A FAQ gap is a question people commonly ask about your topic that your page does not yet address. It matters because search has shifted toward answering questions: comprehensive content that fully covers a topic and directly answers user questions is what earns featured snippets, gets cited in AI Overviews, and demonstrates the topical depth that modern ranking rewards. Question keywords are a big share of search — a widely cited Backlinko study found roughly 14% of Google searches use words like how, what and why — and Google surfaces these as the People Also Ask box. Finding and filling your FAQ gaps means your page answers more of what a reader actually wants, which improves both rankings and the on-page experience. AnyTool’s FAQ Gap Finder generates the common questions for your topic and flags the ones your content does not answer so you know exactly what to add.

No — and it is deliberately honest about that. Real People Also Ask, autocomplete and search-volume data come from Google’s live index and require a server plus paid search APIs, which a 100%-client-side tool cannot do. Instead, the FAQ Gap Finder generates the common question patterns people tend to ask about a topic by applying proven question templates (what is, how to, how much does it cost, how long, why is it important, vs alternatives, benefits, problems, best, examples, tips, and so on) to your keyword. These mirror the question-keyword families that populate PAA and autocomplete, so they are a strong starting point — but they are template-derived ideas, not verified real-world queries. The right workflow is to use the tool as an idea generator, then validate the actual questions on Google itself: type your topic and watch autocomplete, expand the People Also Ask box, and skim community forums like Reddit or Quora. Then answer the real ones concisely.

The coverage check is a keyword-overlap heuristic that runs entirely in your browser. First it confirms your content is on-topic by looking for the topic’s meaningful key terms (ignoring stop-words). Then, for each generated question, it looks for an answer signal appropriate to that question’s intent — a cost or price word (or a currency symbol) for “how much does it cost”, a step or process word for “how to”, a duration word for “how long”, a comparison word for “vs alternatives”, a benefit word for “what are the benefits”, and so on. If the topic and an answer signal are both present it marks the question answered; if only the topic is present it marks it partial (you touch the subject but may not fully answer the question); if the content barely covers the angle it marks it a gap. Because this is text matching, not comprehension, it can mis-classify — for example a passing mention of “free” could make a cost question look answered — so the tool is explicit that you should review each verdict rather than trust it blindly.

The FAQ Gap Finder is 100% client-side: the topic and content you enter are processed with ordinary JavaScript on your device — nothing is fetched, uploaded, logged or stored on a server, and no CDN is called for processing. That makes it safe for analysing unpublished drafts, client copy and confidential content without exposing them. It generates the questions, checks coverage live as you type, groups the results by intent, extracts the questions already in your content, gives a coverage percentage, and lets you copy the gap questions as seeds for an FAQ section or FAQPage schema. It works offline once cached as a PWA, supports dark mode and a mobile layout with a sticky Sample / Copy bar, and has exactly three ad slots. The logic is a small pure engine (faqGapEngine.ts) that reuses the shared keyword-density tokenizer and stop-word list, with no new dependency — everything runs locally in your browser.