Google Gemini (formerly Bard) is an AI assistant, presented as a creative and helpful collaborator. Gemini for Workspace is available via two plans: a Gemini Enterprise add-on, and a Gemini Business add-on.
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Perplexity
Score 8.7 out of 10
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An answer engine for publicly available knowledge, Perplexity's Enterprise Pro plan helps employees get fast answers to their most complex questions without the usual need to click on different links, compare answers, or endlessly dig for information.
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Pricing
Google Gemini
Perplexity
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Google Gemini
Perplexity
Free Trial
No
No
Free/Freemium Version
No
Yes
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
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More Pricing Information
Community Pulse
Google Gemini
Perplexity
Considered Both Products
Google Gemini
Verified User
Anonymous
Chose Google Gemini
I like the fact that Gemini gives you 3 options of possible answers, and if they don't fit your needs, you are able to have other 3, until you get the best result. I have seen that the results that Gemini provides are more accurate than others. It also evolving frequently and …
Gemini seems very simple to use, veyr similar to ChatGPT, I wish they did have a capability such as ChatGPT projects one, so one can separate topics easily, it's very customizable, where I believe it defeats the others is that, is already very simple to use all of Google …
Google Gemini, when compared to other AI Tools, can be rated as follows. - Creativity: Best - Product Research: Best - User Interface: Best - Features: Very Good - Code Generation: Very Good - Documentation: Very Good - Accuracy: Good - Speed: Good Considering the above …
Google is free and included in my workspace subscription. Claude has no image generation. Google Gemini is also a Google product, so I assume it will be able to have a better understanding of the areas on Google I am trying to market. Overall, I think it's better than Claude, …
Hootsuite's OwlyGPT is great for social listening data, but Gemini is far ahead in terms of caption writing and other writing needs. Even for content creation ideas, I'd rather take the social listening insights then feed that to Gemini.
Gemini can fix its hallucination and generic output problem to get at part with Perplexity. Additionally, to beat in web search, it can produce citation after every information given. By this it can gain users trust. Sometimes, it doesn't give output only. such instances can be …
Google Gemini has the best context window in the market, the parameters are incredible and the speed is fantastic. It will lose for ChatGPT by seniority. It has the same tools now and the integration with the Google environment makes adding AI to any project, seamless. It is …
I like the UI of Google Gemini way more, and I also love the inbuilt integrations it has with open google docs and sheets. ChatGPT does not have (AFAIK) a Deep research section. Google Gemini Gems is also an awesome addition which helps to automate mundane/repetitive tasks. I …
Best at productivity based tasks that I encounter in the workplace. I spend about 20% of my time developing, and a majority of it doing overhead or operational tasks. Google Gemini is the best for analyzing spreadsheets, performing forecasting tasks, etc. If I was more …
Google Gemini stands tall in this league of AI chat tools. It has a good clean interface and good ability to answer questions quickly on questions related to research and development. However, It lacks integration with IDE tools such as Chat GPT's integration with Microsoft …
Google Gemini does pretty well against ChatGPT in regards to the information sourced and accuracy. Gemini's user interface is about the same, however I find it a bit cleaner, especially the way information is outputted. We use a lot of the Google Suite products, so access to …
Google Gemini has the advantage of being integrated with the Google family of products, very well know and used world abroad. Like, using workspace, Gemini can read my email and make a daily summary, search for urgent and important stuff, etc. Also, Gemini allows me to do …
I have been using all the 3 products - ChatGPT, Gemini, and Perplexity. Perplexity helps when ChatGPT and Gemini fail. There have been several instances when Chat GPT and Gemini provided inaccurate results and in those times Perplexity became a clear winner. However, in terms …
Compared to the competitors Perplexity is more advanced in terms of doing its own research and giving an output that others cannot generate. Its algorithm is well equipped to handle complex queries and asks followup questions to gererate the desired output. Its faster and the …
Perplexity offers a unique approach to generative ai tools, which is built more around a search engine, over a chat style tool. While this is novel, and some times more useful than the chat type of tool, i didn't feel it added enough value or increased power over the standard …
Perplexity is a good allrounder when it comes to different use cases that an AI could or should cover. There are other AI tools that are better for specific niches such as creation of pictures or other content. But all in all Perplexity is on eye level with ChatGPT and other …
I think they both do well. I use ChatGPT for some pre-created GPTs. So because I use them for different functions, it's hard to compare them head-to-head. I also use an Abacus, which I like a lot. Overall, they are all good, but I have different use cases for each one.
Google Gemini AI features a Deep Research feature that helped us conduct thorough product research. We wanted to minimize the costs incurred by using SSL certificates in our organization, but we lacked knowledge on the subject. Google Gemini Deep Research did a thorough analysis and suggested ways to cut costs by switching vendors and using DV-type and/or wildcard SSL certificates. We also use Google Gemini for assistance during software development. However, Google Gemini seems to have limitations when suggesting code snippets for the Microsoft ecosystem.
Perplexity is helpful when you want auto-code generation for day-to-day problem scenarios such as Powershell script to accomplish a task, Code to invoke a REST API, Class generation from JSON/XML data, etc. It is also helpful when you want to correct or optimize code that you have self-written. Perplexity might not be best suited for scenarios when you need 100% accuracy without your self-verification of correctness.
Deep research for getting first business research draft from Gemini, post which i use series of prompts to improve it and use my understanding to refine it further
Canvas to produce structured business topic research and newsletter. Direct edits to the sections and making client ready reports
Learning mode to get help on step by step automation of AI workflows
Currently the document database caps out at 10, requiring us to condense some of our policies
It's large context window is a blessing and a curse. Sometimes it stops generating half way through a very ambitious request as it delivers page after page of content
There is no way to share Gems currently, so we have to publish guides to our employees on how to best configure them
It is simple, has the same standard industry format, all the tools are accessible and recognizable. Whenever we are in the browser we can switch from one request to another while the first is still running. Little hallucination and the context window has no competitor on the market right now. The pricing is also the biggest advantage.
Gemini seems very simple to use, veyr similar to ChatGPT, I wish they did have a capability such as ChatGPT projects one, so one can separate topics easily, it's very customizable, where I believe it defeats the others is that, is already very simple to use all of Google ecosystem, such as Drive, docs, sheets and else
I think they both do well. I use ChatGPT for some pre-created GPTs. So because I use them for different functions, it's hard to compare them head-to-head. I also use an Abacus, which I like a lot. Overall, they are all good, but I have different use cases for each one.
