Why Google Discourages Content “Bite-Sizing”
▼ Summary
– Google’s Danny Sullivan explicitly advises against creating bite-sized content chunks specifically to target AI and LLM systems.
– He stated that Google does not want creators to craft content specifically for Search or produce separate versions for LLMs and humans.
– Sullivan acknowledged that such “chunking” strategies might provide a temporary ranking advantage in some cases.
– He warned that Google’s systems will continue improving to reward human-focused content, making LLM-optimized content ineffective long-term.
– The core advice is to focus on building an audience with quality content rather than chasing short-term algorithmic gains.
Creating content specifically for search engines rather than people is a strategy that rarely pays off in the long run. Google has explicitly advised against restructuring your content into “bite-sized” pieces solely to cater to its AI systems or other large language models. This guidance comes directly from Danny Sullivan, Google’s former Search Liaison, who emphasized that the company does not want publishers to craft content specifically for its algorithms.
During a recent podcast, Sullivan addressed a common piece of advice circulating within the industry. He noted that many are suggesting to fragment content into small chunks because they believe LLMs prefer that format. His response was unequivocal: “We don’t want you to do that.” He clarified that this stance is shared by Google’s engineers and aligns with the long-standing principle that content should be created for human audiences, not for search systems. The goal is to avoid a scenario where publishers feel compelled to produce two versions of their work, one for AI and another for the web.
A logical counterpoint is that this “bite-sizing” tactic might currently yield some positive results. Sullivan acknowledged this possibility, stating that in certain cases, perhaps even more than just a few, publishers might see a temporary advantage. However, he cautioned that any such benefit is likely to be short-lived. Google’s ranking systems are continuously evolving to better reward content written for people. As these improvements roll out, content specifically engineered to please an LLM will likely lose its ranking power.
The core advice is to focus on the future direction of search, not on today’s perceived loopholes. Sullivan invoked the classic hockey analogy: “Skate to where the puck is going, not where it has been.” The “puck” is moving toward sophisticated systems that prioritize high-quality, human-centric information. Content designed around a fleeting algorithmic preference is a risky investment that may not withstand future updates.
This perspective encourages a fundamental shift in strategy. For years, the most sustainable SEO practices have always circled back to serving the user. Building a loyal audience creates a foundation that isn’t solely dependent on Google or any LLM. While testing and adapting to data is a critical part of search marketing, what works today may not work tomorrow. Short-term gains from tailoring content for AI could potentially harm a site’s reputation with its actual readers if the content becomes less useful or coherent. The most reliable path forward remains creating comprehensive, valuable content for the people you want to reach.
(Source: Search Engine Land)
