- Visibility16
- Citations4
- Sentiment50
- Site quality73
- AI readiness29
AI assistants name Marvell Technology in 11.7% of answers, which is a little more often than the typical company in its sector. Marvell Technology has an overall score of 31 out of 100 and ranks 1,112th of 2,047 companies. Its website passes 2 out of 14 technical checks for readiness for AI tools.
We asked 15 unbranded questions about the technology market: none named Marvell Technology. AI assistants named it in 7 of 60 answers (11.7%). The typical technology company is named in 10.0% of answers. By how often it is named, Marvell Technology ranks 121 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
“What are the best semiconductor solutions for scaling enterprise data centers?”
Scaling enterprise data centers effectively requires a multifaceted approach to semiconductor solutions, focusing on processing power, energy efficiency, high-speed connectivity, and advanced packaging. The market for data center semiconductors is experiencing significant growth, driven largely by the demands of AI, generative AI, and high-performance computing (HPC) workloads.
Key semiconductor solutions for scaling enterprise data centers include:
1. High-Performance Processors and Accelerators:
GPUs, TPUs, and ASICs: The increasing adoption of AI and machine learning is fueli …
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
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 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.marvell.com · 2,047 companies scanned
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 checksHide them
- Not metrobots.txt publishedstudy: 85.0%
- Not metXML sitemapstudy: 73.2%
- PassedHTTP 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.
- Average price range for high-speed data center switches in the US
- What are the best semiconductor solutions for scaling enterprise data centers?
- Does upgrading to CXL-based compute solutions improve cloud network efficiency?
- Alternatives to monolithic switch solutions for building scalable cloud infrastructure
- How are transimpedance amplifiers used in automotive network infrastructure?
- Why might an SSD controller fail within an automotive data system?
- How do costs for storage accelerators compare to standard enterprise SSD controllers?
- Options to replace coherent-lite DSPs in telecommunications applications
- How do data center switches compare to optical modules for high-bandwidth networking?
- Ethernet controllers vs PCIe retimers: which is better for enterprise storage?
- Best use cases for data processing units in AI-driven enterprises
- Top connectivity technologies for enabling cloud-based AI infrastructure
- Are advanced coherent DSPs worth the investment for telecom carriers?
- What are some substitutes for CXL-based memory solutions in large data centers?
- Common issues when deploying coherent optical connectivity in carrier networks
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/marvell.com"><img src="https://aeo-audit.rezolve.com/us/badges/marvell.com.svg" alt="Overall score 31 of 100, US AI Visibility Study 2026" width="280" height="64"></a>