--- title: "What Buyers Ask AI About Your Category" description: "Buyers don't ask ChatGPT the same queries they type into Google. While you optimize for search volume, they're having AI conversations no tool shows." lang: en json-ld: | [ { "@context": "https://schema.org", "@graph": [ { "@type": "Article", "@id": "https://growtika.com/geo-hub/what-buyers-ask-ai#article", "headline": "What Buyers Ask AI About Your Category (And Why Keyword Tools Miss It)", "description": "The queries people type into Google are not the questions they ask ChatGPT. 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Google keywords drive traffic and build domain authority. AI queries capture decision-stage buyers and earn recommendations. Most companies do keyword research and ignore AI query research. Think of it as two channels, not either/or." } }, { "@type": "Question", "name": "What content format works best for AI queries?", "acceptedAnswer": { "@type": "Answer", "text": "AI queries need content with direct answers in the first paragraph, context-aware content addressing company size and budget, comparison-ready positioning vs alternatives, and extractable structured data with quotable statements. The goal is being the source AI quotes." } }, { "@type": "Question", "name": "How long until I see results from AI query optimization?", "acceptedAnswer": { "@type": "Answer", "text": "Perplexity takes 2-4 weeks since it uses real-time search. Google AI Overviews take 4-8 weeks tied to search rankings. ChatGPT and Claude take 60-180 days depending on model training cycles. Authority building through PR accelerates all platforms." } } ] } ] --- [![Growtika](/images/logo.webp)](/) [LET'S TALK](/contact) [Home](/) Solutions Use Cases Sectors Resources [LET'S TALK](/contact) 1. [Home ](/) 2. [GEO Hub ](/geo-hub) 3. What Buyers Ask AI [Back to GEO Hub](/geo-hub) GEO Hub # What Buyers Ask AI About Your Category(And Why Keyword Tools Miss It) Traditional keyword tools miss 70%+ of what buyers actually ask AI. Here's how to find what you're missing. By Yuval @ Growtika โ€ข 6 min read โ€ข January 2026 Contents The Query GapPipeline ImpactWhat Buyers AskHow to DiscoverWhat to DoFAQs TL;DR - **Google queries are keywords. AI queries are conversations.** Different intent, different structure. - **Buyers ask AI for recommendations, comparisons, and "what should I do" guidance** - **Traditional keyword tools miss 70%+** of what's actually being asked - **The companies winning AI visibility** are optimizing for questions no one else is tracking You know your keywords. You've done the research. "Best SIEM tools," "endpoint detection software," "cloud security platform." Your SEO team has the spreadsheet. But here's what I've seen across 50+ B2B clients: the queries people type into Google are not the questions they ask ChatGPT. Not even close. And while you're optimizing for search volume that Ahrefs can measure, your buyers are having conversations with AI that you'll never see in any keyword tool. ## The Query Gap Is Massive When someone types into Google, they use search language. Short. Keyword-packed. Optimized by years of learned behavior. When someone asks ChatGPT, they talk. They explain context. They ask for opinions. They describe problems, not solutions. See the difference: Google Keywords vs. AI Questions Select a category to see how the same buying intent looks completely different. SIEM / SecurityDeveloper ToolsAnalytics / DataCRM / Sales G Google Keywords What keyword tools show best siem tools siem software comparison splunk vs datadog siem pricing open source siem AI AI Conversations What buyers actually ask "We're a 200-person fintech and need better threat detection without adding headcount. What should we look at?" "Our board is asking about our security posture. What tools do similar-sized companies use to show compliance?" "Is Splunk worth it for a startup or are we overpaying for features we won't use?" "We have 3 security tools that don't talk to each other. How do other companies solve this?" "What's the minimum viable security stack for a Series A company handling financial data?" ๐Ÿ’ก **Notice the difference:** Google keywords are 2-4 words. AI queries are full sentences with context, constraints, and implicit buying signals. You can rank #1 for the keyword and still miss the AI conversation entirely. Notice the pattern? Google queries are about finding options. AI queries are about making decisions. Your buyers aren't asking "what exists." They're asking "what should I do." ## Why This Matters for Your Pipeline When a buyer asks ChatGPT "We're a 200-person fintech and our CISO wants better threat detection without adding headcount. What should we look at?", they're further down the funnel than someone Googling "SIEM software." They have context. They have constraints. They want a recommendation, not a list of 47 options. If you're not showing up in that conversation, you're not losing a click. You're losing a deal that was already half-qualified. The Blind Spot in Your Buyer Journey Where AI conversations happen (and you can't track them) Awareness Research Evaluation Decision G Google dominates AI AI AI AI โ† You can't see these queries Buyers use AI most heavily during Research โ†’ Decision โ€” exactly when recommendations matter most ## What Buyers Actually Ask AI From analyzing thousands of AI conversations in B2B categories, here are the patterns: Query Type Example What They Really Want Contextual Recommendation We're a Series B fintech with 150 employees. What security tools do companies like us typically use? Validation that they're looking at the right category Comparison with Constraints Compare Datadog vs New Relic for a team that's mostly Python and has $50k annual budget A decision, not a feature matrix Problem-First Our developers keep shipping secrets to GitHub. How do other companies solve this? Solution category education + specific recommendations Stack Fit What API gateway works best with AWS Lambda and doesn't require a ton of DevOps overhead? Integration-aware recommendation Objection Validation Is CrowdStrike actually worth 3x the price of alternatives for a mid-market company? Permission to buy (or not buy) the expensive option None of these show up in Ahrefs. None have "search volume." And they're happening thousands of times a day in your category. โš ๏ธ The Uncomfortable Truth Your competitors might already be optimizing for these queries. Not because they have better tools. Because someone on their team started asking "what are prospects actually asking ChatGPT?" and built content specifically for those conversations. ## How to Discover What's Being Asked You can't install analytics on ChatGPT. But you can reverse-engineer the conversations: 1 #### Ask AI what people ask AI Sounds circular, but works. You'll get 20+ questions you've never optimized for. Prompt to copy: `What questions do [your ICP] typically ask about [your category]? Focus on decision-stage questions, not awareness-stage. Give me specific examples of how they'd phrase these questions.`Copy 2 #### Talk to your sales team The questions prospects ask in discovery calls are the same questions they asked ChatGPT before booking. Ask your sales team: `What questions do prospects ask in the first 10 minutes of discovery calls that tell you they've already done research?`Copy 3 #### Mine your customer success tickets Post-purchase questions reveal pre-purchase research. "How do I set up SSO?" means they asked AI "does \[product\] support SSO?" before buying. Prompt to analyze tickets: `Here are our most common customer questions: [paste questions]. For each one, what's the pre-purchase version a buyer would ask AI before deciding to buy?`Copy 4 #### Check Reddit and community forums The long, detailed questions people post publicly are proxies for what they ask AI privately. Search Reddit for: `site:reddit.com "[your category]" (recommend OR suggestion OR "should I" OR "which one" OR compare)`Copy 5 #### Run competitive citation tests Ask ChatGPT your category questions 20 different ways. Note who gets mentioned and in response to which phrasings. Test prompt template: `I'm a [role] at a [company size/type]. We need [your category] that [specific requirement]. What are the top options and which would you recommend for our situation?`Copy ## What to Do With This Once you know the questions, you need content that answers them. Not blog posts that rank. Content that gets cited. Different game. Different rules. The Bottom Line **Traditional keyword research is necessary but insufficient.** It tells you what people search. It doesn't tell you what people ask. **The companies winning in AI aren't keyword-stuffing.** They're answering questions that don't exist in any keyword tool. Questions with context, constraints, and buying intent baked in. **Start with five questions.** Ask your sales team: "What do prospects ask in the first call that tells you they've done research?" Those are your AI optimization targets. ## Frequently Asked Questions ### How do I find out what buyers ask AI about my category? ### Should I stop doing traditional keyword research? ### What content format works best for AI queries? ### How long until I see results from AI query optimization? ### Want to Know What Buyers Are Asking AI About Your Category? We uncover the questions prospects are asking AI that you're not answering. Get a free discovery session. 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