# Uber scores 75 out of 100 on the Agent Readiness Index

Uber reaches level 2, Legible. Web experience is the strongest area at 100 out of 100. Protocol access is the weakest at 36.

Uber was scanned on October 15, 2026. Its score is 75 out of 100, level 2, Legible. An agent can read and cite your content. To reach level 3, Connectable: Offer a programmatic path: a live MCP server, a data sharing program with OAuth metadata, or a verified Poppy file.

Website: [uber.com](https://www.uber.com)

## Score by area

| Area | Score | What it asks |
| --- | --- | --- |
| Discoverability | 64 out of 100, worth 15 points | Can an agent find and read your pages? |
| Protocol access | 36 out of 100, worth 20 points | Can an agent connect to you through MCP or an API? |
| Identity and delegation | 94 out of 100, worth 20 points | Can a customer give an agent limited access without sharing a password? |
| Web experience | 100 out of 100, worth 15 points | Does your site work when an agent uses it? |
| Voice and IVR | Not measured yet | What happens when an agent calls your phone line? |
| Policy and governance | 96 out of 100, worth 10 points | Do your terms allow agents that act for customers? |

## What is holding Uber back

1. **MCP server**, 8 points lost. No MCP server, server card or registry entry was found for this organization. Fix: Publish a remote MCP server with OAuth. Start with read only tools such as account status, orders or location search, and publish a server card at /.well known/mcp/server card.
2. **llms.txt guide for agents**, 3 points lost. No llms.txt file was found at the site root. Fix: Publish /llms.txt with links to product, pricing, support and location pages.
3. **Structured data on the home page**, 3 points lost. No JSON LD structured data was found on the home page. Fix: Add JSON LD for your organization type, Product or Service, Offer and FAQPage on the pages customers ask about most.
4. **Browser tools exposed to agents**, 3 points lost. The sign in and home pages register no browser tools for agents. Fix: Register tools for safe tasks such as location search and price lookup with navigator.modelContext.

## What already works

- OAuth and OpenID metadata
- Passkeys at sign in
- Sign in page loads for a declared agent in a browser

## How Uber compares

The average score for consumer brands is 40.8 out of 100 across 112 organizations. The average across all 1,421 scored organizations is 42.2 out of 100.

## Similar organizations

- [Thumbtack](https://readyindex.ai/thumbtack_com), 77 out of 100
- [Revlon](https://readyindex.ai/revlon_com), 76 out of 100
- [Equifax](https://readyindex.ai/equifax_com), 75 out of 100
- [Olaplex](https://readyindex.ai/olaplex_com), 73 out of 100
- [Glossier](https://readyindex.ai/glossier_com), 72 out of 100
- [Tupperware](https://readyindex.ai/tupperware_com), 72 out of 100

## More on this report

- [This report as markdown](https://readyindex.ai/uber_com.md)
- [This report as JSON data](https://readyindex.ai/api/reports/uber_com)
- [How the score is worked out](https://readyindex.ai/method)
- [All leaderboards](https://readyindex.ai/leaderboards)
- [Every scored organization](https://readyindex.ai/organizations)
- [Scan your own website](https://readyindex.ai/)

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Source: https://readyindex.ai/uber_com
Updated: 2026-10-15
From the Agent Readiness Index by Encore AI. When you quote a score, please link to the report it came from.