Google warns against creating 'bite-sized' content for large language models (LLMs) as it may harm search rankings, emphasizing that content should be focused on human readers rather than trying to game the system with artificial content segmentation, which may not be effective long-term.
Google's Danny Sullivan advises against creating bite-sized content specifically for AI and LLMs, emphasizing that such strategies are temporary and that content should primarily be written for humans, as search systems evolve to favor human-centric content.
Google's Danny Sullivan advises content creators not to optimize their content into bite-sized chunks specifically for large language models (LLMs), emphasizing that content should be written for users first. He warns that strategies tailored for current LLMs may not work in the long run as search systems evolve, and focusing on human-centric content is the best approach for sustainable success.
Following the completion of Google's November 2024 core update, search ranking volatility has persisted, with notable fluctuations observed over the weekend. This ongoing volatility has sparked discussions among SEO professionals, with some reporting significant traffic drops, particularly from the US and other major regions. It remains uncertain whether these changes are residual effects of the core update or indicative of a new, unconfirmed algorithm update. Various tracking tools have reported differing levels of volatility, contributing to the ongoing debate within the SEO community.
A leak of internal Google documents detailing an old version of the Content Warehouse API has sparked interest in the SEO community. The documents, accidentally published on GitHub, reveal insights into Google's search ranking factors, contradicting some of Google's public statements. Key revelations include the importance of click metrics, Chrome views, content freshness, and site authority in search rankings. Google cautions that the leaked information may be outdated or incomplete.
There are reports of another unconfirmed Google Search ranking algorithm update that began on June 28th and has continued to cause volatility in search results. This follows a series of unconfirmed updates in recent weeks, with no official confirmation from Google. Automated tracking tools and discussions within the SEO community indicate significant fluctuations in search traffic and rankings. The cause of these changes remains unclear, but some speculate that Google's featured snippets and paywall ads may be impacting organic traffic. The situation highlights the ongoing challenges faced by webmasters and SEO professionals in adapting to Google's ever-changing search algorithms.