Phase II · Partnership Product · formerly AI Spin Tracker

AI Recall Tracker

Know when AI starts remembering your story.

Stuff That Spins turns your announcement into a structured Narrative Fingerprint. GEOGrow tracks when AI engines begin recalling it, what sources they cite, whether your brand gets credit, and whether the story is remembered accurately.

See when AI starts remembering your story — and whether it remembers the right version.

Traditional PR tracks coverage.
AI Recall Tracker tracks machine understanding.

From story → SpinGraph → AI Recall Timeline.

This is not a clipping report.

We are not just asking where your press release appeared. We are asking:

  • Do AI engines know the topic exists?
  • Do they explain it correctly?
  • Do they associate it with your brand?
  • Do they cite the right source?
  • Do they preserve the caveats?
  • When was accurate recall first observed?
  • Is the answer improving, degrading, or drifting over time?

Stuff That Spins × GEOGrow

Grow Where AI Looks

Stuff That Spins structures the story. GEOGrow tracks AI recall.

Stuff That Spins extracts the claim, frame, context, evidence gaps, and likely AI summary from a press release, article, announcement, or public narrative.

GEOGrow then tests whether ChatGPT, Claude, Gemini, Perplexity, Grok, and Google AI Overviews recall that story, cite the right sources, associate it with the right brand, and preserve the intended meaning.

Traditional PR vs. AI Recall Tracking

Traditional PR Tracking
AI Recall Tracking
Did we get coverage?
Did AI engines understand the story?
Which outlets mentioned us?
Which models recall the idea?
How many impressions?
When was recall first observed?
Did journalists repeat the claim?
Did AI repeat the claim accurately?
Did the release get picked up?
Did AI cite the source, SpinGraph, or media coverage?
What was the sentiment?
Did AI preserve the framing, caveats, and attribution?

Traditional PR tells you where the story appeared. AI Recall Tracker tells you whether the story entered machine memory — and whether AI remembers it correctly.

The Narrative Fingerprint

Before we track AI recall, we define exactly what AI should understand. For each tracked story, Stuff That Spins extracts:

Core claim
Supporting claims
Intended takeaway
Narrative frame
Spin tactic
Key entities
Source evidence
Missing context
Important caveats
Likely AI summary
Misconceptions to detect
Prompts AI should answer correctly

Powered by SpinGraph narrative intelligence — the structured asset AI Recall Tracker monitors over time.

What AI Recall Tracker Measures

For every tracked story, AI Recall Tracker generates monitoring prompts and scores recall, comprehension, and citation quality across leading AI answer engines.

ChatGPTPerplexityGeminiClaudeGoogle AI OverviewsCopilot

First Observed Recall

The first time an AI engine mentions the story, idea, claim, or topic.

First Accurate Recall

The first time an AI engine explains it correctly.

First Brand Association

The first time AI connects the topic to your brand, product, research, or announcement.

First Cited Recall

The first time AI cites a supporting source — SpinGraph page, press release, media coverage, or owned content.

Claim Retention

Whether the core claim survives in AI answers.

Frame Retention

Whether AI preserves the intended framing or changes it.

Caveat Retention

Whether important limits, warnings, or conditions are preserved.

Citation Quality

Whether AI cites authoritative, brand-owned, media, third-party, weak, or incorrect sources.

Competitor Intrusion

Whether competitors appear when AI explains your topic.

Memory Drift

Whether AI answers become more accurate, vague, distorted, or misattributed over time.

Sample Recall Report

Per tracked story — powered by GEOGrow.

Open live sample report →

AI Recall Status

Emerging

Your story is starting to appear in AI answers, but brand association is still weak and caveat retention is inconsistent.

AI Visibility Score

72/100

First Observed Recall

Perplexity July 6
Claude July 7
ChatGPT July 9
Gemini Not detected
Google AI Overview Not detected

Recall Accuracy

ChatGPT Partial
Claude Strong
Perplexity Strong but citation-dependent
Gemini Not detected
Grok High overstatement risk

Narrative Retention

Original frame: "AI compliance automation for banks"

AI frame: "risk reduction and audit workflow automation"

Frame retention: 81%

Citation Map

SpinGraph page cited 2 engines
Original release cited 1 engine
Media coverage cited 3 engines
Owned explainer cited 0 engines
Weak/irrelevant citation 1 engine

What AI Gets Wrong

  • • Models understand the category but overstate the maturity of the product.
  • • Models mention the claim but drop the regulatory caveat.
  • • Perplexity cites media coverage but not the original source.
  • • ChatGPT describes the idea but does not associate it with the brand.

Recommended GEOGrow Actions

  • → Publish an owned explainer with direct definitions and entity clarity
  • → Add FAQ schema addressing the regulatory caveat
  • → Strengthen SpinGraph page as primary citation target
  • → Create answer-ready content for high-intent prompts

The mock above is illustrative. View the full sample report with engine matrix, recall timeline, and citation map.

Define → Structure → Test → Track → Improve

Define

Tell us what you want humans and AI to understand

Structure

Create a SpinGraph and Narrative Fingerprint

Test

Run AI recall prompts across major engines

Phase II

Track

Monitor recall, citations, accuracy, caveat retention, and drift

Phase II

Improve

Use GEOGrow recommendations to close the recall gap

Phase II

What Brands Track

Product launches

Did AI understand what the product does and who it is for?

Category creation

Does AI associate your brand with the category you are trying to own?

Research papers

Do AI engines recall the finding accurately or overstate the result?

Crisis response

Has AI corrected the misinformation or is it still repeating the wrong claim?

Regulatory announcements

Does AI preserve the legal or compliance nuance?

Thought leadership

Is your point of view appearing in answers about the topic?

Competitive positioning

Are competitors being named instead of you when AI explains the idea?

Pricing Preview

Launch Package

$299/story · 30 days

SpinGraph + AI Recall Tracker — structure the story, then prove when LLMs begin recalling it. Powered by GEOGrow.

SpinGraph Report

$99/report

Turn one announcement into a structured, citeable Narrative Fingerprint.

AI Recall Tracker

$299/story · 30 days

Recall tracking only — for stories already structured elsewhere. Powered by GEOGrow.

Agency Recall Monitoring

$999/mo

Track multiple stories, topics, brands, claims, and competitors across AI engines.

Enterprise AI Memory Intelligence

$2,500+/mo

Ongoing AI recall, citation, drift, competitor intrusion, and narrative correction monitoring.

When AI remembers the wrong version

Your story entered AI answers — but recall is partial, citations are weak, or the framing drifted. AI Recall Tracker surfaces the gap between what you intended and what the machines remember. GEOGrow recommends fixes: stronger entity clarity, owned explainers, FAQ-style answers, improved schema, supporting content, and targeted prompts — then re-tests whether AI understanding improved.

See sample SpinGraph + GEOGrow layer → Join the Phase II waitlist →

Markdown (.md) · JSON-LD schema (.json) · Machine-readable for AI & GEO