Todayâs search forums reveal Google is revamping its search stack in response to the rise of large language models (LLMs). This includes acknowledging biases in link positions and click-through rates, leading to algorithmic adjustments. Google Ads is also experimenting with device targeting for Performance Max campaigns and testing vertical search labels in autocomplete. These changes reflect a broader shift in how users interact with search, focusing on enhancing user experience and advertisement effectiveness through innovative features.
Google is reevaluating its search stack due to the emergence of large language models, indicating a significant shift in their approach to search functionality.
A recent document from Google reveals the existence of link position and click biases, necessitating adjustments in their algorithms to ensure fairer search results.
The introduction of new device targeting features for Google Ads PMax campaigns aims to enhance ad performance by tailoring outreach based on users' device types.
Google is exploring various innovations in search, including vertical search labels in autocomplete, signaling a push towards more structured and context-aware search experiences.
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