Biden’s AI order calls for tighter oversight of marketing tools leveraging consumer data and AI algorithms. The post How Biden’s AI Executive Order Could Impact Marketing Tools appeared first on Search Engine Journal .

Here is a recap of what happened in the search forums today…

Google’s John Mueller answers what to do about 404 errors reported in Search Console The post Google On What To Do About 404 Errors In Search Console appeared first on Search Engine Journal .

Google unveils new search tools to assist students with solving math, science, and visual learning problems. The post Google Launches New Search Tools To Help With Math & Science appeared first on Search Engine Journal

Google explains its nuanced approach to ranking recipes, balancing searcher convenience with respecting author intent.

In part one, we learned about Chris Long and his experience working with Bill Slawski. Then, in part two, we spoke about helping people with SEO on LinkedIn and using Facebook for a career change. Then, in part three, we spoke about SEO strategy and SEO testing…

Google’s Search Liaison, Danny Sullivan, posted that he is aware of the complaints about recipe pages being too long and hard to find the ingredients and directions. He added that this is something content producers might want to keep in mind. “If you want to appeal to that audience, you might want to ensure your recipes are helpful in that way, easy access to the key parts,” he added.

Danny Sullivan, Google’s Search Liaison, defended why Google pushed out search ranking algorithm updates, saying on X, “The web changes. Content changes. People’s expectations change

Google once again said that adding schema or structured data markup to your pages will not result in those pages ranking better in Google Search. Danny Sullivan, the Google Search Liaison, said this on X, “using schema doesn’t give you a ranking boost,” adding, “Schema doesn’t make you rank better.” He even said that “Schema has nothing to do with rankings.”

This is just a reminder that Google uses machine learning to understand if content is helpful or not within the Google helpful content system. This is not new, we’ve known this for over a year, but it seems many of us keep forgetting.