ChatGPT Q&A Distribution -How Many Questions Are You Missing?

Here's what ChatGPT actually sees across your site: coverage -or the lack of it. ChatGPT users ask everything from broad ("What is live chat software?") to hyper-specific ("Can I use live chat on a Shopify store with less than 100 visitors per day?") to comparative ("How does Tidio compare to Intercom for small teams?"). Your Q&A distribution score reflects what percentage of these questions your content actually answers.

ChatGPT doesn't evaluate Q&A distribution as an explicit score, but the effect is measurable through citation frequency. More question variants covered = more pages and passages matching the diverse queries ChatGPT users generate. A site with 10 FAQ items covers fewer angles than one with 50. The difference shows up in retrieval rates.

The analysis maps your existing Q&A content -FAQ pages, help articles, blog posts with question headings -against a taxonomy of questions in your space. That taxonomy comes from search data (Google People Also Ask, Bing related searches), support tickets, and competitive analysis of what questions your competitors answer that you don't.

Gaps are directional. They tell you not just that you're missing content, but exactly what to create. If competitors answer "How much does live chat cost per agent?" and you don't -that's a specific, actionable gap. Fill it, and you've created a new ChatGPT retrieval target.

Q&A distribution matters more for ChatGPT than any other engine. Here's why: ChatGPT conversations involve specific follow-up questions. A user asking about live chat might fire off five detailed follow-ups in a single conversation, each triggering a new web retrieval. If your site answers question one but not questions two through five, you lose four citation opportunities.

Claude cares less about Q&A coverage. Claude weighs structural and governance signals more heavily -a site with excellent Schema.org and comprehensive llms.txt can score well even with gaps in Q&A coverage. Claude evaluates the quality of what you have, not what you're missing.

Google AI Overviews synthesize from multiple sources, so individual-site completeness matters less. Google fills gaps by pulling from different domains. ChatGPT relies on fewer sources per answer -it needs each source to be more complete. Don't answer a specific question? ChatGPT cites a competitor who does. It won't combine your partial answer with someone else's.

Perplexity aggregates from many sources like Google, but shows individual citations prominently. Broader Q&A coverage increases the number of Perplexity answers featuring your domain -though the per-question impact is smaller than with ChatGPT.

Tidio (63) -the Q&A distribution champion. Their help center has hundreds of articles organized as question-answer pairs covering setup, integrations, pricing, troubleshooting, and comparisons. Ask ChatGPT virtually any question about chatbot software, and Tidio has a relevant page. Their inventory covers an estimated 80% of the question space.

HelpSquad (47) -mixed signals. Their blog covers informational questions about live chat outsourcing well, but massive gaps exist in comparisons ("HelpSquad vs. competitor X"), pricing ("How much does live chat outsourcing cost per hour?"), and technical setup. ChatGPT cites HelpSquad for broad awareness queries but misses them on decision-stage questions -exactly where citations drive the most business value.

LiveChat (59) -strong on product features, weak on use-case questions. LiveChat thoroughly answers "What features does LiveChat have?" but barely addresses "How do I use live chat for e-commerce support?" or "What's the best live chat setup for a SaaS help desk?" These use-case gaps kill citation opportunities right when users are making purchase decisions.

LiveHelpNow (52) -a revealing gap. Their FAQ covers pricing and basic functionality fine, but they almost entirely missed the comparison and alternatives categories. "What are alternatives to LiveHelpNow?" "How does LiveHelpNow compare to Zendesk?" No content. Those high-value queries go to competitor sites and third-party reviews instead.

Start here: catalog every page on your site that answers a specific question. FAQ pages, help articles, blog posts with question headings, product pages with inline Q&A. One row per question-answer pair in a spreadsheet. Note the URL and primary question each page answers. That's your Q&A inventory.

Build a question taxonomy from multiple sources. Google People Also Ask for your primary keywords, Bing related searches, questions from your support tickets and sales conversations, and -critically -questions your competitors answer that you don't. Organize into categories: product, pricing, comparison, technical how-to, and use-case questions.

Compare your inventory against the taxonomy. Every question without a corresponding page is a coverage gap. Prioritize by estimated query volume and business value -comparison and pricing questions typically convert at higher rates than general informational ones.

Create dedicated content for your top 10-20 gaps. Each piece answers one specific question -direct answer paragraph at top, supporting detail in body, related questions linked at bottom. Don't bundle multiple gaps into one omnibus article. ChatGPT retrieves at the page level. Dedicated pages outperform mega-articles.

Review quarterly. New questions emerge as your market evolves, competitors launch features, and user behavior shifts. Every gap you fill adds a retrieval target for ChatGPT.