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Know how AI systems see you.

Read the signals that help assistants understand, compare, and cite your brand, one assistant at a time.

AI Visibility: Mentions in AI answers

mycompany.comReviewable

Observed AI visibility

Each assistant is checked on its own; a missing mention is recorded, never assumed.

AI Visibility
QuestionsAsked
  • PromptHydration appsBest hydration tracker apps, asked of every assistantView promptAsked
  • PromptReminder appsApps that remind me to drink water, asked of every assistantView promptAsked
  • PromptLogging intakeHow to track daily water intake, asked of every assistantView promptAsked
AnswersPer assistant
  • ChatGPTChatGPTCategory answerMentioned
  • ClaudeClaudeOffer describedMentioned
  • GeminiGeminiNot in the answerNot mentioned
  • PerplexityPerplexityNo answerUnavailable
GEO analysisReviewable
  • MentionedNames the companyObserved
  • Not mentionedCategory onlyObserved
  • UnavailableNo qualifying answerObserved
  • Offer describedHow the offer readsReview

No credit card. The free run profiles one domain, and every panel it returns is yours to correct.

The problem this capability addresses

AI visibility is easy to overstate

The short answer

Alesta checks selected assistant answers for a company or category and records whether the brand appears, how it is described, and whether a qualifying answer was available. Each assistant stays a separate observation.

A single answer cannot represent every model, prompt, location, or date. Teams need a repeatable record of the exact answer context before deciding whether brand understanding has improved.

Evidence and inputs

Defined prompts
A reviewed question set gives each observation a clear scope instead of treating an anecdotal chat as a benchmark.
Assistant responses
Mentions, descriptions, cited URLs, and unavailable responses are recorded per assistant and run.

What you can review

Mention record
A reviewable view of where the company appeared and what the answer actually said.
Entity differences
Conflicting descriptions and missing context become specific follow-up questions for the team.

A reviewable workflow

  1. 01

    Choose the questions

    Define branded and non-branded prompts that reflect how a prospective user might ask.

  2. 02

    Observe assistants separately

    Record each answer, mention, and cited URL without combining systems into one claim.

  3. 03

    Compare over time

    Repeat the same versioned question set and review changes with the underlying answer evidence.

Boundaries and limitations

Answers vary
Model version, prompt wording, geography, personalization, and time can change an answer.
Permission is not citation
Crawler access and clear content can support retrieval, but neither guarantees that an assistant will mention or cite the site.

How this capability is different

Visibility records answers, GEO reviews readiness

AI Visibility measures observed mentions and descriptions. GEO examines the entity, source, and citation-readiness signals that may help systems understand the site.

Questions this page answers

What counts as an AI visibility observation?

A recorded response to a defined prompt, including the assistant, date, wording, mention state, description, and cited URL when one is present.

Can Alesta promise an AI citation?

No. It can make observations reviewable and identify content or entity gaps, but citation decisions remain with each external system.

Continue with supporting resources

Choose the next step

Define a repeatable answer set

Start with the company domain, then review the assistant observations and the questions used to collect them.

Review AI visibility