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Structured Franchise Research And Diligence
Use structured franchise data to evaluate opportunities, understand system changes, and bring FDD-backed context into AI workflows.
Whether you are comparing franchise opportunities, operating a system, advising clients, or building diligence models, Franchise Signal helps you review brand profiles, disclosure changes, and franchise data in a more usable format.
Bring FDD Data Into Claude
Franchise Signal now connects structured FDD data to MCP workflows. That means your AI tools can work with franchise-specific disclosures instead of generic context.
Once a brand-year is purchased, you can query that FDD data, compare years, pull Item-level details, generate diligence summaries, and support pro-forma modeling inside your existing AI workflow.
- Ask questions across Item 7, Item 19, Item 20, fees, litigation, and other FDD sections
- Compare multiple filing years and identify YoY disclosure changes
- Use AI capabilities like files, plugins, skills, spreadsheets, prompts, and pro-forma workflows with FDD-backed data
- Build diligence memos, brand comparisons, underwriting notes, and scenario models from structured franchise data
For Franchise Diligence
Use Franchise Signal for top-of-funnel franchise research, sourcing and understanding FDDs, and comparing systems with aggregated data. Circle back for diligence and structured review as you talk with advisors, attorneys, and franchisees.
- Research franchise systems and sector trends faster
- Review outlet growth, churn, and disclosure changes in one place
- Augment diligence with YoY delta reporting and analytics to uncover system changes and patterns
For Operators And Investors
Use Franchise Signal to review your brand's external system data, disclosures, and trends. Compare your system with aggregated data across your sector and competitors.
- Screen sectors, brands, and outlet trends faster
- Use YoY delta reports to understand disclosure changes and impacts on your business
- Review aggregated and structured data across brands to map sector trends
For Attorneys
Augment FDD review workflows with structured data, sector analytics, and year-over-year delta reporting.
- Use structured FDD data to accelerate FDD review preparation
- Compare disclosure changes across years and brands with deterministic diffs and track change functionality
- Learn how custom licensing and workflow support can fit your practice
Start With The Right Platform View
Franchise Signal is built around a few core ways of working. Most users start with one of these and then go deeper based on what they find.
Browse individual brands, read FDD-backed summaries, and review key disclosure and outlet data.
Compare outlet growth, churn, and brand behavior across franchise sectors and categories.
Query purchased brand-years inside MCP workflows and use FDD data with AI tools, files, skills, and models.
Review year-over-year disclosure changes to see what moved and where additional follow-up may be needed.
Address Your Specific Needs
Franchise Signal supports different diligence needs across buyers, operators, and advisors. Start with the path that matches your workflow and requirements.
Review Specific Use Cases & Solutions
Start with the use case that best matches your role. You can always come back here and switch paths as your workflow becomes more defined.