You can use AI for press release copywriting by treating the model as a junior writer who needs a tight brief, a strong example, and a clear approval workflow. Give the tool your announcement facts, your boilerplate, and one past release you actually liked. Then ask for a first draft, edit for voice and accuracy, and run a final pass to check quotes, numbers, and names. The output is a release that reads like your team wrote it, in a fraction of the time.

This works because press releases follow a predictable structure. The five Ws, the inverted pyramid, the boilerplate at the bottom. AI is well suited to that scaffolding. The part it cannot do is decide what is actually newsworthy, gatekeep sensitive claims, or replace your legal review. That’s where you stay in control.

Why Press Release Copywriting Is a Good Fit for AI

Most business owners and comms leads spend more time on press releases than the format deserves. A routine product update, a hire, a funding round, a partnership. The structure barely changes between them. The facts are usually sitting in a Slack thread or a Notion doc already. What’s missing is the writing muscle to turn those facts into a 400-word piece that sounds like a press release and not a blog post.

That’s the gap AI fills well. The format is standardized. The inputs are factual. The output has a clear “done” state. Compare that to a thought leadership essay, where you need an original point of view, or a sales page, where you need persuasion and objection handling. A press release is closer to a structured data transform than a creative writing task.

The business case is straightforward. If your team spends 3 hours on a release that lands on a slow news day, you’ve probably spent 4 hours. If you spend 45 minutes with AI and 30 minutes editing, you’ve freed up two hours per release. Across a quarter of routine announcements, that’s a full work week back. The risk is low because the format is forgiving and the audience is already primed to read in that register.

There’s also a quality upside that gets overlooked. A good AI workflow forces you to write down your facts, your boilerplate, your quotes, and your tone reference before you start. That discipline alone catches missing details. Most mediocre press releases fail not because the writing is bad but because the inputs were sloppy. The brief is the work.

What You Need Before You Start

You don’t need a fancy setup. You need four things ready before you open the model.

First, your facts. Write down who, what, when, where, why, and how in plain bullets. Include the headline announcement, the date, any numbers, the names of people involved, and any partner or customer quotes. If a fact isn’t in your notes, it doesn’t go in the release.

Second, your boilerplate. Pull the “About Company” paragraph from your last approved release. AI will recycle it word for word if you let it, which is exactly what you want. A stale boilerplate is the most common sign of a weak release.

Third, a tone reference. Pick one past release you actually liked. Paste it in. Tell the model what you like about it, in plain language. “Short sentences. Confident tone. No marketing fluff.” That sentence does more work than any prompt engineering trick.

Fourth, your guardrails. Decide upfront what the model is allowed to invent. The answer should be nothing. Quotes, numbers, names, dates, and product claims must come from your inputs. The model is allowed to rearrange, condense, and tighten. That’s it.

Step-by-Step: The Workflow That Actually Works

Here’s the workflow I recommend. It assumes you’re using a frontier model like Claude or GPT-4 class, but the same logic applies to any tool with a long context window.

Step 1 is the brief. Write a paragraph that includes the announcement, the audience, the angle, and the publication target. If the release is going to a trade outlet, say so. If it’s a local business wire, say so. Outlet matters because trade press tolerates jargon and local press doesn’t.

Step 2 is the inputs. Paste your facts, your boilerplate, your tone reference, and any approved quotes into the prompt. Structure it like this.

“You are writing a press release for [Company]. Tone reference: [paste the release you liked]. Boilerplate: [paste here]. Facts: [bulleted list]. Approved quotes: [paste them verbatim]. Output format: headline, dateline, lead paragraph, body, boilerplate, contact. No invented quotes. No invented numbers. If a fact is missing, write [TK] in the draft.”

The [TK] marker is a journalism convention for “to come.” It tells your editor exactly where to fill in later. It also stops the model from hallucinating a plausible-sounding number.

Step 3 is the first draft. Ask for a 350 to 450 word release. Specify the angle. If you want the funding angle to lead, say so. If you want the customer impact angle to lead, say so. The model defaults to the most obvious framing, which is usually the company-centric framing. You almost always want something else.

Step 4 is the fact-check pass. Read the draft side by side with your inputs. Every quote must match word for word. Every number must match. Every name must match. Every product feature claim must match. If something doesn’t match, delete it. Don’t fix it, delete it. A press release with a [TK] is shippable. A press release with a wrong number is a retraction.

Step 5 is the voice pass. Read it out loud. Does it sound like your company or does it sound like a press release? Those are different things. If it sounds generic, give the model one specific note. “Tighten the lead. Cut the second paragraph. Replace ‘leverages’ with ‘uses’.” Iterate once or twice. Don’t iterate ten times. You’ll start overfitting to the model’s voice and losing your own.

Step 6 is the legal and approval pass. Send the draft to whoever signs off. Quote approval from the person quoted. Legal review if there’s any claim about market size, customer count, or product capability. This step does not change because you used AI. If anything, it gets faster because the draft is closer to final.

Step 7 is the distribution decision. AI cannot decide where to send the release. That’s a judgment call based on your announcement type, your target audience, and your relationships. Don’t outsource that to the model.

The Prompt That Produces the Best First Drafts

The single biggest variable in release quality is the prompt. Here’s a template you can adapt.

“Write a press release for [Company]. Headline announcement: [one sentence]. Target publication: [name or type]. Target word count: 400. Tone: [two adjectives, e.g. direct, confident]. Use this past release as a tone reference: [paste]. Use this boilerplate verbatim: [paste]. Use only these facts: [paste]. Use only these quotes: [paste]. If a fact is missing, mark it [TK]. Do not invent quotes, numbers, names, or product claims. Open with the most newsworthy angle, not the company bio.”

Two things make this template work. First, the tone reference steers the model away from default corporate voice. Second, the explicit prohibition on invention forces the model into a reshape job rather than a hallucination job. The model is good at reshape. It’s bad at hallucination. Lean on what it’s good at.

If you want a second opinion on the draft, ask the model to read it as a journalist. “Here is a draft press release. Pretend you are a trade journalist. What claims would you question? What facts are missing? What angle would you lead with?” That pass surfaces weak spots that you, as the person who wrote the brief, are too close to see.

Common Mistakes and How to Avoid Them

The first mistake is letting the model write the lead. The lead is the most important sentence in the release. It’s also where the model is most likely to default to corporate-speak. Always write the first sentence yourself, or at least rewrite the model’s first sentence before you do anything else. If the lead doesn’t pass the “would I read this in a news app” test, start over.

The second mistake is accepting the model’s quotes. AI-generated quotes sound like AI-generated quotes. They are smooth, on-message, and completely empty. Every quote in the release must come from a real person who said they would be quoted. If you don’t have a real quote, leave the quote out or write “[Quote pending approval from X].” Never let the model fill in a fake quote for you.

The third mistake is skipping the boilerplate paste. The boilerplate is the About Company paragraph at the bottom. Every release needs one. If you don’t provide it, the model will write a new one each time, and your releases will sound like they come from five different companies. Paste the real one. Every time.

The fourth mistake is iterating too many times. Three passes is the limit. After that, you’re polishing. The release is either good enough to send or it isn’t. More model iterations won’t fix a weak announcement. The announcement itself is the problem, not the wording.

The fifth mistake is using AI for the angle. The angle is the decision about what the story actually is. “We raised $10M” is not an angle. “Our $10M raise lets us expand into the UK market” is an angle. The model cannot make that decision for you because it requires knowing your business, your strategy, and your audience. Decide the angle first. Then bring the model in for the execution.

The sixth mistake is treating AI as a replacement for distribution. A perfectly written release sent to the wrong outlet is a waste. The model can write. It cannot pitch. Keep those roles separate.

The seventh mistake is not version controlling the brief. If you write a good prompt, save it. If you find a tone reference that works, save it. If you build a boilerplate library, save it. The second release is much faster than the first release. The tenth release should take 20 minutes, not 90.

When Not to Use AI for Press Releases

There are a few cases where AI is the wrong tool. If the release involves a sensitive topic like a layoff, a leadership change under pressure, or a product recall, write it yourself. The stakes are too high and the tone is too delicate. If the release requires a quote from a customer or partner who is hard to get on the phone, AI cannot help. You need to talk to them. If the release is for a major announcement like an acquisition or an IPO, you need a professional comms team and lawyers. AI can help with first drafts, but the final version goes through formal channels.

For everything else, the routine announcements that fill up most weeks, AI is a strong fit. Product updates, hires, partnerships, event recaps, award wins, customer wins, office openings. These are the releases that eat up comms team time and rarely make the news. Use AI for these. Save your team’s energy for the announcements that actually matter.

A Realistic Time Estimate

Here’s what the workflow looks like in practice. Gathering facts: 15 minutes. Writing the brief: 10 minutes. First draft from AI: 5 minutes. Fact and voice pass: 20 minutes. Approval and quote confirmation: 15 minutes. Total: about 65 minutes for a routine release. Without AI, the same release typically takes 2.5 to 4 hours. That’s a real time saving, and the output is usually better because the structure is more consistent.

The first release you write with this workflow will take longer. You’ll be building the template, finding the tone reference, writing the boilerplate block. That investment pays back by the third release. By the tenth release, you have a library of approved components and the brief takes 5 minutes.

A Note on Tooling

Claude, GPT-4 class, and Gemini all handle this task well. The differences are small. Claude tends to be more literal about following instructions, which is what you want for press releases. GPT-4 is more flexible, which can be a problem when you want it to stay rigid. Gemini is improving quickly. Choose the tool you already have access to and learn its settings well. The best tool is the one you’ll actually use.

Temperature matters here. Set it low. 0.2 to 0.3. You want predictable, conservative output, not creative variation. A press release is not the place to roll the dice. Save the higher temperature settings for brainstorming and creative writing.

If you want to go further, build a custom prompt or a fine-tuned model that has your boilerplate, your tone reference, and your standard structure baked in. For most businesses, the simple template approach is enough. Get the workflow right first. Then optimize.

Putting It Together

AI for press release copywriting is a leverage play. You bring the judgment, the facts, the quotes, and the angle. The model brings the speed, the structure, and the consistency. The result is a release that gets written in roughly a third of the time, with a more consistent voice across announcements.

The discipline is in the brief. The guardrails are in the prompt. The trust comes from the fact-check pass. None of that is optional. Used carelessly, AI produces generic press releases that nobody reads. Used with a clear workflow, it produces clean, on-brand releases that go out faster and free up your team to focus on the announcements that actually need their brains.

Start with one release. Pick a low-stakes announcement. Run the workflow. Compare the output and the time to your last release. If the result holds up, build the template into your comms process. If it doesn’t, you’ll learn exactly where the model falls short for your business, which is useful information too.

Free download: Working With Claude — Field Guide We put together a practical guide covering this and more. Download it here.

For a structured walkthrough of building this into your operations, book a 60-min Omni Audit , https://calendly.com/sam-mckay/discovery-call?utm_source=edna-landing&utm_medium=blog&utm_campaign=product-keywords