The Complete Guide to Using AI for Family Genogram Creation
Discover how artificial intelligence is transforming the way therapists and genealogists create family genograms. Learn best practices for AI-assisted generation, from writing effective prompts to understanding AI output.
Dr. Emily Richardson•Clinical Psychologist
12 min read
The advent of AI-powered tools has revolutionized how mental health professionals, genealogists, and researchers create family genograms. What once took hours of careful manual drawing can now be accomplished in minutes through natural language descriptions. This guide explores how to leverage AI effectively while maintaining the professional accuracy that clinical practice demands.
Understanding AI-Powered Genogram Generation
GenogramAI uses Google's Gemini 2.5 Flash model to interpret natural language descriptions of family structures and convert them into accurate genogram representations. The AI understands family relationships, generational levels, and even clinical indicators like medical conditions and emotional bonds.
Three AI Modes
Text-to-Genogram: Describe family in natural language
Image-to-Genogram: Upload hand-drawn sketches or photos
AI Editing: Modify existing genograms with commands
Writing Effective AI Prompts
The quality of AI-generated genograms depends heavily on how you describe the family. Here are key strategies for writing prompts that produce accurate results:
1. Include Birth Years
Birth years help the AI establish generational levels correctly. Use parentheses for clarity: "John Smith (1960)" or "Mary Kim (1965-2020)" for deceased members.
2. Specify Relationships Explicitly
Use clear relationship terms: "married," "divorced," "had children with," "adopted." Avoid ambiguous phrasing that could be misinterpreted.
Example Prompt
"John Smith (1960-2020) was an Irish-American Catholic who married Mary Kim (1965), a Korean Buddhist. They had two children: David (1990), who has diabetes and works as an engineer, and Sarah (1993), a doctor. John's father Tom (1935-1995) died of heart disease. John's mother Ellen (1938) is still alive."
This prompt includes dates, relationships, cultural heritage, religion, medical history, and occupations.
3. Add Clinical Details
For therapeutic genograms, include relevant clinical information: medical conditions, emotional relationship qualities, substance abuse history, and mental health diagnoses. The AI recognizes these terms and maps them to appropriate visual indicators.
4. Describe Complex Structures Clearly
For blended families, adoptions, or non-traditional structures, be explicit about each relationship. Break complex scenarios into clear statements:
"Tom divorced Lisa in 2010"
"Tom remarried Susan in 2015"
"Tom has one son Mike (2005) from his first marriage"
"Tom and Susan have a daughter Emma (2018)"
Using Image-to-Genogram
The vision mode allows you to upload photos of existing genograms, whiteboard sketches, or even hand-drawn diagrams. The AI analyzes the image and recreates the family structure digitally.
Best Practices for Image Upload
• Use clear, high-contrast images
• Ensure standard genogram symbols are used
• Include legible names and dates where possible
• Avoid overly complex or cluttered diagrams
AI Editing Commands
Once you have a genogram, you can modify it using natural language commands. This is particularly useful for:
Adding newly discovered family members
Updating relationship statuses
Adding medical conditions revealed during sessions
Correcting errors in the initial generation
Example Commands
"Add John's brother Mike (1962) who lives in Chicago"
"Mark Sarah as deceased, death year 2023"
"John and Mary are now divorced"
"Add depression to Tom's medical conditions"
Verifying AI Output
While AI dramatically speeds up genogram creation, verification remains essential. Always review:
Relationship accuracy: Ensure all connections are correctly represented
Generational placement: Verify people are on correct generational levels
Medical indicators: Confirm color-coding matches intended conditions
Missing data: Check if any mentioned family members are absent
Clinical Considerations
When using AI-generated genograms in clinical settings, remember:
Clinical Best Practices
• AI output is a starting point, not the final product
• Always verify information with the client
• Use the genogram as a conversation tool
• Update as new information emerges in sessions
• Respect client privacy when describing families to AI
Conclusion
AI-powered genogram creation represents a significant advancement for mental health professionals and genealogists alike. By mastering prompt writing, understanding the AI's capabilities and limitations, and maintaining professional verification standards, practitioners can leverage this technology to enhance their work while ensuring accuracy.
The key is viewing AI as a powerful assistant rather than a replacement for clinical judgment. When used thoughtfully, it enables professionals to spend less time on technical drawing and more time on the meaningful work of understanding family dynamics.