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Parker Hannifin

parker.com · Industrial · PH

Ranked 1,606 of 2,047 companies in the study

27Overall score
  • Visibility0
  • Citations1
  • Sentiment50
  • Site quality80
  • AI readiness36
What this means for Parker Hannifin

AI assistants do not name Parker Hannifin in any of their 60 answers, while the typical company in its sector is named in 5% of answers. Its overall score is 27 out of 100, ranking 1,606th of 2,047 companies. The website passes 5 of 14 technical checks for AI tool readiness.

We asked 15 unbranded questions about the industrial market: none named Parker Hannifin. 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, Parker Hannifin 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
5/14
technical checks passed. Typical for its sector: 3
Rank in its sector
177 of 246
by overall score, where the typical industrial company scores 31
How Parker Hannifin 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
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 score27
Ranks 177 of 246. Typical company: 31
Named in answers0%
Ranks 191 of 246. Typical company: 5%
AI readiness36
Ranks 6 of 246. Typical company: 21
What Claude actually said

The company is not named in this answer

“Average cost differences between basic and advanced fluid power control solutions in the US?”

Let me search for more specific pricing information on fluid power controls.Based on my search results, I can provide you with specific cost information for fluid power control solutions in the US:

Cost Differences Between Basic and Advanced Control Solutions

High-performance servo valves cost $3,200 or more, compared to $428-$1,205 for proportional valves. This represents a significant price differential between basic and advanced control solutions.

What These Options Offer

Proportional Valves (Basic/Mid-Range): Proportional valves are simpler in structure with less stringent m …

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

Named instead
HYDAC1
Share of mentions

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

Moog Inc.
50.0%
HYDAC
50.0%
Parker Hannifin
0.0%
Eaton
0.0%
Bosch Rexroth
0.0%
Danfoss Power Solutions
0.0%
Which AI assistants named the company

Answers naming it, out of answers received

Claude
0/15
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 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
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 4, 2026 · www.parker.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
  • 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 12 AI crawlers by name. All others follow its general rules.

Training AI
  • GPTBot*allowed
  • ClaudeBot*allowed
  • Anthropic-AI*allowed
  • Google-Extended*blocked
  • Applebot-Extended*blocked
  • Meta-ExternalAgent*blocked
  • FacebookBot*allowed
  • Bytespiderpartly
  • CCBot*blocked
  • Diffbotpartly
  • Omgilibot*blocked
AI search
  • OAI-SearchBotpartly
  • Claude-SearchBotpartly
  • PerplexityBot*allowed
  • Applebotpartly
  • Amazonbotpartly
  • YouBotpartly
Answering questions
  • ChatGPT-User*allowed
  • Claude-Userpartly
  • Perplexity-Userpartly
  • DuckAssistBot*allowed
  • 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

automate.org
19
powermotiontech.com
13
machinedesign.com
8
linkedin.com
6
festo.com
6
eaton.com
6
analog.com
6
tolomatic.com
5
sepac.com
5
cmco.com
5

In the study as S&P 500.

Every question, and where the company came up (0 of 15)
QuestionOpenAIClaudePerplexityGemini
  • Differences between hydraulic and electromechanical actuators in motion control setups?
  • Best motion control technologies for improving efficiency in manufacturing plants?
  • What are the main options for eco-friendly motion control technology in manufacturing?
  • How do electrohydraulic systems compare with purely pneumatic systems for industrial automation?
  • What are the most reliable motion and control solutions for aerospace applications?
  • How can motion and control components enhance system reliability in aerospace equipment?
  • Average cost differences between basic and advanced fluid power control solutions in the US?
  • Is premium filtration essential for optimal hydraulic system performance in industrial settings?
  • Are advanced motion and control technologies worth the investment for small manufacturers?
  • Common reasons for reduced efficiency in motion control systems and how to fix them?
  • What causes pneumatic actuators to lose precision in automated lines?
  • What factors affect the price of custom motion control assemblies for OEMs?
  • Best practices for integrating sensors into industrial motion control systems?
  • Substitutes for standard motion control valves in high-speed production environments?
  • Alternatives to traditional hydraulic systems for heavy-duty industrial applications?
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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