What does the answer schema check look for?
It checks whether content that should be marked up as questions, answers or articles actually is. Specifically:
- FAQPage — for a page with a list of questions and their answers, each question/answer marked up.
- QAPage — for a single question with user-style answers (a Q&A thread).
- Article — for articles and blog posts, with headline, author and date.
- Match to content — that the schema matches the visible content and uses the right type for the page.
The relevant answer schema present passes; partial or incomplete markup is a warning; none where it clearly applies is a fail.
How is it evaluated, and how is it scored?
GEObubbly checks for FAQPage, QAPage or Article schema appropriate to the page's content. It's an extended Structured Data check that runs directly against the page's markup.
Why answer schema matters for SEO and GEO
Different content calls for different schema, and three answer-oriented types matter most. FAQPage marks up a list of questions and their answers — the kind of FAQ block at the bottom of many pages — so each pair is explicitly labelled. QAPage is for a single question with community-style answers, like a forum thread. Article describes articles and blog posts with their headline, author and date. Each must match the visible content: the FAQ schema should contain the same questions and answers shown on the page, or it's a violation. The payoffs are real — historically FAQ markup could produce expandable FAQ rich results, Article markup feeds “top stories” and author/date displays, and all of it helps engines understand precisely what your content is. For GEO this is especially potent: AI answer engines are in the business of answering questions, and a page that hands them clearly-labelled question-and-answer pairs (and well-marked articles) gives them citable, self-contained units to draw from.