Agenxus Team

We publish practitioner guides on AI Search Optimization (AEO/GEO), AI automation, and technical SEO. Content is researched, reviewed, and refreshed on a regular cadence by our team of AI automation specialists.

Expertise & Focus

AI Search Optimization

  • Answer Engine Optimization (AEO/GEO)
  • Entity-based SEO and knowledge graphs
  • Structured data implementation
  • AI-first content optimization

AI Automation

  • AI voice agents and chatbots
  • Workflow automation platforms
  • Customer service automation
  • Lead qualification systems

Editorial Standards & Policy

Research & Accuracy

  • Primary sources: We prioritize original research, official documentation, and direct testing of tools and platforms
  • Fact-checking: All technical claims are verified through testing or cited from authoritative sources
  • Updates: Content is reviewed quarterly and updated when industry changes occur
  • Corrections: Errors are corrected promptly with transparent revision notes

Content Standards

  • Practitioner-focused: Content is written for professionals implementing AI solutions
  • Actionable insights: Every article includes specific, implementable recommendations
  • Technical accuracy: Code examples and configurations are tested before publication
  • Industry context: Content reflects current market conditions and platform changes

Editorial Process

  • Research phase: Comprehensive analysis of topic, competitive landscape, and current best practices
  • Draft review: Content reviewed for technical accuracy, clarity, and completeness
  • Testing validation: All recommendations tested in real-world scenarios when applicable
  • Final edit: Copy editing for clarity, consistency, and accessibility
  • Publication review: Final quality check before publishing

Transparency & Ethics

  • No undisclosed partnerships: All business relationships are clearly disclosed
  • Honest assessments: We provide balanced evaluations, including limitations and challenges
  • Clear methodology: Testing procedures and evaluation criteria are explained
  • User-first approach: Recommendations prioritize reader success over business interests

Source Attribution

  • Proper citations: All external sources, data, and research are properly credited
  • Link integrity: External links are verified and updated regularly
  • Attribution standards: Images, data visualizations, and quotes include proper attribution
  • Fair use compliance: All content usage follows fair use guidelines and copyright law

Content Categories

Technical Guides

Step-by-step implementation tutorials with code examples, best practices, and troubleshooting guidance.

Industry Analysis

Market research, trend analysis, and strategic insights for AI automation adoption.

Case Studies

Real-world implementations, results analysis, and lessons learned from client projects.

Tool Reviews

Comprehensive evaluations of AI platforms, automation tools, and integration solutions.

Contact & Feedback

Editorial inquiries: editorial@agenxus.com

General contact: info@agenxus.com

Corrections & updates: We welcome feedback on technical accuracy and appreciate notification of outdated information.