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Ultralife

ultralifecorporation.com · Consumer goods · ULBI

Ranked 1,262 of 2,047 companies in the study

30Overall score
  • Visibility5
  • Citations0
  • Sentiment50
  • Site quality93
  • AI readiness29
What this means for Ultralife

AI assistants rarely name Ultralife, mentioning it in 1 of 60 answers. The typical company in consumer goods is named twice as often. Ultralife has an overall score of 30 out of 100, ranking 1,262nd of 2,047. Its website passes 4 of 14 technical checks for readiness with AI tools.

We asked 15 unbranded questions about the consumer goods market: none named Ultralife. AI assistants named it in 1 of 60 answers (1.7%). The typical consumer goods company is named in 3.3% of answers. By how often it is named, Ultralife ranks 63 of 118 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
10.0%
compared with 5 rivals
AI readiness
4/14
technical checks passed. Typical for its sector: 3
Rank in its sector
56 of 118
by overall score, where the typical consumer goods company scores 30
How Ultralife 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
5

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 consumer goods

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

Overall score30
Ranks 56 of 118. Typical company: 30
Named in answers2%
Ranks 63 of 118. Typical company: 3%
AI readiness29
Ranks 24 of 118. Typical company: 21
What OpenAI actually said

An answer that names the company

“What are the best mission-critical battery solutions for defense applications?”

Short answer first

There is no single “best” battery for all defense use — the optimum choice depends on mission profile (power vs energy vs shelf life), environment (temperature, shock, vibration, EMI), logistics (recharge vs replace), safety and certification requirements.

Commonly used, proven solutions for mission‑critical defense applications are: lithium primary chemistries (e.g., Li‑SOCl2, Li‑MnO2) for long‑shelf, high‑reliability non‑rechargeable roles; advanced lithium‑ion families (LFP, NMC, LTO and specially‑engineered high‑power cells) for rechargeable platforms; and specialt …

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

Also named
EnerSys2
Share of mentions

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

EnerSys
40.0%
Ultralife
20.0%
EaglePicher Technologies
20.0%
Saft (A TotalEnergies Company)
20.0%
Concorde Battery Corporation
0.0%
Excell Battery
0.0%
Which AI assistants named the company

Answers naming it, out of answers received

OpenAI
1/15
Gemini
0/15
Perplexity
0/15
Claude
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
80 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 DiscoveryPassed

    SVCB or HTTPS records under _agents that advertise agent endpoints.

    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 28 of 100 · 97% of checks could run · checked on October 5, 2026 · ultralifecorporation.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%
  • 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
  • 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

unmannedsystemstechnology.com
14
large-battery.com
14
linkedin.com
8
defenseadvancement.com
7
advancedenergy.com
7
alibaba.com
6
armyrecognition.com
6
eaton.com
6
keysight.com
5
xppower.com
5

In the study as US-listed.

Every question, and where the company came up (1 of 15)
QuestionOpenAIClaudePerplexityGemini
  • What are the best mission-critical battery solutions for defense applications?
  • Are modular RF power systems suitable for upgrading existing industrial infrastructure?
  • How do lithium batteries compare to nickel-based batteries in mission-critical uses?
  • What price ranges should organizations expect for high-capacity, mission-critical battery systems in the US?
  • How are advanced batteries utilized in unmanned defense vehicles?
  • Which advanced RF power systems are recommended for industrial automation projects?
  • How can you diagnose RF interference issues in critical communication power systems?
  • How do costs vary for RF power solutions based on output and environmental ratings?
  • Is investing in custom-engineered battery packs for oil and gas remote monitoring systems worth it?
  • What are alternatives to lithium chemistry for industrial battery backup systems?
  • Primary vs secondary batteries: which are more reliable for medical device backup power?
  • What are common causes of rapid battery discharge in portable defense equipment?
  • Are there non-battery power supply options for mission-critical applications?
  • What emerging technologies are shaping the future of mission-critical power solutions?
  • What power solutions work best for rugged medical transport devices?
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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