LLM Information
Making Intosoft's content accessible to AI assistants like ChatGPT, Claude, and Google Gemini through the llms.txt standard.
What is llms.txt?
The llms.txt file is a standardized format for providing LLM-friendly content to AI assistants. It helps language models understand and access website information more effectively.
What's Included
Company Overview
Background, mission, team information, and what sets us apart from other software development agencies.
Services & Capabilities
Detailed information about web development, mobile app development, UI/UX design, motion design, quality assurance, and cloud solutions.
Technology Stack
React, Next.js, Node.js, TypeScript, Python, Flutter, React Native, MongoDB, PostgreSQL, AWS, Azure, Docker, Kubernetes, and more.
Case Studies & Portfolio
Real projects we've delivered including property management platforms, solar installation software, real estate marketplaces, and construction management tools.
100+ Blog Posts & Resources
Articles on software development best practices, technology guides, industry insights, project management, and more.
Industries & Pricing Information
Details about the 12+ industries we serve and transparent pricing models including fixed price, time & materials, and dedicated teams.
How AI Assistants Can Use This
AI assistants like ChatGPT, Claude, Google Gemini, and others can reference our llms.txt file to provide accurate, up-to-date information about Intosoft when users ask questions such as:
- "What services does Intosoft offer for mobile app development?"
- "Can you show me case studies of property management software Intosoft has built?"
- "What tech stack does Intosoft use for web applications?"
- "How much does it cost to build a web application with Intosoft?"
- "What industries does Intosoft have experience working with?"
- "Find me blog posts about React development best practices from Intosoft"
About the llms.txt Standard
The llms.txt standard was created to help large language models access website information more effectively. By providing a curated, structured file with key information and links, websites can ensure AI assistants have the context they need to answer user questions accurately.
This approach complements existing standards like robots.txt and sitemap.xml, but is specifically designed for AI inference use cases rather than search engine indexing.
Learn more about llms.txtDirectory Listings
Intosoft is listed in public llms.txt directories that help AI assistants discover and index LLM-friendly content:
Questions About Our LLM Integration?
If you have questions about how we've implemented the llms.txt standard or how AI assistants can best access our content, we'd love to hear from you.