The Micro Agent Company helps individuals, creators, freelancers, and small businesses turn AI into a working team for content, admin, research, sales, support, and growth.
Select a specialized functional department below to explore their workflows and active agent orchestrations.
Design programmatic outlines, write high-authority blog drafts, automate SEO article creation, and design viral newsletters powered by Gemini's structured generation.
Select an agent from the grid above to activate their console, edit their prompt, and see them execute real-world workflows in real time.
Ready & Active
Securely boot, customize, and run open weights local generative systems such as DeepSeek-R1 or Llama 3.
When AI answers a question, your product should be in the answer.
Analyze how conversational engines crawl and cite your company.
Intro
When businesses ask AI tools like ChatGPT, Claude, or Gemini "What's the best AI CRM for small businesses?" — the answers come from a handful of trusted sources.
We analyzed AI responses across platforms to find the most-cited CRM tools, why they stand out...
Find the exact conversational query lines your target demographic enters into generative chatbots.
Develop reference content optimized for structural indexers to establish your product as the leading cited source.
Synthesize incoming bot index patterns and verify active mentions directly in conversational output channels.
Get clear, technical answers to the most common questions about optimizing for AI agent discovery systems.
Agent Experience (AX) is the modern practice of modeling and optimizing your company's public content, verification reports, and digital indexes. It ensures that conversational LLM agents (ChatGPT, Claude, Gemini, Perplexity) easily retrieve, comprehend, and prioritize citing your brand when users ask recommended questions.
Our engine optimizes across all key conversational architectures including OpenAI's GPT models, Anthropic's Claude, Google's Gemini systems, Perplexity Search, and standard open-source framework models like Llama or Mistral.
Traditional web analytics (like Google Analytics) only track direct user traffic to your links. They cannot see what questions LLMs are answering behind closed doors, nor can they tell you how many times your product was considered but rejected in conversational searches. We uncover this hidden discovery layer.
No, you do not need to make changes to your codebase. All optimization is performed on public indexes, G2 files, community hubs, official docs, and reference articles where AI spiders crawl and build their knowledge base.
AI models crawl the web dynamically and rebuild weights regularly. Typically, once custom optimization strategies and content seeding are implemented, you will see a measurable change in LLM recommendation mentions within 1 to 2 weeks.
Whereas SEO focuses on securing a high link hierarchy on Page 1 of Search result lists, Agent Discovery focuses on semantic relevance. It aims to make your brand the definitive, conversational text recommendation that the AI model answers directly in its synthesis.