Company 'about us' text is what AI answers lean on most
Saturday, 7 November 2026 · Marketing & design · Full report · Evidence: Early
note, 2026-11-05 | read: full article
What was found
Glad Cube, through its marketing publication INSIGHT CUBE, looked at which pieces of web text AI tools rely on when they answer questions that ask for recommendations 1. The company reports that short passages introducing a business, such as a paragraph explaining who a company is and what it does, were the type of content AI engines cited most often in those answers 1. In other words, when an AI suggests a product or service, it tends to lean on how companies describe themselves.
Who it applies to
The findings matter most to businesses that want to appear in answers from generative AI search, and to the writers and marketers who prepare content for that goal 1. This work is often called AI optimization (AIO) or large language model optimization (LLMO). Anyone responsible for a company website, profile page, or "about us" section may find the results relevant.
How strong the evidence is
Moderate. The study was an empirical review of citations, sorting the pages that AI answers pointed to by the kind of text they contained 1. It covered 2,610 cited pages drawn from Gemini and AI Mode, which is a reasonably large sample for this kind of check 1. There are two main limits. First, the announcement does not fully explain how the team decided which category each piece of text belonged to, so it is hard to judge how consistent that sorting was 1. Second, only Gemini and AI Mode were examined, so other AI tools may behave differently 1. This summary is based on a reading of the full article.
What it means in practice
Companies hoping to be mentioned when people ask AI for recommendations should give real attention to their introduction text 1. A clear, accurate paragraph that states what the business offers, who it serves, and what sets it apart seems to be the material AI engines pick up most readily 1. Reviewing and improving that paragraph wherever it appears, on the company's own site and on outside listings, is a practical first step. Because the study looked at only two AI services, businesses should keep an eye on how other tools treat their content as well.