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CRH

crh.com · Industrial · CRH

Ranked 570 of 2,047 companies in the study

38Overall score
  • Visibility14
  • Citations1
  • Sentiment83
  • Site quality80
  • AI readiness36
What this means for CRH

AI assistants name CRH in 10% of their answers, which is more often than the typical company in its sector at 5%. CRH has an overall score of 38 out of 100 and ranks 570th of 2,047 companies in the study. Its website passes 5 out of 14 technical checks for AI tool readiness.

We asked 15 unbranded questions about the industrial market: none named CRH. AI assistants named it in 6 of 60 answers (10.0%). The typical industrial company is named in 5.0% of answers. By how often it is named, CRH ranks 74 of 246 in its sector.

Named by AI in
10.0%
6 of 60 answers
Share of mentions
20.7%
compared with 5 rivals
AI readiness
5/14
technical checks passed. Typical for its sector: 3
Rank in its sector
53 of 246
by overall score, where the typical industrial company scores 31
How CRH 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
14

How often AI assistants name the company

Citations
1

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

Sentiment
83

How positively AI describes the company

Site quality
80

How well built the website's own pages are

AI readiness
36

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 score38
Ranks 53 of 246. Typical company: 31
Named in answers10%
Ranks 74 of 246. Typical company: 5%
AI readiness36
Ranks 6 of 246. Typical company: 21
What Perplexity actually said

An answer that names the company

“How do different types of building materials suppliers compare when sourcing products for transportation projects?”

When sourcing for transportation projects, suppliers generally fall into a few useful types: material manufacturers, distributors/trading companies, logistics-focused suppliers, and integrated suppliers that combine materials with delivery and technical support. The best choice depends on whether you need DOT-compliant products, specialized transport logistics, broad product availability, or turnkey project support.

Manufacturers / vertically integrated material suppliers are strongest when you need direct product control, specification co …

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

Also named
Martin Marietta3
Share of mentions

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

CRH
25.0%
Vulcan Materials Company
20.8%
Heidelberg Materials North America (formerly Lehigh Hanson)
16.7%
Martin Marietta
12.5%
LafargeHolcim US (now Holcim US)
12.5%
CEMEX USA
12.5%
Which AI assistants named the company

Answers naming it, out of answers received

Gemini
2/15
Perplexity
2/15
Claude
1/15
OpenAI
1/15
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
Can an AI agent buy here?

Not by itself. CRH publishes none of the purchase protocols we look for. An agent would have to click through the checkout like a person.

  • UCPNot present
  • ACPNot present
  • AP2Not present
  • x402Not present
  • MPPNot present

The shop runs on WooCommerce.

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
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 25 of 100 · 97% of checks could run · checked on October 5, 2026 · www.crh.com · 2,047 companies scanned

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

The checks behind the AI readiness score

5 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%
  • PassedHTTP Link headers (RFC 8288)study: 29.0%
Content Accessibility
  • PassedMarkdown 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

justdial.com
21
fhwa.dot.gov
9
finance.yahoo.com
8
cemexusa.com
7
cmicglobal.com
6
cnba.us
6
heidelbergmaterials.us
6
sciencedirect.com
6
en.wikipedia.org
6
crh.com (its own website)
5

In the study as S&P 500.

Every question, and where the company came up (3 of 15)
QuestionOpenAIClaudePerplexityGemini
  • How much do building materials for a mid-sized commercial project typically cost in the US?
  • Is it worth sourcing all construction materials from a full-line building materials supplier?
  • What are the best sources for recycled building materials for infrastructure work?
  • Are bulk discounts available from building materials suppliers for contractors?
  • Alternatives to traditional cement in environmentally friendly construction projects
  • Common problems when sourcing aggregates for large projects and how to solve them
  • Do premium building materials suppliers offer better value for complex infrastructure developments?
  • What should I do if my building materials order is delayed at the supplier?
  • How do different types of building materials suppliers compare when sourcing products for transportation projects?
  • What are the best materials to use for sustainable road construction in the US?
  • Non-traditional suppliers for aggregates and concrete in the United States
  • Aggregates vs cement: Which is more cost-effective for road construction?
  • What are the best building materials suppliers for large-scale infrastructure projects in the US?
  • Which products are recommended for building flood-resistant infrastructure?
  • Which construction materials are most popular for water-resilient community projects?
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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Overall score 38 of 100 badge for CRH

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