LLM monitoring 6

AI visibility platform for improving brand discovery in generated answers Yolando is an AI visibility and marketing platform that helps brands get discovered, cited, and recommended in AI-generated answers from systems such as ChatGPT and Perplexity. It tracks how large language models represent a brand across relevant prompts, measures visibility and citation performance, identifies gaps, monitors competitors, and provides prioritized recommendations for improving AI rankings. Yolando also includes Marketing Studio for creating on-brand content, Competitor Radar for monitoring market activity, and a Knowledge Base that learns a brand’s voice, positioning, customers, content, and industry context. The platform is designed for marketing leaders, content teams, SEO and GEO professionals, demand generation teams, and agencies adapting to AI-driven discovery.

AI search visibility monitoring and GEO optimization platform for brands Answerbit is an AI search visibility monitoring and Generative Engine Optimization (GEO) platform for tracking how brands appear in answers from leading AI platforms, including DeepSeek, Doubao, Yuanbao, Kimi, and Qwen. It automatically collects AI answers daily, measures brand visibility and ranking, analyzes citations and source domains, compares competitors, and helps teams create optimized content to improve brand representation in AI search.

LLM observability and prompt A/B testing platform. Currai is an observability and tracing platform designed for LLM applications. It helps developers move away from basic print statement debugging by tracing every prompt, token, and tool call in a single view. The platform enables monitoring production traffic, calculating costs based on processed bytes, running evaluations, and A/B testing prompt versions live without requiring any local infrastructure to run. It offers drop-in Python and TypeScript SDKs and is byte-compatible with Langfuse and OpenTelemetry, making it easy to integrate or migrate existing projects.

Llog: Collaborative analytics and insights tool for LLM interactions and monitoring. Llog is a collaborative analytics and insights tool designed for LLMs. It logs end-user interactions with a single request and facilitates surfacing, sharing, and deriving insights from those logs with all business stakeholders. It's an end-to-end platform for teams to gain insights into their LLM applications post-production, offering a collaborative workspace for reviewing logs, flagging important items, and assigning tasks within the context of model outputs. Llog provides unlimited seats at any price tier and full visibility into end-user interactions, allowing users to understand what their LLM is actually saying. Insights are available within seconds using a simple API format.

Aguru automates workflows with AI agents, enhancing efficiency and security for AI applications. Aguru Safeguard offers actionable insights into every critical aspect of your LLMs' behavior, performance, and cost-efficiency, enabling reliable, secure and performing AI applications. Aguru's AI-native platform empowers enterprises to automate complex, labor-intensive workflows with intelligent agents, enhancing efficiency and eliminating operational friction.

Cost-effective LLM API and monitoring platform for AI startups. Keywords AI is an LLM API that offers a cost-effective alternative to GPT-4 without compromising on quality. It is also a leading LLM monitoring platform for AI startups, designed to easily monitor and improve LLM applications with just 2 lines of code. It helps debug and ship reliable AI features faster, essentially acting as Datadog for LLM applications.