AI Visibility Monitoring — Knowledge Base

What is AI visibility monitoring?

AI visibility monitoring is the practice of tracking how AI engines mention, describe and recommend brands in the answers they generate. It measures whether a brand appears when someone asks about its category, in what context it is described, and which competitors appear alongside it.

It differs from SEO rank tracking in what it measures. SEO tracking records the position of a page in a list of links; AI visibility monitoring records whether a brand is named inside a generated answer, where there are no positions and often no links at all.

How do you monitor a brand on ChatGPT?

Monitoring a brand on ChatGPT means running a defined set of questions against it on a recurring schedule, phrased the way real users would ask them, and then analysing the answers. Each answer is checked for whether the brand is mentioned, how it is characterised, and which sources the engine drew on.

A single conversation is not a measurement: answers vary between phrasings and over time, so the same questions must be repeated and compared. Dolomite AI automates this process for the Brazilian market.

What is AEO (Answer Engine Optimization)?

AEO is the practice of optimising a brand’s presence in answers generated by AI systems such as ChatGPT, Gemini, Google AI Overviews and Perplexity — the equivalent of SEO for the era of direct answers.

It involves structured content, entity data, schema markup and continuous monitoring of how AI systems cite the brand. Platforms such as Dolomite AI automate that monitoring and indicate what to optimise.

What is the difference between AEO and SEO?

SEO works to rank a page among links; AEO works to have a brand cited inside a generated answer. The two describe different surfaces: one returns a list the reader chooses from, the other returns a single response the reader usually accepts.

They are independent axes rather than stages of the same process. A brand can rank on the first page of search results and still be absent from AI answers about its own category, and the reverse also occurs — a pattern observed in practice across Brazilian brands.

How do AI engines choose which brands to cite?

AI engines assemble answers from sources they treat as reliable, so the brands they cite tend to be those present in authoritative third-party sources, described consistently across the web, and marked up in ways a machine can parse — structured data, schema and coherent entity information.

Content that directly answers the question being asked is favoured over content that merely mentions the topic. These factors are what an AEO audit examines, and they form the basis of the audit service in Dolomite AI.

How often should AI answers be monitored?

AI answers are not stable. The same question asked twice, or phrased slightly differently, can return different brands, and answers shift as models are updated and as the sources behind them change.

A single check is therefore a snapshot rather than a measurement. Recurring collection every three to seven days captures the trend instead, which is the cadence used by the Dolomite AI plans.

Facts & Results

Flexform, a Brazilian furniture brand, grew its visibility in AI answers from 46% to 69% over three months, applying AEO methodology and monitoring the results through Dolomite AI.