Genspark AI: Key features, Pricing, Rating, & Alternatives

Genspark AI

Genspark AI is an AI-powered agent platform that transforms online search and productivity, delivering real-time, personalized answers through intelligent multi-agent AI technology.

4.7

Updated 09/28/2025

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What is Genspark AI?

Founder: Eric Jing
Launch: 2023
Use Cases: Research, content creation, task automation, enterprise productivity
Technology: Multi-agent AI framework, Mixture-of-Experts (MoE) architecture, integration of multiple large language models (LLMs)

Genspark AI is an AI-powered search agent platform that transforms how users search and interact with information on the web. Genspark AI was founded in 2023 by Eric Jing. It applies a multi-agent AI framework to build Sparkpages, which are unique and dynamic pages that collect and display the best answers to questions that users ask, all on a single page, at the speed of real-time. Unlike regular search engines, Genspark synthesizes multiple sources of information, providing clarity, efficiency, and accuracy. The platform also includes productivity support using AI Docs and AI Slides, as well as auto-document handling to streamline professional productivity into tasks.

Genspark AI uses a cutting-edge Mixture-of-Experts setup with several large language models, including Meta's LLaMA and OpenAI's GPT series, covering all subjects and tasks. Genspark AI is leading the way in combining personalization, automatic document help, and smart features to offer a better search and productivity experience than current AI technology.

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Frequently Asked Questions

Genspark AI is a platform that uses multi-agent AI to generate Sparkpages, delivering real-time, synthesized answers to user queries.

Unlike traditional search engines, Genspark provides complete answers in one page by synthesizing information rather than returning just links.

Sparkpages are AI-generated pages that consolidate research and insights into an organized, easy-to-read format for user queries.

Genspark AI was founded by Eric Jing in 2023, a former Baidu executive with extensive AI expertise.

It uses a multi-agent AI framework and Mixture-of-Experts (MoE) architecture, integrating large language models like GPT and LLaMA for accurate results.