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Keysight Technologies

keysight.com · Technology · KEYS

Ranked 382 of 2,047 companies in the study

40Overall score
  • Visibility33
  • Citations14
  • Sentiment50
  • Site quality87
  • AI readiness14
What this means for Keysight Technologies

AI assistants name Keysight Technologies in 23.3% of answers, which is more often than the typical company in the technology sector (10%). Its overall score is 40 out of 100, ranking 382nd of 2,047. The company's website passes 2 of 14 technical checks for readiness with AI tools.

We asked 15 unbranded questions about the technology market: none named Keysight Technologies. AI assistants named it in 14 of 60 answers (23.3%). The typical technology company is named in 10.0% of answers. By how often it is named, Keysight Technologies ranks 67 of 273 in its sector.

Named by AI in
23.3%
14 of 60 answers
Share of mentions
48.3%
compared with 5 rivals
AI readiness
2/14
technical checks passed. Typical for its sector: 4
Rank in its sector
69 of 273
by overall score, where the typical technology company scores 36
How Keysight Technologies 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
33

How often AI assistants name the company

Citations
14

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

Sentiment
50

How positively AI describes the company

Site quality
87

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 technology

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

Overall score40
Ranks 69 of 273. Typical company: 36
Named in answers23%
Ranks 67 of 273. Typical company: 10%
AI readiness14
Ranks 237 of 273. Typical company: 29
What Gemini actually said

An answer that names the company

“Low-cost options for engineers needing entry-level test equipment”

Entry-level engineers looking for low-cost test equipment have a variety of affordable and capable options to choose from, with many essential tools available for under $1,000, and some even under $500. Advances in technology have made high-frequency test equipment more accessible for students, hobbyists, and everyday engineers.

Here are some essential and budget-friendly test equipment options:

1. Digital Multimeter (DMM)

A digital multimeter is a fundamental tool in any electronics lab, combining the functions of an ammeter, ohmmeter, and voltmeter to measure current, resistance, and v …

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

Also named
Tektronix6Rohde & Schwarz1National Instruments (NI)1
Share of mentions

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

Keysight Technologies
58.3%
Tektronix
25.0%
National Instruments (NI)
8.3%
Rohde & Schwarz
4.2%
Anritsu
4.2%
Teledyne LeCroy
0.0%
Which AI assistants named the company

Answers naming it, out of answers received

Perplexity
5/15
Gemini
4/15
OpenAI
4/15
Claude
1/15
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 AuthCould not check

    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 CatalogCould not check

    List public APIs in a linkset at /.well-known/api-catalog.

    study: 0.3%
  • OAuth discoveryCould not check

    Publish OpenID Connect or OAuth server metadata under /.well-known.

    study: 11.8%
  • OAuth Protected ResourceCould not check

    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 CardCould not check

    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%
  • WebMCPNot met

    Register key actions such as search or cart as WebMCP tools.

    study: 33.7%
  • ARD manifestCould not check

    Publish an ai-catalog.json listing every agent interface.

    study: 0.1%

Score 30 of 100 · 79% of checks could run · checked on October 3, 2026 · www.keysight.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

keysight.com (its own website)
70
synopsys.com
17
tek.com
10
mwrf.com
9
rohde-schwarz.com
7
electronicdesign.com
6
arxiv.org
6
youtube.com
6
blogs.sw.siemens.com
5
autodesk.com
5

In the study as S&P 500.

Every question, and where the company came up (7 of 15)
QuestionOpenAIClaudePerplexityGemini
  • Low-cost options for engineers needing entry-level test equipment
  • Common issues when setting up emulation environments for semiconductor testing
  • Best software tools for simulating wide bandwidth signals in the US
  • Are premium test and measurement solutions worth the investment for small engineering teams?
  • Typical price ranges for professional-grade oscilloscopes in the US
  • Where can engineers find hands-on labs for semiconductor testing and validation in the US?
  • What are the most important features to look for in advanced electronic design and test solutions?
  • How to resolve measurement errors in spectrum analyzers during RF testing?
  • Alternatives to traditional lab-based measurement techniques for communications hardware development
  • How can test solutions be used to accelerate chip development cycles?
  • What are some typical applications for GNSS simulation in aerospace projects?
  • How does hardware emulation differ from traditional simulation in electronic design workflows?
  • Electronic test automation vs manual testing: advantages and disadvantages
  • What to consider before purchasing high-fidelity signal simulation equipment?
  • Is there a cost difference between cloud-based and on-premise electronic design tools?
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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Overall score 40 of 100 badge for Keysight Technologies

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