Watch: How much of your content survives the AI Search filter?
An analysis of the Google grounding process, detailing how user prompts and source snippets are processed by models and measuring citation coverage rates.
Transcript
When an artificial intelligence, or AI, search engine pulls your website to answer a user’s question, how much of your content actually makes it to the model? On average, only about one-third of the text from a source page is cited. The rest gets left behind.
Why does this happen? The system automatically trims away the noise. It ignores navigation menus, legal boilerplate, and unrelated promotional links. What actually survives is the high-value core content, like direct product specifications, service details, and step-by-step guides that directly answer the user’s query.
This citation coverage varies wildly depending on the site. Tests show some high-performing pages getting more than sixty percent of their text cited, while others see only twenty percent make the cut.
There is also a fascinating compression effect at play. You might think that pulling more sources would simply lead to a mountain of text. But as the number of search results increases, the AI subtly shrinks the average length of each snippet. It prioritizes breadth over length, condensing the information to keep the final output dense and coherent.
Ultimately, this shows that AI search values high-density, highly relevant content. Clear, direct writing is what gets noticed, while the fluff gets filtered out.