**People ask AI engines full questions — so headings phrased as those questions match the query directly.** This check looks at whether your page uses question-style headings (starting with what, how, why, when, where, who, or ending in a question mark) that mirror how users actually phrase things. Question headings create a clean match between a conversational query and your section — and they naturally push the content beneath them to answer first.
It scans your page's headings (H2/H3) and identifies how many are phrased as genuine questions that map to real user queries. It looks for:
- Question words — headings starting with what, how, why, when, where, who, can, is, are or does.
- Question marks — headings that end in "?".
- Query alignment — that the questions reflect how people actually ask about the topic, not just decorative phrasing.
Multiple question-style headings mapped to real queries passes; a few question headings is a warning; no question-style headings is a fail.
GEObubbly detects headings that take a question form — starting with an interrogative word or ending in a question mark — and weighs them against the page's structure. It's a core GEO / LLM Readiness check worth 3 points, because conversational query matching is a strong signal for which section an answer engine pulls from.
AI queries are conversational: people type or speak full questions — "how do I fix a redirect loop", "what's the difference between a 301 and a 302". A heading phrased as that exact question creates a direct match between the query and your section, telling the engine precisely what this part of the page answers and which chunk to lift. Question headings also do useful double duty: they tend to force answer-first writing underneath, because a question naturally wants a direct answer below it. You don't need every heading to be a question, but a page that anticipates and labels the real questions in its topic is far more likely to be matched to a conversational query and cited. It pairs directly with answer-first content — phrase the question, then answer it immediately — as part of GEO / LLM Readiness.
Question-based headings are subheadings phrased as the actual questions users ask — for example "How do I check my robots.txt?" instead of "robots.txt configuration". They help because AI engines and search engines match queries to content, and a query is usually a question; a heading in the same form creates a direct match. They also signal exactly what the section below answers, making it easy for an engine to pull the right chunk, and they tend to push the content underneath into a clean answer-first structure.
You don't need every heading to be a question — a mix is natural and readable. The goal is that the real questions people ask about your topic are represented as headings somewhere on the page, so each maps to a likely query. Use question headings for the parts that directly answer something ("What is…", "How do I…", "Why does…") and keep descriptive headings for structural or overview sections. A page with several genuine question headings mapped to real queries is far more discoverable to conversational AI than one with none.
Yes. AI answer engines work from conversational, full-sentence queries, so a heading phrased as that same question is a strong match signal — it tells the engine this section directly addresses what the user asked. That improves the odds the engine pulls the answer from your page rather than a competitor's. Question headings also encourage you to write a direct answer immediately beneath them, which is exactly the self-contained, quotable passage these engines prefer to lift and cite.
Start with how your audience actually phrases things: look at the "People also ask" boxes and autocomplete suggestions for your topic, the questions that come up in support tickets and sales calls, and the long-tail queries in your analytics. Then turn the most relevant ones into headings, written in natural language rather than keyword shorthand. The aim is to anticipate the real questions a person would ask an AI engine about your subject and answer each one directly in the section beneath its heading.
Yes, where it fits. If a section is a genuine question-and-answer, adding FAQPage structured data makes that Q&A explicit to engines and can earn rich results, while giving AI answer engines clean, pre-segmented answers to lift. The key rule is that the marked-up questions and answers must match what's actually visible on the page — inventing FAQ markup that isn't shown is a guidelines violation. Used honestly, question headings plus matching FAQ schema reinforce each other: the heading matches the query and the schema labels the answer.