Podcast

144 - Digital PR for AI: How Mentions Drive Visibility with Natalie Severt

Guest: Natalie Severt, Marketing Manager at Intelligent Relations

In this episode, we explore the evolving landscape of Search Engine Optimization (SEO) and how digital PR for AI has become a critical strategy for visibility. As AI models and Large Language Models (LLMs) "eat the whole internet," traditional link building is shifting toward a broader focus on brand mentions and citations. Natalie Severt explains how to position your brand as an expert source that AI tools will trust and recommend.

Table of Contents

In the era of AI search, it is no longer just about getting a hyperlink. The goal is to appear in relevant news sources and industry publications because the more a brand is mentioned in authoritative contexts, the more likely it is to show up as an answer to a user's question in an AI result. It is about ensuring the AI sees you as a visible expert in your field.

Relevance is the New Ranking Factor

To succeed in digital PR for AI, you must stay in your "wheelhouse." Algorithms will not pick up content that isn't semantically related to your core product - a dog food company talking about snow globes will not rank. You need to publish and pitch content directly related to your expertise so Google and LLMs can "join the dots" between your brand and the topic.

The "Reverse Engineering" Strategy

Don't guess what journalists want. Use tools to find journalists already covering your specific topic or "beat." You can look at what a publication is currently writing about and pitch a story that adds new data, a unique twist, or a counterpoint to an existing conversation.

Strategies for Smaller Brands

If you cannot afford a massive agency retainer, start small. Pitch niche blogs, local newspapers, or regional outlets to build a portfolio of coverage. These local signals are still highly relevant for SEO and help build the credibility needed to eventually pitch top-tier publications like Forbes.

Social Media and SERPs

Search engines are increasingly ranking content from "closed" platforms like Reddit, LinkedIn, and Facebook groups. Authentic participation in these communities - without spamming - creates signals that AI models use to verify that a brand is a trusted source of information.

Leveraging Internal Data

One of the best uses of AI for PR is analyzing your own internal datasets to find patterns or insights that are newsworthy. Journalists love unique statistics, and using AI to crunch your own data can provide the "hook" needed to earn media coverage.

Actionable Advice for Digital PR

  • Consistency is Key: Unlike owned content, you can't control when earned media is published. Maintain a consistent cadence of polite pitching to ensure periodic wins.
  • Target the "Fan Out" Queries: Look beyond the main keyword and identify the secondary questions LLMs ask in the background. Ensure your PR efforts cover these related topics to help the AI understand your full context.
  • Human Quality Matters: While AI helps with workflows, content must be original and high-quality. Thin, AI-generated content without human insight will not rank well in the long run.

Want to make sure your brand shows up where your customers search - including AI platforms?

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