Glossary of terms
Diagnosis and recommendation
Visibility in AI
Recognition is a situation in which the model is aware of a brand’s existence. A recommendation is when the model names the brand in response to a question about a category. These are two different things and two different tasks.
Last updated: 8 September 2026
What does that mean?
Why does this distinction determine the course of action?
Brand recognition is built through content on your own website: descriptions of your company, services, case studies and customer enquiries. Recommendations, on the other hand, are built on signals from outside your website: reviews, rankings, publications and comparisons that you do not generate yourselves.
That is why a company with a well-designed website may be recognised by all four models yet not be recommended by any of them. We describe the analysis of this case in the article knows it, but doesn’t recommend it.
Find out what stage your brand is at
To start with, you get 250 AeloCoins, without a card. That’s enough to run a scan and test the modules. Once you’ve used them up, you’ll switch to a paid plan. The first scan separates the diagnosis from the recommendations in each of the four models.
