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Emcor

emcorgroup.com · Industrial · EME

Ranked 1,165 of 2,047 companies in the study

31Overall score
  • Visibility8
  • Citations0
  • Sentiment50
  • Site quality93
  • AI readiness29
What this means for Emcor

AI assistants rarely name Emcor when answering questions about its market, mentioning the company in 2 out of 60 answers, sometimes alongside Johnson Controls. Emcor's overall score is 31 out of 100, ranking 1,165th of 2,047, close to the typical company in its sector. Its website passes 4 out of 14 technical checks for readiness with AI tools.

We asked 15 unbranded questions about the industrial market: none named Emcor. AI assistants named it in 2 of 60 answers (3.3%). The typical industrial company is named in 5.0% of answers. By how often it is named, Emcor ranks 138 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
3.3%
2 of 60 answers
Share of mentions
15.4%
compared with 5 rivals
AI readiness
4/14
technical checks passed. Typical for its sector: 3
Rank in its sector
123 of 246
by overall score, where the typical industrial company scores 31
How Emcor 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
8

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
93

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 score31
Ranks 123 of 246. Typical company: 31
Named in answers3%
Ranks 138 of 246. Typical company: 5%
AI readiness29
Ranks 34 of 246. Typical company: 21
What Claude actually said

An answer that names the company

“What are the best mechanical and electrical construction providers for hospitals in the US?”

I'll search for information about the top mechanical and electrical construction providers for hospitals in the US.Based on the search results, here are some of the best mechanical and electrical construction providers for hospitals in the US:

Major National Providers

EMCOR Group - A Fortune 500 specialty contractor that provides services in mechanical and electrical construction, building services, and industrial maintenance. Its electrical subsidiaries include Dynalectric, Forest Electric, and Meadowlands Electric, which provide power distribution, lighting, and life-safety systems …

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

Also named
Johnson Controls2
Share of mentions

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

ABM Industries
37.5%
Johnson Controls
37.5%
Emcor
25.0%
Siemens Smart Infrastructure (USA)
0.0%
Comfort Systems USA
0.0%
Honeywell Building Solutions
0.0%
Which AI assistants named the company

Answers naming it, out of answers received

Claude
1/15
Gemini
1/15
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 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
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
50 of 100
  • Markdown negotiationNot met

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

    study: 1.9%
  • llms.txtPassed

    An llms.txt that tells language models what the site offers.

    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 36 of 100 · 97% of checks could run · checked on October 5, 2026 · emcorgroup.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%
  • Passedllms.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
  • GPTBotpartly
  • ClaudeBotpartly
  • Anthropic-AIpartly
  • Google-Extendedpartly
  • Applebot-Extendedpartly
  • Meta-ExternalAgentpartly
  • FacebookBotpartly
  • Bytespiderpartly
  • CCBotpartly
  • Diffbotpartly
  • Omgilibotpartly
AI search
  • OAI-SearchBotpartly
  • Claude-SearchBotpartly
  • PerplexityBotpartly
  • Applebotpartly
  • Amazonbotpartly
  • YouBotpartly
Answering questions
  • ChatGPT-Userpartly
  • Claude-Userpartly
  • Perplexity-Userpartly
  • DuckAssistBotpartly
  • MistralAI-Userpartly

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

oxmaint.com
12
enr.com
9
linkedin.com
7
theglobeandmail.com
7
jll.com
6
terrapincg.com
5
justdial.com
5
servicechannel.com
5
mrisoftware.com
5
enfrasolutions.com
5

In the study as S&P 500.

Every question, and where the company came up (2 of 15)
QuestionOpenAIClaudePerplexityGemini
  • How much should an organization budget for comprehensive facilities maintenance annually?
  • Average cost for mechanical and electrical construction projects per square foot in the US
  • Alternatives to traditional building maintenance for improving energy efficiency
  • What are the best mechanical and electrical construction providers for hospitals in the US?
  • What are the options besides on-site facility services for commercial buildings?
  • Are full-service mechanical and electrical contractors worth the investment for educational institutions?
  • How to address frequent lighting failures in large office buildings
  • Examples of sustainability services improving environmental performance in schools
  • Top facilities services companies for sustainability and green building solutions
  • Is outsourcing facilities management more cost-effective for government agencies than building an internal team?
  • Common problems with commercial HVAC systems and how to fix them
  • How can energy infrastructure solutions help reduce utility costs in hospitals?
  • Mechanical vs electrical construction: what’s the difference for commercial buildings?
  • Best practices for selecting a sustainability consultant for a large organization
  • Facilities management vs energy infrastructure services: which is better for cost savings?
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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