Why Some Press Releases Generate 240× More AI Activity Than Others
- Melissa Strle
- 16 minutes ago
- 4 min read
Disclosure Intelligence Series
How disclosure works in modern capital markets
What separates exceptional announcements from the rest?
In a companion analysis, TMX Newsfile found little evidence that formatting techniques and keyword strategies alone increase AI visibility.
This raises a more important question: if formatting alone doesn't explain AI visibility, what does?
This study examines the characteristics associated with the announcements generating the highest levels of AI activity.
To answer this question, TMX Newsfile analyzed more than 9.3 million AI interactions across over 21,000 press releases published during the first half of 2026 to identify the characteristics associated with exceptional AI visibility.
The findings suggest that exceptional AI visibility is associated less with optimization techniques than with the significance of the information being disclosed.
240× Difference Between Typical and Exceptional AI Activity
AI Activity in Press Releases is Highly Concentrated
Most press releases generated similar levels of AI activity.
However, AI activity was not evenly distributed. A relatively small number of announcements accounted for a disproportionate share of total AI activity. These high-performing announcements significantly outperformed the broader dataset.
This pattern suggests that exceptional AI visibility is associated with characteristics found in a relatively small subset of announcements rather than factors common to all press releases.
Identifying the characteristics shared by those high-performing announcements was the focus of the analysis.
This concentration creates a wide performance gap across the dataset. At the extreme, the highest-performing announcements generated more than 240 times the AI activity of a typical press release, reinforcing how a small number of releases drive overall visibility.
Material Corporate Developments Stand Apart
One of the most consistent characteristics associated with the highest performing announcements was the communication of significant corporate developments.
Across the dataset, exceptional AI activity was consistently associated with announcements involving major commercial agreements, strategic transactions, financing events, legal outcomes, and other developments with broad market significance.
Examples from the dataset include Gorilla Technology Group's announcement of a US$2 billion AI infrastructure agreement with Supermicro and Sigma Lithium's announcement regarding a significant increase in investment by A10 Global Fund, accompanied by a detailed explanation of the company's investment thesis and long term growth outlook. Both generated AI activity many times greater than a typical press release, despite communicating very different types of corporate developments.
These examples illustrate a broader pattern observed across the dataset rather than isolated cases. Their performance was not associated with unusually high keyword repetition or specialized formatting techniques, but with the significance and market relevance of the information being disclosed.
This suggests that AI systems respond most strongly to announcements containing information with broad market relevance rather than routine corporate updates.
"Performance varies across industries, but the highest levels of AI activity are ultimately driven by a small number of high-performing releases."
Industry Establishes Different Performance Baselines
While exceptional announcements generated the highest levels of AI activity, industry also provided an important baseline for comparison.
Across the first half of 2026, several sectors consistently generated higher average AI activity per press release than others.
These differences likely reflect the types of information commonly disclosed within each industry, as well as varying levels of market attention.
Technology, biotechnology, blockchain, mining, energy, and several other sectors consistently generated higher average AI activity than many traditional industries.
These findings suggest that industry provides important context when evaluating AI activity. High performing announcements should be evaluated relative to others in their sector rather than against the entire dataset.
The chart below highlights the differences in average AI activity across the highest performing industries.
Comparing industries alone, however, does not explain all variation in AI activity. The analysis also identified meaningful differences based on issuer type.
Public and Private Issuers Display Different Patterns
Performance also differed between public and private issuers.
Across the H1 2026 dataset, private company press releases generated an average of 244 AI interactions per release, compared with 173 interactions for public companies.
This difference does not necessarily indicate that private companies communicate more effectively.
One possible explanation is that private companies often issue press releases around major corporate milestones, while public companies also distribute a larger number of routine regulatory announcements, financial filings, governance updates, and other operational disclosures.
As a result, the mix of announcements included within each issuer group may contribute to the higher average AI activity observed among private companies.
These findings suggest that issuer type also provides important context when evaluating AI activity. A press release should be assessed relative to similar announcements rather than across all companies.
What Sets High-Performing Press Releases Apart?
The analysis suggests that high-performing announcements share several characteristics. They typically communicate material developments, outperform their industry's typical baseline, and attract substantially greater AI activity than the average press release.
What This Means for Issuer Teams
Improving AI visibility appears to depend more on communicating meaningful developments than on optimizing formatting or keyword placement.
Issuer teams should focus not only on how announcements are distributed, but also on whether they communicate information likely to be recognized as significant within their industry.
As AI becomes an increasingly important channel for corporate information, understanding the characteristics associated with exceptional AI visibility can help organizations produce disclosures that resonate with both human and AI audiences.
Unlike formatting techniques or keyword repetition, exceptional AI visibility appears to be driven less by optimization tactics than by the significance of the information being disclosed. Across the dataset, announcements communicating material developments consistently generated higher AI activity than routine disclosures.
Related Reading
Our companion analysis examines whether formatting techniques and keyword strategies influence AI visibility.
