Human-Centric Content Foundation for Search Success - Episode Hero Image

Human-Centric Content Foundation for Search Success

Original Title:

TL;DR

  • Focusing on creating great content for people is the foundational bedrock for search success, preventing misdirected efforts on optimizing for transient search engine algorithms or AI formats.
  • Relying on third-party "domain scores" or metrics can lead to optimizing for a tool's specific, potentially arbitrary, ideal rather than actual user needs and Google's ranking signals.
  • Creating content specifically for LLMs by breaking it into "bite-sized chunks" is discouraged, as system changes may render this effort obsolete, diverting focus from human-centric value.
  • SEO professionals and tools can be helpful but are not required; understanding Google's direct guidance first empowers critical evaluation of external advice and prevents following misinterpretations.
  • Claims of guaranteed performance from SEO services should be treated with skepticism, as actual results depend on implementation and evolving search engine algorithms, not mere promises.
  • Engaging in practices that go against Google's guidance, even if recommended by some SEO tools, carries the risk of spam actions and should be questioned directly.

Deep Dive

The core argument is that Search Engine Optimization (SEO) remains fundamentally about creating great content for humans, even as new technologies like AI emerge. While SEO professionals and tools can offer assistance, they are not essential, and creators should prioritize authentic content creation over chasing algorithmic trends.

The implications of this perspective are far-reaching. Firstly, the emergence of AI-driven search (AEO, GEO, etc.) is framed not as a new discipline, but as a subset of existing SEO principles. This means that strategies focused on human-centric content will likely adapt to these new formats, rather than requiring a complete overhaul. The emphasis on "great content for people" as the bedrock of search success suggests that the perceived necessity of specialized SEO expertise may be overstated for many. Those who naturally focus on creating valuable, engaging content for their audience are already on the right track, and external SEO services or tools should be viewed as supplementary, not foundational.

Secondly, the discussion highlights a significant trade-off: focusing on algorithmic optimization, particularly for emerging AI systems, risks diverting resources and attention from the primary goal of serving human users. Tools that promote "bite-sized chunks" or specific metrics like "domain scores" can lead to a gamified approach that prioritizes superficial ranking factors over genuine user value. This can result in wasted effort on strategies that are transient and may even be detrimental if they conflict with Google's core guidance, potentially leading to spam actions. The consequence is that creators who chase these trends might find their efforts become obsolete as AI systems evolve to better understand human intent, leaving them with content optimized for a system that no longer exists.

Finally, the advice underscores the importance of critical evaluation when engaging with third-party SEO services or tools. While they can be helpful, particularly for technical aspects, creators must continuously cross-reference recommendations against official guidance. The potential for misinterpretation or misrepresentation of Google's directives by external parties is significant. Therefore, a foundational understanding of Google's own guidance empowers creators to make informed decisions, differentiate between genuine value and speculative claims, and ultimately build a sustainable online presence focused on long-term user engagement rather than short-term algorithmic gains.

Action Items

  • Audit SEO advice: For 3-5 third-party tools or services, verify claims against Google's published guidance to prevent policy violations.
  • Create content strategy framework: Define criteria for prioritizing human value over LLM-specific formatting for 100% of new content.
  • Measure content performance disconnect: For 3-5 content pieces, calculate correlation between LLM-specific formatting and user engagement metrics.
  • Evaluate SEO tool claims: For 5-10 recommended SEO actions, assess their alignment with Google's core guidance and potential for spam actions.

Key Quotes

"To me, and I think Google might be thinking this way too, this whole AEO, GEO, LMAPEO, whatever it is that people are thinking about, 'I need to do for AI format search engines or chat formats or whatever you want to call it,' to me, I'm defining those as a subset of SEO. Those are things that people still use to search."

John Mueller explains that emerging search formats like AI-driven or chat-based search are not entirely new concepts but rather extensions of existing search engine optimization (SEO) principles. Mueller categorizes these new formats as subsets of SEO, emphasizing that the core goal of being discoverable on search remains the same.


"SEOs and SEO tools can be helpful, but they are not required. We talked about this in part one, which is why people should go back and listen to part one if you didn't. In short, there are plenty of sites that succeed in search. Think about SEO, just focus on great content for people, and that is the foundation, the bedrock. Everything that you want to be successful for in search is built on that great content."

Danny Sullivan highlights that while SEO professionals and tools can offer assistance, they are not essential for a website's success in search. Sullivan asserts that the fundamental element for achieving search visibility is creating excellent content that caters to human users, forming the essential basis for all other optimization efforts.


"I really think at some point you really need to understand what the direction is from Google's side with regards to SEO. Then it's a lot easier for you to kind of pick between the different SEO service providers and also to evaluate a little bit, 'Are they actually doing what goes into the direction that I've learned that Google wants, or are they kind of optimizing things that are not actually on Google's list, but they say that there's like some secret backdoor kind of thing happening here?'"

John Mueller advises that understanding Google's official SEO guidelines is crucial for effectively evaluating SEO service providers. Mueller suggests that this foundational knowledge empowers users to discern whether a provider's strategies align with Google's recommended practices or if they are pursuing less legitimate or unverified methods.


"Now, I know this may surprise you, but there are some SEO tools and companies that recommend things that would be against our guidance. And you know what? That is shocking. I don't know what to say. I am flabbergasted."

Danny Sullivan expresses surprise, albeit sarcastically, that some SEO tools and companies may suggest strategies that contradict Google's official guidance. Sullivan uses this statement to underscore the importance of critically assessing SEO recommendations and verifying them against established best practices.


"One of my favorite things that always be, if I'm, I guess my favorite, it's just kind of sad, but you something like, 'I don't understand. I have domain score 89. How am I not doing better?' And it's like, 'I have Google domain score 89.' You're like, 'Well, it's not our domain score. We don't have that.' And it doesn't, yeah, no, it's not even a thing."

John Mueller clarifies that Google does not utilize or recognize proprietary "domain scores" often promoted by third-party SEO tools. Mueller points out the confusion this can cause, emphasizing that such metrics are not an indicator of Google's evaluation of a website's performance.


"To go to one of the things, I talked about the specific things people like, 'What is the thing I need to prove?' One of the things I keep seeing over and over in some of the advice and guidance, and people are trying to figure out what do we do with the LLMs or whatever, is that turn your content into bite-sized chunks because LLMs like things that are really bite-sized. We don't want you to do that. I've talked to some engineers about them like, 'And we don't want you to do that. We really don't.'"

Danny Sullivan directly advises against fragmenting content into small, bite-sized pieces specifically to cater to Large Language Models (LLMs). Sullivan states that neither he nor Google engineers recommend this practice, indicating that optimizing content for LLM consumption is not the desired approach.

Resources

External Resources

Books

  • "The Quest for the Perfect Page" - Mentioned as an example of early tools that focused on averages rather than unique content.

Articles & Papers

  • "How to optimize for this new world of AI in search" (Google Search Team) - Referenced as a blog post that discusses optimizing for AI in search.
  • "Guide to selecting an SEO" (Google) - Mentioned as a resource for guidance on choosing SEO services.

People

  • John Mueller - Host and Search Advocate at Google Switzerland.
  • Danny - Co-host of the podcast episode.

Organizations & Institutions

  • Google Search Team - Creators of the "Search Off the Record" podcast and providers of SEO guidance.
  • Google - Mentioned in relation to its search engine operations and guidance on SEO.

Websites & Online Resources

  • Search Console (Google) - Mentioned as a tool set provided by Google.
  • Google SEO Guide - Referenced as a source of guidance on SEO practices.

Other Resources

  • SEO (Search Engine Optimization) - The practice of improving content for search engines, and also the term for people or companies providing these services.
  • AEO (AI-Enhanced Optimization) - Mentioned as a new term related to AI in search, considered a subset of SEO.
  • AIO (AI-Informed Optimization) - Mentioned as a new term related to AI in search, considered a subset of SEO.
  • GEO (Generative AI-Enhanced Optimization) - Mentioned as a new term related to AI in search, considered a subset of SEO.
  • LLM (Large Language Model) - Discussed in the context of content creation and optimization for AI search formats.
  • Spam Action - A potential consequence of not following Google's guidance.
  • Domain Grade - A metric from third-party tools, discussed as potentially misleading.
  • Spam Grade - A metric from third-party tools, discussed as potentially misleading.

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