From SEO to GEO (PEO): Designing Effective Prompt Engine Optimization [podcast]

In this Podcast Tekedia Daily, I provide a framework to understand the future of digital visibility. My presentation argues that the domination of traditional referencing (optimization of search engines), although with important, is challenged by the rise of generative AI. The basic concept discussed is the optimization of the rapid engine (PEO) or generative optimization of the engine (GEO), which is the practice of adapting the content of your website to be cited and synthesized by large -language models and chatbots.

The Podcast stresses that users are increasingly turning to these AI platforms for their information, and therefore companies must adapt their strategies to ensure that their content is discoverable and referenced in these new “research” environments.

I divide this new paradigm into four key principles: be mentioned and cited, improve global visibility on various AI platforms, carry out a competitive analysis in this new context and pay attention to the feeling transmitted by AI. It is important to note that referencing and geo do not exclude each other; These are complementary strategies working towards the same ultimate objective: to drive traffic and convert customers.

Then, how do you run this PEO game book for your digital platform? I provide useful practical and logical steps. First, companies must conduct in -depth research to understand the specific questions and needs of their audience. This allows them to create targeted and precious content. Second, this content must be “user -friendly”, which means that it is clear, authority and easy to understand and use as a source.

Finally, the physical web page itself must be optimized for speed and precision, undressing an unnecessary size to allow the AI ​​to quickly and accurately remove the information. The conference concludes by stressing that the preparation and construction of systems for AI is a critical strategic decision for the next phase of any digital company.

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