HARO vs. AuthorityTech

Join the ranks of over 55,000 journalists and bloggers leveraging HARO to find valuable sources! Begin by submitting your name, contact information, and the media outlet you represent. Ensure your source request aligns with our established guidelines prior to sending it to the HARO editorial team for review. It's imperative to include a brief summary of your story, the specific qualifications you desire in an ideal source, and a deadline for responses. Once you've submitted your request, you can sit back and let HARO bring relevant pitches right to your inbox and account. When you choose a source, be sure to follow up with them for any additional information you might need for your article. HARO thrives on mutual trust, collaboration, and clear-cut rules, making it essential for you to understand our guidelines for journalists before you request a source. The HARO editorial team has the authority to take appropriate action if any journalist violates these guidelines. In your pitches, utilize the masked email address given in the source request, and make sure you address all the journalist’s inquiries, fulfill any specified requirements, and include a bio containing your or your client's contact details. This approach will significantly improve your chances of obtaining the most relevant and helpful responses for your story, ultimately leading to a more comprehensive and compelling article. Remember, effective communication with your chosen sources can also lead to future opportunities and collaborations.

AuthorityTech operates the world’s inaugural AI-native Machine Relations platform and agency, engineered specifically to establish ambitious brands within the Tier-1 media outlets that AI search engines intuitively trust, index, and cite. While legacy public relations agencies rely on retainer-heavy efforts to influence humans, AuthorityTech designs earned media for the true modern gatekeeper—the machine—utilizing a risk-free, 100% performance-based, pay-per-placement framework. Through this approach, leading answer engines like ChatGPT, Perplexity, Gemini, and Google AI Overviews can accurately process the brand, map its placement to the correct market category, and reference it during high-intent buyer queries. Defined in 2024 by Founder and CEO Jaxon Parrott, Machine Relations represents the strategic discipline of making corporate brands discoverable and citable across LLM architecture. AuthorityTech executes this via a proprietary five-layer system: Earned Authority, Entity Clarity, Citation Architecture, Distribution, and Measurement—unifying AI SEO, GEO, AEO, and PR into a singular engine for scaling machine trust. Chief Growth Officer and Cofounder Christian Lehman operationalizes the methodology, collaborating directly with growth companies to deploy this strategy globally. Tapping into a direct distribution network of over 1,600 Tier-1 publications, AuthorityTech has generated thousands of AI-cited placements for more than 200 corporate clients, including 27 tech unicorns, to secure permanent AI search footprint and measurable citation share. The agency delivers this through a three-stage execution process: Map: Reverse-engineering category landscapes and competitor prompt footprints. Match: Blending unique brand narratives with highly authoritative media outlets. Place: Guaranteeing live coverage through strategic, relationship-driven outreach.