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Story

AI-generated narrative, semantic DNA, use cases, and source influence.

5 min readUpdated Mar 15, 2026
What you'll learn
  • Read a synthesized narrative of your brand perception
  • Understand your "semantic DNA" - how AI thinks about you
  • See use case mapping and coverage gaps
  • Discover which sources influence your perception most

Numbers tell part of the story. The Story tab tells the rest. It flows like a report, not a dashboard - with a narrative hero, semantic analysis, use case mapping, and source influence, separated by whitespace.


Narrative hero

The page opens with a pull quote - a single positioning statement synthesized from AI responses about your brand:

"[Brand] is consistently perceived as a category leader in the productivity space, known for flexibility and extensive integrations..."

Below the quote:

  • Tone classification (e.g., "Professional", "Innovative") - how AI frames you stylistically
  • Key themes - the recurring ideas that appear across AI models (shown as gray badges)

Click Show full narrative to expand the complete AI-generated description.


Semantic DNA

Your "Semantic DNA" shows the core descriptors AI associates with your brand - the words and phrases that appear most consistently across models.

These associations reveal how AI categorizes you. If you want to be known as "enterprise-ready" but your semantic DNA shows "startup-friendly," that's a signal to adjust your content strategy.


Use case mapping

The use case strip shows which use cases AI associates with your brand and your coverage percentage across them. This reveals:

  • Use cases where you're strongly positioned
  • Use cases where competitors dominate
  • Gaps where no one is winning yet

Perception gaps and model breakdown

A side-by-side section shows:

Left (Gaps panel): Specific perception opportunities - dimensions where improving your score would have the highest impact.

Right (Model panel): Which AI models (ChatGPT, Claude, Gemini, Perplexity) contributed to the analysis and how they differ.


Common concerns

If AI models consistently raise concerns about your brand (e.g., "steep learning curve," "expensive pricing"), they appear in a highlighted list. Address these proactively in your content strategy.


Source influence

The footer shows which domains most influence your perception scores. This connects perception back to citations - if a negative source is dragging your perception down, you can prioritize outreach or content to counterbalance it.


Using Story for content strategy

Reinforce strengths. If AI says you're "known for reliability," create content that demonstrates reliability further.

Address concerns. If "steep learning curve" appears, create onboarding content and tutorials.

Claim territory. If certain associations are missing that you want, create content establishing them.

Differentiate clearly. If your story sounds too similar to competitors, sharpen your unique positioning.

Tip
Share your brand story with your content team. It's a powerful brief for what narratives to reinforce and what objections to address.

Next steps

Goals

Set targets for specific perception dimensions and track progress.

Narratives

Monitor specific topics across AI models over time.

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