Narrative Intelligence · AI Recall Tracking · Receipts, Not Screenshots

Know the moment AI knows your story

Press coverage tells you where a story appeared.

Stuff That Spins tells you when AI starts recalling it—and whether the right message, proof points, caveats, citations, and brand attribution came with it.

Turn an announcement, article, research paper, product launch, or point of view into a structured Narrative Fingerprint. Then track how ChatGPT, Claude, Gemini, Perplexity, and other AI answer engines remember it.

Track Your Story in AI View Sample Recall Report

From story → SpinGraph → Message Pull-Through → First Observed Recall

The problem

Every story has a frame. AI can change it.

A story may earn coverage and still fail to enter AI memory.

AI may know the topic but forget the brand. It may repeat the headline but drop the caveat. It may cite a secondary article instead of the original source—or associate your message with a competitor.

Stuff That Spins shows what the story says, how it is framed, and what AI is most likely to repeat.

AI Recall Tracker—powered by GEOGrow—measures what AI actually remembers.

Message pull-through

Did the message pull through?

Traditional PR measures whether journalists repeated the intended message.

AI Recall Tracker brings message pull-through measurement to LLMs and AI answer engines.

We track whether AI retains:

The primary message
Supporting proof points
Brand attribution
Category association
Important caveats
The intended frame
Authoritative citations
Competitive differentiation

Because being mentioned by AI is not the same as being understood by AI.

Explore AI Recall Tracker →

How it works

From story to AI memory

1. Define

Identify the primary message, supporting claims, proof points, caveats, brand attribution requirements, competitors, and claims AI should not overstate.

2. Structure

Create a SpinGraph and Narrative Fingerprint containing the story's claim, frame, entities, evidence, context, caveats, intended takeaway, and likely AI summary.

3. Test

Run a consistent prompt battery across leading AI engines to determine whether the story is known, understood, cited, and correctly associated with the brand.

4. Track

Measure first observed recall, first accurate recall, message pull-through, citation quality, caveat retention, competitor intrusion, and narrative drift.

5. Improve

Use GEOGrow recommendations to strengthen owned content, FAQs, schema, entities, citations, and answer-ready explanations—then test again.

Define Structure Test Track Improve

Define → Structure → Test → Track → Improve

One narrative intelligence system

SpinGraph structures the story. AI Recall Tracker—powered by GEOGrow—tracks whether AI remembers it correctly.

Before publishing

Coming soon

SpinTest

Pre-flight the story before it goes live. See what AI may repeat, what journalists may challenge, which claims need support, and where the framing could become distorted.

Coming soon

Narrative vulnerability scan
Hype and skepticism flags
Missing-context alerts
Claims requiring stronger evidence
Likely AI interpretation

Join the Waitlist

At publishing

Start here

SpinGraph

Turn the story into a structured, citeable Narrative Fingerprint built for people, crawlers, and AI answer engines.

From $99 per report

Core and supporting claims
Narrative frame and spin tactic
Entities and source evidence
Caveats and missing context
Likely AI summary
Machine-readable Markdown and schema

Get a SpinGraph

After publishing

Phase II

AI Recall Tracker

See when AI begins recalling the story, what sources it cites, whether the brand receives credit, and whether the intended message survives.

From $299 per story · 30 days

First observed and accurate recall
Message Pull-Through Score
Citation map
Brand and category association
Caveat retention
Competitor intrusion
Raw timestamped transcripts

Track Your Story

Improve and re-test

Phase II

GEOGrow Action Plan

When AI does not understand the story correctly, GEOGrow identifies what to publish, clarify, cite, or structure next.

Included with recall tracking

Owned explainer recommendations
FAQ and answer-ready content
Schema and entity fixes
Citation gap analysis
Category-positioning opportunities
Re-testing after improvements

See How GEOGrow Helps

Stuff That Spins × GEOGrow

Structure the story. Track the memory.

Stuff That Spins extracts the claim, frame, context, evidence, caveats, misconceptions, intended takeaway, and likely AI interpretation.

GEOGrow tests whether AI engines recall the story, cite the right sources, associate it with the right brand, and preserve the intended meaning.

Together, they answer the question communications teams increasingly need to prove:

Did the story enter AI memory—and did the right message come with it?

AI Recall Tracker

What AI Recall Tracker answers

Do AI engines know the story exists?
When was recall first observed?
Which models recall it?
Do they explain it accurately?
Does the intended message pull through?
Do they associate the topic with the right brand?
Which sources do they cite?
Do they preserve the caveats?
Are competitors receiving the credit?
Is the story improving, flattening, or drifting over time?

Explore AI Recall Tracker →

Public proof

See the system working in public

Stuff That Spins continuously structures public stories into SpinGraphs, exposing their claims, framing, evidence, omissions, likely AI repetition, and narrative risk.