How to use AI to write press releases that journalists actually read

The email subject line read "Revolutionary New Platform Changes Everything." The press release inside mentioned "synergistic solutions" three times and buried the actual news , a $2.3 million Series A funding round , in paragraph four. It landed in the trash with 47 others that morning.

Most press releases die because they sound like press releases. They follow a template designed to make brands feel important, not to give journalists something they can use. The ones that get picked up read like news stories that happen to be about your company.

AI can write press releases faster than any human. The question is whether it can write them better , meaning specific enough for the journalist's beat, relevant enough for their audience, and written like actual news instead of marketing copy dressed up with "FOR IMMEDIATE RELEASE" at the top.

What journalists actually want (and it's not what you think)

Journalists don't want your brand story. They want a story their readers will care about that happens to involve your brand.

Sarah Chen, technology reporter for TechCrunch, gets 200+ press releases per day. She opens maybe 30. "I'm looking for something my readers haven't seen yet , a trend, a problem being solved in a new way, data that changes how we think about something. Most releases just announce that a company exists."

The releases that work give her three things immediately: what happened, why it matters to her beat, and which angle she can take that her competitors won't. Everything else gets deleted before she finishes the subject line.

This creates a specific writing problem. You need to sound like news, not marketing. You need to lead with what matters to their audience, not what matters to you. And you need to do it fast enough to stay competitive but specific enough to avoid sounding like every other AI-generated press release that crosses their desk.

Why generic AI press releases fail immediately

Generic AI tools approach press releases like Mad Libs. Fill in the company name, the announcement, add some industry buzzwords, format it properly. The output follows AP style and includes all required elements.

It also sounds exactly like AI wrote it.

The problem starts with context. Standard AI doesn't know your company sells custom inventory management software for mid-sized restaurants, not "business solutions for the hospitality industry." It doesn't know your CEO spent five years as a line cook before starting the company, or that your biggest client just expanded to 40 locations using your system.

These details matter because they're what separate news from announcements. "Local startup raises $2M" is an announcement. "Former line cook's inventory software helps restaurants reduce food waste by 30%, raises $2M to expand beyond Pacific Northwest" is news.

The second version gives journalists an angle they can work with. It connects to broader trends they're already covering. It includes specific, verifiable claims they can build a story around.

The framework that makes press releases newsworthy

Every press release that gets coverage answers the same question upfront: what changed in the world today? Not what your company did, but what shifted in reality that affects the journalist's readers.

Start with the change. "Restaurant food waste dropped 30% at locations using automated inventory tracking" leads with the outcome. "TasteTech announces new restaurant management platform" leads with the company.

Then connect that change to something bigger. Food waste connects to sustainability, labor costs, supply chain efficiency. Your specific solution becomes evidence of a larger shift worth writing about.

The company information comes third , who made this change possible, what they do, how they're different. By then, the journalist already knows why their readers should care.

Writing the lede that gets journalists to paragraph two

Your first paragraph has one job: make the journalist read the second paragraph. Everything else , company background, funding details, executive quotes , can wait.

Bad first paragraph: "Seattle-based TasteTech today announced the completion of its Series A funding round, led by Northwest Ventures, to accelerate growth in the restaurant technology sector."

Good first paragraph: "Restaurants using automated inventory tracking reduced food waste by an average of 30% while cutting labor costs 15%, according to new data from 200+ locations across the Pacific Northwest."

The second version creates immediate interest. It includes specific numbers that journalists can fact-check. It suggests a trend worth investigating. The company behind the data matters, but the data matters more.

And yes, this means burying your company name deeper than you'd prefer , that's the cost of sounding like news instead of marketing.

How AI can write better press releases when it knows your business

The best AI press releases don't sound AI-generated because they start with real business context instead of generic templates. When AI knows your actual products, customer base, and competitive position, it can write about them specifically.

BrandDraft AI reads your website before generating anything, so the output references actual product names, customer types, and business metrics instead of generic industry language. The result sounds like someone who understands your business wrote it, not someone filling in blanks.

This matters most in the details that make stories credible. Instead of "helping businesses across various sectors," AI that knows your business writes "helping mid-sized restaurant chains reduce inventory costs." Instead of "innovative approach to common challenges," it writes "automated reorder points that adjust based on historical sales data and seasonal trends."

Specific details give journalists confidence they're dealing with a real story, not a marketing exercise.

The quotes that actually add something

Most press release quotes could come from any CEO at any company. "We're excited about this opportunity to serve our customers better and accelerate growth in this important market segment."

Useful quotes either explain what the announcement means or predict what comes next. They don't just celebrate , they inform.

Good quote: "Three years ago, restaurants were tracking inventory with clipboards and guesswork. Now they have real-time data on every ingredient. The next step is connecting that data to supplier networks so reorders happen automatically."

That quote gives journalists context for why this matters and where the industry is heading. It positions the CEO as someone who understands the bigger picture, not just someone happy about raising money.

Distribution that doesn't waste the good writing

The best-written press release fails if it reaches the wrong journalists or gets buried in their inbox with 200 others.

Research which reporters cover your space specifically, not just your industry generally. Technology reporters at local papers care about different angles than SaaS reporters at trade publications. The restaurant technology beat is different from general restaurant coverage.

Send to fewer people with more relevance. Five journalists who cover exactly your beat will give you better results than 500 generic media contacts.

Subject lines matter more than you think. "TasteTech raises $2.3M Series A" tells them nothing they don't already know from the sender name. "Restaurant food waste drops 30% with automated inventory tracking" tells them why they should care before they open it.

Most press releases compete on volume. The ones that work compete on relevance. Write for the journalist who covers your specific beat, not for every journalist who might theoretically be interested.

The goal isn't getting your press release published. It's getting your story told in a way that makes people want to know more about your business. That happens when journalists see news worth reporting, not announcements worth ignoring.