FDD Data In Claude

Research, compare, and model franchise disclosure data directly inside your Claude workspace.

FDD Data, Directly In Your Claude Workspace

Claude, Chat, Gemini, and other AI platforms are not trained on and do not have all specific FDD data. You can (and should) upload any FDD you receive from a brand for your research.

Franchise Signal goes three steps further - we offer you the option to use *multiple* brand FDDs (to compare differences). We structure individual brand data for specific item retreieval. And we provide multiple years worth of the same FDD - so you can see how a given franchise system has changed over time.

Franchise Signal lets you select the franchise brand years you want access to, connect Claude, and query structured FDD data through MCP tools.

Ask Claude to compare years, deep dive into specific FDD items, explain disclosure changes, pull operating inputs, or build a pro-forma from the underlying franchise data.

This is built for franchise searchers, attorneys, lenders, franchisees, analysts, and advisory teams who want more than a static PDF.

Select brand-years. Add AI credits. Query away in Claude.

Ask Claude Franchise Questions Like:
'Claude, show me year-over-year revenue trends for [Brand X]'
'Claude, summarize the investment range, fees, and royatly structure for [Brand X] and how it changed from 2024 to 2025.'
'Pull the fees, investment ranges, and financial performance representations into a five year pro-forma'
'Compare the ltigation matters, financial disclosures, and outlet growth and churn data between brands [X], [Y], and [Z]'
Franchise Signal brings structured FDD-backed data into Claude so your research can move from static reading to active analysis.
Research Franchise Systems In Claude
Ask questions across selected franchise brands and FDD years directly in your Claude workspace.
Run Deep FDD Diligence
Drill into specific FDD items, compare years, and track changes across fees, outlets, Item 19, Item 20, agreements, and more.
Build Pro-Forma Models
Pull structured FDD inputs into Claude and use them to build interactive assumptions, scenarios, and operating models.
Use AI Credits As You Query
Select the brand years you need, buy AI credits, and query the underlying disclosure data through Franchise Signal MCP tools.

Turn Franchise PDFs Into A Claude-Native Research Workflow

FDDs are dense, repetitive, and hard to compare by hand. Franchise Signal turns selected brand-year data into a queryable workflow inside Claude.

You still control the analysis. Claude gets the structured FDD context it needs to help you research faster, compare more clearly, and build useful diligence outputs.

Research And Compare Franchise Data Directly In Claude

Select from available franchise brands and FDD years, then ask Claude natural research questions backed by Franchise Signal data.

Search across selected franchise systems.
Compare brands within a category or sector.
Ask Claude to explain fees, outlets, Item 19, Item 20, litigation, risk factors, and more.
Research
Compare franchise systems, pull disclosure context, and move quickly from question to diligence output.
Franchise Signal analytics example for Claude franchise research
Add multiple brands and years worth of data for quick comparison.
For Diligence
Quickly synthesize and visualize key projections from an FDD
Franchise Signal YoY FDD analysis for Claude diligence
Use Claude to build visuals from key FDD information.

Deep Dive On Any FDD Item

Ask Claude to review a single item, compare multiple years, find key changes, or explain how a disclosure trend has moved over time.

Review Item 7 investment ranges and fee movement.
Analyze Item 19 structure, footnotes, and reporting changes.
Track Item 20 outlet growth, closures, transfers, and system trends.

Use FDD Data To Build Better Pro-Forma Models

Once Claude can access the selected FDD data, you can ask it to pull investment ranges, fees, revenue disclosures, outlet counts, and assumptions into a working model.

Pull structured FDD inputs into one place.
Create scenario assumptions from disclosed costs and operating data.
Use Claude to help build, explain, and iterate on pro-forma logic.
Pro-Forma
Ask Claude to turn FDD inputs into working assumptions and model structure.
Franchise Signal Items 5, 6, 7, 19 data example for Claude pro-forma workflows
This does not replace diligence, legal review, or financial advice. It gives you a stronger data workflow for analysis.

Built For Interactive Franchise Research

Franchise Signal brings FDD-backed intelligence into Claude for searchers, attorneys, lenders, franchisees, investors, and advisory teams.

Set Up Claude Access
For Searchers
Compare brands, validate assumptions, and move beyond generic franchise research.
For Franchisees
Understand the system before committing capital, signing agreements, or expanding units.
For Attorneys
Support FDD review with item-level search, year-over-year comparison, and structured disclosure context.
For Lenders
Review franchise systems with outlet trends, Item 19 context, and disclosure-backed diligence inputs.
Franchise Signal supports franchise research and disclosure analysis workflows. It does not provide legal, financial, or investment advice.