Shosay vs. LLM Agentic Browser
Shosay
Shosay is an AI-powered free tool to collect, manage, and share testimonials, recommendations, and references. SHO what people SAY about you. Key Features - Social Proof Collection: Automate testimonial, recommendation, and reference collection. Use AI to prompt the right questions. - Modern Social Proof: Collect video and audio powered by AI. Not just text. - Social Proof Management: Instantly import all your social proof from over 30 platforms - Wall of Love: Create beautiful widgets to embed in your websites with all your social proof - Smart Curation: Segment relevant social proof to the target audience. AI enhanced analytics to push the right message to your target audience. - Enhanced Sharing: Create images and videos.
LLM Agentic Browser
LLM Browser is a cloud-based, stealth browser platform built specifically for AI agents, enabling them to access and interact with any website—without being blocked by CAPTCHAs, proxies, or advanced anti-bot systems like Cloudflare, DataDome, or PerimeterX. Designed for seamless integration with popular AI frameworks such as LangChain, MCP servers, BrowserUse, CrewAI, and OpenAI CUA, it provides native support for HTTP and CDP modes, including compatibility with Playwright, Puppeteer, Selenium, and more. Unlike traditional automation tools, LLM Browser operates at the core level, using a custom Chromium build with undetectable fingerprinting, automated CAPTCHA solving, and full protection against DNS, WebRTC, and IP leaks. It dynamically generates realistic browser profiles from a pool of over 600,000 combinations, ensuring cross-fingerprint consistency and mimicking real user behavior through human-like mouse movements, scrolling, and typing. Hosted entirely in a secure, GDPR-complian...
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Frequently Asked Questions
Shosay is specifically designed for collecting and managing testimonials, recommendations, and references, making it highly effective for building social proof and trust. In contrast, LLM Agentic Browser is focused on web automation, enabling AI agents to interact with websites without being blocked. Therefore, if your goal is to gather and showcase testimonials, Shosay is the better choice, while LLM Agentic Browser excels in automating web tasks.
While LLM Agentic Browser is primarily designed for web automation and bypassing anti-bot systems, it could theoretically be used to scrape testimonials from websites. However, it lacks the specific features and user-friendly interface that Shosay offers for collecting and managing testimonials effectively. Therefore, for dedicated testimonial collection, Shosay is the more suitable tool.
Shosay is explicitly built to enhance user trust by collecting and showcasing testimonials, which are essential for social proof. LLM Agentic Browser, while powerful for automation, does not focus on trust-building features. Therefore, Shosay is the better option for enhancing user trust through testimonials.
LLM Agentic Browser is not specifically designed for testimonial collection; it is focused on web automation and bypassing security measures. While it could potentially be adapted for such tasks, it would not provide the same ease of use or targeted features as Shosay, which is tailored for collecting and managing testimonials effectively.
Shosay is an AI-powered free tool designed to collect, manage, and share testimonials, recommendations, and references. It allows you to automate and enhance the process of gathering social proof, using AI to prompt the right questions and collect data in various formats such as text, video, and audio.
Shosay offers several key features including social proof collection and management, the ability to import testimonials from over 30 platforms, creation of 'Wall of Love' widgets for websites, smart curation with AI-enhanced analytics, and enhanced sharing options for images and videos.
Shosay helps build trust by consolidating all positive feedback and testimonials in one place, making it easy to display them on your website. This social proof serves as a cornerstone of trust, helping to increase confidence among potential customers or employers.
Shosay can be used in various scenarios such as importing positive feedback from social media platforms, storing video references for job applications, and collecting recommendations for personal projects like baking. These features help users showcase their achievements and build credibility.
The LLM Agentic Browser is a cloud-based stealth browser platform specifically designed for AI agents. It allows these agents to access and interact with any website without being blocked by CAPTCHAs, proxies, or advanced anti-bot systems like Cloudflare, DataDome, or PerimeterX. It integrates seamlessly with popular AI frameworks and provides features such as automated CAPTCHA solving and realistic browser profile generation.
The LLM Agentic Browser offers several key features, including native support for HTTP and CDP modes, compatibility with automation tools like Playwright, Puppeteer, and Selenium, and the ability to dynamically generate realistic browser profiles. It operates using a custom Chromium build that ensures undetectable fingerprinting and full protection against DNS, WebRTC, and IP leaks.
The LLM Agentic Browser is hosted in a secure, GDPR-compliant cloud infrastructure. It manages browser containers and network isolation, which helps maintain user privacy and security. Additionally, it automates lifecycle management, removing the need for users to handle proxies or anti-detection logic.
The LLM Agentic Browser is ideal for projects that require autonomous research agents, real-time RAG pipelines, or task-driven web bots. It provides a scalable and undetectable foundation for agentic automation, helping developers bypass modern web defenses while maintaining performance.
Currently, there are no user-generated pros and cons available for the LLM Agentic Browser. However, its advanced features, such as undetectable fingerprinting and automated CAPTCHA solving, are significant advantages for developers looking to create AI-driven web solutions.
