Live MCP Demo
See Franchise Signal FDD Data Inside Your AI Workflow
Book a demo to see how Franchise Signal makes franchise FDD data usable inside MCP-powered workflows. Ask questions, compare filing years, pull Item-level details, generate diligence summaries, and use structured data for pro-forma modeling.
What We Can Show Live
- Query purchased brand-years through MCP using grounded FDD data
- Compare multiple FDD years and surface year-over-year disclosure changes
- Pull Item 7, Item 19, Item 20, litigation, fees, and other FDD sections into a research workflow
- Use AI workflows for diligence memos, franchise comparison, pro-forma modeling, and scenario analysis
- Combine Franchise Signal data with other AI capabilities such as files, plugins, skills, spreadsheets, and custom prompts
- Review whether self-serve brand-year access or enterprise setup makes sense for your use case
1. Review Your Workflow
Tell us whether you are evaluating brands, advising clients, underwriting deals, comparing systems, or building an internal diligence process.
2. Show The MCP Workflow
See how purchased FDD brand-years can be queried through MCP for structured, source-grounded franchise research.
3. Model Practical Outputs
Walk through examples like diligence memos, brand comparisons, Item 19 review, Item 20 trend checks, and pro-forma support.
The Big Shift
AI can already write, calculate, model, summarize, and reason across files. Franchise Signal adds structured FDD data to that workflow, so your AI work can start from franchise-specific disclosures instead of generic internet context.
Important Scope
Franchise Signal supports research and diligence workflows. It does not provide legal, financial, tax, or investment advice. Always verify details in the current FDD and consult qualified professionals for decision-making.
Looking to understand pricing first? View Plans & Pricing or Explore Use Cases.