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BAE Systems

baesystems.com · Industrial

Ranked 1,533 of 2,047 companies in the study

27Overall score
  • Visibility5
  • Citations1
  • Sentiment50
  • Site quality73
  • AI readiness29
What this means for BAE Systems

AI assistants rarely name BAE Systems, doing so in 2 out of 60 answers. In those same answers, they also name Lockheed Martin, General Dynamics, and Northrop Grumman. BAE Systems' overall score is 27 out of 100, ranking 1,533rd of 2,047 companies. Its website passes 2 of 14 technical checks for readiness for AI tools.

We asked 15 unbranded questions about the industrial market: none named BAE Systems. AI assistants named it in 2 of 60 answers (3.3%). The typical industrial company is named in 5.0% of answers. By how often it is named, BAE Systems ranks 138 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
3.3%
2 of 60 answers
Share of mentions
7.1%
compared with 5 rivals
AI readiness
2/14
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 BAE Systems 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
1

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

Sentiment
50

How positively AI describes the company

Site quality
73

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 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 answers3%
Ranks 138 of 246. Typical company: 5%
AI readiness29
Ranks 34 of 246. Typical company: 21
What OpenAI actually said

An answer that names the company

“Best companies in the US providing integrated defense systems for government agencies”

Below are leading U.S. companies that commonly supply integrated defense systems to federal agencies (DoD, DHS, USSF, USN, USAF, USMC, intelligence community and allied FMS customers). I’ve focused on large primes known for end-to-end systems (sensors, weapons, command-and-control, integration and sustainment), with a one-line note about their main system strengths and typical agency customers.

Top firms (brief):

Lockheed Martin — Integrated air, missile, space and C2 systems (Aegis/air & missile defense integrations, F-35, satellites, mission systems). Major prime for DoD and allied FMS. …

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

Also named
Lockheed Martin4General Dynamics3Northrop Grumman3L3Harris Technologies2
Share of mentions

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

Lockheed Martin
26.1%
Northrop Grumman
21.7%
General Dynamics
17.4%
Raytheon Technologies (RTX)
13.0%
L3Harris Technologies
13.0%
BAE Systems
8.7%
Which AI assistants named the company

Answers naming it, out of answers received

OpenAI
1/15
Perplexity
1/15
Claude
0/15
Gemini
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
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 5, 2026 · www.baesystems.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

apps.dtic.mil
22
en.wikipedia.org
15
marketsandmarkets.com
14
armyrecognition.com
11
japcc.org
7
baesystems.com (its own website)
7
lockheedmartin.com
6
militaryaerospace.com
6
media.defense.gov
6
researchandmarkets.com
5

In the study as Large private companies.

Every question, and where the company came up (1 of 15)
QuestionOpenAIClaudePerplexityGemini
  • What factors influence the cost of aerospace engineering services for defense contractors?
  • Typical pricing range for state-of-the-art radar and sensor systems in the US market
  • Best companies in the US providing integrated defense systems for government agencies
  • What are some options besides conventional munitions for precision strike capabilities?
  • Is it cost-effective to upgrade existing armored vehicle fleets with the latest defense tech?
  • How are cyber defense platforms being used by government organizations to prevent data breaches?
  • How to troubleshoot integration issues with multi-domain command and control platforms?
  • Are next-generation electronic warfare systems worth the investment for military organizations?
  • How do land-based defense systems compare to maritime defense technologies?
  • Alternatives to traditional piloted aircraft in military reconnaissance operations
  • What are the most advanced aerospace technology solutions available for military use?
  • Alternatives to centralized command systems for modern defense operations
  • Common challenges when implementing secure communications systems in the defense sector
  • Differences between unmanned aerial vehicle solutions and traditional aircraft in modern defense
  • Typical use-cases for advanced surveillance solutions in border security operations
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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