{"id":199818,"date":"2026-02-19T13:04:23","date_gmt":"2026-02-19T12:04:23","guid":{"rendered":"https:\/\/liora.io\/en\/?p=199818"},"modified":"2026-02-19T13:04:23","modified_gmt":"2026-02-19T12:04:23","slug":"genspark-all-about-this-ai-agent","status":"publish","type":"post","link":"https:\/\/liora.io\/en\/genspark-all-about-this-ai-agent","title":{"rendered":"Genspark: the super AI agent that turns your prompts into actions"},"content":{"rendered":"

Genspark is an innovative AI agent transforming queries into actions: enhanced research, sourced summaries, slide\/document creation, automatic downloads, and even phone calls. Discover its main features, strengths, and drawbacks compared to Perplexity and ChatGPT Search, along with a handy guide to mastering it!<\/b><\/strong><\/p>\n\n\n\n

Online search is rapidly evolving. We no longer simply type a query to gather links; we now delegate an intention to obtain a ready-to-use result. At least, that’s the promise of “agents”: understanding the need, finding the information, verifying it, and then producing a practical deliverable (such as an action plan, presentation slide, or even a phone call). Enter Genspark into this evolving landscape. Initially, this service offered “Sparkpages”: comprehensive and sourced answer pages.<\/p>\n\n\n\n

However, in 2025, it transformed its offering around a Super Agent capable of orchestrating models and tools to perform tasks<\/b><\/p>\n\n\n\n

Why is everyone discussing Genspark in 2025?<\/h2>\n\n\n\n

In 2025, Genspark transitions from “AI search” to execution with its Super Agent<\/b>. Technically, the team utilizes GPT-4.1 and the Realtime API<\/b> to manage various agents and tools, adopting a stated “no-code”<\/a> approach for users: you describe the task, and the agent handles it. This shift was marked by significant business growth, achieving $36M ARR in just 45 days<\/b> according to a use case published by OpenAI and also mentioned by Anthropic<\/a> in a client study.<\/p>\n\n\n\n

In terms of funding, Genspark raised $100M in Series A on February 21, 2025<\/b>, with a valuation approximating $530M, boasting over 2 million monthly users on that date, according to Reuters. This Series A follows a $60M seed round, signifying a substantial commitment to the rise of AI agents. Leading the initiative is Eric Jing, former leader of Baidu’s Xiaodu unit (voice assistant), underscoring the “search engine + agent”<\/b> ambition.<\/p>\n\n\n\n\n\n\n\n

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Learn everything about Genspark<\/a><\/div>\n<\/div>\n\n\n\n

From Sparkpages to the Super Agent: a swift transformation<\/h3>\n\n\n\n

Initially, Genspark gained recognition for Sparkpages: pages generated on-the-fly that consolidate multiple sources, add an interactive copilot, and deliver a usable response in one reading. The concept: eliminate the need to hop from link to link and receive a clear, sourced, ad-free result page<\/i> that can be further explored through interaction.<\/p>\n\n\n\n

In April 2025, the direction shifts: Genspark moves from synthesis<\/i> to execution by launching the Super Agent. Instead of just creating a Sparkpage, the agent plans the task and selects appropriate tools<\/b>. It can then make calls, prepare slides, generate videos, or retrieve documents.<\/p>\n\n\n\n

The Sparkpage format remains available as an “overview” but now serves as a springboard for actions. The result is a more defined “all-in-one workspace” positioning with accelerated traction, fueled by the promise “one prompt = a deliverable (or an action)”<\/b>, across both web and mobile platforms.<\/p>\n\n\n\n

Under the hood: 9 models and 80 tools<\/h3>\n\n\n\n

The Super Agent manages nine specialized models and over 80 tools<\/b>. Its system dissects the request, assigns each sub-task to the most relevant component (research, extraction, reasoning, media generation…), and then reassembles everything. Its goal is to deliver a usable result or initiate an action (call, download, booking). This orchestration layer<\/b> is what elevates a simple chatbot into an operational assistant.<\/p>\n\n\n\n

The real-time elements are equally vital: the agent utilizes vocal and control capabilities that enable it to make real phone calls<\/b> (via the “AI Call For Me” feature), create presentations<\/b> (AI Slides), generate images\/videos<\/b>, and manage files<\/b> through AI Drive.<\/p>\n\n\n\n

In practice, the usage method evolves. Initially, you describe the objective: prepare a conference call plan, book a slot, send the recap… The agent progresses to deliver the required result. For exploration or verification purposes, you can still request a Sparkpage for background support and then proceed to action.<\/p>\n\n\n\n\n\n\n\n

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Learn to develop an AI agent<\/a><\/div>\n<\/div>\n\n\n\n

The must-know features<\/h2>
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The crux of Genspark is its Super-Agent capable of chaining research, synthesis, and then action<\/b>. It can plan trips, compare products, generate content, and control tools. All executed from a single prompt.<\/p>\n\n\n\n

Do you need a deck, a memo, or a spreadsheet? Genspark creates “boardroom-ready” presentations<\/b>, structured documents, and spreadsheets, eliminating the need to start from zero. It’s designed to expedite briefs, committees, and reporting, providing a directly usable output via AI Slides, Docs, and Sheets functionalities.<\/p>\n\n\n\n

Conversely, the AI Drive + “Download For Me” feature<\/b> allows the agent to fetch files from the web (PDFs, images, videos\u2026), download them, and store them in an integrated Drive. Handy for assembling a documentary file or gathering all subject appendices before drafting.<\/p>\n\n\n\n

Another standout feature is “Call For Me”<\/b>. The agent makes genuine phone calls to book, request a quote, or follow-up with customer service. To be used wisely (considering consent, recording, call cost), yet it’s a remarkable time-saver<\/b> for repetitive tasks.<\/p>\n\n\n\n

Whether you need to visualize an idea, produce a thumbnail, or a short clip, Genspark can generate visuals and videos from a prompt. Useful for social media or presentations.<\/p>\n\n\n\n

How to try Genspark?<\/h3>\n\n\n\n

To get started, access the platform. Open Genspark on the web<\/a>, or download the Android or iOS app<\/a>.<\/p>\n\n\n\n

Engage in a productive “first run.” Provide a clear objective, rather than a simple question<\/b>. For example: “Prepare a comparison of 3 hotels in Barcelona for September 20\u201322, then call the best one to verify family room availability.”<\/p>\n\n\n\n

Allow the agent to proceed, then validate\/adjust<\/b>. The results appear as a summary with action options. You can request a Slide or a Doc, then export if needed and refine through brief iterations.<\/p>\n\n\n\n

Also explore file automation<\/b> with AI Drive and Download for Me. Submit a batch of links\/subjects: the agent retrieves, organizes them, and offers a ready-to-use documentary base.<\/p>\n\n\n\n\n\n\n\n

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Get trained in using an AI agent<\/a><\/div>\n<\/div>\n\n\n\n

Genspark vs Perplexity vs ChatGPT Search: which is the leading AI agent?<\/h2>
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Perplexity is undoubtedly the benchmark for AI search engines. It provides direct and sourced answers, along with a “deep search” mode<\/b>. Its strong market presence is evident in its rising valuation: from $9B in 2024 to discussions about $14-18B in 2025, per Reuters. It’s favored for in-depth synthesis<\/b> and intensive monitoring tasks<\/b> where source traceability is crucial.<\/p>\n\n\n\n

Conversely, ChatGPT’s Search mode offers up-to-date responses with in-interface sources<\/b>. No tool switching is necessary, which is advantageous if your setup is centered around ChatGPT. This provides integrated search and seamless continuation with your conversations.<\/p>\n\n\n\n

Genspark’s approach differs slightly, presenting itself as an all-encompassing workspace<\/b> and guaranteeing results in the form of deliverables or actions from each prompt. This method is ideal for quickly generating usable outcomes like a deck, brief, reservation, or follow-up.<\/p>\n\n\n\n

Presently, it\u2019s reasonable to state that Perplexity is the superior choice for analysis with comprehensive citations, and Genspark for actions. Meanwhile, ChatGPT Search remains a suitable option for ChatGPT users.<\/p>\n\n\n\n

Conclusion: Genspark, a formidable competitor in the AI agent domain<\/h2>\n\n\n\n

Genspark exemplifies the ongoing transformation in the AI market. Users no longer desire mere answers; they crave actions. Text-based results are now insufficient, and agents must now save time through simple prompts<\/b>.<\/p>\n\n\n\n

To explore and benefit from such tools, consider exploring the applications of applied AI<\/b> (agents, LLM, content creation, MLOps) with Liora’s AI courses. Our programs highlight a hybrid teaching approach: guided learning<\/b> via the Learn platform<\/a> and coaching sessions<\/b> for consistent progress.<\/p>\n\n\n\n

We offer varied courses<\/a> like Data Scientist<\/a> (Python, ML, deep learning, MLOps) and Prompt Engineering & No-Code<\/a> (LLM basics, prompting techniques, ethical framework, and tools). Our practice-focused learning<\/b> (projects, deliverables, and support) enables you to acquire the necessary skills to design, evaluate, and deploy implementations akin to Genspark<\/b> (enhanced search, operational agents, document automations). Available formats include Bootcamp, part-time, or work-study, with funding solutions through CPF and France Travail depending on your situation. Discover Liora!<\/b><\/p>\n\n\n\n\n\n\n\n

You now know all about Genspark<\/b>. For more on this topic, check out our article on Perplexity<\/a> and our extensive article on AI agents<\/a>.<\/p>\n\n\n\n