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Google Gemini AI vs Poe comparison

 

Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

Google Gemini AI
Average Rating
8.0
Reviews Sentiment
5.3
Number of Reviews
17
Ranking in other categories
AI Writing Tools (1st), AI Code Assistants (3rd), Large Language Models (LLMs) (1st), AI Proofreading Tools (1st)
Poe
Average Rating
0.0
Number of Reviews
0
Ranking in other categories
AI-Powered Chatbots (7th)
 

Mindshare comparison

Google Gemini AI and Poe aren’t in the same category and serve different purposes. Google Gemini AI is designed for Large Language Models (LLMs) and holds a mindshare of 15.5%, down 29.0% compared to last year.
Poe, on the other hand, focuses on AI-Powered Chatbots, holds 8.7% mindshare, up 1.1% since last year.
Large Language Models (LLMs) Market Share Distribution
ProductMarket Share (%)
Google Gemini AI15.5%
Blackbox.ai16.7%
DeepSeek9.8%
Other58.0%
Large Language Models (LLMs)
AI-Powered Chatbots Market Share Distribution
ProductMarket Share (%)
Poe8.7%
DeepSeek5.8%
ServiceNow Virtual Agent5.3%
Other80.2%
AI-Powered Chatbots
 

Featured Reviews

Uday Boya - PeerSpot reviewer
AI Research Enthusiast and Developer at ADP
AI workflows have transformed prototyping and coding productivity across my daily projects
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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Top Industries

By visitors reading reviews
University
11%
Computer Software Company
9%
Comms Service Provider
9%
Government
6%
University
13%
Financial Services Firm
11%
Educational Organization
11%
Comms Service Provider
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business7
Midsize Enterprise6
Large Enterprise6
No data available
 

Questions from the Community

What is your experience regarding pricing and costs for Google Gemini?
The pricing of Google Gemini AI is not well understood, so no feedback can be provided on the cost. It was thought to have come together with the device subscription.
What needs improvement with Google Gemini?
Google Gemini AI is not used much because it does not appear to be as responsive or as effective as Alexa when responding to questions, queries, instructions, or commands. When in a room with Googl...
What is your primary use case for Google Gemini?
Google Gemini AI is used for common, basic digital assistant queries such as asking about the weather and the time. Often there are conflicting responses from Google Home, Google Home Mini, and the...
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Earn 20 points
 

Comparisons

 

Also Known As

Google Bard
No data available
 

Overview

Find out what your peers are saying about Google, OpenAI, Blackbox and others in Large Language Models (LLMs). Updated: January 2026.
881,665 professionals have used our research since 2012.