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Lunarlink Solutions, Toronto
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Usually because the correct hours exist in only one place and the wrong ones exist in several. Assistants weigh agreement across sources, so an outdated directory listing repeated across four aggregators outweighs a single accurate line on the business's own website, particularly when that line sits inside an image.
Stale copies on directories and aggregators the business has forgotten it is listed on. Hours rendered inside an image or a script, so no crawler ever read them as text. And no structured data, which leaves a machine guessing which of the several time ranges on the page is the opening schedule rather than the holiday note.
Put the hours in plain text on the site, mark them up as structured data, correct the business profile, and then work through the directories that carry the old version. Consistency across sources is the whole mechanism, so correcting one place while five disagree changes nothing.
An assistant with live browsing can pick up a correction within days. An answer coming from training data cannot be corrected on any timescale a business controls, and simply has to age out with the next model. Expect the two behaviours to coexist for a while, which is why the same question can be answered correctly and incorrectly in the same week.
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