SOAR Content Framework™ Case Study: How To Maximize AI Visibility
A Notified study of 200,000+ GlobeNewswire press releases and 13 million+ AI citations reveals the key factors that boost AI visibility.
Our Profound partnership delivered 30 days of AI citation data, more than 13 million citations across all major LLMs, and a dataset of *200,000+ press releases to review.
The goal was simple: to determine what actually drives AI visibility.
Through this research, one press release stood out: a fourth quarter earnings release from American Battery Technology Company. Its performance was benchmarked against two other fourth quarter earnings releases: a sector peer and a nationally recognized B2C big-box retailer with far greater brand awareness.
The comparison revealed a consistent pattern: The most cited and surfaced content wasn’t tied to brand size, but to specific structural signals that answer engines favor.
These signals form the foundation of the SOAR Content Framework™ for all published content: Structure, Originality, Authority, and Recency, a practical model for maximizing visibility in AI-generated answers.
“A less widely known B2B brand can outperform a leading B2C retail brand, not because of size or budget but because of structure. That’s the democratization of visibility in action.”
*Global releases distributed across local, national and global circuits encompassing product, earnings and non-earnings announcements.
Public relations and corporate communications have traditionally focused on reaching journalists, analysts, and investors: human readers. But in today’s digital environment, AI systems are growing in prominence as new gatekeepers of visibility.
These systems determine which facts, quotes, and company updates appear in generative search results, summaries, and knowledge panels. To stay visible, communicators must now produce content that:
Is machine-readable and semantically structured.
Signals authority and trust through verified sources and metadata.
Maintains recency and reliability through consistent publication.
We set out to test this shift in real terms using data to understand how structure, clarity, and authority directly influence AI citation performance.
Identify which factors drive visibility in AI-generated results.
Validate the SOAR Content Framework™ with real-world data.
Understand how structured press releases perform across leading answer engines.
Using GlobeNewswire’s AI citation tracking, our team evaluated how structure, metadata, and authority signals influenced visibility across leading large language models (LLMs) including ChatGPT, Apple’s Siri, and Perplexity.
Each release was scored on two dimensions:
Visible Structure: Headline clarity, labeled sections, key metrics, and narrative order.
Invisible Structure: Metadata completeness, JSON-LD validity, and entity tagging accuracy.
To prove this, we asked ChatGPT to score the releases using a defined matrix of visible and invisible structural elements. Then, we back-tested that logic by force-ranking 150 press releases for LLM preference.
When we compared those rankings to actual AI citation counts, the results showed a strong positive linear correlation of 0.82, demonstrating that structure meaningfully predicts citation performance.
Press Release
*Each release distributed across U.S. National circuit.
In total, the GlobeNewswire press releases aligned with SOAR principles outperformed peers in AI citation frequency, longevity, and source diversity.
Overall Performance (30 Days):
284 average citations per release
13M+ total press release citations
398K+ long-tail citations (from releases older than 12 months)
The ABTC release, structured and optimized with SOAR fundamentals including a clear headline, key metrics, and valid metadata, achieved 3.4x more citations than a global retail leader and 23x the number of citations of a peer comparable release. This demonstrates how structure and authority signals can dramatically influence AI visibility, regardless of brand size or industry.
Viewing the GlobeNewswire data over a total of 45 days, it’s clear that a constant and steady stream of content is needed to remain visible in AI answers.
Additional insights include:
25% of citations are gained by day 7.
50% of citations are gained by day 18.
Releases still show citation life after the first 45 days, but on an extended long-tail basis. For example: This release from 2023 gained 50+ citations during our 30-day research window.
Moving forward, a longer measurement cycle is needed to account for AI citations vs. traditional PR measurement cycles.
Optimize for AI visibility. Download the checklist here.
