Why I Stopped Relying on ChatGPT for Job Searches
...and what that taught me about how AI search actually works.

When I was deep in the job hunt, I started using ChatGPT to help me surface opportunities. At first, it was pulling listings from a variety of sources. But pretty quickly, I noticed a pattern: almost every result was coming from SEOJobs.com. It was like ChatGPT had made up its mind—this was the job board for me.
And to be honest, it wasn’t wrong. I ended up going directly to SEOJobs.com myself, and I started finding better listings, faster. That’s when I realized something important: ChatGPT had essentially trained me to refine my own process. It exposed me to a valuable niche resource I might not have prioritized otherwise.
But it also got me thinking about how AI search tools pull data in the first place.
You Might Also Like
- 🧠 The Future of Content in the AI Era
What happens when AI becomes the creator, curator, and consumer of content? - 🔍 I Tested 8 Search Engines So You Don’t Have To
A hands-on breakdown of how search engines really compare in 2025. - 🛒 My Dad Ran a Store. I Went to Business School. Here's the Marketing Advice I Wish I Had Then
Lessons in local marketing, learned the hard way—so you don’t have to.
On its search page, ChatGPT even states, “We also partnered with news and data providers to add up-to-date information and new visual designs for categories like weather, stocks, sports, news, and maps.” That made me wonder how much of its search behavior is influenced by these kinds of partnerships.
I’ve read that ChatGPT's search results often match Bing’s—which makes sense given the underlying integration. Gemini (Google’s AI) taps into Google Search, while Perplexity uses its own crawler, PerplexityBot. Since Perplexity essentially built its own search engine from scratch, its results often feel a bit more limited. It’s not the full internet. It’s a curated slice.
Which brings me to a bigger point. When people say, “This AI didn’t answer my question,” what they’re really saying is that the AI didn’t interpret the question the way they wanted. That’s not necessarily a flaw in the tech—it’s a reminder that prompts still require a human touch.
Whether your question should be broad, specific, long-tail, or filtered depends on what you're trying to achieve. And unless you explicitly ask an LLM to cast a wide net, it’s probably going to give you a pretty focused set of results.
AI is powerful. But it’s still a tool. How well it works depends on how well we use it.
Just my two cents.
Read More
- 📉 The Marketing Mistake Small Businesses Keep Making
Why promoting your brand too broadly can backfire—and what to do instead. - 🏪 How to Categorize Your Business the Right Way
A smarter framework for aligning your marketing with your business type. - 🤖 Google AI Mode Is a Disaster for Search Results
What Google’s AI answers get wrong—and how it impacts content creators. - 🛑 Why Your Website Isn’t Converting
Common conversion killers (and how to fix them without overhauling everything). - 📬 What The 4-Part Marketing Framework Is Actually About
An inside look at the 4-Park Marketing Framework who it's for, and why it's effective.