The most expensive AI mistake is not being missed. It is being misunderstood. A brand placed in the wrong category is compared with the wrong competitors and left out of the questions its real buyers ask. That is what I found with Forlanso.
The Forlanso case in short
Forlanso is a platform that manages remote work end to end: digital contracts, payroll and payments. But AI assistants often grouped it with freelance marketplaces such as Upwork. Over four weeks I ran a GEO framework to fix that. Afterwards all four major engines I tracked described it as a remote workforce management system, and forlanso.com became the first source cited by ChatGPT and Perplexity. The whole story, with screenshots, is in the full case study.
Why AI gets a brand wrong
- Shared vocabulary. Words like "freelance", "contracts", "payments" and "talent" appear on many kinds of platforms. If your copy leans on the same words, a model fills in the most common category.
- No fixed definition. If your site, your profiles and press mentions each describe you differently, the model has no single description to repeat.
- Third-party sources. Directories, reviews and articles often describe a brand loosely, and models read them too.
- Nobody told it what you are not. Without an explicit contrast, the nearest familiar category wins.
How to spot it
Run the 10-minute AI visibility check and read the descriptions word for word. Look for a wrong category, a wrong audience, a wrong country or a wrong offer. Also ask the tools directly: "Is [your brand] a ...?" and see whether they push back when the label is wrong.
How to fix it
- Choose one category name and describe your brand with it in a single sentence.
- Repeat it everywhere. Website, About page, structured data, profiles and any third-party listing you control.
- Write the contrast. A clear "we are X, not Y" statement helps engines learn the distinction and repeat it.
- Publish quote-ready facts. Specifics such as pricing model, countries served and how the product works, written so they can be lifted as they are.
- Cover the real questions. Target the questions your actual buyers ask, in the languages they use.
- Track and repeat. Re-test monthly. Answers shift, and positioning needs maintenance.
A realistic expectation
Changing how AI describes a brand is possible, but I cannot promise a timeline or a guaranteed outcome. Results depend on the brand, the category and the competition. What you can control is making your brand easy to understand and consistent everywhere it appears.
For the terms used here, see the entity entry in the glossary.
Frequently asked questions
Can I ask ChatGPT to correct how it describes my brand?
Not reliably. Corrections in a single chat do not change the model. What changes over time is the information it finds about you, so fix the sources: your site, your profiles and third-party pages.
How do I know if the problem is my site or other sources?
Check which pages the tools cite. If they cite third-party pages that describe you loosely, those need attention too, not only your own site.
How long does it take to fix a misclassification?
It varies. In Forlanso's case the framework took four weeks, but I do not promise a fixed duration.
Do you know how AI answers your customers' questions today?
I test your customers' real questions on ChatGPT, Gemini and Google AI Mode, and show you where your brand appears and what it takes to become the answer.