- Visibility22
- Citations1
- Sentiment78
- Site quality67
- AI readiness14
AI assistants name Freeport-McMoRan in 20% of answers, which is more often than the typical company in the Industrial sector at 5%. Its overall score is 35 out of 100, placing it 815th of 2,047 companies. The company's website passes 2 of 14 technical checks for readiness for AI tools.
We asked 15 unbranded questions about the industrial market: none named Freeport-McMoRan. AI assistants named it in 12 of 60 answers (20.0%). The typical industrial company is named in 5.0% of answers. By how often it is named, Freeport-McMoRan ranks 30 of 246 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.
246 companies in this sector. The line on each bar is the typical company.
An answer that names the company
“Where to find reports on proven and probable reserves for US copper and gold miners?”
The most reliable place to find proven and probable reserve reports for U.S. copper and gold miners is the companies’ own annual reports / 10-K filings, NI 43-101 technical reports for Canadian-listed issuers, and investor relations presentations that summarize reserve tables.
For U.S.-listed miners, the reserve figures are commonly disclosed in the SEC filings section of the annual report, often in a table labeled “Proven and Probable Mineral Reserves.” Freeport-McMoRan, for example, reports U.S. copper and gold reserve totals in its 2025 annual report filed via …
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 0: Not yet agent-ready. Agents struggle to find basic information about the site.
- 2 of robots.txt, Sitemap, Link headers
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%SitemapNot 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.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 16 of 100 · 97% of checks could run · checked on October 5, 2026 · fcx.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
- Passedrobots.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%
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.
- GPTBotpartly
- ClaudeBotpartly
- Anthropic-AIpartly
- Google-Extendedpartly
- Applebot-Extendedpartly
- Meta-ExternalAgentpartly
- FacebookBotpartly
- Bytespiderpartly
- CCBotpartly
- Diffbotpartly
- Omgilibotpartly
- OAI-SearchBotpartly
- Claude-SearchBotpartly
- PerplexityBotpartly
- Applebotpartly
- Amazonbotpartly
- YouBotpartly
- 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.
How many times each website was listed as a source in these answers
In the study as S&P 500.
- What options do institutional investors have besides mining companies in the metals sector?
- Typical supply arrangements for industrial customers purchasing refined copper
- What factors influence the pricing of copper concentrate from US mining companies?
- Where to find reports on proven and probable reserves for US copper and gold miners?
- How is copper from US mines used in clean energy applications?
- Alternatives to traditional copper mining for sourcing industrial copper
- Best sources for responsibly produced copper in the United States
- What are the top copper and precious metals mining companies operating in the US?
- What environmental challenges do large-scale copper miners face in the US?
- Are mining companies with diversified metals portfolios worth considering for institutional investors?
- Common supply chain issues in US copper and gold mining operations
- How do integrated copper mining companies compare to precious metals-focused mining companies?
- Copper mining versus gold mining: key differences for industrial buyers
- How do fluctuating gold prices impact the operations of precious metals miners?
- Is investing in US-based copper producers a good long-term strategy?
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/fcx.com"><img src="https://aeo-audit.rezolve.com/us/badges/fcx.com.svg" alt="Overall score 35 of 100, US AI Visibility Study 2026" width="280" height="64"></a>