Metrics & measurement

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Question tracking

Question tracking is the repeated execution of a defined set of saved questions on selected AI platforms. Each question-and-platform pair creates a separate tracking run, allowing answers and derived metrics to be compared over time.

In plain terms

A monitoring question is sent as stored; GetCited.me does not inject the website, brand, competitors, or positioning into the provider request.

After the provider returns an answer, a separate analysis step applies the monitored brand context to validate identity, detect competitors, classify sentiment, estimate share of voice, and normalize citations.

Repeated results are still samples: model updates, web-search results, location, and normal response variation can change an answer between runs.

Why it matters

Trends, not snapshots, show whether visibility work is moving the monitored answers — essential when responses fluctuate run to run.

Scheduled tracking can catch losses, such as a competitor overtaking you on a key question, early enough to respond.

How it relates to GetCited.me

GetCited.me schedules topic clusters at plan-capped frequencies: Launch supports up to weekly automatic tracking, while Growth and Scale support up to daily tracking. Weekly, biweekly, and monthly frequencies remain available where allowed. Each platform has a different answer-credit weight.

Related terms

Topic clusterA topic cluster is a saved group of related monitoring questions managed and scheduled together.Share of voice (AI)AI share of voice estimates a brand's relative presence against tracked competitors in monitored answers.Mention rateMention rate is the percentage of completed monitored answers in which the correct tracked brand was detected.AI visibilityAI visibility describes how consistently and clearly a brand appears in AI-generated answers for a defined set of questions.

Frequently Asked Questions

Prompt tracking — question tracking in this product — is the repeated execution of a fixed set of saved questions against selected AI platforms, so the answers can be compared over time. Each question-and-platform pair is one tracking run.
Frequently enough to separate a real change from normal variation. Weekly is the common baseline for a stable set of questions; daily is worth it for questions tied to revenue or to an active content push. A single run is a sample, never a state.
Model updates, live web-search results, location and ordinary response variation all move the answer. That is precisely why tracking repeats the same question on a schedule instead of checking it once.
It should not. A question that names your brand asks the model about you and will almost always mention you. Useful monitoring questions are the ones a buyer would type without knowing you exist, so the answer reveals whether you are named unprompted.

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