How to get the best results working with FactCheck
Last updated: June 26, 2026
Here are some best practices to help you make the most of FactCheck.
What makes good FactCheck prompts
FactCheck prompts should have a realistic chance of triggering an LLM response that mentions your brand and makes a verifiable, objective claim: a price, a feature, a spec, or a policy. Vague and subjective prompts ("Is Brand X good?") belong in Sentiment. Comparisons ("Brand X vs Y") can work as long as they include verifiable claims.
Branded vs unbranded prompts
Branded prompts — prompts that mention a brand directly. For example: "Does Profound track brand mentions across AI search engines?"
Unbranded prompts — prompts that ask broader category questions and may surface a brand naturally. For example: "What are the best tools for tracking brand visibility in AI search and why?"
Branded prompts are recommended but not required. They make it easier to filter for relevant responses and reduce noise. Unbranded prompts are fine when the category is specific enough that the brand is likely to surface anyway (for example, "What is the best AEO tool?").
Examples
Good: factual, specific | Bad: vague, subjective |
|
|
What makes good Knowledge Base content for FactCheck
Here are some Knowledge Base best practices:
Make sure the information in your Knowledge Base answers the prompts you're tracking for FactCheck. For example, if you're tracking prompts about pricing, include a pricing page or FAQ that covers it.
Add your public-facing website to your Knowledge Base. Knowledge Bases support recrawling on a daily, weekly, or monthly cadence, keeping your source of truth current automatically. Learn more in the 📄 Create and manage Knowledge Bases section.
Use live, publicly accessible pages you own, such as help center articles, policy pages, and product pages. Set up an auto-sync schedule to keep the content current.