How agent-ready are the leading franchising brands?

Where the leaders fall short.

Median score per area, across the brands where the area could be measured.

The most common gaps.

1. 1. llms.txt briefing for AI 14 of 14 sites fail this check · Comprehend You have no llms.txt, so every AI forms its own impression of your business from scratch.Fix: Publish /llms.txt: a short markdown file naming the business, what it sells, who it serves, service area, prices if public, and links to the pages that matter. It is the cheapest item on this list.How to fix it
2. 2. WebMCP tools an agent can call 14 of 14 sites fail this check · Act An agent arriving on this page is given no actions at all. It has to read the screen and guess where to click, which is slow and frequently wrong.Fix: Register WebMCP tools for the two or three things a customer actually comes here to do: check availability, request a quote, book, add to cart, apply a promotion. Each tool is a name, a short description and a typed input. The browser session already carries the login, so there are no API keys or tokens to issue.How to fix it
3. 3. Machine readable capability manifest 14 of 14 sites fail this check · Act There is no manifest telling an agent what your site is capable of.Fix: Publish /.well-known/mcp.json describing your available tools. It is a small static file and it is how an agent decides you are worth interacting with rather than scraping.How to fix it
4. 4. Rules for agents are written down 14 of 14 sites fail this check · Delegate
5. 5. Products stated as machine readable offers 5 of 5 sites fail this check · Commerce
6. 6. Agentic commerce endpoint (UCP or ACP) 5 of 5 sites fail this check · Commerce
7. 7. Buying path works without running JavaScript 5 of 5 sites fail this check · Commerce
8. 8. Stock and variants exposed 5 of 5 sites fail this check · Commerce
9. 9. Phone and email as real links 13 of 14 sites fail this check · Act
10. 10. Machine readable business facts 12 of 14 sites fail this check · Comprehend

Every score, no names.

Each bar is one of the 23 brands we could scan, highest first. Brands are counted, not named. 2 more could not be scanned at all.

How we chose and measured.

Who: Ranks the largest U.S.-based franchise systems by global systemwide sales. Source: Franchise Times, Franchise Times Top 400 (2026) (2026). Sneeze It clients are left out.

When: each brand's main website was scanned once, October 25, 2026, by AgentReadyBot, which identifies itself on every request, obeys robots.txt and never tries to get past a bot wall. Public pages only. Sites change, so a brand's score today may differ. We rescan every month. The full method is on the methodology page.