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Plug Power

plugpower.com · Technology · PLUG

Ranked 611 of 2,047 companies in the study

38Overall score
  • Visibility8
  • Citations4
  • Sentiment100
  • Site quality73
  • AI readiness36
What this means for Plug Power

AI assistants rarely name Plug Power, mentioning it in just 1 of 60 answers. Its overall score is 38 out of 100, ranking 611th of 2,047 companies. The website passes 5 out of 14 technical checks for AI tool readiness.

We asked 15 unbranded questions about the technology market: none named Plug Power. AI assistants named it in 1 of 60 answers (1.7%). The typical technology company is named in 10.0% of answers. By how often it is named, Plug Power ranks 211 of 273 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
1.7%
1 of 60 answers
Share of mentions
16.7%
compared with 5 rivals
AI readiness
5/14
technical checks passed. Typical for its sector: 4
Rank in its sector
89 of 273
by overall score, where the typical technology company scores 36
How Plug Power 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
4

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

Sentiment
100

How positively AI describes the company

Site quality
73

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 technology

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

Overall score38
Ranks 89 of 273. Typical company: 36
Named in answers2%
Ranks 211 of 273. Typical company: 10%
AI readiness36
Ranks 36 of 273. Typical company: 29
What Gemini actually said

An answer that names the company

“Ways to maintain continuous power supply in cold storage using fuel cells”

Fuel cells offer a promising solution for maintaining a continuous power supply in cold storage facilities due to their ability to provide consistent power in low temperatures, unlike traditional batteries which experience significant performance degradation. This can lead to increased productivity and reduced operational costs in cold storage environments.

Here are ways to maintain continuous power supply in cold storage using fuel cells:

Utilizing Hydrogen Fuel Cells for Material Handling Equipment: Hydrogen fuel cells are particularly well-suited for lift truck fleets and other ma …

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

Share of mentions

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

Plug Power
100.0%
Bloom Energy
0.0%
FuelCell Energy
0.0%
Ballard Power Systems
0.0%
Air Products
0.0%
Nel Hydrogen
0.0%
Which AI assistants named the company

Answers naming it, out of answers received

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

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

    study: 1.9%
  • llms.txtPartly 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 31 of 100 · 97% of checks could run · checked on October 5, 2026 · www.plugpower.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%
  • 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
  • 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

plugpower.com (its own website)
26
energy.gov
22
hydrogen.energy.gov
16
mdpi.com
16
sciencedirect.com
16
osti.gov
10
youtube.com
9
arxiv.org
9
irena.org
9
intelligent-energy.com
8

In the study as US-listed.

Every question, and where the company came up (1 of 15)
QuestionOpenAIClaudePerplexityGemini
  • Best use cases for hydrogen fuel cells in warehouse and logistics settings
  • Green hydrogen vs blue hydrogen for decarbonizing manufacturing plants
  • Common challenges when integrating hydrogen storage systems with existing infrastructure
  • Options besides green hydrogen for supporting zero-emissions vehicle fleets
  • What are the main benefits of using green hydrogen solutions for industrial operations?
  • Hydrogen fuel cells vs lithium-ion batteries for material handling equipment
  • What are other sustainable energy solutions for decarbonizing logistics operations?
  • How can hydrogen be used to reduce grid strain in industrial settings?
  • Is investing in fuel cell systems for fleet vehicles worth it for businesses?
  • How sustainable is switching to electrolyzer-based hydrogen production for facility energy needs?
  • Alternatives to hydrogen fuel cell systems for clean backup power
  • How to address operational issues in hydrogen-powered backup generators
  • Ways to maintain continuous power supply in cold storage using fuel cells
  • Typical cost drivers for on-site hydrogen production and liquefaction in the US
  • Price range for deploying hydrogen refueling stations at distribution centers
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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