AI mentions

Discover when AI names your brand.

Identify questions where your brand is mentioned and those where competitors appear. Open the answer to see whether the name comes with an accurate description or a recommendation.

AI visibilityIllustrative example

Your brand · answers and sources

OverviewAnswersSources

The brand is missing: what should you check?

  1. Example question

    Which headphones do you recommend for working in a noisy office?

  2. What you read

    Example: a customer asks which headphones to choose for work. Open the answer to see whether your brand appears, which competitors are named and which pages are cited. Use this to identify information to clarify on your website.

  3. The next step

    Prepare a proposal to update the product page, then repeat the check using the same questions.

Mentions, recommendations and citations describe distinct signals: they are not added together. The denominator includes only valid answers, with the model and collection method stated.

What you get

A name is not enough.

“The brand offers wireless headphones” and “I recommend this brand for calls” mean different things. Check the full sentence and product references before deciding which message to clarify on your website.

Three contexts in which a brand may appear
ContextWhat to checkWhat it means
List of alternativesWhether the name identifies the correct subject and what role it plays in the list.Presence in the observed answer, without assuming preference or superiority.
Critical comparisonWhich aspects are compared and which sources support the claims.A mention can be unfavourable: frequency and evaluation are distinct interpretations.
Explicit suggestionWhether your brand is proposed for the need expressed in the question.A recommendation within the sampled context, not a universal endorsement by the engine.

What you get

Compare equivalent answers.

Compare appearances using the same questions, language and model. Mention rate covers collected answers: it helps track your sample, not all user conversations.

Information context
  1. Comparable questions
  2. Valid answers
  3. Declared periods

A closer look at the answer

The name is just the beginning.

A brand can appear in an answer without being recommended. It may be mentioned as an alternative, a historical reference or for a feature unrelated to the expressed need. The original text clarifies the distinction.

Analysis starts with identity: the name, alias, product and context must refer to the correct subject. It then distinguishes the brand’s role in the answer and retains the supporting passage. The presence of a source is another piece of information. Mentions, recommendations and citations can coexist in one answer and should not be added together as mutually exclusive categories.

One answer, three distinct interpretations

Interpretation criteria

Monitored questionWhich information helps someone choose your product?

n/a

Mention
Your brand name appears in the text: this presence should be distinguished from an explicit recommendation.
Recommendation
A recommendation connects the product to a need. Attributing it to your brand requires the supporting passage from the answer.
Source to verify
The date and content of the cited page help establish whether the information still describes your product accurately.

Every attribution requires the original answer, the question’s context and available sources. Without that evidence, the result remains n/a.

Who appears

The identified brand or product, including any attribution still awaiting verification.

In what role

A suggestion relevant to the question, a comparison or a simple reference.

Supported by what evidence

The answer passage and disclosed sources that allow the interpretation to be checked.

Questions and intentions

Presence that matters to a choice.

Discovery, comparison and verification questions describe different moments. Separating them helps identify where your brand is suggested and where information is less complete.

A question naming your brand does not measure the same thing as an open search for alternatives. In the first case, the mention may already be implicit in the request; in the second, it helps reveal whether your brand enters the selection. These question groups therefore remain separate in comparisons, retaining their wording, language and market.

Category discovery

Observe which alternatives are presented before a customer chooses a name.

Comparing options

Read which differences support the recommendation for a specific need.

Product verification

Check the accuracy and completeness of information about features and support.

From result to verification

Find the reason behind every appearance.

Mention rate gains value when you can trace the answers behind it. A change in the total should lead to closer examination by topic, model and period.

Unusable answers must be separated from valid answers without a mention. Comparisons should disclose changes to questions or collection conditions. If an incomplete description emerges, the next step is to check the source and your brand’s approved information: correcting a page may improve clarity, but does not guarantee that the model will use it or recommend the product.

Reading path
  1. Change in mentions
  2. Answers to examine
  3. Information to verify

Related paths

Check your brand’s presence, compare results or choose content improvements: continue with the feature you need.

From question to action

From the question to checking the outcome: context, sources, hypotheses and action plans in the TrustInsider analytical workflow.

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Find the right answer

Find guides, FAQs and methodology to clarify indicators, coverage and access, with dedicated routes for data requests.

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Measure AI mentions and recommendations · trustinsider