"Some features thrive with structured data (to which I also count structured feeds). Pricing, shipping, availability for shopping is basically impossible to read in high fidelity & accurately from a text page, for example. Of course the details will change though - which is why it's important to use a system that makes it easy to adapt. Other features could theoretically be understood from a page's text, but it's just so much easier for machines to read machine-readable data instead of trying to understand your page (which might be in English, or in Welsh, or ... pick any of the 7000+ languages). Some visual"
"Previously, Google has said structured data does not help with ranking, John did not say otherwise in his statement. Google also said in October 2023 and a few times, including structured data is not a ranking factor and said even if you get penalized for structured data misuse, it won't result in a ranking drop but rather the removal of rich results in search. Google did add that it can help them identify product review content."
Structured data's benefit for LLMs and search depends on the specific feature and how the models or search engines use it. Shopping features such as pricing, shipping, and availability rely heavily on structured data because plain text cannot reliably convey those details in high fidelity. Machine-readable data simplifies processing across many languages and reduces the need for complex text understanding. Structured data generally does not affect ranking; misuse typically results in removal of rich results rather than ranking penalties. Using structured feeds and adaptable systems helps keep details accurate as they change.
Read at Search Engine Roundtable
Unable to calculate read time
Collection
[
|
...
]