Google Gemini AI Reviews

Name: Google Gemini AI
Brand: Google
Rating: 4.0 (18 reviews)

Vendor: Google

4.0 out of 5

18 reviews
88% willing to recommend

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What is Google Gemini AI?

Google Gemini AI integrates into Google Workspace for productivity, leveraging multi-modal capabilities to optimize tasks in text, image, and data handling. It balances cost and performance, enhancing operations through seamless real-time data processing and intelligent assistance.

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Google Gemini AI is the #1 ranked solution in Writing Tools, #1 ranked solution in top Large Language Models (LLMs) solutions, #1 ranked solution in top AI Proofreading Tools solutions, and #4 ranked solution in top AI Code Assistants solutions. PeerSpot users give Google Gemini AI an average rating of 8.0 out of 10. Google Gemini AI is most commonly compared to Cursor: Google Gemini AI vs Cursor. Google Gemini AI is popular among the large enterprise segment, accounting for 49% of users researching this solution on PeerSpot. The top industry researching this solution are professionals from a university, accounting for 10% of all views.

Helped 889,955 peers since 2012

Featured Google Gemini AI reviews

Uday Boya

AI Research Enthusiast and Developer at ADP

There is a steeper learning curve for advanced agentic features that could be improved, and hallucinations should be reduced. The answers provided are long, which is impressive but not efficient for users needing rapid, crisp responses. Providing concise answers would improve the user experience. Google Gemini AI's UI code is too vague and the designs are not very appealing. Google Gemini AI can improve its UI code and address hallucination issues. The long answers provided can be tiresome to read, and the pricing is too high for individuals like me. These considerations led me to give a rating one point less than ten. Native GitHub or Vercel export could be integrated, and the context could be increased to over two million tokens. A simplified agentic setup for the UI could also help non-technical experts handle it more effectively.

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Luís Silva

Chief Technical Lead at a consultancy with 201-500 employees

There is another benefit in that Google Gemini is highly competitive from a cost perspective. The cost per token is very competitive. It's not the best - the Chinese models such as DeepSeek are better, but I can't use them. From a cost perspective, between European and United States options, Google Gemini is very competitive. It's not only its cost, it's also very performing. The time it takes to process the prompts and context information is very fast. It's one of the fastest models in the market. That's another advantage. There are other models which are also very good in quality but not as fast, such as Anthropic Claude. Google Gemini currently has a very good balance. The AI capabilities of Google Gemini are a multi-modal LLM which allows me to pass documents, images, and texts in the same prompt. Being multi-modal makes my life easier. I don't have to translate information before I can work with it. Google provides free tools to test scenarios, which speeds up development and reduces costs. It's a very fast and accurate model with quality responses.

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Bharat Raghavan

Product Manager for Marketing and Strategy at a tech vendor with 10,001+ employees

I currently work at Oracle, so most of the tools we use are in-house and we don't use many third-party tools. However, one tool which comes into use quite a bit for us is Seismic, which I just started using. Seismic is a sales enablement tool that integrates with Salesforce, and as I am on the marketing side of things, we use this tool for providing enablement collateral for sales enablement. Personally, I use Figma as an open-source tool. After AI has come in, I largely rely on AI for most things and we have Oracle's own copilot. As an Oracle employee, I don't directly work with any Google solutions for AI or Microsoft, but we have Oracle's own AI interface that takes APIs from different LLM models, so we consume ChatGPT, Google Gemini, and Cohere through Oracle's interface built for us. I have not used scalable ML models, as I don't directly deal with the engineering side of things. I have not used Google Gemini on-premises; everything I've used has been through existing Google servers. For the pricing of Google Gemini, you can find it online; I've not used the paid version, but I know ChatGPT's paid versions aren't very expensive and I find the pricing model satisfactory for users. I don't use Google Gemini through AWS Marketplace as I'm an Oracle employee, so we use it through OCI, which is Oracle Cloud Infrastructure, a competitor of AWS. My rating for Google Gemini is 8 out of 10.

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Google Gemini AI mindshare

Product category:

As of April 2026, the mindshare of Google Gemini AI in the Large Language Models (LLMs) category stands at 15.9%, up from 12.5% compared to the previous year, according to calculations based on PeerSpot user engagement data.

Large Language Models (LLMs) Mindshare Distribution
Product	Mindshare (%)
Google Gemini AI	15.9%
Blackbox.ai	14.8%
ChatGPT Team - Enterprise	8.9%
Other	60.4%

Large Language Models (LLMs)

PeerResearch reports based on Google Gemini AI reviews

Type	Title	Date
Category	Large Language Models (LLMs)	Apr 23, 2026	Download
Product	Reviews, tips, and advice from real users	Apr 23, 2026	Download
Comparison	Google Gemini AI vs ChatGPT Team - Enterprise	Apr 23, 2026	Download
Comparison	Google Gemini AI vs Cohere	Apr 23, 2026	Download

Valuable Features

Google Gemini AI excels in cost-effectiveness, rapid processing, and multimodal capabilities. It integrates seamlessly with Google services and supports cloud deployment. The AI handles real-time data efficiently, provides accurate natural language responses, and simplifies application development with free tools and API access. Its extensive database and integration with Google Workspace enhance productivity by managing large datasets, supporting real-time interactions, and facilitating custom chatbot creation while ensuring high accuracy in diverse languages.

"Google Gemini AI positively impacts our organization as it eases the work, which is a positive aspect that has improved our day-to-day activity."
"The most valuable feature of Google Gemini for us is its text writing capabilities, which we are using for writing texts and social media posts for our company's social media page."
"Google provides an out-of-the-box solution with a comprehensive ecosystem of tools, where everything is fine-tuned, and Google offers a comprehensive package that includes compute, networking, and data storage, allowing me to manage any kind of workload out of the box."

Room for Improvement

Improving the context size and reducing hallucinations are primary concerns for users of Google Gemini AI. Many find its initial setup cumbersome compared to competitors and desire greater flexibility and faster responses. Users also wish for enhanced creativity, simpler agentic features, clearer UI design, and better code generation capabilities. Additionally, improving justification of answers, more precise outputs, and diverse exporting options are frequently mentioned, as well as addressing issues in understanding technical jargon.

"Sometimes there is some difficulty while understanding the issue and the technical jargon, but otherwise it is all good."
"Google Gemini could improve its functionalities compared to other tools like ChatGPT, especially in the customization options, Canvas mode, and web search tools, which aren't as advanced."
"Google can improve in model justification and interpretability of answers. I still perceive Google Gemini, in some instances, as a kind of black box."

ROI

Users report varied outcomes with Google Gemini AI. Some achieve cost reductions and enhanced productivity, citing competitive pricing, especially for large-scale data analysis. Others highlight significant efficiency improvements in research and coding, with productivity increasing fourfold and a notable reduction in designer dependency due to Nano Banana. However, some users find no measurable gains and revert to other tools. Overall, the tool is seen as beneficial yet not universally successful, with use contexts influencing effectiveness.

Pricing

Enterprise users report mixed experiences with Google Gemini AI pricing. While some find the initial setup costs expensive, others see the pricing as competitive and reasonable compared to alternatives. The cost per license is similar to industry standards, but it may become costly with multiple licenses. Pricing may fluctuate due to currency changes, impacting long-term subscriptions. Some users cite a lack of clarity around pricing, especially when bundled with device subscriptions.

Popular Use Cases

Organizations primarily use Google Gemini AI for data analysis, market research, and decision-making. It assists in generating reports, analyzing real-time streaming data, and integrating with various systems for enhanced operations. Teams leverage it for creating emails, organizing documents, extracting data, executing large language model applications in marketing and financial services, integrating with Google Sheets, and producing strategic content. Its ability to provide real-time insights and context awareness is key in multiple professional settings.

Service and Support

Users express mixed experiences with Google Gemini AI customer service. Many have not engaged with technical support due to self-sufficiency, while others rate responses as responsive and informative. Some find it challenging to contact support, expressing concerns about accessibility. The global community contributes to easy solution finding. While some rate service highly due to limited personal need, others note that Google's self-service approach is prevalent, including comprehensive online resources for autonomous troubleshooting.

Deployment

Users found Google Gemini AI's initial setup user-friendly and efficient. Many highlighted the seamless integration within Google Workspace, especially with tools like Google Meet and Google Calendar. The process required minimal effort, often needing only an update or subscription activation. While some noted complexities in Google Cloud environments, the transition to Google Gemini AI was smooth, taking less than a minute for many. Developers appreciated the thoughtful design tailored to their needs.

Scalability

Users value Google Gemini AI's scalability, highlighting its ability to handle large datasets and research quickly. Paid tiers improve computing power, although context size limitations and costs can impact some users. Ratings vary, with some citing excellent scalability due to Google's infrastructure, while others note challenges in complex scenarios or cost concerns. Gemini AI is generally viewed positively for its scalability capabilities.

Stability

Gemini AI is generally stable, with users noting its reliability and performance. Probabilistic outcomes require developer input for consistent stability. High ratings reflect its dependable use, though some note occasional hallucinations. Recent improvements include addressing past context limits. Despite previously noted issues with lengthy responses and cost, Gemini maintains a strong reputation for its storage and compute powers. Users appreciate its glitch-free experience compared to others, while acknowledging potential areas for further enhancement.

These insights are based on the in-depth reviews provided by peers to help you make a better buying decision.

Download our Google Gemini AI Buyer's Guide for additional reliable information.

Review data by company size

By reviewers
Company Size	Count
Small Business	5
Midsize Enterprise	6
Large Enterprise	7

By reviewers

By visitors reading reviews
Company Size	Count
Small Business	212
Midsize Enterprise	102
Large Enterprise	302

By visitors reading reviews

Top industries

By visitors reading reviews

University

10%

Computer Software Company

Comms Service Provider

Financial Services Firm

Healthcare Company

Government

Manufacturing Company

Construction Company

Educational Organization

Outsourcing Company

Retailer

Real Estate/Law Firm

Media Company

Non Profit

Recreational Facilities/Services Company

Wholesaler/Distributor

Performing Arts

Energy/Utilities Company

Legal Firm

Transportation Company

Marketing Services Firm

Hospitality Company

Insurance Company

Consumer Goods Company

Logistics Company

Recruiting/Hr Firm

Maritime Company

Pharma/Biotech Company

Wellness & Fitness Company

Compare Google Gemini AI with alternative products

Learn more about Google Gemini AI

Google Gemini AI is designed to enhance productivity through its integration with Google services, providing smart solutions for text writing, automated workflows, and image generation. It supports efficient data handling and intelligent searches, with real-time processing ensuring fast and accurate results. While it merges seamlessly with Google's offerings, there are areas for improvement like customization, data export functionality, and the interpretability of answers. Users have called for expanded context size, improved context retention, and enhanced factual accuracy along with creativity enhancements without hallucinations. Video creation features and a streamlined setup process are also on user wishlists.

What are the key features of Google Gemini AI?

Multi-modal Capabilities: Efficiently processes text, images, and data for enhanced task handling.
Google Workspace Integration: Seamless collaboration to boost productivity.
Real-time Data Processing: Ensures fast and accurate analyses and responses.
Intelligent Assistance: Facilitates dynamic searches and task automation.
Automated Workflows: Streamlines processes, saving time for users.

What benefits should users look for in reviews?

Cost and Performance: Achieves a balance for efficient operations.
Enhancement of Productivity: Boosts efficiency with seamless integration and task assistance.
Accurate Data Handling: Ensures precise data processing and real-time analysis.
Enhanced Creativity: Supports innovative solutions without hallucinations.

In specific industries, Google Gemini AI is employed to analyze financial services, enhance marketing strategies, conduct market research, manage internal documents, and provide real-time data analysis. It aids in creating test cases, generating emails, organizing documents, and enhancing intelligent searches, supporting strategic research initiatives efficiently.

Google Gemini AI was previously known as Gemini, Google Bard.

Title	Rating	Mindshare	Recommending
Cursor	4.5	N/A	100%	2 interviews Add to research
Claude for Enterprise	3.9	8.9%	75%	5 interviews Add to research

Author info	Rating	Review Summary
AI Research Enthusiast and Developer at ADP	4.5	I've used Google Gemini AI extensively for coding, prototyping, and multilingual applications; it offers powerful context awareness and integration, though improvements in pricing, UI design, and concise responses would enhance the experience.
Chief Technical Lead at a consultancy with 201-500 employees	4.0	I've integrated Google Gemini for smarter software decision-making. It's cost-effective, fast, and multi-modal, handling documents, images, and texts. While competitive in performance and accuracy, it could improve context size and creativity. Previously, I've used OpenAI and Anthropic models.
Product Manager for Marketing and Strategy at a tech vendor with 10,001+ employees	4.0	I find Google Gemini excels in market research and real-time data analysis due to its integration with Google search results and products like Sheets. Although excellent for factual reporting, it lacks creativity needed for tasks like digital storytelling.
Deputy Head at Philippine Navy	3.0	I’ve used Google Gemini AI mainly for basic tasks, and while it integrates easily and delivers strong search results, I find Alexa more responsive overall. Gemini sometimes causes device conflicts and responds slowly, especially with Android Auto.
Senior Consultant at a outsourcing company with 201-500 employees	4.0	I use Google Gemini for content summarization and app scripting due to its specific and intensive search capabilities. However, I find it needs up-to-date content and faster responses. Despite its benefits, I prefer ChatGPT for its reliable answers.
CTO at AlphaNuTech	4.5	I use Google Gemini, specifically the Gemini 2.5 pro-research model, which saves time and navigates information efficiently. It could improve by allowing expert flexibility. I also utilize ChatGPT and Anthropic Claude for specialized tasks.
Vice President, Seo at idealo Internet GmbH	2.5	I use Google Gemini to quickly find answers to complex questions outside my expertise, like legal or e-commerce topics. Despite its helpful features, inaccurate responses were frustrating, leading me back to ChatGPT, which provides better results.
Test Automation Engineer at Capgemini	4.0	I use ChatGPT regularly for creating test cases and daily tasks. With proper prompt engineering, it gives accurate responses. It's user-friendly for both IT professionals and beginners, though advanced features would enhance coding and video-related capabilities.

Google Gemini AI Reviews

What is Google Gemini AI?

Featured Google Gemini AI reviews

Google Gemini AI mindshare

PeerResearch reports based on Google Gemini AI reviews

Valuable Features

Room for Improvement

ROI

Pricing

Popular Use Cases

Service and Support

Deployment

Scalability

Stability

Review data by company size

Top industries

Compare Google Gemini AI with alternative products

Learn more about Google Gemini AI

Related questions

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