New data on ChatGPT user behavior shows that roughly one in five consumer messages sent to the chatbot are now plain requests for information, not writing help or coding tasks. That is a sharp jump from where the tool started, and it is reshaping how content and SEO teams think about visibility. For marketers in India, it is the clearest signal yet that the search box is no longer the only place people ask questions.
Key Takeaways
- ChatGPT user behavior data indicates close to 20% of consumer messages are now information-seeking queries, up from a much smaller share a year or two ago.
- “Asking” style queries (information, advice, explanations) have overtaken “doing” tasks like drafting or coding as a share of total usage, according to the report.
- Brands that rely only on ranking on Google are missing a growing chunk of discovery that now happens inside AI chat interfaces.
- For Indian marketers, this shift makes AEO (answer engine optimization) and structured, factual content as important as traditional on-page SEO.
What Does the ChatGPT User Behavior Data Actually Show?
The report, covered by Search Engine Journal’s Matt G. Southern, draws on large-scale analysis of how people actually talk to ChatGPT, not just how OpenAI markets the tool. The headline finding is simple: a fifth of consumer conversations now fall into the “seeking information” bucket — things like “what is the GST rate on this,” “explain how UPI Lite works,” or “what’s the latest on the Jio IPO listing.”
That is a meaningful change in ChatGPT user behavior. When the tool launched in late 2022, most of the buzz was about essay writing, code generation, and brainstorming. Three years on, plain information lookup has grown into one of the single biggest use-case categories, rivaling or exceeding writing assistance in some breakdowns.
Why Are More People Using ChatGPT to Search for Information?
Part of the answer is habit. Once someone learns that a chatbot can summarise a topic in three lines instead of ten blue links, they come back for the next question too. Part of it is trust — ChatGPT increasingly cites sources and shows its reasoning, which makes it feel less like a black box than it used to.
There is also a product push behind this. OpenAI has steadily added real-time browsing, shopping integrations, and more conversational memory, which makes the ChatGPT product itself feel closer to a search engine than a one-off writing tool. Every one of those features nudges more “informational” questions into the chat window instead of a search bar.
None of this means Google is going away. It means the first screen in a buyer’s research journey is splitting between two places, and most brands are still only designing for one of them.
How Does This Compare Across Message Types?
Independent trackers and the report itself generally group ChatGPT conversations into a handful of buckets. The exact percentages vary slightly by study, but the direction is consistent: information-seeking has grown the fastest of any category over the past two years.
| Message Type | Typical Example | Trend Over Past 2 Years |
| Seeking information | “What is the CIBIL score needed for a car loan?” | Sharp rise — now roughly 1 in 5 messages |
| Writing & drafting | Emails, captions, essays, reports | Stable to slightly down as a share |
| Technical / coding help | Debugging, scripts, formulas | Steady, concentrated among a smaller user group |
| Practical guidance | “How do I plan a budget trip to Goa?” | Growing, overlaps with information-seeking |
| Self-expression / companionship | Venting, casual chat | Small but present share |
What Does This Mean for Indian Marketers and SEO Teams?
This is where the story stops being an interesting statistic and starts being a planning problem. If a fifth of ChatGPT conversations are informational, then every brand selling anything explainable — insurance, loans, electronics, travel, skincare — is competing to be the answer inside that chat, not just the tenth tab in someone’s browser.
Here is the original angle worth sitting with: think of ChatGPT as a new landing page that nobody designed. When a user types “which health insurance covers maternity in Bangalore,” the chatbot assembles a composite answer from whatever content it has absorbed or fetched. If your brand’s pages never state facts plainly — price ranges, eligibility, dates, named comparisons — there is nothing clean for the model to lift and cite. The funnel doesn’t fail because the copy was weak; it fails because the page gave the model nothing quotable to work with, the same way a cluttered checkout screen gives a human shopper nothing clear to click.
That is the practical lesson from this round of ChatGPT user behavior data for any Indian content team: write the direct answer first, name the entity clearly, and structure the page so a machine reading it out of context still gets the point. It is the same discipline good landing-page design has always demanded — just applied to a reader that never sees your visual layout at all.
FAQ
Does this mean Google search traffic is dying?
No. Search volumes remain large in India and globally. What’s changing is where a slice of informational queries now land first — inside AI chat rather than a results page.
What counts as an “information-seeking” message on ChatGPT?
Direct factual questions — prices, dates, definitions, how-something-works explanations — as opposed to asking the model to write, code, or brainstorm something new.
How can a brand show up when someone asks ChatGPT a question?
By publishing clear, factual, well-sourced content that states the answer plainly near the top of the page, with named entities and dates — the same habits that help with AEO and GEO visibility.
Is this ChatGPT user behavior shift specific to India?
No, it’s global, but it matters more here given India’s huge mobile-first user base and fast-growing AI chatbot adoption across tier-1 and tier-2 cities.
Will this change how SEO teams measure success?
Increasingly yes — brand mentions and citations inside AI answers are becoming a metric marketers track alongside traditional rankings.
The bigger point behind this ChatGPT user behavior data is that the “funnel” marketers obsess over no longer starts only on a website — for a growing number of users, it starts inside a chat window they’re typing into right now. Brands that treat that chat answer with the same care as a landing page will be the ones AI tools keep quoting.