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Mueller Industries

muellerindustries.com · Industrial · MLI

Ranked 1,747 of 2,047 companies in the study

26Overall score
  • Visibility0
  • Citations0
  • Sentiment50
  • Site quality80
  • AI readiness29
What this means for Mueller Industries

AI assistants do not name Mueller Industries in any of their 60 answers, while the typical company in its sector is named in 5% of answers. Its overall score is 26 out of 100, ranking 1,747th of 2,047 companies. The website passes 4 out of 14 technical checks for AI tool readiness.

We asked 15 unbranded questions about the industrial market: none named Mueller Industries. AI assistants named it in none of 60 answers. The typical industrial company is named in 5.0% of answers. By how often it is named, Mueller Industries ranks 191 of 246 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
4/14
technical checks passed. Typical for its sector: 3
Rank in its sector
190 of 246
by overall score, where the typical industrial company scores 31
How Mueller Industries 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
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 industrial

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

Overall score26
Ranks 190 of 246. Typical company: 31
Named in answers0%
Ranks 191 of 246. Typical company: 5%
AI readiness29
Ranks 34 of 246. Typical company: 21
What Gemini actually said

The company is not named in this answer

“Which industrial fittings are most reliable for high-pressure refrigeration applications?”

For high-pressure refrigeration applications, the reliability of industrial fittings is paramount for safety and efficiency. Several types of fittings and materials are considered highly reliable:

1. Press Fittings

RLS (Rapid Locking System) Press Fittings: These are specifically designed for high-pressure HVAC and refrigeration applications, offering a flame-free, press-to-connect alternative to brazing. They are UL207 listed for pressures up to 700 PSI and are noted for fast, safe, and consistent installations. RLS fittings are made from refrigerant-grade copper and engineere …

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

Named instead
NIBCO1
Share of mentions

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

NIBCO
50.0%
Nibco
50.0%
Mueller Industries
0.0%
Viega LLC
0.0%
Wieland
0.0%
Charlotte Pipe and Foundry
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
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%
  • 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 5, 2026 · www.muellerindustries.com · 2,047 companies scanned

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

The checks behind the AI readiness score

4 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
  • PassedExplicit 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 rules for 20 AI crawlers by name. All others follow its general rules.

Training AI
  • GPTBot*blocked
  • ClaudeBot*blocked
  • Anthropic-AI*blocked
  • Google-Extended*blocked
  • Applebot-Extended*blocked
  • Meta-ExternalAgent*partly
  • FacebookBot*blocked
  • Bytespider*blocked
  • CCBot*blocked
  • Diffbot*blocked
  • Omgilibot*blocked
AI search
  • OAI-SearchBot*blocked
  • Claude-SearchBot*blocked
  • PerplexityBot*blocked
  • Applebot*blocked
  • Amazonbot*blocked
  • YouBot*blocked
Answering questions
  • ChatGPT-Userpartly
  • Claude-Userpartly
  • Perplexity-User*blocked
  • DuckAssistBot*blocked
  • MistralAI-User*blocked

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

asteriacopper.com
15
justdial.com
13
tradeindia.com
13
copperpipe.net
10
blog.brennaninc.com
7
alibaba.com
7
linkedin.com
6
en.wikipedia.org
6
eureka.patsnap.com
6
hvaclaboratory.com
5

In the study as US-listed.

Every question, and where the company came up (0 of 15)
QuestionOpenAIClaudePerplexityGemini
  • Is it worth investing in premium copper alloy valves for long-term HVAC system performance?
  • Which materials can replace brass fittings in high-temperature industrial applications?
  • What factors influence the price of steel vs aluminum industrial tubing?
  • Common reasons for leaks in commercial refrigeration tubing systems?
  • How do push-fit fittings compare to soldered fittings for speed and durability in industrial settings?
  • Copper vs aluminum tubing: which is better for large-scale plumbing projects?
  • What are alternatives to copper piping for commercial HVAC installations?
  • What are the best types of copper tubing for commercial HVAC installations?
  • Are industrial grade brass fittings worth the extra cost over standard options?
  • How much do copper alloy industrial valves typically cost in the US market?
  • Which industrial fittings are most reliable for high-pressure refrigeration applications?
  • Steel valves vs plastic valves for chemical processing — what are the pros and cons?
  • How can you identify and fix corrosion in copper piping used for HVAC?
  • What type of tubing is best suited for transporting potable water in large buildings?
  • Recommended fittings for connecting different metals in industrial plumbing?
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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