Google Gemini AI Reviews

I use Google Gemini primarily with my internal documents for accessing, revising, rewriting, and creating summaries.

The only advantage that I see is that Google Gemini is integrated into the Google ecosystem when we are on the Workspace plan. This makes it easier to access internal files without having to feed information from outside. The AI can work on those internally. It saves a lot of time in summarization, mail creation, and working with documents.

I would say the context length could be improved. When working on a 20-page document, Google Gemini sometimes loses context about earlier parts. It would be beneficial if the context limit, such as 128K tokens, were increased.

I have been working with Google Gemini for approximately two years.

I do not need any additional installation except activating the subscription license. There is no need for maintenance.

Google Gemini is quite stable but, like other AIs, it sometimes hallucinates.

Specifically for Gemini, I have not used the support. However, in general, I have given a rating of five because it's really difficult to reach them.

I use ChatGPT apart from Google Gemini and have also used other AIs like Anthropic Claude, Deepseek, and others for different tasks.

There was no need for installation, only the subscription needs to be activated.

The per license cost is on par with others, but with the number of licenses, it becomes expensive.

I have used ChatGPT, Claude, and open-source ones like Deepseek for my own use cases.

Sometimes Google Gemini could hallucinate and provide incorrect information, which needs explanation for correction. I would rate my overall experience with Google Gemini as a nine out of ten.

Public Cloud

Google

I use Google Gemini specifically to produce texts like emails, proposals, and meeting notes. My company adopted Google Workspace platform, and we have products from Vertex, so I use Google Gemini more than ChatGPT.

Google Gemini uses all the data that Google has produced. This extensive database is crucial for producing intelligence and machine learning results. Additionally, one advantage is its integration with Google Workspace, allowing easy use with Google Spreadsheets and Google Word.

I conducted some research using Google Gemini, and sometimes the results are not correct. For example, when I asked for information about marketing and inquired about the sources used, the sources were not relevant or had no relation to the subject I was researching.

I have had experience with Google Gemini for about one year.

I think ChatGPT seems to be more stable than Google Gemini.

The initial setup is easy because our base platform is Google. There is seamless integration with tools such as Google Meet and Google Calendar, which makes it very easy to use Google Gemini within Google Workspace.

I believe the price of Google Gemini is similar to that of ChatGPT, but I do not have specific cases to demonstrate this. I do know that we have subscriptions for both, but we didn't use them extensively.

I would rate Google Gemini an eight out of ten because of the dissemination of some answers. As for differences between ChatGPT and Google Gemini, one difference is that Google Gemini is integrated with Google Workspace, providing advantages for companies that use Google as their base platform. The product rating is 8 out of 10.

Google

I use Google Gemini as an intelligent search engine to conduct literature searches. It answers questions, even those I know the answers to, and verifies whether they are correct. I also use it to assist with functionality in KNIME and to resolve issues with applications like YouTube.

The most valuable feature of Google Gemini is its ability to function as an intelligent assistant, providing accurate answers to natural language queries and performing translations. It has a feature to place a slider on the screen that reports on world matters on a map. Additionally, Google Gemini offers advice on using tools like KNIME, enhancing its utility in professional settings.

The binning process could be more intuitive, especially when grouping data into categories like age groups. In particular, while the Auto-binner works well, the more general binning tool could be improved.

I have been working with Google Gemini for about six months to a year.

Google Gemini is very stable. Everything I've tried so far works without instability, bugs, or hallucinations. While chatbots can produce hallucinations, I have not encountered any with Google Gemini.

I previously used a tool called Leonardo, which was a powerful rule-based system. I also have experience with many other tools no longer available.

It took less than a minute to set up Google Gemini.

Google Gemini is free.

I have considered using other tools but settled on Google Gemini. Other tools used in the past include a solution called Leonardo.

I do not currently have any recommendations for improvement. The binning could be more intuitive, but this is a minor issue. I rate Google Gemini nine out of ten.

On-premises

I use Google Gemini AI to get ticket details, older tickets, and suggestions on what needs to be done and the email format. Google Gemini AI is a tool which is integrated with the Enterprise cloud. I would say we have integrated Google Gemini AI, Copilot, and similar solutions.

The best features Google Gemini AI offers for the way I use it include fast answers; a prompt will be given faster.

I end up relying on a special feature that allows me to upload easily; it is user friendly.

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.

Sometimes there is some difficulty while understanding the issue and the technical jargon, but otherwise it is all good.

It is not a 10 for me because some features need to be improved on the technical jargon side.

I have been using Google Gemini AI for almost two years.

Sometimes there is some difficulty while understanding the issue and the technical jargon, but otherwise it is all good.

Scalability is the main strength.

Google Gemini AI saves us two to three hours per week.

I would recommend going ahead with Google Gemini AI, which has great features nowadays. I would rate this product a 9.

Hybrid Cloud

Google

I use Google Gemini to find answers to complex questions and shorten the time I spend on research for complex topics. It helps me when conducting research that is a bit outside my direct responsibilities, like legal questions or inquiries about the e-commerce market in certain countries. Instead of conducting numerous searches on Google or asking a coworker who might be an expert, I use Google Gemini for those expert inquiries.

It is like having an expert at my fingertips for those out-of-scope queries. An expert on my fingertips is a perfect way to describe it. I just use the chat interface, and it has all the standard features I would expect from an LLM chat tool.

Google Gemini often gets factual answers wrong, which is problematic. With a lot of knowledge-based questions, instead of just using the knowledge graph from Google or something similar that would have the answer, Google Gemini hallucinates results, and that is very annoying.

I have been using Google Gemini in some capacity for nine months.

It is not an issue. Google Gemini scales very well.

I have had no contact with customer support, and I think it is non-existent.

Negative

I switched back to ChatGPT because it offers me better answers and better research capabilities.

I did not experience a return on investment, and in the end, I stopped using Google Gemini and went back to ChatGPT.

I only have experience as an individual user, and it is super trivial. I make a few clicks, pay with my credit card, and I am done.

Yes. I evaluated Perplexity, Claude, Grok, Deepseek, and Mistral.

If you are an Android user and all your data is in Google Cloud, and you are using Google Workspace and Gmail, then Google Gemini is practical because it has access to all your data. However, if you are not on those infrastructures, like if you are an iPhone user or use Microsoft Teams and Outlook, then I would recommend ChatGPT instead. I would not use Google Gemini. Because the product is not terrible, but if you are not part of the Google ecosystem with Android and Gmail, or if you care about factual accuracy, the product is underwhelming. I would rate the overall solution a 5 out of 10.

I use Google Gemini for creating emails, organizing documents, extracting data from large files, summarizing data for final conclusions, and data analysis.

Google Gemini handles large PDF files well, extracting and merging data smoothly. It allows the creation of custom chatbots using 'GEM' and provides an experimental search module capable of scanning hundreds of websites to deliver summarized data. Its ability to process large data sets and support real-time conversations with custom prompts is particularly beneficial. Continuous improvement is a key advantage.

Google Gemini needs more accurate answers and the ability to export data to Excel or Google Sheets. Currently, I can only export to the Doc app in Google Workspace. Exporting presentations to PowerPoint or Google Slides is not supported.

I have been working with Google Gemini for about six months.

Recently, Google Gemini has been very stable, without performance issues, even handling network problems smoothly with a retry.

Google Gemini handles multiple PDF files and big files efficiently. However, the cost is a consideration due to foreign currency fluctuations.

The initial setup of Google Gemini was straightforward and easy. I did not face any challenges.

Google Gemini's pricing is reasonable for trial purposes, but the local currency fluctuation makes it challenging for ongoing subscriptions.

I recommend Google Gemini for its user-friendly interface and continuous improvement. However, the price may be a barrier for some users. Overall, I rate Google Gemini as an eight out of ten.

We use AI solutions, primarily UiPath for RPA and various Generative AI tools, to develop solutions and serve our clients.

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. 

Additionally, we recently tested its image generation function and found it produces impressive images compared to other tools.

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.

I have been using Google Gemini for almost two years.

I would rate the stability of Google Gemini as an eight out of ten.

I would rate the scalability of Google Gemini as a seven out of ten.

I have not needed to contact customer service so far, so I would rate it as ten out of ten.

Positive

The initial setup was straightforward.

We haven't measured the return on investment so far since we use these tools to serve our clients.

The pricing is pretty average compared to other solutions.

We use various AI solutions including ChatGPT, Mistral AI, Perplexity, Claude AI from Anthropic, and tools developed in-house.

Based on my experience, I would definitely recommend Google Gemini as it is in strong competition with tools like ChatGPT and others. 

I would rate the overall solution as seven out of ten.

Hybrid Cloud

Other

Right now, the main use cases for Gemini involve mostly doing experimentation on agentic AI use cases, context understanding, making sure that the context is clearly understood, and then in RAG-based applications.

The role that we use Gemini for is mostly doing the heavy lifting on different agentic AI work that we do. For example, context understanding, making sure that it generates the right result, interpreting it, summarizing it, all those things.

I have seen benefits in terms of enhancing data flow or management within my organization. In terms of Gemini, it is mostly being used to do the agentic AI work.

What makes Gemini stand out is the multimodal feature that they introduced. It was one of the first solutions where users can generate images, which is actually pretty cool.

The main benefits that Gemini brings to the table include definitely speeding things up significantly. It is also introducing many new use cases that we were not able to work on earlier. The automation part of it is fantastic.

The code generation capabilities in Gemini could be improved. When comparing it against Anthropic, they have better code generation capability.

There are specific features that should be included in Gemini in the future. Code generation exists but sometimes debugging is not as good. For Google-related technology, it works very well, but for other code, it sometimes hallucinates.

I have been working with Gemini since it was released, approximately a year ago. I have been using it extensively for different activities through APIs as well as directly through the web interface.

My advice or recommendation to other users who are looking into Gemini is that there are many options available, but from its core capabilities, especially multimodal capabilities, and from the agentic AI framework, Gemini is doing very well from that perspective. On a scale of 1-10, I rate Gemini a 9.