Google Gemini Review: Is the Integration Worth It?

Google’s AI Lives Where Your Data Already Is

If you use Google Workspace every day, Gemini is worth the $20. If you do not, skip it and get ChatGPT or Claude instead.

That is the honest verdict after 3 months of testing Gemini Advanced alongside ChatGPT Plus and Claude Pro. Gemini’s AI is good. Not great. But the convenience of having it built into Gmail, Docs, Sheets, and your Android phone is something no other assistant can match. You are paying for integration, not for AI quality.

The Growth Story

Gemini is growing faster than any other AI assistant. It hit 662 million monthly active users in May 2026, up from 285 million in May 2025. That is more than doubling in 12 months. Market share now sits at 27.7%, second only to ChatGPT.

The engine behind this growth is Android. 81% of Gemini users come from Android devices. If you bought an Android phone in the last 18 months, Gemini is the pre-installed assistant. Most of those users did not choose Gemini — it chose them.

Here is what that means: Gemini has enormous reach but shallow engagement. Many of those 662 million users asked it to set a timer or check the weather and never came back. The people who use Gemini as a daily productivity tool — the users who matter for this review — are a smaller subset. Probably closer to 50-80 million.

Google has not published revenue or conversion numbers for Gemini specifically. But the $20/month Google One AI Premium plan bundles Gemini Advanced with 2TB of Drive storage. That bundling makes it hard to know how many people are paying for Gemini versus paying for storage.

What $20 Gets You

The Google One AI Premium plan includes:

• Gemini 2.5 Pro (the most capable model)
• 1 million token context window (2M in AI Studio)
• NotebookLM Plus
• Gemini in Gmail, Docs, Sheets, Slides, Drive, Calendar, and Meet
• Imagen 3 image generation
• 2TB Google Drive storage
• Priority access during peak times

The free tier gives you Gemini 2.0 Flash, web search, and basic capabilities. It is generous enough for casual use.

At $20, you are getting more than just an AI assistant — you are getting cloud storage and Workspace features. If you already pay for Google One storage, the AI features are almost free.

The AI Quality Problem

Let me be direct: Gemini 2.5 Pro is not as smart as Claude or ChatGPT. I have tested all three on the same prompts hundreds of times over 3 months. The pattern is consistent.

Reasoning. Gemini is fine for straightforward questions. It falls apart on multi-step problems with edge cases. I gave it a tax scenario with multiple income streams, deductions, and state-specific rules. It missed a deduction that both Claude and ChatGPT caught. The answer was confident and wrong.

Writing. Serviceable but flat. Gemini’s prose reads like it was written by someone who got a B in English and never read for pleasure. It is grammatically correct. It says the right things. It just does not sound human. For internal memos and quick drafts, it is fine. For anything public-facing, you will need to rewrite heavily.

Coding. I used Gemini to write a Python script for processing CSV files. It worked. But the code was messy — inconsistent naming, no error handling, a 200-line script that should have been 80 lines. Claude would have written cleaner code. ChatGPT with Code Interpreter would have run it for me.

Here is the uncomfortable truth: if Gemini were a standalone product with no Google integration, almost no one would pay $20 for it. The AI itself trails the competition. But it is not standalone. That is the whole point.

Why You Might Pay for It Anyway

Gmail Integration

This is what sold me. Gemini lives in a sidebar inside Gmail. I can ask it to summarize a 30-email thread in 3 bullet points. I can ask it to draft a reply in my usual tone. I can ask it to pull action items from my inbox.

I get about 200 work emails a day. Gemini saves me 30-45 minutes daily on email triage. That alone is worth $20/month. ChatGPT and Claude can do the same thing, but I have to copy and paste emails into their interfaces. The friction matters.

The drafts are not perfect. Maybe 1 in 5 needs significant rewriting. But 4 in 5 are sendable with minor edits. Over 200 emails a day, that compounds.

Google Docs and Sheets

Gemini in Docs can generate first drafts from prompts, rewrite sections, and summarize long documents. It is fine. Not as good as writing in Claude and pasting into Docs, but faster.

Sheets is where I expected more and got less. Gemini can generate formulas from natural language — “calculate the average sales for Q3 excluding returns” — but it gets them wrong about 15% of the time. For financial work, that error rate is too high. I still write most formulas myself.

The best Sheets feature is chart generation. Describe the chart you want, and Gemini creates it from your data. Not always pretty, but faster than clicking through the chart editor.

NotebookLM

NotebookLM is genuinely good. Upload up to 50 documents — PDFs, Google Docs, websites, YouTube transcripts — and it builds a searchable knowledge base. You can ask questions and get answers with citations to your source documents.

I used it to synthesize 12 industry reports into a strategy memo for a client. It pulled relevant data points from each report, cross-referenced findings, and produced a coherent summary in about 2 minutes. Doing that manually would have taken half a day.

The audio overviews feature — AI-generated podcast-style conversations about your content — is a gimmick. Fun once, never useful. But the core research tools are excellent. NotebookLM alone is a reason to subscribe.

The 1 Million Token Context Window

This is massive. About 750,000 words. Enough for an entire book series, a full codebase, or months of meeting transcripts.

I tested it with a 600-page legal document. I asked Gemini to find every reference to a specific regulation and explain the context. It did it in about 30 seconds. Claude could handle parts of this with its 200K context, but I would have had to break the document into pieces. ChatGPT’s 128K context would have required even more chunking.

The catch: recall degrades at extreme lengths. Information near the middle of a very long document is less reliably retrieved than information near the start or end. For documents under 200K tokens, retrieval is strong. Beyond that, double-check the answers.

Android

81% of Gemini users are on Android. If you use an Android phone, Gemini is your default assistant. You can invoke it from any screen. It can set alarms, send messages, control smart home devices, answer questions about what is on your screen, navigate with Maps, and play media.

I tested this on a Pixel 9. It is useful. Not life-changing, but useful. The “ask about this screen” feature works well for summarizing articles or translating text. The Google Maps integration is handy for finding restaurants and checking hours.

iPhone users get a standard Gemini app with fewer device-level capabilities. The gap is significant. If you are not on Android, Gemini loses its biggest advantage.

Where Gemini Fails

Reasoning Quality

I already covered this, but it bears repeating. Gemini is not reliable for complex reasoning. I do not trust it with financial calculations, legal analysis, or any task where being wrong has consequences. Claude and ChatGPT both handle these better.

Writing Quality

The prose is functional. It gets information across. It does not persuade, delight, or sound human. For marketing copy, blog posts, or anything creative, use ChatGPT or Claude instead.

The Google Lock-In Problem

Gemini is great inside Google’s walls. Outside them, it is average. There is no plugin ecosystem. No custom GPT-style marketplace. No strong developer community building on top of it. Fewer third-party integrations than ChatGPT.

If your company ever leaves Google Workspace, Gemini becomes much less useful. That is a real lock-in risk.

No Memory Feature

ChatGPT remembers your name, your job, your preferences across conversations. Claude has Projects that serve a similar function. Gemini starts fresh every time. You cannot teach it who you are or what you do.

Feature Gaps

Compared to ChatGPT, Gemini lacks:

• A Python code execution sandbox
• Custom GPTs or an agent marketplace
• Cross-session memory
• A polished voice mode (Gemini Live exists but is clunky)

What I Actually Use Gemini For

• Email. Summarizing threads, drafting replies, finding old messages. This is the killer use case.

• Research. NotebookLM for synthesizing reports. Gemini web search for current information. Better search than ChatGPT because it uses Google’s index.

• Document analysis. Anything over 200K tokens goes to Gemini for the context window.

• Android. Setting reminders, checking the weather, asking questions while driving.

What I Use Other Tools For

• Coding and code review goes to Claude. Better code, better debugging.

• Analytical writing goes to Claude. More precise, less cliche.

• Creative writing, image generation, and data analysis goes to ChatGPT. More natural prose, DALL-E 4, and Code Interpreter.

The Google Ecosystem Premium

Gemini is the right choice for exactly one type of user: someone who lives in Google Workspace and values convenience over raw AI quality. If that describes you, the $20 is well spent. The Gmail and NotebookLM integration alone will save enough time to justify it.

If you are not a heavy Workspace user, skip Gemini. ChatGPT Plus at the same price gives you a better AI. Claude Pro at the same price gives you better reasoning and coding.

The ideal setup, if you can afford it, is Gemini Advanced plus one of the other two. Use Gemini for Google tasks and use Claude or ChatGPT for everything else. That combination costs $40/month and covers more ground than any single tool.

Gemini’s growth from 285 million to 662 million users in one year is impressive. But growth driven by Android pre-installs is not the same as growth driven by product quality. Google needs to improve the core AI. Until then, Gemini is a great Google add-on, not a great AI assistant.