ChatGPT vs Google: Why People Are Searching Differently and How to Adapt
Two years ago, if someone wanted to know how to write a follow-up email after a job interview, they would Google it and click through to an article or two.
Today, a growing number of people type that exact question into ChatGPT and read the response directly.
This is one of the more significant shifts in how people find information online in recent years. And it has real consequences for anyone creating content on the internet.
The Actual Scale of the Shift
To be clear: Google is not dead. It still handles billions of searches every day and remains by far the dominant way people find information online.
But the proportion of queries going to AI tools has grown steadily. Particularly among younger users, professionals, and people doing research-heavy tasks, AI tools have become a frequent first stop.
The queries that have moved most significantly to AI tools are the ones where someone wants a direct, synthesised answer rather than a list of links to browse. Research summaries, explanations of concepts, drafting help, and comparisons between options all fall here.
Google is still strong for local searches, product searches, news, and queries where people want to visit a specific website. AI tools are eating into the middle ground of informational, research-type queries.
How Search Intent Has Changed
When someone uses Google, they are often in exploration mode. They click a few links, skim some articles, and piece together an answer.
When someone uses ChatGPT, they want a direct answer in one place. They are not going to click through to your website unless the AI response specifically points them there or does not fully answer their question.
This changes what ranking means. For Google, ranking means appearing on page one and getting clicked. For AI tools, ranking means being the source the AI draws from when constructing its answer, and ideally being cited visibly in that answer.
What This Means for Your Content
Write for readers who want complete answers. The era of writing a 500-word article that covers the basics of a topic and links out for everything else is over. Both Google and AI tools reward content that actually completes the job for the reader.
Conversational structure works in both worlds. AI tools are trained on conversational, clear text. Google increasingly rewards content that reads naturally and directly addresses what someone is searching for. Writing in a straightforward way, as if explaining to a smart colleague, works across both channels.
Niche depth beats broad coverage. A website that covers ten topics at surface level is less valuable than one that covers three topics with real depth. Pick the areas you know best and go deep on them.
Build Outside Your Website
When AI tools generate responses, they are drawing on everything they know about a topic, including what has been written about you or your content on other platforms. Being active on LinkedIn, contributing to industry discussions, and getting mentioned in other publications all build the kind of presence that AI systems recognise.
Should You Worry About This
If your site publishes original research, genuine opinions, specific experience-based insights, or content that requires real expertise to produce, you are in a much stronger position. AI tools can summarise generic information. They cannot replicate specific knowledge or original thinking.
The practical question to ask about any piece of content you produce: could an AI tool generate this on its own? If the answer is yes, you need to add something it cannot. Your experience. Your specific data. Your opinion. Your mistakes. Your results.
Write with more depth. Be more specific. Share more of your actual thinking and experience. Make your content genuinely complete so the reader does not need to go elsewhere after reading it.
Do that consistently and you will perform well on Google, get cited by AI tools, and build an audience that comes back regardless of where they found you the first time.
