agentspeed.

runwayml.com

scanned 7/25/2026, 9:40:14 PM · cached · refresh in 21h · rubric 2026.07.4
Built with Next.js
robots.txt present: passrobots.txt allows AI agents: passContent-Signal directives: failllms.txt present: warnSitemap present: passLink response headers: passCanonical URL: passMCP server card: failOAuth authorization metadata: failOAuth resource metadata: failAPI catalog / OpenAPI: failWeb Bot Auth: failMarkdown negotiation: failText-to-markup ratio: failContent without JavaScript: skipHeading hierarchy: passCookie wall blocks content: warnPage title: passMeta description: warnJSON-LD present: passStructured data validates: warnSchema type coverage: passPaywall / login wall: passAgent Skills manifest: failWebMCP actions: failPrimary action reachable: passReachability: passTime to first byte: passFull render time: skipPage weight: pass73/ 100 · C
Needs work

This is how AI agents (not browsers) experience runwayml.com. The score weights five categories of machine-readability; the ticks on the arc are the 30 individual checks behind it.

✉ Email me this report + alert me when it changes ↓

Top fixes

Checks tagged “emerging” are 2026 agent-protocol standards most of the web hasn’t adopted yet — adopting early is an edge, not a defect.

warnllms.txt presentDiscoverability

Found /llms.txt but missing H1 header and markdown links.

Fix · Next.js: Add /llms.txt via app/llms.txt/route.ts (or public/llms.txt). Generate one free at /tools/llms-txt-generator.

failText-to-markup ratioReadability

Visible text is 0.5% of HTML weight (4148/856002 bytes). Low. Markup may be crowding out agent-usable text.

Fix: Heavy ad or navigation markup crowds out agent-usable text. Aim for a text-to-DOM ratio above 15%.

warnCookie wall blocks contentReadability

Consent modal detected (cookiebot.com); content still visible. Verify the modal does not block first-paint for screenshot agents.

Fix: Defer cookie consent overlay until after content is visible, or render behind the primary content. Agents without JS or with ad-blocking profiles see a blank page otherwise.

warnMeta descriptionReadability

Meta description is 238 characters; aim for 50–200 so it's neither thin nor truncated.

Fix: Add `<meta name="description" content="...">` to your primary pages. Agents frequently use it as a summary.

warnStructured data validatesStructured data

1 recommended-field warning(s). First: WebSite recommends "potentialAction" (improves agent comprehension). 1 block(s) skipped — type outside the set we check.

Fix: Validate your JSON-LD with Google Rich Results test. Fix missing required properties.

failContent-Signal directivesemergingDiscoverability

No Content-Signal directives. Add e.g. `Content-Signal: ai-train=no, ai-summarize=yes` to declare granular AI usage policy beyond binary allow/disallow.

Fix: Add `Content-Signal:` directives to your robots.txt. This is the emerging standard (Cloudflare-driven) for declaring fine-grained AI usage policy beyond a binary allow/disallow.

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Fix it

Generated, ready-to-ship files for the gaps above — copy them or download and drop them into your repo.

Add an llms.txt
Publish this at https://runwayml.com/llms.txt
# Runway | Building Real-World Intelligence

> Runway is building foundational Real-World Intelligence that can understand, simulate and act in the world. We offer products and services built on-top of this intelligence to empower individuals and organizations to do more in the world.

## Key pages
- [Home](https://runwayml.com/)
- [Building Real-World Intelligence](https://runwayml.com/)
- [Three platforms built on-top of the same Real-World Intelligence models](https://runwayml.com/)

## About
Describe what runwayml.com does, who it's for, and the primary action you want an
agent to be able to complete. Keep it factual and current.
Qualifies for certificationBronze

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What the agent receives

The agent’s-eye view
Runway | Building Real-World Intelligence Creative Dev Robotics Resources Enterprise Pricing Enterprise Sales Login Try Runway Building Real-World Intelligence Runway is building foundational Real-World Intelligence that can understand, simulate and act in the world. We offer products and services built on-top of this intelligence to empower individuals and organizations to do more in the world. Try Runway for free We partner with the world&#x27;s leading organizations to advance their industries: Three platforms built on-top of the same Real-World Intelligence models Runway Creative Your complete Creative Suite with everything you need, to make anything you want. An all-in-one cloud-based creative platform that offers endless ways to generate and edit video, images and audio in one workspace. Built for individuals and teams of all sizes. Try now Learn more For Enterprise Used by 50m+ creatives around the world. Try free, cancel anytime. Runway Dev The AI media platform for developers to bring the world&#x27;s best models anywhere you need them. Create your own pipelines combining multiple models, modalities and tasks. Trigger Workflows via custom endpoints. Get API Key Learn more For Enterprise Runway Robotics A complete toolkit to run policy inference through photorealistic simulation. From policy inference and evaluation to synthetic data generation, every component is powered by GWM-1, our state-of-the-art General World Model. Pick the surface you need — we&#x27;ll work with you to fit it to your hardware. Learn more Contact Sales Runway Creative Runway Dev Runway Robotics How Runway is Used Create with Agent Build your own Workflows Enterprise-grade The World&#x27;s Best Models Runway Research We are building foundational General World Models that will be capable of simulating all possible worlds and experiences. The next frontier of intelligence will come from models that can understand, perceive, generate and act in the world. Learn more GWM-1 ↗ A state-of-the-art General World Model built to interact with the real world. And a major step towards universal simulation. Gen-4.5 ↗ The world&#x27;s best video model, featuring state-of-the-art motion quality, prompt adherence and visual fidelity. General World Models ↗ Our long-term research effort to build AI systems that understand the visual world and its dynamics. See the latest from Runway Runway and Lionsgate Expand Partnership Companies Will Launch a Joint Development Program to Create New IP; Lionsgate Has Taken an Equity Interest in Runway Learn more Runway Opens London HQ, Bringing World Model Research Hub to the UK and Europe Announcing London as Runway&#x27;s new European headquarters and world model research hub, with a planned $100M investment in the UK AI ecosystem and a new Head of Europe. Learn more Inside Salomon&#x27;s Latest Global Brand Campaign, Built on Runway Paris-based creative studio Unveil walks through its hybrid live-action and AI production for Salomon&#x27;s latest global brand campaign. Learn more Project Luxo: Crossing the Uncanny Valley of AI Media Today we&#x27;re sharing early evidence of a shift we believe will reshape how media is made: AI-generated video is beginning to cross the uncanny valley. Learn more Creative Overview Agent Android app ↗ iOS app ↗ MCP Use Cases Pricing Login Dev Dev Portal ↗ Models ↗ Workflows Recipes ↗ Characters Documentation ↗ Robotics Overview Policy Model Offline Policy Evaluation Data Augmentation Video Model Licensing Get Access Enterprise Overview Data Security Customer Stories For Education Contact Sales Research Research Hub Research News Publications General World Models GWM-1 Gen-4.5 Aleph 2.0 Act-Two Resources Academy ↗ Help Center ↗ Resource Hub News Changelog Meetups ↗ Events &amp; Programs AI Festival ↗ AI Summit 2026 ↗ Gen:48 Studios Creative Partners Program Runway Builders Affiliate Program Company About Us Careers Talent Network ↗ Safety Brand Guidelines Press Partnerships © 2026 Runway AI, Inc. / Terms of Use / Privacy Policy / California Notices / Cookie Settings Code of Conduct / System Status / English

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AgentSpeed score for runwayml.com
<a href="https://agentspeed.com/scan/runwayml.com"><img src="https://agentspeed.com/badge/runwayml.com" alt="AgentSpeed agent-readiness score" height="56"></a>

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Full breakdown

14 pass4 warn10 fail2 skip
Discoverability
pass
robots.txt present
A robots.txt is reachable at the site root.
100/100
pass
robots.txt allows AI agents
All 8 answer-time access agents allowed.
100/100
fail
Content-Signal directivesemerging
No Content-Signal directives. Add e.g. `Content-Signal: ai-train=no, ai-summarize=yes` to declare granular AI usage policy beyond binary allow/disallow.
0/100
warn
llms.txt present
Found /llms.txt but missing H1 header and markdown links.
60/100
pass
Sitemap present
sitemap.xml reachable and referenced from robots.txt.
100/100
pass
Link response headers
Link: header carries useful relation(s): alternate.
100/100
pass
Canonical URL
Canonical points to self: https://runway.com/.
100/100
fail
MCP server cardemerging
No valid MCP Server Card at /.well-known/mcp/server-card.json. Publish one so agents can discover your tools without HTML scraping.
0/100
fail
OAuth authorization metadataemerging
No RFC 8414 metadata at /.well-known/oauth-authorization-server. Agents that act on behalf of users need this to discover your authorization endpoints.
0/100
fail
OAuth resource metadataemerging
No RFC 9728 metadata at /.well-known/oauth-protected-resource. Publish it so agents can discover required scopes without hand-coded credentials.
0/100
fail
API catalog / OpenAPIemerging
No /.well-known/api-catalog (RFC 9727) and no /openapi.json|yaml. Publish one so agents that integrate with APIs can discover your endpoints.
0/100
fail
Web Bot Authemerging
No Web Bot Auth JWKS at /.well-known/http-message-signatures-directory.json. Publish one to allow trusted agents while keeping a default-deny posture for the rest.
0/100
Readability
fail
Markdown negotiationemerging
Accept: text/markdown returns HTML, not markdown. Serve a markdown variant of primary content when requested; agents summarize and cite it more reliably.
0/100
fail
Text-to-markup ratio
Visible text is 0.5% of HTML weight (4148/856002 bytes). Low. Markup may be crowding out agent-usable text.
4/100
skip
Content without JavaScript
Browser pass unavailable; cannot measure JS dependency.
pass
Heading hierarchy
Hierarchy is well-formed (1 H1, no skipped levels, 8 headings total).
100/100
warn
Cookie wall blocks content
Consent modal detected (cookiebot.com); content still visible. Verify the modal does not block first-paint for screenshot agents.
70/100
pass
Page title
A concise <title> is present (41 chars).
100/100
warn
Meta description
Meta description is 238 characters; aim for 50–200 so it's neither thin nor truncated.
60/100
Structured data
pass
JSON-LD present
Found 1 JSON-LD block.
100/100
warn
Structured data validates
1 recommended-field warning(s). First: WebSite recommends "potentialAction" (improves agent comprehension). 1 block(s) skipped — type outside the set we check.
95/100
pass
Schema type coverage
Page intent unclear; no specific schema.org type expected.
100/100
Actionability
pass
Paywall / login wall
No paywall or login-wall detected on the landing URL.
100/100
fail
Agent Skills manifestemerging
No Agent Skills manifest at /.well-known/agent-skills.json. Enumerate the tasks agents can perform (search, add-to-cart, contact-support) so they pick the right one without scraping.
0/100
fail
WebMCP actionsemerging
No WebMCP detected. On pages with first-class actions (cart, support, account), embed a WebMCP server so on-page agents invoke tools directly.
0/100
pass
Primary action reachable
Primary offering identified ("AI media and creative platform") with price/CTA ("Try Runway for free").
100/100
pass
Reachability
HTTP 200 after 1 redirect.
100/100
Performance
pass
Time to first byte
TTFB 434ms. Healthy.
80/100
skip
Full render time
Full-render time unavailable (browser pass skipped or failed).
pass
Page weight
Initial document is a lean 836 KB.
100/100
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