ChatGPT vs Google : How Are People Searching Differently Now?

I had a moment a while back that made this shift feel real instead of theoretical.

A client’s daughter was researching colleges, and instead of typing fragments into Google the way I used to at her age, she was having an actual back-and-forth conversation with ChatGPT, asking follow-up questions, narrowing things down, treating it like an advisor rather than a search box.

That’s not a small behavioural shift. It’s arguably the biggest change in how people find information since Google itself took over from directory-style search engines two decades ago.

At Straxcel, we don’t just track rankings, we track how people actually behave, because that behaviour is what marketing strategy has to follow, not the other way around.

And right now, search has genuinely split into two different habits, not one platform replacing another.

People Type Differently Depending on Where They Are

For years, Google trained us to speak in fragments. You’d type something like “best accounting software small business Mac” because you learned, through years of trial and error, that natural sentences didn’t get you good results.

ChatGPT flipped that completely. People now type the way they actually think, in full sentences, with real context, sometimes asking a follow-up right after.

Someone might write something like “I run a small design studio and need invoicing software that handles multiple currencies, tracks taxes quarterly, and costs under 2,000 rupees a month, compare a few options for me.”

Google can only crawl pages that happen to contain some of those words. ChatGPT can actually understand the full request and hand back a direct, tailored answer.

This isn’t a small stylistic difference. It changes what kind of content actually gets found and used by each system, which matters a lot for how brands need to write and structure their content going forward.

People Still Reach For Google, Just Not for Everything

This is the part that gets missed in most of the “AI is killing Google” takes floating around. People haven’t abandoned Google. They’ve just gotten more specific about when they use which tool.

Google still wins completely for anything urgent, local, or transactional. Someone searching “emergency electrician near me open now” or trying to check a flight status or complete a purchase isn’t going to ChatGPT for that.

They want live, immediate, location-based results, and Google remains genuinely better at that.

ChatGPT and similar tools pull people in for a different kind of task entirely – working through a problem, planning something complex, or getting a clear explanation without wading through ten different websites.

Debugging a piece of code, building a meal plan, or understanding a financial concept in plain language, these are the moments people now default to AI for, because the answer they need isn’t a list of links, it’s a synthesized explanation.

Why This Actually Matters For Your Brand’s Visibility

Here’s the part that should genuinely concern any business relying purely on traditional SEO. For years, the whole model was simple – rank on page one, get the click, monetise the traffic on your own site.

AI answers break that model, because when someone gets a full, useful answer directly inside the chat, they often never click through to a website at all. That’s a zero-click search, and it’s becoming far more common.

To stay visible in this shift, brands need to think beyond traditional SEO and start paying attention to what’s increasingly being called Answer Engine Optimization, or AEO.

This isn’t about replacing SEO, it’s about extending your visibility strategy to a system that works differently.

AI engines don’t guess when they generate an answer. They pull from sources they consider trustworthy, and a few things determine whether your brand becomes one of those sources.

Structured, clean technical data matters, because AI systems need to read your product details, pricing, and specifications clearly, not buried in vague marketing copy.

Genuine third-party sentiment matters too, more than most businesses realise.

AI models look at forums, review sites, and community discussions to gauge how a brand is actually perceived, so if nobody’s talking about you positively in those spaces, an AI system has little reason to recommend you. And depth matters more than ever.

Thin, surface-level content built purely to rank for a keyword gets ignored by AI systems the way a knowledgeable person would ignore a superficial answer.

Original insight, real expertise, and clear, direct answers to genuinely complex questions are what get pulled into AI-generated responses.

The Two Systems Aren’t Competing, They’re Working Together

The honest way to think about this isn’t Google versus ChatGPT as a fight with a winner.

They’re becoming two different layers of the same customer journey, and I see this play out constantly with our own clients’ customers.

Someone might use ChatGPT to think through a home renovation idea, narrow down what materials they actually need, and then switch straight to Google to find local suppliers nearby and read recent customer reviews before buying.

Both tools mattered in that journey. Neither replaced the other.

That’s exactly why we build strategy around both fronts at once instead of picking a side. Strong technical SEO still captures the immediate, high-intent searches happening on Google every day.

Alongside that, building genuine brand authority, digital PR, and a real presence in the communities AI systems actually crawl is what determines whether you show up as the recommended answer when someone asks an AI engine for advice instead of typing a search term.

Search has genuinely changed shape.

A brand still optimising purely for old-style keyword strings, with nothing built for how AI systems actually find and trust information, is quietly becoming invisible to a growing share of its own potential customers, even if its Google rankings still look fine on paper.

Clients Also Ask

No, and the data so far doesn't support that idea either. People are using ChatGPT and similar tools for research, planning, and problem-solving, while still relying on Google for local, urgent, and transactional searches like finding a nearby service or completing a purchase. The two are being used for different types of tasks, not competing for the exact same search.

AEO is the practice of optimising your brand's content and online presence so AI systems like ChatGPT or Gemini can find, trust, and cite you when generating an answer, rather than just optimising for search engine crawlers and rankings. Traditional SEO focuses on ranking your webpage on Google, while AEO focuses on becoming a trusted source AI systems pull information from directly.

AI systems look at a combination of factors, including how clearly your product or service information is structured on your site, how your brand is discussed across independent reviews and forums, and whether your content offers genuine depth and expertise rather than surface-level information. Brands with limited, generic content and little authentic third-party discussion are far less likely to get recommended.

No, traditional SEO is still essential, especially for local and transactional searches where Google remains the dominant platform. The smarter approach is building on top of your existing SEO foundation with AEO practices, so your brand is positioned to be found whether a potential customer is searching on Google or asking an AI system directly.

This is still an evolving space, but a useful starting point is regularly asking AI tools the kinds of questions your potential customers would ask, and checking whether your brand comes up, and how accurately it's represented. Tracking mentions and sentiment across forums, review platforms, and community discussions also gives a good early signal of how AI systems are likely to perceive and cite your brand.

Content that gives a direct, well-structured answer to a specific question tends to perform far better than broad, generic articles written mainly to target a keyword. First-party data, genuine expertise, and clear explanations of complex topics are what AI systems tend to pull from when generating a response, rather than surface-level content designed primarily for search engine rankings.

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