What an academic study can teach us about showing in AI Search
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What an academic study can teach us about showing in AI Search
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Large Language Models including ChatGPT and Gemini (and even AI Overvies) pull answers from across the web, write their own summaries, and answer questions directly. So where does that leave content creators?
In this episode from The SEO Works, we’re looking at a paper from researchers at Princeton, Georgia Tech, and the Allen Institute called Generative Engine Optimization. It is an academic study that explored how content gets picked up and shown in AI generated answers. Here is the paper: https://arxiv.org/pdf/2311.09735
They tested different ways of writing and structuring content to see what actually makes it more visible AI driven engines. Some of the findings are what you might expect. Others are surprising. But all of it points to a shift that marketers and content teams can’t afford to ignore.
SEO is not dead at all. But if you want your content to be picked up by generative engines, you may need to also look at things through a slightly different lens. Let's see what this academic study uncovered and how we might apply this in our own content strategies.