AI for Business: How to Promote a Brand Through ChatGPT

Mentions in ChatGPT matter more than links: the analysis showed that text mentions of a brand in the body of an AI answer appear significantly more often than linked citations, and they determine real visibility in search.

A citation and a mention are different metrics

AI marketing has inherited a persistent confusion from classic SEO: "getting into an AI answer" is treated as the same thing as "getting a link in the sources." In reality these are two fundamentally different outcomes, measured differently and affecting brand perception differently.

A citation is a link to a page as a source of information. It appears in footnotes or in a "Sources" block next to the model's answer. Marketers habitually treat it as a sign of success: "there's a link, so we made it into the AI results."

A mention is when the model names a brand or product directly in the text of its answer, without a single link. The user sees a recommendation like "Service A and Service B will work," but there are no footnotes at all.

According to public research from Ahrefs and Profound, text mentions appear significantly more often than linked citations. The author's own monitoring confirmed this pattern, including on the Russian market, where Yandex's Alice was part of the sample.

Why recommendation answers matter more than informational ones

AI tools handle two fundamentally different types of queries. Informational ones, such as "what is RAG" or "how does a vector database work," often get answers with source links: the models cite documentation, articles and Wikipedia. For recommendation queries, such as "which service should I choose for analytics" or "what suits a small business," the model usually answers in text without a single footnote.

The recommendation scenario is the commercially important one: this is where the decision to try or buy a product is formed. A brand either makes it into the recommendation or it doesn't, and no citations in other contexts make up for that.

"There's a link, so we won; no link, so we failed" is SEO thinking,

and it does not work in an AI context.

The author also recorded differences between platforms: ChatGPT, Perplexity, Gemini and Alice mention brands differently in response to identical queries, so presence in one tool does not guarantee presence in others. On the Russian market, Alice behaves noticeably differently from Western platforms.

What to measure in AI optimization

The author concludes that working on AI visibility (in AEO and GEO terms) requires its own toolkit: not SEO rankings and link mass, but systematic monitoring of brand mentions in the text of answers. The metrics that really matter:

• Frequency of brand mentions in recommendation answers for topical queries
• Coverage of queries where the brand is named in the text (regardless of whether a link is present)
• Position in the list: whether the brand is named first or at the tail end
• Context and wording: how exactly the AI describes the product or company
• Platform coverage: how consistent the brand's presence is across ChatGPT, Perplexity, Gemini and Alice

This approach differs fundamentally from classic SEO monitoring: you need to track not positions in search results, but what exactly the AI says about the brand in answers to topical queries.

What this means

For AI promotion specialists, this is a signal to change their metrics. Optimization should target not only linked citations but, above all, content, reputation signals and authority in the niche, the things that push models to name a brand in recommendations. This is the visibility a user sees at the moment of choosing a tool or supplier.

What works better for brand visibility in

ChatGPT: a mention or a link? The analysis showed that text mentions of a brand appear significantly more often than linked citations, and they are what determine real visibility.