- Visibility32
- Citations2
- Sentiment50
- Site quality87
- AI readiness7
AI assistants name Cadence Design Systems in 35% of answers, which is more often than the typical company in the technology sector. Cadence holds an overall score of 36 out of 100, ranking 703rd of 2,047 companies. Its website passes 1 of 14 technical checks measuring readiness for AI tools.
We asked 15 unbranded questions about the technology market: none named Cadence Design Systems. AI assistants named it in 21 of 60 answers (35.0%). The typical technology company is named in 10.0% of answers. By how often it is named, Cadence Design Systems ranks 39 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
“Are there pay-as-you-go options for electronic design automation platforms?”
Yes—some electronic design automation (EDA) platforms do offer pay-as-you-go or similarly pay-per-use pricing models.
Synopsys Cloud offers a pay-per-use model with access to EDA licenses by the hour or minute, including a “FlexEDA” approach and SaaS/BYOC deployment options.
Cadence says its cloud EDA offerings include flexible business models, including pay-as-you-go and burst capacity.
Autodesk EAGLE/Fusion electronics tools advertise “Pay as you go with Flex” for occasional use.
IBM also described cloud EDA serv …
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%SitemapPartly met
Serve an XML sitemap and reference it 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.txtPartly 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%WebMCPNot met
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 29 of 100 · 100% of checks could run · checked on October 3, 2026 · cadence.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.
- Common challenges when deploying EDA solutions for large-scale chip design and how to overcome them?
- Are there pay-as-you-go options for electronic design automation platforms?
- What are good open-source alternatives to commercial EDA platforms?
- How can AI-driven EDA tools improve time-to-market for new silicon products?
- How does hardware-assisted EDA compare to software-only solutions for complex silicon projects?
- What are the best EDA tools for accelerating AI-enabled chip design?
- How to choose the right electronic design automation suite for multi-domain system design?
- Ways to leverage EDA solutions for data center hardware innovation.
- Alternatives to traditional EDA workflows for AI-enabled hardware development.
- FPGA prototyping versus virtual prototyping: Which is better for early system validation?
- What to do if EDA software crashes during RTL synthesis?
- Which electronic design automation platforms are most suitable for system-level design engineers?
- Is investing in AI-powered EDA platforms worth it for a small semiconductor startup?
- What is the typical price range for comprehensive EDA tool suites in the US market?
- What are some lightweight EDA solutions for educational or hobbyist use?
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.
A badge of this result that you can show on your own website. Copy the code below.
<a href="https://aeo-audit.rezolve.com/us/cadence.com"><img src="https://aeo-audit.rezolve.com/us/badges/cadence.com.svg" alt="Overall score 36 of 100, US AI Visibility Study 2026" width="280" height="64"></a>