91.6% of ChatGPT Users Still Use Search: The AI Coexistence Era

What Happened

For nearly two years, headlines predicted that generative AI would quickly cannibalize traditional search engines. Actual user behavior in South Korea paints a very different picture.

Recent industry figures show that cross-platform users who actively rely on both ChatGPT and Naver search reached 15.08 million in July—a 5.6-fold increase since January of last year. Even more telling: 91.6% of all ChatGPT users in the country continue to search on Naver regularly.

Instead of abandoning query bars for conversational prompts, audiences are running both tools in tandem. We are now navigating an era of search and AI coexistence, where users move fluidly between chatbots and search engines based on the specific job to be done.

Key Details: How Consumer Behavior Is Splitting

That 5.6-fold leap in dual-platform usage outlines how buyer discovery has split into a clear two-step rhythm:

• Synthesis and Exploration via AI: Buyers head to ChatGPT, Gemini, or Perplexity for open-ended brainstorming, summarizing lengthy research, mapping concepts, and generating initial recommendations.
• Validation, Local Discovery, and Transactions via Search: When it is time to locate a storefront, check operating hours, browse authentic customer reviews, confirm real-time inventory, or buy, users turn right back to search engines like Naver or Google.
• The 91.6% Overlap: Because nine out of ten ChatGPT users remain active search engine visitors, conversational assistants are functioning as companion tools rather than self-contained web replacements.

Shoppers do not treat search and AI as mutually exclusive. ChatGPT frequently acts as a digital advisor, while search engines deliver the verifiable ground truth.

What It Means For Your Business

For business owners and marketing teams, this coexistence carries direct strategic weight. Treating generative engine optimization and traditional search optimization as competing priorities is a mistake that costs visibility.

1. The "Death of Search" Was Overstated

If you paused local SEO campaigns, scaled back review collection, or deprioritized structured data under the assumption that AI bots would make websites irrelevant, now is the time to correct course. Systems like ChatGPT, Perplexity, and Google AI Overviews depend on the exact web indices, business directories, and review signals that search engines have prioritized for years.

2. Generative Engine Optimization (GEO) Builds on Strong SEO

Language models rarely cite businesses they cannot verify. When ChatGPT produces a recommendation or an AI engine serves up a source link, it pulls from authoritative web pages, verified third-party directories, and consistent local profiles. Securing a spot in AI-driven answers demands a solid, easily crawlable digital footprint.

3. Target the Two-Stage Buyer Journey

With 91.6% of AI users still relying on traditional search, most prospective customers will encounter your business across both environments:

• Step 1 (The AI Query): A prospect asks a chatbot: "What are the best boutique accounting firms for tech startups in my area?"
• Step 2 (The Search Validation): After the AI provides a shortlist, the buyer switches to search to look up your brand, read recent client reviews, review pricing details, and schedule a call.

If an AI engine names your business but search engines show patchy listings or outdated information, prospects will drop off before contacting you.

4. Actionable Steps for Marketers

• Maintain Consistent NAP Data: Audit your business Name, Address, and Phone number across Google Business Profile, Apple Maps, Yelp, and relevant local directories to keep records aligned.
• Publish Information-Dense Content: Provide direct guides, clear case studies, and transparent pricing that AI crawlers can lift as reliable reference points.
• Actively Gather High-Quality Reviews: Recent, genuine customer feedback directly shapes both local map pack rankings and conversational AI recommendations.