FRANCHISEDEPTH FDD DATABASE: START HERE Free sample (25 brands). Compiled 2026-11-01. 25 franchise brands. Every figure comes from, or is calculated from, each brand's latest Franchise Disclosure Document (FDD) as filed with a US state. Information only, not financial or legal advice. 1. UNZIP THE FILE Right-click the zip and choose "Extract all" (Windows) or double-click it (Mac). Inside you'll find: - franchisedepth.xlsx Excel workbook: every table as a tab, plus a Compare tab - brand_summary.csv one row per brand with the key figures - franchisedepth.sqlite the full database, for SQL and AI tools - csv/ parquet/ each table as its own file - profiles/ one readable page per brand - profiles_by_industry/ the same pages, grouped by industry - AI_GUIDE.md how to use the data with ChatGPT, Claude, Gemini, Grok and others - AI_INSTRUCTIONS.txt instructions to paste into any AI assistant - AGENTS.md what every column means and how each figure is calculated - example_queries.sql ready-made SQL questions - mcp/ connector for Claude Desktop and other MCP apps - LICENSE.txt what your licence allows Complete database only: alternatives (similar brands), peer_ranks (how each brand ranks against its peers) and value_ratios (revenue relative to investment and royalty). 2. LOOK AT IT IN EXCEL OR GOOGLE SHEETS - Open franchisedepth.xlsx. Each tab is one table; brands is one row per brand. - Compare tab: pick up to five brands from the drop-downs in row 2 (use the brand codes shown in the brands tab, such as "subway"). The figures fill in below. - Google Sheets: File > Import > Upload, and choose brand_summary.csv or franchisedepth.xlsx. 3. ASK AN AI ASSISTANT - Upload brand_summary.csv to ChatGPT, Claude, Gemini, Grok, Copilot or Perplexity. - Paste the text of AI_INSTRUCTIONS.txt as your first message. - Ask your question, for example: "Which food brands under $300,000 to open have the lowest closure rate? Show a table with the FDD year for each." - For a custom GPT, Gem or Project, and for which files to use, see AI_GUIDE.md. 4. CONNECT IT TO CLAUDE DESKTOP (OPTIONAL, LIVE SQL) a. Install uv: https://docs.astral.sh/uv/ b. In Claude Desktop open Settings > Developer > Edit config, and add (with your own folder path): {"mcpServers": {"franchisedepth": {"command": "uv", "args": ["run", "--with", "mcp", "python", "C:/path/to/mcp/franchisedepth_mcp.py", "C:/path/to/franchisedepth.sqlite"]}}} c. Restart Claude Desktop. Ask: "Using franchisedepth, which quick-service brands have the highest comparable revenue?" The connector is read-only. 5. USE SQL (OPTIONAL) - Free app: DB Browser for SQLite (https://sqlitebrowser.org). Open franchisedepth.sqlite. - Run the questions in example_queries.sql, or write your own. Join tables on brand_slug. - SELECT * FROM column_docs; lists what every column means. 6. GOOD TO KNOW - Blank means not disclosed, not zero. - older_fdd = 1 marks brands whose latest FDD on file is from 2022 or earlier. - Rows with an edition_note are not the brand's standard unit-franchise offer. - Revenue is not profit. 7. UPDATES, LICENCE AND HELP - Corrected files for this edition are free: download again from your Gumroad library (gumroad.com/library) to get the latest. - Your licence is shown on your receipt; LICENSE.txt has the terms. - A damaged file or a question: message us through Gumroad.