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What does generative search mean anyway? categories – Predictive and Generative. Before we dive in, let’s first understand what generative AI is and distinguish it from the more traditional form of predictive AI. Predictive AI is Google’s bread and butter and has been transformative over the last five years. Google Ads leverages machine learning and predictive modeling to suggest actions or decisions based on user preferences, powering what you should bid in an auction and what search terms your keywords should match to, as well as providing real-time insights to help enhance the search experience. Generative AI, on the other hand, takes data and creates new and original content, such as text, images (the banner used in this article, for example), and even videos.
Unlike traditional AI systems that rely DB to Data pre-programmed rules, generative AI utilizes neural networks to learn patterns and generate outputs based on the data it has been trained on. With the rise of core creative AIs like ChatGPT and Midjourney coming into popular culture, it begs the question, “Does this spell the end of the publisher-backed internet and the ten blue SERP links?!” In Adthena’s recent webinar The future of search: How Generative AI will revolutionize the search strategy, Guy Gobert-Jones, search and solutions consultant of Omnicom MediaGroup (OMG), answers this by unpacking the short and long-term impacts of generative AI.

Gobert-Jones predicts, “The reality will be much more nuanced, focusing on where the AI creates truly addictive user experiences. We will end up with around 10% of total searches powered by this technology.” The role of AI in search AI is transforming the search landscape and revolutionizing how we find information online. Its ability to generate human-like responses, understand context, and personalize search results has elevated the search experience to new heights. From a more tactical view, here are six ways generative AI can transform your search strategy.
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