PR Tips · August 11, 2026

The SPAC Citation Audit

By Virgo PR Editorial

The SPAC Citation Audit

How AI Engines Describe De-SPACed Companies 12+ Months Post-Close

2026 Virgo PR Original Research | August 2026

This study is part of the Virgo PR research franchise on how AI engines shape capital markets. See also: The Chatbox Is the New Broker | The AI Earnings Call Index | The AI Short-Seller Index | The Disclosure→AI Comprehension Gap | The Analyst Disappearance | The Crypto Token AI Comprehension Index

Executive Summary

Do AI Engines Know the SPAC Is Over?

SPACs were supposed to be a vehicle, a faster path to public markets. The deal closes, the ticker changes, the company operates. The blank-check entity ceases to exist.

Except inside AI engines, it doesn't.

This research audits 30 de-SPACed companies across ChatGPT, Claude, Gemini, and Perplexity, all at least 12 months post-close, to measure whether AI engines describe the company as an operating business or still lead with the SPAC transaction. We scored each company on a 100-point Virgo SPAC Narrative Persistence Score measuring how sticky the SPAC label remains in AI-generated descriptions.

Key Finding: 67% of de-SPACed companies are still primarily identified by their SPAC origin in at least two of four AI engines. The average Narrative Persistence Score is 61/100, meaning AI engines are more likely to describe what a company was than what it does.

Methodology: The Virgo SPAC Narrative Persistence Score

Each company scored 0–100 across four weighted dimensions:

1. Lead Description Test (40 points): Does the AI engine's first sentence describe the company's business, or the SPAC deal?

2. Transaction Detail Retention (25 points): Does the engine cite SPAC-specific details, sponsor name, deal valuation, pipe size, redemption rate?

3. Ticker Confusion (20 points): Does the engine reference the old SPAC ticker or confuse pre-close and post-close corporate identity?

4. Temporal Framing (15 points): Does the engine describe the company in present-tense operating language, or past-tense deal language?

Score interpretation: 0–25 = Clean. 26–50 = Residual. 51–75 = Persistent. 76–100 = Trapped.