- Visibility21
- Citations0
- Sentiment62
- Site quality60
- AI readiness7
AI assistants name Yum! Brands in 21.7% of answers, which is typical for companies in the travel sector. Its overall score is 29 out of 100, ranking 1,293rd of 2,047 companies in the study. The company’s website passes 1 of 14 technical checks for how ready it is for AI tools.
We asked 15 unbranded questions about the travel market: none named Yum! Brands. AI assistants named it in 13 of 60 answers (21.7%). The typical travel company is named in 21.7% of answers. By how often it is named, Yum! Brands ranks 36 of 75 in its sector.
Every dot is a company in the study. Hover one to see it; click to open its report.
This companySame sectorEvery other companyNever named
Five parts, each scored out of 100.
How often AI assistants name the company
How often AI uses the company's own website as a source
How positively AI describes the company
How well built the website's own pages are
How easily AI tools can read and use the website
Visibility is calculated from the answers on this page. How the score is built.
75 companies in this sector. The line on each bar is the typical company.
An answer that names the company
“What are the best quick-service restaurant holding companies for new franchise investors in the U.S.?”
For new franchise investors in the U.S., the strongest quick-service restaurant holding companies are usually the large multi-brand operators with proven scale, multiple concepts, and active acquisition/expansion histories. Based on the rankings and ownership data in your results, the most relevant names are Flynn Group, Sun Holdings, and Roark Capital’s restaurant platform (especially Inspire Brands and related brands).
The most important distinction is that some “holding companies” are franchise operators that own and run many units, while others are brand-par …
The AI’s answer as we received it, shortened and not checked for accuracy.
How the mentions in these answers were split between this company and its rivals
Answers naming it, out of answers received
What this website publishes for an AI agent to read, use and buy from, on a scale of six levels.
- 0
- 1
- 2
- 3
- 4
- 5
Level 0: Not yet agent-ready. Agents struggle to find basic information about the site.
- 2 of robots.txt, Sitemap, Link headers
Show every check, for your technical teamHide the checks
- study: 92.0%robots.txtNot met
Publish a valid robots.txt with crawl rules and a Sitemap line.
- study: 86.8%SitemapNot met
Serve an XML sitemap and reference it from robots.txt.
- study: 0.3%Link headersNot met
Send Link headers such as rel="api-catalog" or rel="describedby" on the homepage.
- study: 5.5%DNS for AI DiscoveryNot present
Advertise agent endpoints with SVCB records under _agents.
- study: 1.9%Markdown negotiationNot met
Return a markdown version when asked with Accept: text/markdown, for example at the CDN.
- study: 25.1%llms.txtNot met
Publish an llms.txt with a short summary and the key links.
- study: 93.4%AI bot rulesNot met
Add explicit robots.txt groups for the main AI crawlers.
- study: 1.4%Content SignalsNot met
Add a Content-Signal line for search, ai-input and ai-train to robots.txt.
- study: 0.2%Web Bot AuthNot present
Only relevant if you run your own agents or crawlers: publish a signing key directory.
- study: 0.3%API CatalogNot met
List public APIs in a linkset at /.well-known/api-catalog.
- study: 11.8%OAuth discoveryNot met
Publish OpenID Connect or OAuth server metadata under /.well-known.
- study: 10.3%OAuth Protected ResourceNot met
Serve protected resource metadata at /.well-known/oauth-protected-resource.
- study: 0.0%auth.mdNot met
Publish an auth.md describing how agents sign in.
- study: 0.2%MCP Server CardNot met
Offer an MCP server and publish its server card under /.well-known.
- study: 0.1%A2A Agent CardNot met
Publish an agent card at /.well-known/agent-card.json.
- study: 0.2%Agent SkillsNot met
Publish a skills index with the main tasks agents can do.
- study: 33.7%WebMCPCould not check
Register key actions such as search or cart as WebMCP tools.
- study: 0.1%ARD manifestNot met
Publish an ai-catalog.json listing every agent interface.
Score 0 of 100 · 97% of checks could run · checked on October 4, 2026 · www.yum.com · 2,047 companies scanned
1 of 14 passed. This list is for your technical team. The percentage is how many companies in the study pass each check.
These 14 checks ran during the audit and are what the AI readiness part of the overall score counts. The scan above ran later and is stricter on Link headers and Markdown, so a check can pass here and not there.
Show the 14 checksHide them
- Not metrobots.txt publishedstudy: 85.0%
- Not metXML sitemapstudy: 73.2%
- Not metHTTP Link headers (RFC 8288)study: 29.0%
- Not metMarkdown content negotiationstudy: 8.3%
- Not metllms.txt publishedstudy: 21.7%
- PassedToken budget (page weight)study: 95.2%
- Not metExplicit AI bot rulesstudy: 13.0%
- Not metAPI Catalog (.well-known/api-catalog)study: 0.2%
- Not metOAuth Authorization Server discoverystudy: 10.1%
- Not metOAuth Protected Resource discoverystudy: 9.3%
- Not metMCP Server Cardstudy: 0.0%
- Not metA2A Agent Cardstudy: 0.0%
- Not metWebMCP toolsstudy: 4.2%
- Not metAgent Skills declaredstudy: 0.0%
How many times each website was listed as a source in these answers
In the study as S&P 500.
- What are the best quick-service restaurant holding companies for new franchise investors in the U.S.?
- Common challenges for first-time franchisees under large quick-service holding companies
- How can foodservice professionals benefit from joining a franchise-focused restaurant conglomerate?
- What is the average initial investment for joining a quick-service restaurant franchise group in the U.S.?
- Top-rated quick-service restaurant groups with global presence
- Options for independent operators rather than joining a major quick-service restaurant group
- Alternatives to traditional quick-service restaurant holding companies for franchise investors
- How does owning multiple quick-service restaurant brands compare to focusing on a single concept?
- What should I consider before buying into a restaurant group that partners with franchise operators?
- Is investing in a quick-service restaurant holding company worth it for long-term growth?
- How do royalties and ongoing fees for franchisees differ between large restaurant holding companies?
- Best use-cases for partnering with a multinational quick-service restaurant holding group
- Which quick-service restaurant conglomerates have the largest footprint in the United States?
- How to resolve disputes between franchisees and restaurant group parent companies
- Pros and cons of franchise-heavy restaurant holding companies versus company-owned operations
Columns, left to right: OpenAI, Claude, Perplexity, Gemini. The AI assistants often disagree. Across the study, on 40% of the questions where a company is named, only one of the four names it.
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<a href="https://aeo-audit.rezolve.com/us/yum.com"><img src="https://aeo-audit.rezolve.com/us/badges/yum.com.svg" alt="Overall score 29 of 100, US AI Visibility Study 2026" width="280" height="64"></a>