- Visibility26
- Citations3
- Sentiment80
- Site quality80
- AI readiness50
AI assistants name GlobalFoundries in 21.7% of answers, which is more often than the typical company in its sector at 10%. Its overall score is 43 out of 100, ranking 191st of 2,047 companies. The company's website passes 7 of 14 technical checks for readiness with AI tools.
We asked 15 unbranded questions about the technology market: none named GlobalFoundries. AI assistants named it in 13 of 60 answers (21.7%). The typical technology company is named in 10.0% of answers. By how often it is named, GlobalFoundries ranks 77 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
“Options for sourcing mature node semiconductor processes domestically”
The United States is actively working to increase domestic sourcing options for mature node semiconductor processes, driven by economic and national security concerns. This effort is supported by significant government initiatives and involves several key players in the semiconductor industry.
Government Initiatives and Funding:
CHIPS and Science Act: Enacted in 2022, this act provides roughly $280 billion in new funding to boost domestic research and manufacturing of semiconductors in the U.S., with $52.7 billion specifically appropriated for this purpose.
Incentive Pr …
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
Not by itself. GlobalFoundries publishes none of the purchase protocols we look for. An agent would have to click through the checkout like a person.
- UCPNot present
- ACPNot present
- AP2Not present
- x402Not present
- MPPNot present
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 rulesPassed
Explicit robots.txt rules for AI crawlers such as GPTBot, ClaudeBot and PerplexityBot.
- 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 discoveryPartly met
Publish OpenID Connect or OAuth server metadata under /.well-known.
- study: 10.3%OAuth Protected ResourcePassed
Metadata telling agents which authorization server to use.
- 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 38 of 100 · 97% of checks could run · checked on October 5, 2026 · gf.com · 2,047 companies scanned
7 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
- Passedrobots.txt publishedstudy: 85.0%
- PassedXML 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%
- PassedExplicit AI bot rulesstudy: 13.0%
- Not metAPI Catalog (.well-known/api-catalog)study: 0.2%
- PassedOAuth Authorization Server discoverystudy: 10.1%
- PassedOAuth 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%
This website sets rules for 7 AI crawlers by name. All others follow its general rules.
- GPTBot*partly
- ClaudeBot*partly
- Anthropic-AI*partly
- Google-Extended*partly
- Applebot-Extendedpartly
- Meta-ExternalAgentpartly
- FacebookBotpartly
- Bytespiderpartly
- CCBotpartly
- Diffbotpartly
- Omgilibotpartly
- OAI-SearchBot*partly
- Claude-SearchBotpartly
- PerplexityBot*partly
- Applebotpartly
- Amazonbotpartly
- YouBotpartly
- ChatGPT-User*partly
- 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.
How many times each website was listed as a source in these answers
In the study as US-listed.
- Options for sourcing mature node semiconductor processes domestically
- Typical cost range for custom ASIC production runs in the U.S.
- Is it worth paying extra for advanced packaging options in semiconductor fabrication?
- How does silicon photonics manufacturing differ from traditional CMOS production?
- Which semiconductor manufacturing processes are ideal for next-generation wireless connectivity chips?
- How to resolve defects in silicon-germanium wafer fabrication?
- Do U.S.-based semiconductor fabs offer better reliability for high-volume consumer electronics?
- Alternatives to traditional CMOS manufacturing for physical AI applications
- What are the key factors to consider when choosing a semiconductor manufacturing partner in the United States?
- Are there cost benefits to multi-project wafers for low-to-medium volume semiconductor manufacturing?
- What are common yield issues in advanced node semiconductor manufacturing and how to address them?
- What are some alternatives to silicon-based foundry services for specialized device manufacturing?
- Comparison of 22nm vs 12nm process nodes for automotive applications
- Best foundry solutions for scaling quantum technology components
- Best semiconductor process technologies for power-efficient IoT devices
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/gf.com"><img src="https://aeo-audit.rezolve.com/us/badges/gf.com.svg" alt="Overall score 43 of 100, US AI Visibility Study 2026" width="280" height="64"></a>