Press releases may be dead for Google, but consider a change of tune when it comes to AI and LLMs. A smart distribution strategy can indirectly influence how AI-powered tools see and recommend your hotel.
NB: This is an article from Cogwheel, one of our Expert Partners
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How AI Models Actually “Learn” about Hotels
Large language models aren’t scrolling your wire feed in real time. They are trained on massive datasets of publicly accessible books, news articles, and websites. If your press release stays hidden behind a paywall or a wire feed that isn’t crawled by search engines, it likely won’t become part of an AI’s core training material.
Where PR distribution really moves the needle is with AI-powered search tools like ChatGPT, Gemini, Copilot, and Perplexity. These tools pull from fresh, indexed web content. If your release is syndicated to open-news sites with high authority, it is much more likely to show up in AI search summaries and knowledge graphs.
It’s also important to note that the wider the public distribution, the more signals (citations AND mentions, not just backlinks) point to your business, which AI systems will detect. If the publication is not picked up broadly, the real impact will remain minimal.
Maximizing your Hotel Press Release for AI Visibility
Here is how to ensure AI models and search engines can actually “see” your news:
Front-load the facts: AI summarizers crave context. Ensure your hotel’s name, location, and unique selling points or differentiators are in the first two sentences.
Use evergreen content: Skip the flowery adjectives. Use structured terms like “Hotel X, a boutique property in [City]…” to help knowledge graphs parse your data easily.
Tip: Since we know LLMs don’t do well with the concept of time (yet), consider content that is still relevant in a few years, versus short term offers or promotions.
