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Dine Brands Global

dinebrands.com · Travel · DIN

Ranked 1,171 of 2,047 companies in the study

31Overall score
  • Visibility5
  • Citations15
  • Sentiment50
  • Site quality80
  • AI readiness29
What this means for Dine Brands Global

AI assistants rarely name Dine Brands Global, mentioning the company in 1 of 60 answers. Its overall score is 31 out of 100, ranking 1,171st of 2,047 companies. The website passes 3 of 14 technical checks for readiness with AI tools.

We asked 15 unbranded questions about the travel market: none named Dine Brands Global. AI assistants named it in 1 of 60 answers (1.7%). The typical travel company is named in 21.7% of answers. By how often it is named, Dine Brands Global ranks 59 of 75 in its sector.

Named fewer than three times in total. Read this as a sign that AI assistants rarely bring this company up, not as an exact comparison with its rivals.

Named by AI in
1.7%
1 of 60 answers
Share of mentions
11.1%
compared with 5 rivals
AI readiness
3/14
technical checks passed. Typical for its sector: 3
Rank in its sector
54 of 75
by overall score, where the typical travel company scores 37
How Dine Brands Global compares with all 2,047 companies

Every dot is a company in the study. Hover one to see it; click to open its report.

This companySame sectorEvery other companyNever named

What makes up the score

Five parts, each scored out of 100.

Visibility
5

How often AI assistants name the company

Citations
15

How often AI uses the company's own website as a source

Sentiment
50

How positively AI describes the company

Site quality
80

How well built the website's own pages are

AI readiness
29

How easily AI tools can read and use the website

Visibility is calculated from the answers on this page. How the score is built.

Compared with travel

75 companies in this sector. The line on each bar is the typical company.

Overall score31
Ranks 54 of 75. Typical company: 37
Named in answers2%
Ranks 59 of 75. Typical company: 22%
AI readiness29
Ranks 16 of 75. Typical company: 21
What OpenAI actually said

An answer that names the company

“What are the best multi-brand restaurant franchisors for new investors in the United States?”

Short answer — for new investors in the U.S., the multi‑brand restaurant franchisors most often recommended are:

Inspire Brands (Arby’s, Dunkin’, Baskin‑Robbins, Buffalo Wild Wings, Jimmy John’s, SONIC). Pros: very large scale, centralized support and buy‑side cost advantages; many co‑branding/portfolio development options. Consideration: some concepts have higher buildout costs and competition for prime sites. (inspirebrands.com)

GoTo Foods (formerly Focus Brands: Cinnabon, Auntie Anne’s, Carvel, Jamba, McAlister’s, Moe’s, Schlotz …

The AI’s answer as we received it, shortened and not checked for accuracy.

Share of mentions

How the mentions in these answers were split between this company and its rivals

Denny's Corporation
75.0%
Dine Brands Global
25.0%
Darden Restaurants
0.0%
Brinker International
0.0%
Bloomin' Brands
0.0%
The Cheesecake Factory Incorporated
0.0%
Which AI assistants named the company

Answers naming it, out of answers received

OpenAI
1/15
Claude
0/15
Gemini
0/15
Perplexity
0/15
Ready for AI agents

What this website publishes for an AI agent to read, use and buy from, on a scale of six levels.

  1. 0
  2. 1
  3. 2
  4. 3
  5. 4
  6. 5

Level 1: Basic web presence. Two of robots.txt, a sitemap and Link headers are in place.

To reach level 2:
  • Content Signals

The website turns away requests that do not come from a browser. AI agents that say what they are meet the same refusal.

Show every check, for your technical team
Discoverability
77 of 100
  • robots.txtPassed

    A valid robots.txt with crawl rules at the site root.

    study: 92.0%
  • SitemapPassed

    An XML sitemap listing the pages, ideally referenced from robots.txt.

    study: 86.8%
  • Link headersNot met

    Send Link headers such as rel="api-catalog" or rel="describedby" on the homepage.

    study: 0.3%
  • DNS for AI DiscoveryNot present

    Advertise agent endpoints with SVCB records under _agents.

    study: 5.5%
Content accessibility
0 of 100
  • Markdown negotiationNot met

    Return a markdown version when asked with Accept: text/markdown, for example at the CDN.

    study: 1.9%
  • llms.txtNot met

    Publish an llms.txt with a short summary and the key links.

    study: 25.1%
Bot access control
27 of 100
  • AI bot rulesPartly met

    Add explicit robots.txt groups for the main AI crawlers.

    study: 93.4%
  • Content SignalsNot met

    Add a Content-Signal line for search, ai-input and ai-train to robots.txt.

    study: 1.4%
  • Web Bot AuthNot met

    Only relevant if you run your own agents or crawlers: publish a signing key directory.

    study: 0.2%
APIs, auth and MCP
0 of 100
  • API CatalogNot met

    List public APIs in a linkset at /.well-known/api-catalog.

    study: 0.3%
  • OAuth discoveryNot met

    Publish OpenID Connect or OAuth server metadata under /.well-known.

    study: 11.8%
  • OAuth Protected ResourceNot met

    Serve protected resource metadata at /.well-known/oauth-protected-resource.

    study: 10.3%
  • auth.mdNot met

    Publish an auth.md describing how agents sign in.

    study: 0.0%
  • MCP Server CardNot met

    Offer an MCP server and publish its server card under /.well-known.

    study: 0.2%
  • A2A Agent CardNot met

    Publish an agent card at /.well-known/agent-card.json.

    study: 0.1%
  • Agent SkillsNot met

    Publish a skills index with the main tasks agents can do.

    study: 0.2%
  • WebMCPCould not check

    Register key actions such as search or cart as WebMCP tools.

    study: 33.7%
  • ARD manifestNot met

    Publish an ai-catalog.json listing every agent interface.

    study: 0.1%

Score 24 of 100 · 97% of checks could run · checked on October 4, 2026 · www.dinebrands.com · 2,047 companies scanned

See how every company did, and how this was measured.

The checks behind the AI readiness score

3 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 checks
Discoverability
  • Passedrobots.txt publishedstudy: 85.0%
  • PassedXML sitemapstudy: 73.2%
  • Not metHTTP Link headers (RFC 8288)study: 29.0%
Content Accessibility
  • Not metMarkdown content negotiationstudy: 8.3%
  • Not metllms.txt publishedstudy: 21.7%
  • PassedToken budget (page weight)study: 95.2%
Bot Access Control
  • Not metExplicit AI bot rulesstudy: 13.0%
API / Auth / MCP
  • 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%
What AI crawlers may read (robots.txt)

This website sets no rules for any AI crawler by name, like 84% of the websites whose rules we could read. Every AI crawler follows its general rules.

Training AI
  • GPTBotallowed
  • ClaudeBotallowed
  • Anthropic-AIallowed
  • Google-Extendedallowed
  • Applebot-Extendedallowed
  • Meta-ExternalAgentallowed
  • FacebookBotallowed
  • Bytespiderallowed
  • CCBotallowed
  • Diffbotallowed
  • Omgilibotallowed
AI search
  • OAI-SearchBotallowed
  • Claude-SearchBotallowed
  • PerplexityBotallowed
  • Applebotallowed
  • Amazonbotallowed
  • YouBotallowed
Answering questions
  • ChatGPT-Userallowed
  • Claude-Userallowed
  • Perplexity-Userallowed
  • DuckAssistBotallowed
  • MistralAI-Userallowed

Read from the website’s own rules file (robots.txt). An asterisk marks a crawler the file names. The rest follow its general rules. “Partly” means only some pages are blocked.

Websites the AI used as sources

How many times each website was listed as a source in these answers

franchising.com
66
franchise.eatbreadless.com
32
franchise.org
19
malou.io
15
nrn.com
15
entrepreneur.com
14
franchisedirect.com
14
indianretailer.com
13
jackintheboxfranchising.com
12
1851franchise.com
8

In the study as Consumer brands.

Every question, and where the company came up (1 of 15)
QuestionOpenAIClaudePerplexityGemini
  • What are the best multi-brand restaurant franchisors for new investors in the United States?
  • Options for franchisees looking beyond traditional full-service restaurant franchisors?
  • How do full-service restaurant franchises compare to fast-casual restaurant franchises in the US?
  • Multi-brand restaurant franchisor vs single-brand franchise: which is better for growth potential?
  • Most popular full-service restaurant franchise opportunities for first-time owners?
  • Typical franchise fees and royalties for full-service multi-brand restaurant franchisors in the US?
  • Alternatives to investing in a multi-brand full-service restaurant franchise for entrepreneurs interested in the food sector?
  • What are typical marketing strategies offered by full-service restaurant franchise systems?
  • How do you handle supply chain issues as a franchisee in a full-service restaurant system?
  • How much capital do you need to start a full-service multi-brand restaurant franchise in the United States?
  • What kind of support should I expect from a multi-brand restaurant franchisor as a new investor?
  • Common challenges faced by new franchise owners in the multi-brand restaurant sector?
  • Is opening a multi-brand full-service restaurant franchise worth the investment in 2024?
  • What should I know before investing in a full-service restaurant franchise?
  • Best multi-brand franchisors for expanding a restaurant investment portfolio in the US?
named the companyanswered without naming itdid not answer

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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