What is Narrative control?
Shaping the sources AI relies on to describe your category.
Narrative control is the work of influencing the third-party sources an engine trusts, reviews, communities, comparison pages, roundups, so the story AI tells about your category represents you fairly and cites you. Because engines lean on consensus, the leverage is concentrated in a handful of “gateway” domains.
CiteTrack’s narrative-control map ranks those domains for your topic and flags which are you versus competitors, turning narrative control into a prioritized target list.
Why — and when — does it matter?
Narrative control helps a brand correct recurring framing by improving the sources engines repeatedly use—not by attempting to dictate every answer.
How it works
Track claims, comparisons and sentiment across prompts.
Identify recurring cited domains behind the narrative.
Separate true criticism from false or outdated facts.
Improve owned evidence and engage relevant third-party sources.
Monitor whether the framing changes.
Worked example
AI repeatedly calls a retailer slow because an old review roundup is frequently cited. The company documents current delivery performance and seeks an accurate update from the influential source.
How to track and report it
Reporting rule: State the engine, prompt set, market, time window and denominator. A number without scope cannot be reproduced or compared.
Practical playbook
- Track claims, comparisons and sentiment across prompts.
- Identify recurring cited domains behind the narrative.
- Separate true criticism from false or outdated facts.
- Improve owned evidence and engage relevant third-party sources.
- Monitor whether the framing changes.
Common mistakes
- Trying to suppress legitimate criticism
- Responding without identifying the source
- Measuring mentions without reading the narrative
Questions people ask
What is Narrative control?
Shaping the sources AI relies on to describe your category. Narrative control helps a brand correct recurring framing by improving the sources engines repeatedly use—not by attempting to dictate every answer.
How does Narrative control work?
Track claims, comparisons and sentiment across prompts. Identify recurring cited domains behind the narrative. Separate true criticism from false or outdated facts. Improve owned evidence and engage relevant third-party sources. Monitor whether the framing changes.
How do you measure Narrative control?
Claim frequency and sentiment distribution. Source concentration, corrected claims and recommendation rate. Claim prevalence = answers containing the claim ÷ answers mentioning the brand × 100
What is a common mistake with Narrative control?
Trying to suppress legitimate criticism. The scope and methodology should be stated before interpreting the result.