LookAtMedia's platform has evolved beyond a simple PR tool for companies. Major media groups and journalism schools are now adopting it to generate high-quality, error-free news content internally. This creates a two-sided ecosystem where the tool both creates and satisfies the demand for news stories.
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Unlike platforms like YouTube that merely host user-uploaded content, new generative AI platforms are directly involved in creating the content themselves. This fundamental shift from distributor to creator introduces a new level of brand and moral responsibility for the platform's output.
As users increasingly get news from AI like ChatGPT, traditional SEO is evolving into "GEO" (Generative Engine Optimization). Platforms must now be designed to get a company's narrative cited by large language models, ensuring visibility in this new wave of information 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.
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.
Instead of using generalist AI, LookAtMedia built a "media vertical AI model" trained on over a million journalists' writing. This focused approach yields higher quality, more authentic content with a near-zero hallucination rate (less than 0.01%), which is crucial for maintaining credibility with the media.
True personalization in media outreach goes beyond using a journalist's name. LookAtMedia's AI analyzes a journalist's recent work and rewrites a core press release to match their specific language model and audience interests. This hyper-personalization dramatically increases the likelihood of media coverage.
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.
Effective public relations has traditionally been inaccessible to companies with less than $500 million in revenue. AI-powered platforms are now changing this dynamic, offering tools that replicate the function of a PR professional, thereby opening the market to millions of smaller businesses worldwide.
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.
