An AI press release is a press release drafted with AI assistance and structured for two readers at once: a journalist deciding whether to cover it, and an AI engine deciding whether to cite it.

The drafting part is now routine. Most comms teams run a first pass through ChatGPT or Claude before a human touches it. The structuring part is where most releases still fail — a release written for a person’s eye and a release written for a machine’s parser follow the same rules. Reporters and AI engines both want the fact first, the attribution clear, the boilerplate self-contained. Get the structure right once and it works for both.

What AI Does Well — and Where It Breaks

AI drafts a competent skeleton fast. Feed it the basic facts and it produces a headline, a lead, a quote placeholder, and a boilerplate in under a minute. Real time saved on the parts of the release that are mostly formatting.

What it cannot do is invent the specific. AI has no access to your actual revenue number, your CEO’s actual sentence, or the actual data point that makes an editor stop scrolling. Left alone, it fills those gaps with language that sounds like news and says nothing: “significant growth,” “industry-leading,” “excited to announce.” Every generic phrase is a hole where a fact should be.

The fix is sequence. Draft the skeleton with AI. Then replace every placeholder with a real number, a real quote from a named executive, and a real detail a reporter could verify. A release with one specific number in the headline and one attributed quote in paragraph three beats a release with five paragraphs of AI-smoothed prose and no verifiable fact in it.

Structuring the Release So Machines Can Parse and Cite It

AI engines summarize press releases the same way they summarize any web page: they look for a clear claim near the top, a source they can attribute it to, and a self-contained paragraph they can quote without needing the rest of the page for context. A release built around a HowTo-style sequence gives them exactly that.

  • Put the number in the headline. “Company Raises $40 Million Series B” gets cited. “Company Announces Funding Milestone” does not.
  • Open with the fact. First sentence: who did what, when, with the core number. Save context for sentence two.
  • Attribute every quote by full name and title. “A spokesperson said” is unusable to an engine looking for a source. “Maria Chen, Chief Executive Officer of Acme Corp, said” is a citable sentence on its own.
  • Write the boilerplate to stand alone. It should make sense with no other paragraph attached — because that is often the only paragraph an engine lifts.
  • Include a dateline and direct contact information. Both mark the release as a primary source document, which machines and reporters both weight heavily.

The template I have my team fill in, in order:

TEMPLATE — PRESS RELEASE SKELETON

HEADLINE: [Number or core fact] + [what happened]. Lead with the figure that matters most. Example: Acme Corp Raises $40 Million to Expand AI Communications Platform

DATELINE: [CITY, State], [Month Day, Year] —

LEAD PARAGRAPH: [Company name] today [announced/launched/closed] [specific action], [core number or fact], [why it matters in one clause]. One sentence. All the news in it.

QUOTE BLOCK: “[Direct quote making a substantive claim],” said [Full Name], [Full Title] of [Company]. “[Second sentence adding a detail or forward-looking point].”

BOILERPLATE: [Company name] is a [one-sentence description of what the company does and for whom]. Founded in [year], the company [one additional fact: scale, headquarters, notable clients]. Learn more at [URL].

CONTACT: [Full Name] | [Title] | [Email] | [Phone]

Fill every bracket with a fact before it goes out. If a bracket cannot be filled with something specific — cut the sentence.

The Traps

Publishing the AI draft unedited. Generic language reads as generic to a reporter and gets deprioritized by an engine looking for a distinct, citable claim.

Burying the number. A release that saves the key figure for paragraph three loses both the reporter skimming the inbox and the engine scanning for the lead fact.

Vague attribution. “A company representative” or “sources say” gives an AI engine nothing to cite and gives a reporter no one to call back.

A boilerplate that depends on the rest of the release. If the boilerplate needs the headline or the lead to make sense, it fails the one job it has — describing the company on its own.

Skipping the dateline and direct contact. Both are small signals of a primary source, and machines and reporters both use small signals to decide what to trust.

FAQ

Can AI write a full press release on its own? It can produce a structurally correct draft. It cannot supply real quotes, real numbers, or verified facts — so a fully AI-written release without human input on the specifics reads as generic and gets treated that way by editors and engines alike.

Does AI-drafted content hurt how AI engines treat the release? Engines deprioritize a release that lacks a specific, attributable claim. AI-assisted drafting produces that problem when the placeholders never get replaced with real facts before publication.

What is the single highest-leverage change? Put a real number and a real name in the first two sentences. Engines and reporters both extract from the top of the document first — and a specific fact up top gets pulled into more places than a well-written paragraph buried on page two.