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Enterprise Products

enterpriseproducts.com · Energy · EPD

Ranked 1,548 of 2,047 companies in the study

27Overall score
  • Visibility4
  • Citations0
  • Sentiment50
  • Site quality87
  • AI readiness7
What this means for Enterprise Products

AI assistants rarely name Enterprise Products: they mention the company in 1 of 60 answers, sometimes alongside Kinder Morgan, Energy Transfer, and Plains All American Pipeline. Its overall score is 27 out of 100, ranking 1,548th of 2,047. The website passes 1 of 14 technical checks for readiness with AI tools.

We asked 15 unbranded questions about the energy market: none named Enterprise Products. AI assistants named it in 1 of 60 answers (1.7%). The typical energy company is named in 3.3% of answers. By how often it is named, Enterprise Products ranks 62 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
1.7%
1 of 60 answers
Share of mentions
8.3%
compared with 5 rivals
AI readiness
1/14
technical checks passed. Typical for its sector: 3
Rank in its sector
70 of 109
by overall score, where the typical energy company scores 29
How Enterprise Products 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
4

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
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 score27
Ranks 70 of 109. Typical company: 29
Named in answers2%
Ranks 62 of 109. Typical company: 3%
AI readiness7
Ranks 99 of 109. Typical company: 21
What Claude actually said

An answer that names the company

“Differences between integrated midstream infrastructure and standalone storage facilities”

I'll search for information about the differences between these two types of midstream infrastructure.Let me search for more specific information comparing the operational and economic characteristics of these two facility types.Based on the research, here are the key differences between integrated midstream infrastructure and standalone storage facilities:

Structural Organization

Integrated pipeline companies operate with storage/terminal networks, while independent terminal operators and hub service providers represent standalone facilities. Integrated midstream players like Energy Tran …

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

Also named
Kinder Morgan1Energy Transfer1Plains All American Pipeline1
Share of mentions

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

Kinder Morgan
28.6%
Energy Transfer
28.6%
Plains All American Pipeline
28.6%
Enterprise Products
14.3%
Williams Companies
0.0%
ONEOK
0.0%
Which AI assistants named the company

Answers naming it, out of answers received

Claude
1/15
Gemini
0/15
OpenAI
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 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
Show every check, for your technical team
Discoverability
0 of 100
  • robots.txtNot met

    Publish a valid robots.txt with crawl rules and a Sitemap line.

    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
0 of 100
  • AI bot rulesNot 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%
  • 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 0 of 100 · 97% of checks could run · checked on October 5, 2026 · enterpriseproducts.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

umbrex.com
17
energy.gov
17
eia.gov
12
aga.org
11
phmsa.dot.gov
8
sec.gov
8
congress.gov
7
guides.loc.gov
6
afpm.org
6
mordorintelligence.com
5

In the study as US-listed.

Every question, and where the company came up (1 of 15)
QuestionOpenAIClaudePerplexityGemini
  • Differences between integrated midstream infrastructure and standalone storage facilities
  • Typical fee structures for long-term vs spot contracts in midstream storage
  • Is it worth investing in dedicated natural gas storage solutions for large energy producers?
  • Best options for transporting natural gas across the United States safely
  • What are some non-pipeline methods for storing large quantities of natural gas?
  • Role of gas processing and fractionation in optimizing energy infrastructure supply chains
  • How midstream services support efficient movement of refined products to end markets
  • Common challenges when scheduling pipeline transportation for oil and gas
  • What factors affect pricing for midstream oil and gas transportation services in the US?
  • How valuable is an extensive pipeline network for refiners sourcing crude feedstock?
  • How do energy producers choose the best midstream partner for integrated transportation and storage?
  • Alternatives to pipeline transportation for moving crude oil within the United States
  • How do midstream pipeline networks compare to rail for oil and gas transportation?
  • What are the key services offered by leading midstream oil and gas infrastructure providers?
  • How to address delays in liquid petroleum storage and delivery services
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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