How to Use AI for Press Release Writing (Step-by-Step)

Using AI for press release writing can cut your drafting time from hours to minutes—without sacrificing credibility—if you give the model the right inputs, guardrails and review process. This guide shows a practical, repeatable workflow you can use in Gen AI Last to generate a journalist-friendly press release, create supporting visuals and video/audio assets, and produce outreach copy that improves pickup.

What AI can (and cannot) do in press release writing

A press release is not just “marketing copy”. Reporters look for clarity, verifiable facts, relevance, and a clean structure they can lift into an article. AI is brilliant at drafting, restructuring, tightening language, generating variants and repurposing content. It is not a substitute for verified information, approvals, or legal/compliance checks.

• AI is great for: headlines, leads, quote options, boilerplates, fact sheets, FAQs, social snippets, and email outreach.
• AI struggles with: unverified claims, sensitive legal language, embargo rules, accurate numbers you have not provided, and context-specific regulatory requirements.
• Your job: provide accurate inputs, set constraints (tone, audience, style), then review like an editor.

If you want a single place to do the drafting and create supporting PR assets (images, video snippets, voice-over for a media kit), explore our AI content tools.

Before you prompt AI: collect the PR “source pack”

The fastest way to get a strong AI draft is to provide a tight source pack—facts and decisions the model can rely on. Think of this as what you would hand a junior PR executive before they start drafting.

Source pack checklist

• Announcement type: product launch, funding, partnership, executive hire, milestone, event, research, CSR, award.
• Who/what/when/where: the essential facts, including location and date format.
• Why it matters: the news angle and the reader benefit (time saved, cost reduced, risk reduced, access improved).
• Proof points: metrics, customer results, third-party validation, methodology, availability, pricing, timeline.
• Quotes: name, title, company, what you want each person to say (CEO, partner, customer). Provide real opinions; avoid puff.
• Boilerplate: 2–4 sentences about the company; link to press kit or website.
• Media contact: name, email, phone, time zone.
• Restrictions: words to avoid, compliance disclaimers, embargo time, markets, approved claims.

Once you have this, AI becomes a drafting engine rather than a guessing engine.

The ideal AI workflow for press release writing (7 steps)

Below is a workflow you can repeat for every announcement. The examples are written as prompts you can paste into Gen AI Last’s AI Text Generation and adjust.

1) Generate the angle first (not the full release)

Many weak press releases fail because the angle is fuzzy. Start by asking AI to propose news angles and the best one for a specific audience (tech press, local press, trade publications, investors).

Example prompt (angle options):
You are a PR editor. Based on the source pack below, propose 5 distinct news angles suitable for journalists. For each angle: target outlet type, the one-sentence hook, and what proof points to emphasise. Keep it factual and avoid hype. Source pack: [paste your facts].

Pick one angle and lock it. Everything else should support it.

2) Create headline + subheadline variations

A strong headline is specific and news-led. Ask AI for multiple options constrained by length and style.

• Aim for 70–110 characters for the headline.
• Use a subheadline to add the most compelling proof point (availability date, metric, partner name).

Example prompt (headlines):
Write 12 press release headline options and 6 subheadline options. Requirements: UK English, factual tone, no superlatives, include the company name and the core announcement. Keep headlines under 110 characters. Source pack: [paste].

3) Draft a journalist-friendly lead (the first paragraph)

Your lead should answer the most important questions immediately: who is doing what, and why it matters now. AI can write a clean lead if you specify structure.

Example prompt (lead):
Draft 3 alternative leads for a press release using inverted pyramid style. First sentence must include: company, announcement, location, and date. Second sentence must include the key benefit and one proof point from the source pack. Avoid marketing language. Source pack: [paste].

4) Build the body with proof points and context

Ask AI to create a structured body: a short context paragraph, then bulletable facts. This makes the release easier to scan and easier to repurpose.

Example prompt (body structure):
Write the body of the press release in 3–5 short paragraphs. Include: (1) context on the problem, (2) what’s new, (3) how it works at a high level, (4) availability/pricing/timeline, (5) one paragraph on who it’s for. Use only facts provided. Include a section titled “Key details” as bullet points (6–10 bullets). Source pack: [paste].

5) Generate quotes that sound human (then rewrite with real intent)

AI is excellent at generating quote options, but you should steer it away from generic lines like “we are thrilled”. Provide the point of view you want each person to express.

• CEO quote: vision + why now + customer outcome.
• Product/engineering quote: technical credibility + what’s different.
• Partner/customer quote: real-world impact + specific result.

Example prompt (quote options):
Write 6 quote options for [Name, Title] and 4 quote options for [Name, Title]. Constraints: UK English, conversational but professional, 25–45 words each, must reference a specific outcome or proof point from the source pack, avoid clichés (“thrilled”, “game-changer”, “best-in-class”). Source pack: [paste].

Pick one quote per spokesperson and edit it so it matches how they actually speak. This is one of the easiest ways to keep the release authentic.

6) Add boilerplate, media contact, and optional FAQ

Reporters often scroll to the bottom to understand the company quickly. Keep the boilerplate tight and factual. If your announcement is complex (funding rounds, research, regulated products), include a short FAQ for clarity.

Example prompt (boilerplate + FAQ):
Write a 60–90 word company boilerplate in third person, factual tone, no fluff. Then write a 6-question media FAQ focusing on what journalists will ask (pricing, availability, who it’s for, methodology, competitors, limitations). Use only source pack facts. Source pack: [paste].

7) Create the distribution assets: outreach email, social copy, and media kit notes

A press release alone rarely gets pickup. You also need the outreach email subject lines, a short pitch, and assets that make the journalist’s job easier.

1. Pitch email: 90–140 words, one clear angle, one proof point, and an offer (interview, demo, data).
2. Subject lines: 6–10 variants, factual and specific.
3. Social snippets: LinkedIn post, X thread, and a short founder post.
4. Media kit: 3–5 key screenshots/visuals, a short demo clip, and a one-paragraph “what to say on air” note.

Example prompt (outreach pack):
Create a PR distribution pack for this announcement. Output: (1) 10 subject lines, (2) a 120-word journalist pitch email, (3) a 180-word LinkedIn post, (4) 6 X posts, (5) a one-paragraph note for a spokesperson interview. Keep it factual and consistent with the press release. Source pack: [paste].

A proven press release template (AI-friendly structure)

When you standardise your structure, AI outputs become more consistent and review becomes faster. Use this outline as your default:

• Headline
• Subheadline
• Dateline: CITY, Country — Date
• Lead paragraph: who/what/when/where + why it matters
• Body paragraphs: context, details, how it works, who it’s for
• Key details: bullets (availability, pricing, compatibility, timelines)
• Quotes: 1–2 spokespersons
• About [Company]: boilerplate
• Media contact: name, email, phone
• Optional: FAQ or resources (press kit link, images, demo)

In Gen AI Last, you can save your favourite prompt pattern and reuse it for future releases so your team maintains a consistent PR style.

Practical example: prompt pack you can reuse in Gen AI Last

Below is a reusable “master prompt” approach. Replace the placeholders with your source pack. The key is to tell the model to only use provided facts and to flag missing information.

Reusable master prompt:
You are an experienced PR editor. Write a press release in UK English for the announcement below. Requirements: inverted pyramid style, factual tone, no hype, no unverified claims. Use only the facts given; if information is missing, insert [NEEDS CONFIRMATION]. Output in this exact order: Headline, Subheadline, Dateline, Lead paragraph, 3–5 body paragraphs, “Key details” bullet list (6–10), 2 quotes, “About [Company]” boilerplate (60–90 words), Media contact. Source pack: [paste].

After generating the draft, run a second prompt to tighten it:

Editing prompt:
Act as a newsroom copy editor. Tighten the press release for clarity and brevity without removing key facts. Remove clichés, reduce adjectives, ensure each paragraph adds new information. Keep UK spelling. Provide a revised version and then list 10 edit notes explaining what changed.

How to fact-check and humanise an AI-written press release

E-E-A-T matters in PR because journalists can spot vague claims instantly. Use this checklist before sending anything out.

Verification checklist

• Every number has a source: revenue, growth, customers, performance metrics, dates.
• Claims are attributable: “According to…”, “In a pilot with…”, “In internal testing…”
• No absolutes: remove “best”, “first”, “only” unless you can prove them.
• Quotes sound real: add a point of view, a trade-off, or a specific detail.
• Readability: short sentences, clear nouns, minimal jargon.
• Compliance: regulated industries need legal review; add required disclaimers.

A useful tactic: ask AI to act as a sceptical reporter and identify weak spots.

Sceptical reporter prompt:
Review this press release as a journalist. List: (1) claims that require evidence, (2) likely questions, (3) unclear phrases, (4) missing details that would prevent coverage. Then suggest exact edits to fix them.

Go beyond text: use AI to create a stronger media kit

Press coverage often depends on whether you can provide ready-to-use assets quickly. Gen AI Last includes text, image, video, and audio generation in every plan, so even small teams can deliver a full media kit without a large budget.

AI images for press coverage

Create clean, editorial-friendly visuals: product mock-ups, lifestyle shots, feature callouts (without text overlays), or “in use” scenarios that make the story tangible.

• Create 3–5 image options in a consistent style.
• Avoid text-heavy graphics; editors prefer clean images.
• Include both landscape and square crops where possible.

AI video for a quick demo clip

A 20–40 second product demo or explainer reel can increase interest, especially for digital outlets. Keep it simple: the problem, the “new thing”, and the outcome.

• Create one short social reel and one slightly longer explainer.
• Focus on clarity over cinematic effects.

AI audio for spokesperson snippets

If you need a clean voice-over for a demo or a short “radio-ready” quote for internal use, AI audio can help you prototype quickly. Always ensure you have the right approvals and disclose synthetic audio if required by your organisation’s policies.

Common mistakes when using AI for press release writing (and fixes)

• Mistake: Asking AI to “write a press release” with no facts. Fix: Build a source pack and instruct “use only provided facts”.
• Mistake: Over-hyped language. Fix: Add constraints: “no superlatives, no clichés, factual tone”.
• Mistake: Weak quotes. Fix: Provide a real POV and ask for multiple options with word limits.
• Mistake: Missing “why now”. Fix: Prompt for the news peg and proof points.
• Mistake: One-size-fits-all distribution. Fix: Generate variants for different outlet types and audiences.
• Mistake: No assets. Fix: Generate images/video/audio that support the story and add a media kit link.

How to measure success and iterate with AI

AI makes iteration easy. Track what changes improve results and update your prompts accordingly.

1. Response rate: opens and replies to your pitch email by outlet type.
2. Pickup quality: top-tier mentions vs low-value syndication.
3. Message pull-through: do articles include your key proof point and positioning?
4. Time-to-publish: how quickly you can provide assets and answers.

Then prompt AI with the outcomes: “Rewrite the pitch for trade press”, “Shorten the release by 20%”, “Create a more data-led angle”.

Use Gen AI Last to write, package, and ship PR faster

If you are a startup or small team, the challenge is rarely creativity—it is bandwidth. Gen AI Last helps you generate the press release draft, create outreach emails and social posts, and produce supporting visuals, short videos, and voice-overs in one platform.

• Draft faster with AI Text Generation (release, quotes, boilerplate, pitch emails).
• Build a media kit with AI Image, Video and Audio generation.
• Keep costs predictable: one subscription includes all features.

You can start creating for free, then view pricing from $10/month when you are ready to scale output.

Quick recap: the best way to use AI for press release writing

• Start with a source pack so the draft is grounded in verified facts.
• Use AI to generate angles, headlines, leads and quote options—then edit for authenticity.
• Standardise your structure and run a “copy editor” pass.
• Create a complete distribution pack: pitch email, social snippets, and a simple media kit.
• Measure results and refine prompts for each outlet type.

With a repeatable workflow and the right guardrails, AI becomes the most practical way to produce professional press releases consistently—without the typical bottlenecks.

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