Since its inception, our daily search routine has followed a familiar pattern: type, browse, sift, repeat. But with the rapid rise of AI-driven innovations—like Google’s AI Overviews, Microsoft Bing’s Copilot, and newcomers such as Perplexity, that routine is evolving. Whether we’re querying text, images, videos, or even audio, it’s clear we’re in the midst of a transformative shift in how we find information.
In July 2024, OpenAI introduced SearchGPT, a prototype AI search engine delivering fast, timely answers and transparent sourcing. By late October 2024, they rolled out ChatGPT Search, refining that AI-driven experience even further. Curious to see what the future of search might look like, I decided to ditch my usual search engine for a week and go all-in on ChatGPT Search. Would it truly transform my routine, or leave me pining for the familiar chaos of traditional results pages?
Day 1: Getting started
Switching Chrome to use ChatGPT Search as my default was remarkably straightforward. Within minutes, my first query returned a crisp, ad-free results page, refreshingly uncluttered. But it wasn’t just about listing articles and blogs; I got a good summary of the trends I was researching, and a generative answer.
First Impression as a search engine:
- Clean Interface: No banners, no sponsored results, just instant insights.
- Neatly Summarized Information: Rather than scanning endless links, I could see a concise overview of the topic.
Was this how search was supposed to feel all along?
Day 2-3: Testing the depth
As the initial novelty wore off, I started throwing in more challenging queries, the kind that typically require refining or rephrasing on traditional engines. I needed specific stats, niche case studies, and deeper insights often buried under irrelevant results.
ChatGPT Search mostly delivered: it provided targeted answers and up-to-date sources, even suggesting related angles I hadn’t considered. The AI seemed to grasp the nuance behind my questions, sparing me that usual back-and-forth of adding search operators or extra keywords.
One drawback? When I wanted raw data sources, like official reports or direct citations. I occasionally had to prompt the engine a couple more times. While ChatGPT was great at giving summaries, it sometimes skimmed over the fine details I needed for credibility.
Day 4-5: The honeymoon period ends
Naturally, search is ingrained in my everyday life, whether I’m asking a quick question, browsing aimlessly, or hunting for directions. By midweek, that day-to-day reliance brought some frustrations. Without the usual spread of blue hyperlinks and colorful layouts, ChatGPT Search started feeling a bit too minimal and text heavy.
Some of my queries aren’t just about finding one answer; I’m often in discovery mode, hoping to stumble upon new ideas or related topics. That’s when I really felt the itch to return to Google or Bing. I missed those suggested searches and, unsurprisingly, I missed ads. Sam Altman has been clear that ChatGPT is built without Ads in mind, but he’s missing a trick. When they are genuinely relevant, ads can point me to tools or products I never knew I needed. And that’s the essence of discovery: not merely a path to an answer, but a gateway to questions I didn’t even know to ask. This is what I really started to miss by Day 5.
Day 6-7: is this the end?
By the final stretch of my experiment, ChatGPT Search had proven itself as a sleek, quick, and uncluttered option for general research. Yet, the honeymoon phase had definitely passed. I started missing some old habits:
- Deep, Specialized Results: Google (and other engines) have spent decades perfecting specialized searches—even if it means wading through more results to find gold.
- Discovery and Learning: I do enjoy the thrill of finding answers on my own. Bad site design? Pop-ups? Sure, those can be annoying, but the hunt is often part of the fun.
- Helpful Ads: I mean, of course i’m biased here. I deal with ads every day for clients, and I love them. A part of me wanted to see if I could experience search without them. But they can reveal products, services, or insights I wouldn’t otherwise encounter. I realized I genuinely missed them (phew for my career!).
So what did I learn?
Changing Search Habits Is Slow
Switching to a totally new type of search engine day in, day out is a bigger leap than it seems. We’re used to scanning blue hyperlinks, seeing snippets, and clicking on ads that catch our eye. Building trust in a completely new platform can’t be rushed; habits, after all, are slow to change.
“Answer Engines” vs Traditional Search Engines
It’s increasingly clear that search engines are evolving into answer engines. Rather than displaying countless blue links, they now aim to provide quick insights—fantastic for when speed is your priority. But for many of us, the joy of searching lies in exploration and discovering that one unexpected resource.
Large Language Models (LLMs) are crucial here, giving engines the power to understand a query’s context on a deeper level. That’s why Google and Microsoft maintain an edge: they boast expansive ecosystems filled with user data and behavior insights. Newcomers must partner with these giants or build similar frameworks (e.g., OpenAI and Microsoft’s collaboration) to keep pace
The Future of Ads in AI-Powered Search
My foray into ad-free AI searching showed me that relevant ads can enhance, not detract from, the user experience. Done right, ads can appear at the exact moment you need them—leading you to something you hadn’t thought of but suddenly can’t do without. If evolving AI solutions (like ChatGPT) can merge intelligent summaries with well-placed ads, we might see a new era of convenient, in-depth, and occasionally serendipitous search.
A Hybrid Model Might Be the Best of Both Worlds
Ultimately, I want a bit of everything. I still appreciate the variety of a classic search page: the color, the ads, the organic exploration. At the same time, I love how AI can zero in on answers with minimal fuss. Perhaps hybrid result pages will let me toggle between a condensed “AI Answer” view and a more traditional SERP—complete with context-rich ads that genuinely help me out. A better version of what Google has to offer today, something more like what Perplexity has to offer.
Embrace the new, or stick with the old?
Honestly, I’m torn. On one hand, the fresh, AI-driven approach, with its sleek summaries and streamlined results, feels like a genuine time-saver. On the other, there’s a certain charm in the colorful chaos of the old-school SERPs, brimming with unexpected suggestions and occasional ad-driven discoveries. For now, I’m sticking with the familiar, but the very fact I experimented in the first place shows I’m not entirely satisfied with the status quo.
I’ll likely keep switching between search engines, because none of them perfectly covers every need—and maybe that’s a good thing. Diversity in search tools can spur healthy competition, encouraging tech giants to innovate and better serve users. And who knows? As ChatGPT Search and its rivals continue to evolve, I might just change my mind again.
Final thoughts…
At the end of the day, search isn’t just about finding one definitive answer; it’s about the journey of discovery we embark on with each query. Sure, AI-powered engines can deliver streamlined information and results, but they sometimes lose the spontaneity and variety that turn a simple search into a genuine learning adventure.
For now, I’m not quite ready to abandon the colorful links, those serendipitous ads that occasionally surface hidden gems, or the chance to stumble upon something entirely unexpected. There’s a delicate balance between convenience and exploration, and my hope is that, as new search tools evolve, they’ll preserve this sense of curiosity we’ve all come to love.
No single search engine today strikes the perfect harmony between comprehensive answers, flexibility, discovery, and relevant ads, and that’s perfectly okay. The diversity of our options fosters healthy competition, pushing major players to innovate for our benefit. Whether we remain loyal to tried-and-true methods or experiment with cutting-edge AI, our evolving expectations will shape the next generation of search. If that means a fusion of old and new, from interactive “answer engines” to classic search interfaces with purposeful ads, then the future of search might be more exciting and user-focused than ever.
Because if there’s one thing we know, it’s that search isn’t just about knowing what we want; sometimes it’s about discovering what we didn’t even realize we needed. And that’s where these new engines could truly shine: anticipating our needs before we’re aware of them. That’s the potential they have, and it’s why I’m so eager to see where they’ll take us next.
