Contact Us

We're here to help with questions, support, and partnership opportunities

Whether you have questions about our knowledge graph engineering services, need technical support, or are interested in partnership opportunities, we're ready to assist you.

Support Inquiries

For technical support, account assistance, or questions about using our platform:

  • Check our documentation and methodology page for technical details
  • Review our Research & Insights blog for best practices
  • For account-specific issues, please log in to your account dashboard

We aim to respond to support inquiries within 24-48 hours during business days.

Partnership Opportunities

We're interested in partnerships with:

  • Knowledge graph platforms and data providers
  • AI and search technology companies
  • Marketing agencies and consultants
  • Research institutions and academic organizations
  • Technology integrators and platform providers

If you're interested in exploring partnership opportunities, please reach out with details about your organization and how we might collaborate.

General Questions

For general questions about:

  • Our knowledge graph engineering methodology
  • Generative Engine Optimization (GEO) strategies
  • Pricing and subscription plans
  • Case studies and success stories
  • Research and publications

We recommend exploring our methodology, case studies, and research blog for comprehensive information.

Response Time Expectations

We strive to respond to all inquiries promptly:

  • Support inquiries: 24-48 hours during business days
  • Partnership inquiries: 2-5 business days
  • General questions: 1-3 business days

For urgent technical issues affecting your account, please log in to your dashboard for priority support.

Alternative Resources

Before contacting us, you may find answers in our resources:

Legal and Privacy

For questions about our privacy practices or terms of service:

Thank you for your interest in GEMflush. We look forward to helping you improve your AI discoverability through systematic knowledge graph engineering.