What is prompt tracking?

By the Variask team · Updated

Definition

Prompt tracking is regularly asking AI assistants a fixed set of questions and recording how they answer, to measure your brand's visibility, position and sentiment over time.

Also called AI rank tracking, Prompt monitoring

With Variask: Variask suggests prompts from real demand, tracks them across 9 engines and markets, and runs several answers per prompt for reliable numbers.

How to choose prompts

  1. 1Start from real buyer questions: sales calls, support tickets, reviews and search data.
  2. 2Mix unbranded questions, comparisons and branded questions.
  3. 3Write them the way people talk to assistants, often as full sentences with context.
  4. 4Group them by topic and stage so you can see where you win and lose.
  5. 5Track them in each country and language you sell in.

What it means for brands

  • A small set of well chosen prompts beats hundreds of random ones.
  • Ask each prompt several times; one answer is a sample, not a result.

Questions

Prompt tracking:
common questions

Enough to cover your main topics and buyer stages. Many brands start with 50 to 100 and grow from there.

Related terms

Keep exploring

Measurement

Branded vs unbranded prompts

Branded prompts mention your brand by name, such as is Acme good for small teams. Unbranded prompts do not, such as best project tool for small teams. Unbranded prompts show whether AI recommends you when buyers have not chosen yet.

Read

Measurement

AI visibility

AI visibility is how often, and how prominently, AI assistants such as ChatGPT, Gemini, Claude and Perplexity mention your brand when people ask questions in your category.

Read

Measurement

AI share of voice

AI share of voice is your brand's share of all brand mentions in AI answers for a set of questions, compared with your competitors.

Read

How AI search works

Query fan-out

Query fan-out is when an AI engine splits one question into several related searches, runs them together and blends the results into one answer.

Read
Full glossary