Stop picking one
The framing is wrong. The question isn’t which AI tool to commit to. It’s which one to reach for at which moment. If you’re paying for a Pro tier of just one, you’re either spending too much on a tool you under-use or missing the strengths of the other two.
Here’s how we actually use them across a normal week.
Claude — the writing and reasoning workhorse
Best for: long-form copy, strategy documents, ad creative variants, briefs, complex reasoning, code review.
Where Claude wins: it doesn’t pad. Ask it for ten ad headlines and you get ten distinct ones, not seven near-duplicates. Ask it to draft a strategy document and the structure is clean, the logic holds, and it pushes back when you ask for something that doesn’t make sense. It’s also markedly better at long context — feed it a 30-page strategy doc and ask for refinements and it actually engages with the whole document.
Where it falls short: image generation (none), real-time web search (limited), and very recent news (knowledge cutoff lag).
ChatGPT — the all-rounder with the best ecosystem
Best for: quick research with web search, image generation via DALL-E, voice mode for brainstorming on the move, custom GPTs for repeated workflows.
Where it wins: the ecosystem. Custom GPTs trained on your brand voice, the GPT Store, plugins, advanced data analysis with Python execution, and the most polished mobile experience. For one-off research or quick visual mockups, it’s the fastest path.
Where it falls short: hallucinations on niche topics, occasional sycophancy, and writing that needs heavy editing to not sound like ChatGPT.
Gemini — the Google integration play
Best for: anything inside Google Workspace, large data analysis, multi-modal video understanding, deep research reports.
Where it wins: Google Sheets, Docs, and Drive integration. You can ask Gemini to analyse a spreadsheet directly in Sheets, or summarise a 100-page PDF in Drive without copy-pasting. The Deep Research feature is the strongest of the three for compiling structured reports from web sources. Long-context performance on huge documents (1M+ tokens) is genuinely impressive.
Where it falls short: the writing voice is the most generic of the three, and it’s noticeably more conservative — frequently refuses or hedges on requests the others handle fine.
The actual split we use
- Strategy docs, briefs, ad copy, client emails: Claude
- Quick web research, voice brainstorming, image mockups: ChatGPT
- Data analysis on spreadsheets, deep research reports, anything inside Google Workspace: Gemini
- Code review and scripting: Claude (with ChatGPT as backup for very specific library questions)
What none of them are good at
Three things still need a human: actually understanding your client’s business politics, judging whether a creative concept will resonate culturally, and knowing when to say no. AI accelerates execution. It doesn’t replace judgement.