16 Things Google Gemini Does Better Than Other AI
Gemini gets overlooked. People assume it's just Google's ChatGPT clone and move on. That's a mistake. There are specific things Gemini does dramatically better than anything else—especially if you're already in Google's ecosystem.
Here are 16 ways I use Gemini that I couldn't replicate with ChatGPT or Claude.
1. Real-time information that's actually current
This is Gemini's killer feature. Ask about something that happened yesterday and it knows. Stock prices, sports scores, recent news—Gemini's search integration is seamless.
ChatGPT's browsing is clunky. Claude only recently got search. Gemini was built with real-time info from day one.
2. Analyzing YouTube videos
Drop a YouTube link into Gemini and ask questions about it. "What's the main argument in this video?" or "Summarize the section about pricing." It actually watches the video and responds intelligently.
I use this constantly for research. Hour-long podcast? Gemini gives me the highlights in 30 seconds.
3. Processing massive documents
That million-token context window is real. I've dumped entire codebases, 200-page PDFs, and lengthy legal documents into Gemini. It handles them without breaking.
Claude and ChatGPT have improved here, but Gemini still handles the largest contexts most reliably.
4. Email management in Gmail
Gemini in Gmail can draft replies, summarize threads, and find specific emails based on vague descriptions. "Find that email from last month about the budget revision" actually works.
5. Google Drive search on steroids
"Find my presentation about Q3 marketing results" searches across Docs, Sheets, Slides, and PDFs. It understands content, not just filenames. This saves me hours of manual searching.
6. Spreadsheet formulas and analysis
Gemini in Sheets writes complex formulas, creates pivot tables, and analyzes data. I describe what I want in plain English and it generates the formula. No more Googling "VLOOKUP syntax" for the hundredth time.
7. Image analysis with context
Upload an image and ask questions. Gemini's vision is excellent—it can read text in photos, describe complex diagrams, and identify objects. I've used it to digitize handwritten notes and analyze competitor UI screenshots.
8. Travel planning with current prices
"Plan a 5-day trip to Tokyo in April with actual flight and hotel prices." Because Gemini has real-time search, it gives you current pricing instead of hallucinated estimates from 2023.
9. Coding with up-to-date documentation
Ask about a recent library feature and Gemini knows about it. Other models are stuck with training data cutoffs. Gemini searches current documentation.
10. Meeting prep from Gmail and Calendar
Before important meetings, I ask Gemini to summarize all recent emails with that person and pull relevant documents. It builds context from my actual communications, not generic advice.
11. Comparing products with current reviews
"Should I buy the Sony WH-1000XM5 or the Bose 700?" Gemini pulls recent reviews, compares specs, and gives a recommendation based on current pricing. Much better than asking an AI that doesn't know what products are currently available.
12. Fact-checking in real time
Gemini is more likely to search and verify information instead of confidently making things up. The citation links are actually useful for verification.
13. Google Maps integration
"Find coffee shops near my next meeting that have good wifi and aren't too loud." Gemini combines Maps data with reviews to give useful recommendations.
14. Language translation with context
For translation work, Gemini handles nuance better because it can search for contemporary usage and idioms. Other models sometimes give technically correct but culturally outdated translations.
15. Academic research
Searching across Google Scholar, Gemini helps me find relevant papers and summarizes them. For literature reviews, this is a massive time-saver.
16. Keeping up with rapidly changing topics
AI news, crypto markets, tech releases—anything where information changes weekly, Gemini's real-time access is essential. I stopped trying to keep up with AI model releases manually. Gemini tracks it for me.
When NOT to use Gemini
Being honest: Gemini isn't the best for everything.
For creative writing, Claude is better. For coding complex features, Claude or GPT-5 edge it out. For casual conversation, ChatGPT feels more natural.
But for anything requiring current information, Google ecosystem integration, or massive document analysis? Gemini wins.
Try them all
The best setup is having access to multiple models and using each for its strengths. LazySusan gives you Gemini plus ChatGPT, Claude, and 50+ other models in one place. $2 gets you a week to try everything.
What's your favorite Gemini use case that I missed?