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Dover

dovercorporation.com · Industrial · DOV

Ranked 1,991 of 2,047 companies in the study

22Overall score
  • Visibility0
  • Citations0
  • Sentiment50
  • Site quality67
  • AI readiness14
What this means for Dover

AI assistants do not name Dover in any of their answers to market questions. The company has an overall score of 22 out of 100, ranking 1,991st of 2,047. Its website passes 2 out of 14 technical checks for how ready it is for AI tools.

We asked 15 unbranded questions about the industrial market: none named Dover. 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, Dover 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
2/14
technical checks passed. Typical for its sector: 3
Rank in its sector
241 of 246
by overall score, where the typical industrial company scores 31
How Dover 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
67

How well built the website's own pages are

AI readiness
14

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 score22
Ranks 241 of 246. Typical company: 31
Named in answers0%
Ranks 191 of 246. Typical company: 5%
AI readiness14
Ranks 207 of 246. Typical company: 21
What OpenAI actually said

The company is not named in this answer

“What are the best industrial equipment suppliers for OEMs looking for reliable manufacturing solutions in the US?”

Below are leading U.S.-available industrial equipment suppliers and distributors that OEMs commonly rely on for reliable manufacturing solutions. I grouped them by capability so you can pick vendors that match your product, scale, and service needs. If you tell me your industry (discrete, process, packaging, medical, semiconductor, etc.), I can narrow to the best fit and add integrators or regional reps.

Automation & Controls (for machine builders / OEMs)

Rockwell Automation — widely used by U.S. OEMs for PLCs, I/O, HMI, safety and an OEM partner program that supports machine builders with …

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

Named instead
Parker Hannifin1
Share of mentions

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

Emerson Electric Co.
75.0%
Parker Hannifin
25.0%
Dover
0.0%
ITT Inc.
0.0%
Eaton Corporation
0.0%
Illinois Tool Works Inc. (ITW)
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 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

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
41 of 100
  • robots.txtPassed

    A valid robots.txt with crawl rules at the site root.

    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
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 16 of 100 · 97% of checks could run · checked on October 4, 2026 · dovercorporation.com · 2,047 companies scanned

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

The checks behind the AI readiness score

2 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%
  • 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%
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

justdial.com
20
manufacturingdigital.com
10
oxmaint.com
8
tractian.com
7
en.wikipedia.org
7
tradeindia.com
7
advancedtech.com
6
mdcplus.fi
6
siemens.com
5
epa.gov
5

In the study as S&P 500.

Every question, and where the company came up (0 of 15)
QuestionOpenAIClaudePerplexityGemini
  • How do maintenance costs for consumable supplies impact the total cost of industrial equipment ownership?
  • Is it a good idea to buy refurbished manufacturing equipment for heavy industry applications?
  • What are the best industrial equipment suppliers for OEMs looking for reliable manufacturing solutions in the US?
  • What are alternatives to traditional conveyor systems for automated material handling?
  • Are aftermarket parts for industrial equipment worth the investment for long-term maintenance?
  • Which types of digital solutions enhance energy efficiency in fabrication facilities?
  • What are common causes of component failures in automated production lines?
  • What is the average cost range for purchasing new industrial labeling equipment in the US?
  • Which sustainable options exist for reducing waste in industrial manufacturing processes?
  • How can I improve uptime when dealing with frequent breakdowns in packaging machinery?
  • Industrial equipment rental vs purchase: which is more cost-effective for mid-size manufacturers?
  • How do traditional mechanical components compare to digital solutions for industrial automation?
  • What manufacturing equipment is best suited for high-volume food processing plants?
  • What are the top alternatives to proprietary automation systems for flexible manufacturing setups?
  • Top companies offering innovative digital solutions for manufacturing process automation?
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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