This one caught my eye.
Check out the transcript below to see Danny Sullivan from Google's perspective on "chunking content" - one of the most popular techniques currently believed to improve discoverability in AI search.
In the past year or so, I've seen many different interpretations and approaches for how to "chunk" content, and in many cases - yes, some of them can and do work well for AI search visibility. For now, at least.
But in this case, I'm reading between the lines a bit...
When you start to hear Googlers commenting on popular, widespread SEO/AEO tactics (and talking to their engineering teams about those tactics), my 'SEO spidey senses' start to go off.
We've seen this pattern so many times before, and it's why I spent last year giving multiple presentations about the 'cycle of SEO' (link in comments):
SEO/AEOs discover an effective tactic for driving traffic/visibility that is more focused on optimizing for machines, rather than humans ➡️
SEO/AEOs share this tip with the masses, lots of tools are built to automate and scale these tactics ➡️
Google identifies widespread use of this tactic and determines it's not great for their users ➡️
Google develops systems/policies to demote or penalize these tactics either algorithmically or through updated spam policies (this part can take a while to get right) ➡️
The tactic no longer works, and misusing/abusing it can lead to major setbacks in performance.
It will be interesting to see how this one pans out because we haven't had any clear examples yet of AI search-specific tactics being demoted in the way many SEO approaches have been over the years with algorithm updates, penalties, etc. But as AI search is evolving, it would make sense that Google would have to update its own systems accordingly.
Now, I'm not saying "don't chunk your content." As always, I would recommend only adjusting your content in ways that are *also helpful and valuable for your readers,* not just blindly following what a tool (or an LLM, lol) told you to do.
I've also heard a lot of noise about "writing for machines, not humans" in the past year. I would be very careful to follow that advice, as it is literally the exact opposite of the guidance Google provides in all of its documentation.
Like it or not, Google is still here, and your performance on Google has a massive impact on your overall performance in Search - yes, including AI Search.