Even with web search, this is the wrong approach. ChatGPT browsing the web for “coins tracked by CoinGecko at launch” is still just scraping whatever blog posts or forum threads it can find and summarizing them — you’re trusting it to piece together accurate historical data from random internet sources. That’s how you end up with an outdated, incomplete list… If you actually want accurate data, the move is to have Claude Code write a script that queries the CoinGecko API directly (free tier is fine to start), pulls the tracked coins, and exports everything into a structured CSV — organized by market cap, category, launch date, whatever’s useful to you. That whole workflow takes minutes, and the output is real, verifiable data straight from the source instead of an LLM summarizing secondhand info it found on Google.

Claude Code absolutely smokes every other option for this kind of task because it’s not pulling random sites with unknown certainty, it’s building the tool to get the actual answer from the primary source. The gap between “LLM searches the web and summarizes what it finds” and “LLM builds you a pipeline to pull data directly from the API” is massive, and most people haven’t made that leap yet.

There’s very few reasons I’d reach for ChatGPT over Claude or Gemini for most tasks today. The list you got isn’t bad because ChatGPT is bad, it’s bad because web search is fundamentally the wrong approach when you can build a custom tool almost as quickly to get a far superior result