Start with real customer questions
Write questions from sales conversations, customer research and common objections. Add prompts individually or import a CSV, then review the set before you start.
Prompt monitoring
Prompt monitoring for customer questions.
A prompt is a question or instruction sent to an AI. Prompt monitoring helps you follow the answers to your customers’ questions, so you can understand which brands and sources appear throughout their decision.
Give every question a purpose
Group prompts by topic and use tags for audiences or stages of the journey. Keep discovery, comparison and brand-specific questions easy to analyze separately.
Follow the answer history
Review how answers to the same prompt change over time. Compare models and investigate shifts in brand mentions and cited sources.
Choose a useful question set
Follow the decision, one question at a time.
A useful prompt set reflects how someone chooses a product. Include broad discovery questions, specific requirements and comparisons, rather than many slightly different versions of the same question.
Keep your core questions consistent so changes remain understandable. Add a new group when you need to investigate a new audience, product or need.
Choosing prompts to monitor
How is prompt monitoring different from prompt engineering?
Prompt engineering changes instructions to produce a desired output. Prompt monitoring follows answers to a defined question set to understand brand presence, competitors and sources over time. Here, the goal is marketing research and measurement.
Should I include my brand name in every prompt?
Use category and need-based questions to study discovery without suggesting a brand. Keep questions that name your brand in a separate group to study how it is described. Combining the two can make prompted mentions look like spontaneous discovery.
How many prompts should I monitor?
Start with a focused set that covers your main products, customer needs and buying decisions. Review whether each question adds a distinct perspective. Coverage and relevance matter more than collecting many near-duplicates.
Can I use prompts in different languages?
Write questions in the language your audience uses and keep each language’s results separate when comparing them. Check the languages supported by the model you select; translating a question does not guarantee equivalent answers.