Greetings from rainy and wet Valencia, where I’ve been deep in research mode for my latest project. This has me thinking about how dramatically our research methods have evolved in just the past year.

If you’ve been following along, you know I’ve been exploring alternatives to traditional search engines. Today, I want to share why this matters for your business and how early adoption of these tools can give you a significant competitive edge.

Let’s get to it.

The Changing Landscape of Information Discovery

Remember when Google felt magical? Type in a few words and get exactly what you needed at the top of the results. Those days are increasingly behind us.

Now, most searches require scrolling past multiple ads and wading through SEO-optimized content designed to rank well rather than inform deeply. A joint study by Datos and SparkToro found that approximately 58.5% of Google searches in the U.S. result in “zero clicks,” meaning users don’t click on any search results at all.

Meanwhile, business professionals report spending nearly 9 hours weekly searching for and gathering information using traditional methods. That’s essentially an entire workday each week.

The Revolution in AI-Powered Research

New AI research tools are fundamentally changing how we discover and process information. Unlike traditional search engines, these tools:

• Process natural language questions conversationally
• Deliver synthesized answers instead of just links to sift through
• Cite sources transparently, making verification simple
• Support follow-up questions, creating a research flow that mimics working with a human assistant
• Understand context, grasping the intent behind your questions

Real-World Time Savings in Action

What used to take an hour of traditional research can now be accomplished in 20-30 minutes. For a typical knowledge worker, this can reclaim 4-5 hours of productive time each week.

My Recommended Multi-Tool Research Workflow

After months of experimentation, I’ve developed a workflow that consistently delivers high-quality research results:

1. Start with broad questions to get a high-level overview and identify key concepts
2. Use specialized tools for technical insights beyond general knowledge
3. Leverage conversational AI to clarify complex concepts
4. Cross-check insights using multiple AI models to identify potential biases
5. Synthesize findings by organizing and integrating information from multiple sources
6. CHECK YOUR WORK

It shouldn't be a surprise how important this last point is: we still can't trust AI enough to get the right results that you want, the first time, or without coaching. Some of the market research I've been doing Deep Research modes in Perplexity and ChatGPT - both had very different answers and needed a lot of fine-tuning and cross-checks.

This approach ensures comprehensive coverage while minimizing the risk of missing important information or perspectives.

Beyond Search: Preparing for the GEO Era

As AI research tools grow in popularity, a new discipline is emerging: Generative Engine Optimization (GEO). Similar to SEO for traditional search, GEO focuses on making your content discoverable and preferred by AI systems.

If you’re creating content for your business, GEO should be on your radar for several reasons:

• Changing discovery patterns — As more users shift to AI research, traditional SEO may become less effective
• Citation opportunities — Well-structured content is more likely to be cited by AI assistants
• Authority building — Being referenced by AI tools builds credibility and drives traffic
• Future-proofing — Early adopters will have an advantage as AI research continues to grow

To help you navigate this changing landscape, I’ve created a comprehensive guide: “The Future of Research: Why AI-Powered Tools Are Changing the Game.”:

🛠️ Tool of the Week: Obsidian – A Powerful Free Note-Taking App If you’re looking for a flexible, offline-first note-taking tool that keeps your thoughts organised without locking you into a specific ecosystem, Obsidian is worth checking out. Unlike other note-taking apps, Obsidian is built on plain-text Markdown files, meaning your notes are fully in your control—no forced cloud storage, no proprietary formats. But the real magic happens when you start linking your notes together. I've yet to find one app that "does everything" in terms of dashboards and second brains, but Obsidian is pretty damn close (sorry, Notion 😢), primarily because I can access it all offline and my data's not going to someone else's cloud unless I expressly want it to. Key features: ✅ Bi-directional linking – Connect ideas and build your own knowledge web ✅ Offline-first – No internet? No problem ​✅ Cross platform - sync across your computers, tablets and phones, wherever you are ✅ Markdown support – Keep your notes lightweight and future-proof ✅ Customisable with plugins – Supercharge it with themes, templates, and automation - including AI integration ✅ Free for personal use – No subscriptions needed 🚀 Best Use Case? ​Obsidian is perfect for knowledge workers, researchers, solopreneurs, and creatives who want a powerful, distraction-free way to organise their thoughts—whether it’s for brainstorming, writing, project planning, or even journaling. 💡 Pro Tip: Start small. Use daily notes + linking to create a simple second brain, then explore community plugins when you’re ready. Check out Obsidian

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Made with ❤️ in Valencia by Jim Christian. For feedback, please reach out to hello@jimchristian.net.

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