Glencore: 41 of 100 on Ora's agent-readiness scan

The score

Glencore is a mining and commodity trading company based in Baar, Switzerland.

• 41of 100, grade D
  Ora's agent-readiness scan of glencore.com, read 12 November 2026.
• 9Discovery, of 10
  Whether assistants find the company: search presence, Wikipedia and Wikidata, catalogues.
• 11.67Access, of 21
  Whether they can read it: the door, text without JavaScript, llms.txt, structured data.
• 1Usability, of 10
  Whether they can act through it: an MCP server, an API with a specification, sign-in for agents.
• 0Payments, of 0
  No check in this layer applied to the site.

43 percent of the 132,085 domains Ora ranks score under 40, and the average score is 44.

Ora's one-line summary: Glencore gives agents little to work with: no WebMCP support, no JSON-LD structured data, and a homepage with no H1 tag.

What an assistant meets at the door

Before an assistant can read, compare or buy, it has to get in. These rows are the door: whether the bot shield lets the main agents through, what robots.txt tells the search, training and user-triggered agents, and whether the home page has text without running JavaScript.

What it can read, and what it can do

The reading layer is what an assistant takes away from the pages: a text file written for it, markdown on request, structured data about the company, a sitemap. The act layer is whether it can do anything through a published interface rather than by clicking through the site.

The six payment checks did not apply on this read: Ora did not read the site as a shop.

Three fixes to hand to the web team

Ora estimates how many points each open check would return. These are the largest on this read, in Ora's words where it gave them, so a leader can hand the list over without translating it.

1. WebMCP support, worth about 17.8 points by Ora's estimate: No WebMCP support detected - no document.modelContext / navigator.modelContext usage found (scanned 2 of 2 same-origin script bundle(s) for modelContext registrations).
2. Content without JavaScript, worth about 5.3 points by Ora's estimate: Homepage: 5249 chars of readable text, but no H1 tag. 5 of 5 sampled inner pages have text without JavaScript.
3. Product + docs MCP coverage, worth about 4.4 points by Ora's estimate: This bonus needs two MCP servers: one for your product so agents can take actions, and a separate one for your documentation so agents can answer questions from your docs.

Our read

Glencore's site reads well to an agent and gives it nothing to do. The door is open: all four test agents reached the home page and robots.txt allows the AI search crawlers in 3 of 3 checks. The reading is mostly in order: a sitemap of 733 entries, every metadata signal present and text without JavaScript on all 5 sampled inner pages, though the home page carries 5,249 characters and no H1, and without JSON-LD no Organization block says who the company is. Discovery reads 9 of 10. The D comes from the act layer: Usability reads 1 of 10, with neither a public API nor an OpenAPI file, and a bot shield answered the MCP, OAuth and llms.txt probes, so those rows are unverified rather than failed. The API docs link Ora found is a PDF of the 2025 Modern Slavery Statement, which describes the probe more than the company. A D at 41; WebMCP alone is worth about 17.8 points, more than the act layer scores today.

Test your own site

Run the same scan on your own domain at ora.ai. The score, the layers and the fixes on this page come from its public result for glencore.com; a scan of a public site takes a few minutes and needs no account.

• Scan your domain on OraThe same checks, the same scoring, on your own site.
• The self-check, 18 questionsWhat to ask for, in business terms, before the scan.
• All the 360 checksThe other companies in this series, newest first.