The rise of AI and Large Language Models, which scrape vast amounts of data, creates a critical new role for PR. Companies must now proactively correct misinformation and ensure content accuracy, as this data will be used to train models and generate future content.
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Influencing AI results isn't about traditional SEO tactics. It's about getting your brand mentioned in the sources AI models are trained on, like Reddit, industry publications, and news articles. The most effective way to achieve this is through modern PR and consistent social media activity, as journalists and writers use these platforms for discovery.
Earned media is a primary source for generative AI, appearing in over 60% of brand reputation-related responses according to research. This positions PR at the center of the new "Generative Engine Optimization" (GEO) landscape, creating the most significant strategic opportunity for the industry in over a decade.
AI models prioritize and learn from credible, third-party sources like major news publications. A strong PR strategy securing mentions in high-authority outlets is now more impactful for visibility in AI-generated answers than traditional SEO tactics like pay-to-play advertorials.
The fundamental change in marketing is moving from creating content for human consumption to creating it for AI bots and "answer engines" that crawl the web on behalf of users. This requires a new approach to content strategy, focusing on discoverability and usefulness to machines.
A report shows 44% of ChatGPT links originate from PR-influenced sources, versus only 30% from corporate websites. This signals a major power shift from owned media to earned media, forcing CMOs to refocus budgets on PR, analyst relations, and customer advocacy to influence AI-driven discovery.
If your brand isn't a cited, authoritative source for AI, you lose control of your narrative. AI models might generate incorrect information ('hallucinations') about your business, and a single error can be scaled across millions of queries, creating a massive reputational problem.
AI models heavily weigh earned media from credible publications when determining brand authority. With 61% of AI brand mentions coming from editorial sources, PR is no longer just a brand-building exercise but a critical technical lever for GEO, directly influencing discoverability.
Historically, PR owned credibility and marketing owned pipeline. AI and LLMs have forced these functions to converge completely. The credibility built by PR through earned media and thought leadership is now the primary fuel for AI-driven discoverability, which in turn feeds the marketing pipeline. The functions are no longer complementary; they are inseparable.
LLMs learn from existing internet content. Breeze's founder found that because his partner had a larger online footprint, GPT incorrectly named the partner as a co-founder. This demonstrates a new urgency for founders to publish content to control their brand's narrative in the age of AI.
As AI and LLMs become central to information discovery, they will rely on high-quality, well-written sources. This creates a "revenge of the English major" scenario where brands with strong storytelling and quality content (e.g., from PR) will gain an edge over those just focused on paid ranking, as human quality becomes a key input for AI.
