"The issue is, the recipe was wrong and it claims it is from Inspired Taste, when it really wasn't. So Glenn would be cooking up this recipe, thinking it is from Inspired Taste, then when it comes out bad, he would not be happy with his favorite recipe blogger and fault them. But the truth is, it is Google's fault for providing the wrong recipe, due to its AI."
"Adam Gallagher from Inspired Taste reviewed the recipe and said Google got it wrong. Specifically, he said: We add more lime juice We like adding cream which isn't listed which we like to call our secret. We call for 5 egg yolks and our readers never said to use 3 as a secret...ever. The bake time is wrong for our recipe. Most importantly we don't see a link to us anywhere!!"
Google's Personal Intelligence customizes recipe responses using a user's browsing history and favored sites, increasing perceived credibility. Personalized attribution can falsely claim a specific publisher as the source while synthesizing content from multiple places. Incorrect ingredient lists, missing steps, wrong quantities, and inaccurate bake times can appear attributed to a trusted blogger, causing users to blame that publisher for failed results. Missing or incorrect source links exacerbate the problem. Personalized, branded AI outputs that misattribute or contain errors damage search trust, harm publisher reputations, and reduce confidence in AI-driven answers.
Read at Search Engine Roundtable
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