the app.
For each customer question and each engine, you see if your company is named.
A ranked list of the companies AI names for your questions, and the websites it cited.
How often AI names you, split by engine and topic, with a trend from the second check.
Nenn drafts it from what AI answers and cites. You approve it and copy it into your site, or publish it in one click on Growth and higher plans.
When search is on, ChatGPT can read the web before it answers. Without search, it answers from what it learned in training. Our own runs used an OpenAI model with search on, and it searched in most of them. It then cited the pages it read, often on company websites. Our article on getting recommended shows which page types it cited most.
Ask ChatGPT, Perplexity and Google a few questions your customers would ask, and write down who is named. Here is how to check AI answers by hand, with a log sheet. In the trial, Nenn asks for you and keeps the full answers.
Not only, but most of our own numbers are. Our research runs so far use an OpenAI model. Each article names the engine behind every number. Nenn itself checks ChatGPT, Perplexity and Google AI Overviews every week.
No. We do not sell mentions or links in articles. A company appears in an article only when it came up in our runs.
Yes, with a link to the article and the run date. Please keep the engine note, because our runs did not use the ChatGPT app.
The articles show patterns across many companies. The trial shows yours: your customers' questions, the answers of 3 AI engines and the names in them.
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