What’s happened in May in the SEO world?
Who hasn’t at least once heard something weird (or even eerie!) regarding the AI Overview tool, part of Google’s SGE, in the past month?
AI Overview was supposed to be a smart, technology-driven answer to complex queries.
Instead, we’ve learned that, apparently, you can leave your dog in a hot car (?) because the Beatles said so (??).
Google’s new SGE addition doesn’t seem to realize what jokes are. Furthermore, it proceeds to hallucinate and prepares a recipe for gasoline pasta sauce for you. Because why not, right?
Users are… disappointed, to say the least:
It seems that Google has been trying to improve ever since. In one of their blogposts by Liz Reid we can see:
At the scale of the web, with billions of queries coming in every day, there are bound to be some oddities and errors. We’ve learned a lot over the past 25 years about how to build and maintain a high-quality search experience, including how to learn from these errors to make Search better for everyone. We’ll keep improving when and how we show AI Overviews and strengthening our protections, including for edge cases, and we’re very grateful for the ongoing feedback.
Liz Reid, AI Overviews: About last week
Let’s move on from the overviews, then!
Google’s official changelog reveals that the EPUB file format was added to Google’s documentation of indexable file types. This direction aligns with Google’s idea of crawling the whole web – including all forms of documents, ebooks, etc. We don’t know anything more for now, but EPUBs are expected to rank soon.
Source: https://developers.google.com/search/docs/crawling-indexing/indexable-file-types
Google has introduced two new crawlers, GoogleOther-Image and GoogleOther-Video, specifically designed for crawling binary data. Unlike text-based files like HTML, ASCII, or Unicode, binary data cannot be opened in a standard text viewer. This includes various file types such as images, audio, and video.
Source: https://www.searchenginejournal.com/google-reveals-two-new-web-crawlers/516658/
Google’s recently leaked documentation discloses that it leverages search click data and Chrome browsing data to adjust search result rankings. Additionally, it extracts dates and author names from content and gives more weight to text formatted in larger fonts. These are just a few of the insights found in the documentation.
The disclosed documentation reveals over 2,500 modules containing 14,000 attributes (functions)—these are the factors that Google’s algorithm may consider. However, these are not directly “ranking factors.” The revealed modules pertain not only to Google’s main search engine but also to YouTube, video search, Google Books, Google Assistant, and website crawling infrastructure.
Source: https://ipullrank.com/google-algo-leak