500+ Media Outlets
82 Avg DR
Published in 48h

Machine Learning Press Release Distribution

Get featured on Machine Learning Media Outlets in 48 hours

Establish your Machine Learning company as a credible authority with guaranteed media placements. Announce new model releases, accuracy benchmarks, or platform updates on trusted news outlets your customers and investors read.

Get featured on

Business InsiderBusiness Insider
AP NewsAP News
TechCrunchTechCrunch
BenzingaBenzinga
GeekWireGeekWire

Why coverage matters in Machine Learning

Media coverage delivers compounding returns for Machine Learning companies, from credibility and search rankings to AI visibility.

Build Credibility for Complex Technology

Media coverage from trusted publishers validates your ML models and platform. It provides the social proof needed to build trust with investors, enterprise clients, and technical talent.

View sample report →

Gain High-Authority SEO Backlinks

Every press release includes permanent, indexed backlinks from domains with DR 70-92. These links are powerful signals to Google, improving your site's ranking and domain trust.

Check your domain rating →

Appear in AI Overviews and Chat

Get your Machine Learning company cited as a source in ChatGPT, Perplexity, and Google AI Overviews. Coverage on trusted news sites trains these models to recognize and reference your brand.

Check case study →
Packages by Industry

Pick a Plan & Get Published

Each industry gets a curated set of media outlets and directories. Select yours to see exactly what's included.

SaaS Directory Package

Submit to 100+ SaaS directories & platforms

GeekWire
SourceForge
BetaList
Uneed
AlternativeTo
+90 directories
  • Geekwire, Sourceforge, Betalist, Uneed & more
  • Done-for-you submissions
  • Detailed spreadsheet report
Most Popular

Global Media Package

Get featured on 500+ trusted news sites worldwide

Yahoo
USA Today
NewsBreak
Barchart
Business Insider
+500 media
  • Yahoo, USA Today, NewsBreak, Barchart & more
  • Global syndication: US, UK, Australia, Asia
  • Permanent links
  • Full analytics report
Fast Process

Get Published in 4 Simple Steps

1

Choose Your Media Package

Select from 100+ directories, 500+ media outlets, or the full combo.

Select your media package interface
2

Submit Your Brand Details

Share your website URL and company info.

Brand details form mobile view
3

Create or Upload Your Press Release

Use our AI powered editor or upload your own content.

Press release editor mobile view
4

Go Live & Get Your SEO Report

Features publish within 48h for Media and 2 weeks for directories. Get a full report delivered!

SEO report mobile view
Machine Learning PR FAQ

Machine Learning Press Release Questions & Answers

Yes, but their function has changed. Instead of just hoping a journalist writes a unique story, the goal is to secure guaranteed placements for social proof, SEO, and AI visibility. For a Machine Learning company, this means your new model or funding announcement appears on hundreds of sites, creating verifiable proof of your momentum. This coverage provides 'As Seen On' logos for your website and pitch decks. More importantly, it creates a footprint on trusted news sources that AI tools like ChatGPT and Google's AI Overviews use for their training data, making your company a citable authority.

There are three main paths. You can hire a traditional PR agency, which involves high monthly retainers ($5,000 to $15,000) with no guaranteed results. You can also try to manually pitch journalists, which is time-consuming and has a very low success rate for most early-stage companies. A third option is a press release distribution service like Mediaboost. You write your announcement, and we guarantee its publication across a network of hundreds of media outlets, including names like AP News and Business Insider, delivering a full report with live links within days.

Focus on a single, newsworthy event. Your headline should state the core announcement clearly. Good topics for an ML company include launching a new predictive model, achieving a significant accuracy benchmark, publishing novel research, securing a major client or partnership, or closing a funding round. The body of the release should explain the 'so what' of your news. How does your new model solve a specific problem? What is the impact of your research? Include a quote from the CEO, a brief 'About Us' section, and clear contact information. Avoid jargon where possible or explain it simply.

It depends on the goal. If you're seeking a feature story in a top-tier publication, it's likely too early. However, using a distribution service to announce a pre-seed round, the launch of a beta product, or a key advisory hire is highly effective for building initial credibility. This early coverage creates foundational social proof and high-quality backlinks. It shows potential investors and first customers that you are building in public and generating momentum. It's a cost-effective way to get your name on the board before you're ready for a large PR agency retainer.

Frame the announcement around the impact, not just the technical specification. The headline should be direct, for example: "[Your Company] Launches New NLP Model that Reduces Customer Support Tickets by 30%." This immediately communicates value. In the press release body, detail the problem your model solves and for whom. Quantify the improvement over existing solutions. For a benchmark, explain why it matters in the real world. Including a quote from a beta customer or your CEO can add a human element and credibility to the technical achievement.

A PR agency is best for relationship-based media outreach aimed at securing original, in-depth stories. This requires a significant budget ($5k to $15k per month) and is most effective for well-funded companies with major, ongoing news. They offer strategy but no placement guarantees. A distribution service is for broadcasting a specific announcement widely and quickly for guaranteed placements. It's ideal for building social proof, generating high-authority backlinks for SEO, and creating a media footprint for AI visibility. For most ML startups, distribution offers a better ROI for specific milestones like funding, partnerships, or product launches.

Ready to Get Started?

Get Your Machine Learning
Story Published

Join 500+ companies featured on top-tier media. Secure permanent backlinks and coverage for your Machine Learning project in 48 hours.