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Marathon Petroleum

marathonpetroleum.com · Energy · MPC

Ranked 1,742 of 2,047 companies in the study

26Overall score
  • Visibility0
  • Citations1
  • Sentiment50
  • Site quality87
  • AI readiness7
What this means for Marathon Petroleum

AI assistants do not name Marathon Petroleum in any of their 60 answers about the Energy sector. Its overall score is 26 out of 100, ranking 1,742nd of 2,047 companies in the study. The company's website passes 1 of 14 technical checks for readiness for AI tools.

We asked 15 unbranded questions about the energy market: none named Marathon Petroleum. 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, Marathon Petroleum 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
1/14
technical checks passed. Typical for its sector: 3
Rank in its sector
78 of 109
by overall score, where the typical energy company scores 29
How Marathon Petroleum 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
1

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

Sentiment
50

How positively AI describes the company

Site quality
87

How well built the website's own pages are

AI readiness
7

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 score26
Ranks 78 of 109. Typical company: 29
Named in answers0%
Ranks 74 of 109. Typical company: 3%
AI readiness7
Ranks 99 of 109. Typical company: 21
What OpenAI actually said

The company is not named in this answer

“Is investing in U.S.-based petroleum refining operations a good decision for long-term energy security?”

Short answer: maybe — but it depends on which part of the refining value chain you buy, your time horizon, your risk tolerance, and how you price regulatory and energy‑transition risks. Refining remains strategically important for U.S. energy security and can be profitable, but the sector faces structural decline in capacity, regulatory/transition risks, and volatile margins. Below are the key points to help you decide and a practical due‑diligence checklist.

Why refining matters for long‑term energy security

Refineries produce the liquid fuels (gasoline, diesel, jet fuel) and petrochemical …

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

Named instead
Phillips 661
Share of mentions

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

Valero Energy Corporation
33.3%
Phillips 66
33.3%
Chevron Corporation (Downstream)
33.3%
Marathon Petroleum
0.0%
PBF Energy
0.0%
HF Sinclair Corporation
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 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
72 of 100
  • robots.txtPassed

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

    study: 92.0%
  • SitemapPartly 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 23 of 100 · 100% of checks could run · checked on October 4, 2026 · www.marathonpetroleum.com · 2,047 companies scanned

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

The checks behind the AI readiness score

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 checks
Discoverability
  • Not metrobots.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%
Websites the AI used as sources

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

eia.gov
20
sciencedirect.com
12
epa.gov
11
energy.gov
10
umbrex.com
9
opis.com
9
mckinsey.com
7
iea.org
7
ogj.com
6
sec.gov
6

In the study as S&P 500.

Every question, and where the company came up (0 of 15)
QuestionOpenAIClaudePerplexityGemini
  • What are alternative energy sources for organizations looking to reduce dependence on conventional petroleum?
  • How can refineries address sustainability challenges in their operations?
  • What factors influence the price volatility of refined petroleum products in the U.S. market?
  • What are the pros and cons of working with regional vs national petroleum distributors for bulk fuel supply?
  • Best energy solutions for companies adopting digital transformation in the refining sector?
  • What sustainability initiatives should energy buyers look for in a petroleum refining partner?
  • How can digital transformation improve efficiency in petroleum refining?
  • What are common applications of renewable fuels in commercial energy solutions?
  • Is investing in U.S.-based petroleum refining operations a good decision for long-term energy security?
  • Are integrated refining and distribution services worth the premium for large-scale commercial buyers?
  • What should energy buyers do if there are disruptions in petroleum product supply?
  • How do renewable fuels compare to traditional petroleum products in terms of performance and sustainability?
  • How are wholesale petroleum products typically priced for large volume customers in the U.S.?
  • Best options for commercial fleets seeking alternatives to diesel and gasoline?
  • What are the top factors to consider when choosing a petroleum refining partner for large commercial operations?
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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