Strategy
Brand Narrative Control: Managing Your Story in AI
Ensure that AI models tell your brand story exactly how you want it told.
Key takeaways
- LLMs often synthesize your brand story from multiple, sometimes conflicting, sources; narrative control is the process of ensuring your official positioning is the primary narrative used by AI models so your story is told correctly.
- Control tactics include positioning ingestion (feeding models structured documentation about your current brand values), outdated fact remediation (identifying and flushing out old information from the AI's active knowledge), and tone alignment so the AI uses your brand's specific adjectives and personality.
- Managing your narrative in ChatGPT and Perplexity is now as important as managing it in traditional media; narrative control ensures inaccuracies and competitor framing do not become the default story.
Owning your story: LLMs often synthesize your brand from multiple, sometimes conflicting, sources. Narrative control ensures your official positioning is the primary narrative used by AI models—so your story is told the way you want it.
Owning Your Story
LLMs often synthesize your brand story from multiple, sometimes conflicting, sources. Narrative Control is the process of ensuring your official positioning is the "Primary Narrative" used by AI models.
Control Tactics
- Positioning Ingestion: Feeding models structured documentation about your current brand values.
- Outdated Fact Remediation: Identifying and "flushing out" old information from the AI's active knowledge.
- Tone Alignment: Ensuring the AI uses your brand's specific adjectives and personality.
PR in the AI Era
Discover why managing your narrative in ChatGPT is now as important as managing your narrative in the New York Times.
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