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Analog Devices

analog.com · Technology · ADI

Ranked 315 of 2,047 companies in the study

41Overall score
  • Visibility28
  • Citations10
  • Sentiment82
  • Site quality67
  • AI readiness29
What this means for Analog Devices

AI assistants name Analog Devices in 20% of their answers, which is twice as often as the typical company in its sector. The company's overall score is 41 out of 100, placing it 315th of 2,047 companies. Its website passes 4 out of 14 technical checks for readiness with AI tools.

We asked 15 unbranded questions about the technology market: none named Analog Devices. AI assistants named it in 12 of 60 answers (20.0%). The typical technology company is named in 10.0% of answers. By how often it is named, Analog Devices ranks 82 of 273 in its sector.

Named by AI in
20.0%
12 of 60 answers
Share of mentions
40.0%
compared with 5 rivals
AI readiness
4/14
technical checks passed. Typical for its sector: 4
Rank in its sector
57 of 273
by overall score, where the typical technology company scores 36
How Analog Devices 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
28

How often AI assistants name the company

Citations
10

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

Sentiment
82

How positively AI describes the company

Site quality
67

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 technology

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

Overall score41
Ranks 57 of 273. Typical company: 36
Named in answers20%
Ranks 82 of 273. Typical company: 10%
AI readiness29
Ranks 82 of 273. Typical company: 29
What Claude actually said

An answer that names the company

“What are the best analog integrated circuits for energy-efficient IoT applications?”

I'll search for information about the best analog integrated circuits for energy-efficient IoT applications.Let me search for more specific information about particular IC families and components recommended for IoT.Based on the research, here's a comprehensive overview of the best analog integrated circuits for energy-efficient IoT applications:

Key Analog IC Components

Power Management ICs

The TPS62840 is a synchronous step-down converter characterized by a low quiescent current (typically 60 nA), which increases battery life in battery-powered industrial and consumer applications i …

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

Also named
Texas Instruments8ON Semiconductor1
Share of mentions

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

Analog Devices
48.0%
Texas Instruments
20.0%
Microchip Technology
16.0%
Maxim Integrated (now part of Analog Devices, but still operating as a distinct product line)
12.0%
ON Semiconductor
4.0%
NXP Semiconductors
0.0%
Which AI assistants named the company

Answers naming it, out of answers received

Perplexity
4/15
Claude
3/15
OpenAI
3/15
Gemini
2/15
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
100 of 100
  • Markdown negotiationCould not check

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

    study: 1.9%
  • llms.txtPassed

    An llms.txt that tells language models what the site offers.

    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 41 of 100 · 86% of checks could run · checked on October 3, 2026 · www.analog.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%
  • Not metHTTP 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
  • 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

analog.com (its own website)
56
ti.com
31
mdpi.com
12
arxiv.org
12
electronicdesign.com
10
eureka.patsnap.com
9
monolithicpower.com
9
pmc.ncbi.nlm.nih.gov
9
edn.com
8
mouser.com
7

In the study as S&P 500.

Every question, and where the company came up (4 of 15)
QuestionOpenAIClaudePerplexityGemini
  • Are high-precision ADCs worth the investment for industrial automation projects?
  • Recommended analog signal processing solutions for extending battery life in wireless devices?
  • Best practices for using analog front ends in optical sensor arrays?
  • What are the best analog integrated circuits for energy-efficient IoT applications?
  • How to resolve power supply noise in precision analog IC circuits?
  • Difference between analog and mixed-signal ICs in automotive applications?
  • How much should I expect to pay for high-speed ADCs in the US market?
  • Top mixed-signal ICs for wearable health monitoring devices?
  • DSP chips vs. traditional analog circuits for audio signal processing—pros and cons?
  • Cost factors to consider when sourcing mixed-signal microcontrollers for robotics?
  • What options exist besides mixed-signal SoCs for implementing fault detection in industrial equipment?
  • Is it better to use off-the-shelf signal conditioning ICs or design custom solutions for medical devices?
  • Affordable alternatives to high-end DSP processors for digital communications projects?
  • How are integrated circuits used for predictive diagnostics in laboratory equipment?
  • Common issues with mixed-signal IC integration in smart sensor systems?
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 41 of 100 badge for Analog Devices

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<a href="https://aeo-audit.rezolve.com/us/analog.com"><img src="https://aeo-audit.rezolve.com/us/badges/analog.com.svg" alt="Overall score 41 of 100, US AI Visibility Study 2026" width="280" height="64"></a>
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