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Delek US

delekus.com · Energy · DK

Ranked 1,890 of 2,047 companies in the study

24Overall score
  • Visibility0
  • Citations0
  • Sentiment50
  • Site quality67
  • AI readiness29
What this means for Delek US

AI assistants do not name Delek US in any of the 60 answers, while they often mention companies like Phillips 66, PBF Energy, and HF Sinclair. Its overall score is 24 out of 100, ranking 1,890th of 2,047 companies. The company's website passes 2 of 14 technical checks that measure readiness for AI tools.

We asked 15 unbranded questions about the energy market: none named Delek US. AI assistants named it in none of 60 answers. The typical energy company is named in 3.3% of answers. By how often it is named, Delek US ranks 74 of 109 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
0.0%
0 of 60 answers
Share of mentions
0.0%
compared with 5 rivals
AI readiness
2/14
technical checks passed. Typical for its sector: 3
Rank in its sector
94 of 109
by overall score, where the typical energy company scores 29
How Delek US 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
0

How often AI assistants name the company

Citations
0

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

Sentiment
50

How positively AI describes the company

Site quality
67

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 energy

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

Overall score24
Ranks 94 of 109. Typical company: 29
Named in answers0%
Ranks 74 of 109. Typical company: 3%
AI readiness29
Ranks 21 of 109. Typical company: 21
What Gemini actually said

The company is not named in this answer

“What are the leading petroleum refining companies operating in the United States?”

The leading petroleum refining companies operating in the United States include:

Marathon Petroleum Corporation Marathon Petroleum is the largest refiner in the U.S., with a capacity of 2.95 million barrels per day across 13 refineries. Their Galveston Bay Refinery is the largest in the country, processing approximately 631,000 barrels per day.

Valero Energy Corporation Valero Energy has a refining capacity of over 2.7 million barrels per day with 13 refineries.

ExxonMobil ExxonMobil operates some of the largest refineries in the US, including Baytown, Beaumont, and Ba …

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

Named instead
Phillips 668PBF Energy5HF Sinclair5
Share of mentions

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

Phillips 66
27.6%
Valero Energy Corporation
24.1%
Marathon Petroleum Corporation
17.2%
HF Sinclair
17.2%
PBF Energy
13.8%
Delek US
0.0%
Which AI assistants named the company

Answers naming it, out of answers received

Gemini
0/15
Perplexity
0/15
Claude
0/15
OpenAI
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 0: Not yet agent-ready. Agents struggle to find basic information about the site.

To reach level 1:
  • 2 of robots.txt, Sitemap, Link headers

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
41 of 100
  • robots.txtPassed

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

    study: 92.0%
  • SitemapNot met

    Serve an XML sitemap and reference it 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
32 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 present

    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%
  • WebMCPNot met

    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 16 of 100 · 100% of checks could run · checked on October 4, 2026 · delekus.com · 2,047 companies scanned

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

The checks behind the AI readiness score

2 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%
  • Not metXML 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

eia.gov
27
energy.gov
12
simplywall.st
12
finance.yahoo.com
11
mckinsey.com
10
wri.org
9
en.wikipedia.org
8
bcg.com
7
umbrex.com
7
ftc.gov
6

In the study as US-listed.

Every question, and where the company came up (0 of 15)
QuestionOpenAIClaudePerplexityGemini
  • What are the leading petroleum refining companies operating in the United States?
  • Are midstream logistics operations in the energy sector typically profitable for investors?
  • Best logistics solutions providers in the energy sector for large-scale fuel distribution
  • Common operational challenges faced by US petroleum refineries and how to address them
  • Is investing in US-based petroleum refining companies considered a good long-term strategy?
  • Best energy sources to consider as substitutes for crude oil refining in transportation fuels
  • How do independent refiners compare to integrated energy companies in terms of operational flexibility?
  • How to minimize supply disruptions in energy logistics operations?
  • What role do refinery logistics networks play in efficient fuel distribution across the US?
  • Typical costs associated with setting up logistics operations in the petroleum industry
  • Most innovative trends in petroleum refining technology for US energy companies
  • Petroleum refining vs renewable fuel production—key business differences and growth outlook
  • How are renewable fuels integrated into traditional refinery operations?
  • Alternatives to traditional fuel refining for meeting regulatory lower-emission standards
  • What factors most influence the pricing of refined petroleum products in the US market?
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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