- Visibility5
- Citations5
- Sentiment50
- Site quality33
- AI readiness7
AI assistants name NXP Semiconductors in 5% of their answers, which is less often than the typical company in its sector. Its overall score is 18 out of 100, ranking 2,033rd of 2,047 companies. The website passes 1 of 14 technical checks for readiness for AI tools.
We asked 15 unbranded questions about the technology market: none named NXP Semiconductors. AI assistants named it in 3 of 60 answers (5.0%). The typical technology company is named in 10.0% of answers. By how often it is named, NXP Semiconductors ranks 185 of 273 in its sector.
Every dot is a company in the study. Hover one to see it; click to open its report.
This companySame sectorEvery other companyNever named
Five parts, each scored out of 100.
How often AI assistants name the company
How often AI uses the company's own website as a source
How positively AI describes the company
How well built the website's own pages are
How easily AI tools can read and use the website
Visibility is calculated from the answers on this page. How the score is built.
273 companies in this sector. The line on each bar is the typical company.
An answer that names the company
“Most energy-efficient semiconductor solutions for battery-powered IoT sensors?”
The most energy-efficient semiconductor solutions for battery-powered IoT sensors often combine ultra-low-power microcontrollers (MCUs), specialized wireless communication protocols, and increasingly, energy harvesting capabilities. These solutions aim to extend battery life for years or even enable battery-less operation.
Key aspects of these energy-efficient solutions include:
1. Ultra-Low-Power Microcontrollers (MCUs)
Low-power MCUs are fundamental to extending IoT sensor battery life. They are designed to consume minimal electrical current across all operating states, includin …
The AI’s answer as we received it, shortened and not checked for accuracy.
How the mentions in these answers were split between this company and its rivals
Answers naming it, out of answers received
What this website publishes for an AI agent to read, use and buy from, on a scale of six levels.
- 0
- 1
- 2
- 3
- 4
- 5
Level 1: Basic web presence. Two of robots.txt, a sitemap and Link headers are in place.
- Content Signals
Show every check, for your technical teamHide the checks
- study: 92.0%robots.txtPassed
A valid robots.txt with crawl rules at the site root.
- study: 86.8%SitemapPassed
An XML sitemap listing the pages, ideally referenced from robots.txt.
- study: 0.3%Link headersNot met
Send Link headers such as rel="api-catalog" or rel="describedby" on the homepage.
- study: 5.5%DNS for AI DiscoveryNot present
Advertise agent endpoints with SVCB records under _agents.
- study: 1.9%Markdown negotiationNot met
Return a markdown version when asked with Accept: text/markdown, for example at the CDN.
- study: 25.1%llms.txtNot met
Publish an llms.txt with a short summary and the key links.
- study: 93.4%AI bot rulesPartly met
Add explicit robots.txt groups for the main AI crawlers.
- study: 1.4%Content SignalsNot met
Add a Content-Signal line for search, ai-input and ai-train to robots.txt.
- study: 0.2%Web Bot AuthNot present
Only relevant if you run your own agents or crawlers: publish a signing key directory.
- study: 0.3%API CatalogNot met
List public APIs in a linkset at /.well-known/api-catalog.
- study: 11.8%OAuth discoveryNot met
Publish OpenID Connect or OAuth server metadata under /.well-known.
- study: 10.3%OAuth Protected ResourceNot met
Serve protected resource metadata at /.well-known/oauth-protected-resource.
- study: 0.0%auth.mdNot met
Publish an auth.md describing how agents sign in.
- study: 0.2%MCP Server CardNot met
Offer an MCP server and publish its server card under /.well-known.
- study: 0.1%A2A Agent CardNot met
Publish an agent card at /.well-known/agent-card.json.
- study: 0.2%Agent SkillsNot met
Publish a skills index with the main tasks agents can do.
- study: 33.7%WebMCPCould not check
Register key actions such as search or cart as WebMCP tools.
- study: 0.1%ARD manifestNot met
Publish an ai-catalog.json listing every agent interface.
Score 25 of 100 · 97% of checks could run · checked on October 5, 2026 · www.nxp.com · 2,047 companies scanned
1 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 checksHide them
- Not metrobots.txt publishedstudy: 85.0%
- Not metXML sitemapstudy: 73.2%
- Not metHTTP Link headers (RFC 8288)study: 29.0%
- Not metMarkdown content negotiationstudy: 8.3%
- Not metllms.txt publishedstudy: 21.7%
- PassedToken budget (page weight)study: 95.2%
- Not metExplicit AI bot rulesstudy: 13.0%
- 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%
How many times each website was listed as a source in these answers
In the study as S&P 500.
- Most energy-efficient semiconductor solutions for battery-powered IoT sensors?
- What are the best microcontrollers for automotive safety systems?
- What type of processor is recommended for predictive maintenance in manufacturing?
- Are crossover MCUs worth the investment for edge computing in factories?
- How much do high-performance automotive microcontrollers typically cost in the US?
- How to fix real-time latency problems in automotive embedded systems?
- Microcontrollers vs applications processors for smart home automation projects?
- Automotive MCUs vs general purpose MCUs for connected vehicle applications?
- Best semiconductor solutions for smart city infrastructure projects?
- Common issues when integrating wireless connectivity in industrial sensors?
- Is there a big price difference between industrial and consumer-grade processors?
- What are some affordable options for secure IoT communication modules?
- Alternatives to Arm-based microcontrollers for industrial automation?
- Top industrial-grade processors for secure IoT gateways?
- How to know if a secure element is necessary for my IoT device?
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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<a href="https://aeo-audit.rezolve.com/us/nxp.com"><img src="https://aeo-audit.rezolve.com/us/badges/nxp.com.svg" alt="Overall score 18 of 100, US AI Visibility Study 2026" width="280" height="64"></a>