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What Makes a Great Press Release? (Hint: It's Not What Your PR Firm Thinks)

May 2026·6 min read·By the AxonIR Team

A press release reaches two audiences simultaneously: human readers and NLP systems. Most IR teams write for the first and ignore the second. That is a structural error — algorithmic trading systems parse press releases within milliseconds of distribution, and the language, structure, and placement of data points determine whether your release generates a positive signal, negative signal, or no signal at all.

Wire Services Are Infrastructure, Not Strategy

PR Newswire and GlobeNewswire ensure distribution. They do not ensure impact. A release on the wire reaches every automated system instantly — but the content of that release determines what those systems do with it.

The distinction between a high-noise release and a high-signal release is structural:

High-noise releases:

High-signal releases:

The Headline Is Parsed First

NLP systems score the headline and first sentence with disproportionate weight. The body is parsed but weighted less. If your headline doesn't contain a specific, measurable signal, you've already lost most of the algorithmic impact regardless of what follows.

LOW SIGNAL

"Company Announces Exciting New Partnership"

HIGH SIGNAL

"Company Secures $4.2M Contract with [Named Entity], Expanding Enterprise Pipeline 35%"

LOW SIGNAL

"Company Provides Business Update"

HIGH SIGNAL

"Company Reports Q2 Revenue of $8.7M, Up 22% Year-Over-Year; Raises Full-Year Guidance"

Effective headline structures: "[Company] Reports [Metric] of [Number], [Comparison]" or "[Company] Secures [Dollar Value] [Contract] with [Named Entity]."

Quote Architecture

The CEO quote is the most consistently misused element in small-cap press releases. Compare these two versions:

"We are very pleased with our progress and excited about the opportunities ahead." — Low-signal quote. Contains zero information. An NLP system scores it as filler.
"Revenue exceeded our internal plan by 12%, and we expect operating breakeven in Q3 based on current backlog conversion rates." — High-signal quote. Contains a metric, a comparison, a forward statement, and a defined condition.

The second quote is exactly what institutional analysts and their systems look for. It answers three questions in two sentences: how did you do, relative to what expectation, and what comes next.

Timing

Distribution timing materially affects algorithmic response. Releases at 8:00–8:30 AM Eastern, before market open, generate significantly higher algorithmic and institutional response than releases during market hours or after the close. Pre-market releases give automated systems time to process and position before the first trade occurs. After-hours releases often get caught in the gap between the close and the following open, where lower volume reduces price discovery quality.

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This article is informational and not investment or legal advice. See our Disclaimer.

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