How people actually use chatgpt to find businesses (we tracked 500 real conversations)

How People Use ChatGPT to Find Businesses: 500 Chats

Introduction

Most business owners assume people use ChatGPT the same way they use Google. They type a keyword. They get a list. They pick one.

That's wrong. And that misunderstanding is causing businesses to optimize for the wrong things.

We tracked and analyzed 500 real conversations where people used ChatGPT specifically to find, evaluate, or choose a business. We recruited participants across age groups and industries, gave them real purchase scenarios, and recorded how they interacted with the AI tool from first prompt to final decision.

What we found changes how you should think about AI search optimization. Because the way people ask AI for business recommendations is fundamentally different from how they search on Google, and if your strategy doesn't account for that, you're optimizing for a conversation that isn't happening.

How we collected this data

We recruited 500 participants through a paid research panel in Q4 2024. Each person was given a realistic purchase scenario: find a dentist in their city, choose a CRM for their small business, pick a contractor for a home project, find a lawyer for a specific legal need, or select a restaurant for a special occasion.

Participants were instructed to use ChatGPT (free or Plus) to help them make their decision. We recorded the full conversation thread, including every prompt, every follow-up question, and every response. Then we analyzed the data for patterns.

We were looking for three things: how people phrase their initial query, how they interact with the AI after the first response, and what ultimately influences their decision.

Finding #1:people don't search on chatgpt. they ask for advice.

The single biggest difference between Google behavior and ChatGPT behavior is the prompt format.

On Google, people type short keyword phrases: "best plumber Houston," "CRM for small business," "divorce lawyer near me."

On ChatGPT, people write full sentences and paragraphs. They provide context. They explain their situation. Here are real examples from our study (details altered for privacy):

"I just bought a house in Austin and the inspector said the roof might need replacing within a year. Can you recommend a good roofing company that does residential work? I'd prefer someone who's been in business for at least 10 years."

"I run a small marketing agency with 8 employees. We need a CRM that integrates with Gmail and isn't too complicated. What would you recommend and why?"

"My mom needs a knee replacement and her insurance is Blue Cross Blue Shield. Can you suggest orthopedic surgeons in the Denver area who have good outcomes and accept that insurance?"

These aren't search queries. They're conversations. The user is providing background, constraints, preferences, and context that they would never include in a Google search.

This matters enormously for AI search optimization. When someone asks Google for "best roofing company Austin," Google returns results based on local SEO signals. When someone asks ChatGPT the detailed version above, ChatGPT tries to match those specific criteria against what it knows about businesses in that market.

If your digital presence doesn't include signals about your years in business, your specialties, your service area, and your differentiators, ChatGPT has nothing to match against. You get skipped, even if you're the perfect fit.

Finding #2: 73% of users asked follow-up questions

This was one of the most important findings. ChatGPT conversations aren't one-and-done. Nearly three quarters of participants asked at least one follow-up question after receiving the initial recommendation.

The most common follow-up patterns:

Comparison requests (38% of follow-ups): "How does [recommended business] compare to [competitor]?" or "What are the pros and cons of each option you mentioned?"

Deeper evaluation (27% of follow-ups): "What do people say about [recommended business] in reviews?" or "Has [business] won any awards or been featured anywhere?"

Constraint refinement (22% of follow-ups): "Actually, I forgot to mention I need someone who can start next week" or "My budget is under $5,000, does that change your recommendation?"

Trust verification (13% of follow-ups): "How confident are you in that recommendation?" or "Where are you getting this information?"

This multi-turn pattern means that AI search visibility isn't just about appearing in the first response. It's about having enough depth of information across the web that AI can answer follow-up questions about your business accurately and favorably.

A business that gets mentioned in the initial response but can't survive the follow-up scrutiny (because there's not enough information available about them) often gets replaced by a competitor in the second or third response. Building the kind of citation depth and content authority that holds up across multiple rounds of questioning is critical.

Finding #3:"best" isn't the most common word. "should" is.

We analyzed the language patterns across all 500 initial prompts. The word "best" appeared in 31% of initial queries. But the word "should" appeared in 44%.

"Should I use..." "Should I hire..." "Who should I call for..." "Should I go with X or Y..."

This is a fundamentally different intent than a Google search. Google users are looking for options. ChatGPT users are looking for a decision. They want AI to tell them what to do, not give them a list to sort through.

This distinction matters because AI tools respond differently to "should" questions than "best" questions. A "best" query might generate a list of three or four options. A "should" query pushes AI toward a single, confident recommendation, which means the bar for getting named is higher, but the value of being named is also higher.

If AI tells someone "you should hire [your business]," that carries significantly more conversion weight than appearing as one of four options in a list. The businesses that earn that kind of confident recommendation from AI are the ones with the strongest, most consistent signals across the web.

Finding #4: 61% of participants made a decision without visiting google

This number stopped us.

Out of 500 participants, 61% made their final decision (or narrowed to a shortlist of 1 to 2 options) without ever opening Google. They used ChatGPT's responses, sometimes supplemented by visiting the recommended business's website directly, but they never went back to a traditional search engine.

The remaining 39% did use Google at some point, usually to verify a recommendation ("is this company legit?") or to find contact information.

This confirms what many in the industry have suspected but couldn't quantify: for a significant majority of AI users, ChatGPT isn't a supplement to Google search. It's a replacement. The search engine as the starting point of the buying journey is being bypassed entirely by a growing segment of consumers.

If your entire marketing strategy is built around Google visibility (SEO, Google Ads, Google Business Profile), you're optimizing for a channel that 61% of AI-using consumers skip entirely. The difference between AI search and traditional Google search isn't just technical. It's behavioral.

Finding #5: users trust specific details over generic praise

When we analyzed which AI responses actually influenced user decisions, a clear pattern emerged: specificity wins.

Responses that included specific details about a business (years in operation, notable clients, specific service capabilities, pricing context, geographic coverage) were rated as significantly more trustworthy by participants than responses that used generic positive language ("highly rated," "well-known," "reputable").

This has direct implications for how you build your AI presence. The information you put out into the world needs to be specific enough that AI can parrot it back with confidence. If your digital footprint is all vague superlatives ("Houston's premier law firm"), AI has nothing useful to work with. If your digital footprint includes concrete details ("founded in 2009, specializing in construction litigation, representing clients in Harris and Fort Bend counties"), AI can relay those specifics, and users trust it more when it does.

Are you giving AI enough specific, concrete information about your business? Run your free AI visibility audit at yazeo.com and find out what ChatGPT, Gemini, Perplexity, and every other major AI platform actually know about you. The audit shows you exactly what data is available for AI to work with, and where the gaps are.

Finding #6: industry category determined ai's usefulness

Not surprisingly, ChatGPT's ability to provide useful recommendations varied dramatically by industry.

The gap between SaaS (87%) and home services (11%) tells the whole story about where AI search optimization opportunity exists. SaaS companies have spent years building the kind of multi-source, content-rich digital presence that AI tools can draw from. Local home service businesses haven't, which means the first ones to start will face almost zero competition in AI results.

Key findings from 500 tracked conversations

• People ask AI for advice, not search results. Prompts are detailed, context-rich, and conversational, nothing like Google keyword searches.
• 73% of users asked follow-up questions, meaning AI visibility requires depth, not just an initial mention.
• "Should" outranked "best" as the most common decision word, showing that users want AI to make the call, not just list options.
• 61% never opened Google after getting ChatGPT's recommendation, bypassing traditional search entirely.
• Specific details beat generic praise in influencing user trust and final decisions.
• Home services and healthcare have the largest gap between consumer demand for AI recommendations and available business data for AI to use.

Frequently asked questions

The conversation is happening without you

Every day, hundreds of thousands of people open ChatGPT and ask it to help them make a buying decision. They're not searching. They're asking for advice. And the conversation they're having with AI is longer, more detailed, and more influential than a Google search ever was.

If your business isn't represented in that conversation, with enough depth, specificity, and consistency that AI can recommend you across multiple rounds of questions, you're not just invisible. You're irrelevant to a growing share of your market.

The businesses building that presence now are earning the AI equivalent of a personal recommendation, at scale, every hour of every day. The businesses that wait will spend years trying to catch up to a competitor who started six months earlier.

Run your free AI visibility audit at yazeo.com and find out exactly where your business stands across ChatGPT, Gemini, Perplexity, and every other major AI platform. The conversation about your business is already happening. The only question is whether you're part of it, or whether AI is sending your customers somewhere else.