agentspeed.

deepmind.google

scanned 7/25/2026, 9:40:33 PM · cached · refresh in 21h · rubric 2026.07.4
robots.txt present: passrobots.txt allows AI agents: passContent-Signal directives: failllms.txt present: passSitemap present: passLink response headers: failCanonical 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: warnCookie wall blocks content: passPage title: passMeta description: passJSON-LD present: failStructured data validates: skipSchema type coverage: failPaywall / login wall: passAgent Skills manifest: failWebMCP actions: failPrimary action reachable: passReachability: passTime to first byte: passFull render time: skipPage weight: pass64/ 100 · D
Needs work

This is how AI agents (not browsers) experience deepmind.google. 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.

failJSON-LD presentStructured data

No JSON-LD blocks found. Add a <script type="application/ld+json"> with a schema.org type for this page.

Fix: Add a <script type="application/ld+json"> describing the page (Organization, Article, Product, FAQPage).

failLink response headersDiscoverability

No HTTP Link: response headers. Emit canonical/alternate/describedby relations so HEAD-only or stream-rendering agents get them without parsing HTML.

Fix: Emit `Link:` headers for canonical, alternate-language, and describedby relations. Agents that fetch HEAD-only or stream-render rely on these.

failText-to-markup ratioReadability

Visible text is 3.4% of HTML weight (8049/233401 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%.

failSchema type coverageStructured data

Page looks like Article|BlogPosting|NewsArticle; missing JSON-LD type(s): Article|BlogPosting|NewsArticle.

Fix: Align JSON-LD type to page purpose. Product pages without Product markup are skipped by agent shopping flows.

warnHeading hierarchyReadability

Heading issues: no <h1>.

Fix: Use a single H1 and avoid skipping heading levels (H1 → H3).

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.

Don’t lose this report

Get it in your inbox now — and a heads-up whenever deepmind.google’s agent-readiness score changes. Free, unsubscribe anytime.

Fix it

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

Add JSON-LD structured data
Paste inside <head>. Use Article/Product instead of Organization on those page types.
<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "Organization",
  "name": "Google DeepMind",
  "url": "https://deepmind.google/"
}
</script>

What the agent receives

The agent’s-eye view
Google DeepMind Skip to main content Explore our next generation AI systems Explore models Gemini Gemini Build intelligent agents Gemini Omni Create anything from anything Nano Banana Create and edit detailed images Gemini Audio Talk, create and control audio Specialized models Veo Generate cinematic video with audio Imagen Generate high-quality images from text Lyria Generate high fidelity music and audio World models & embodied AI Genie 3 Generate and explore interactive worlds Gemini Robotics Perceive, reason, use tools and interact Open models Gemma Build responsible AI applications at scale Our latest AI breakthroughs and updates from the lab Explore research Breakthroughs SIMA 2 An agent that plays, reasons, and learns with you Genie 3 Generate and explore interactive worlds AlphaGo Mastering the game of Go Gemini Robotics Perceive, reason, use tools and interact Learn more Evals Publications Responsibility Unlocking a new era of discovery with AI Explore science Breakthroughs AlphaFold Predict protein structures with high accuracy WeatherNext Fast and accurate AI weather forecasting AlphaEarth Map our planet in unprecedented detail AlphaEvolve Design advanced algorithms for math and applications in computing Learn more Gemini for Science Experimental Tools Science Skills Our mission is to build AI responsibly to benefit humanity About Google DeepMind Responsibility Ensuring AI safety through proactive security, even against evolving threats News Discover our latest AI breakthroughs, projects, and updates Careers We’re looking for people who want to make a real, positive impact on the world Learn more Education Our National Partnerships for AI Accelerator programs The Podcast Models Explore our next generation AI systems Explore models Gemini Gemini Build intelligent agents Gemini Omni Create anything from anything Nano Banana Create and edit detailed images Gemini Audio Talk, create and control audio Specialized models Veo Generate cinematic video with audio Imagen Generate high-quality images from text Lyria Generate high fidelity music and audio World models & embodied AI Genie 3 Generate and explore interactive worlds Gemini Robotics Perceive, reason, use tools and interact Open models Gemma Build responsible AI applications at scale Research Our latest AI breakthroughs and updates from the lab Explore research Breakthroughs SIMA 2 An agent that plays, reasons, and learns with you Genie 3 Generate and explore interactive worlds AlphaGo Mastering the game of Go Gemini Robotics Perceive, reason, use tools and interact Learn more Evals Publications Responsibility Science Unlocking a new era of discovery with AI Explore science Breakthroughs AlphaFold Predict protein structures with high accuracy WeatherNext Fast and accurate AI weather forecasting AlphaEarth Map our planet in unprecedented detail AlphaEvolve Design advanced algorithms for math and applications in computing Learn more Gemini for Science Experimental Tools Science Skills About Our mission is to build AI responsibly to benefit humanity About Google DeepMind Learn more Education Our National Partnerships for AI Accelerator programs The Podcast Responsibility Ensuring AI safety through proactive security, even against evolving threats News Discover our latest AI breakthroughs, projects, and updates Careers We’re looking for people who want to make a real, positive impact on the world Build with Gemini Try Gemini Google DeepMind Google AI Learn about all our AI Google DeepMind Explore the frontier of AI Google Labs Try our AI experiments Google Research Explore our research Products and apps Gemini app Chat with Gemini Google AI Studio Build with our next-gen AI models Google Antigravity Our agentic development platform Models Research Science About Build with Gemini Try Gemini Slide 1 of 7 Your browser does not support the video tag. Gemini 3.5 Our latest series of models combine frontier intelligence with action Learn more Try Nano Banana 2 Lite 🍌 Our fastest, most efficient Gemini Image model Learn more Try Your browser does not support the video tag. Gemini Omni Create anything from anything, starting with video Learn more Try Co-Scientist A collaborative AI research partner Learn more Your browser does not support the video tag. Gemini for Science Powering scientific discovery with AI Learn more Your browser does not support the video tag. Gemma 4 Our most intelligent open models, built to maximize intelligence-per-parameter Learn more Try Your browser does not support the video tag. Lyria 3 Compose music with vocals, and experiment with acoustic details Learn more Try Latest news View news Introducing Gemini 3.5 Flash Cyber July 2026 Models Learn more Accelerating the frontiers of scientific discovery: Google’s $40M commitment to the Genesis Mission July 2026 Learn more Introducing Gemini 3.6 Flash, 3.5 Flash-Lite, and 3.5 Flash Cyber July 2026 Learn more Our approach to bioresilience July 2026 Responsibility & Safety Learn more Empowering India’s next generation of innovators with ATL Saathi July 2026 Responsibility & Safety Learn more Start building with Nano Banana 2 Lite and Gemini Omni Flash June 2026 Models Learn more Introducing computer use in Gemini 3.5 Flash June 2026 Models Learn more Google DeepMind and A24 announce first-of-its-kind research partnership June 2026 Company Learn more Securing the future of AI agents June 2026 Responsibility & Safety Learn more Models Build with our next generation AI systems View models Slide 1 of 7 New Gemini Frontier intelligence with action Try it in Gemini app Google AI Studio Google Antigravity Gemini Enterprise Agent Platform Learn more New Gemini Omni Create anything from anything, starting with video Try it in Gemini app Google Flow Learn more Nano Banana 🍌 Create and edit images with Gemini Image Try it in Gemini app Google AI Studio Gemini Enterprise Agent Platform Learn more New Gemini Audio Advanced real-time audio models, built on Gemini Try it in Google AI Studio Gemini API Gemini Live API Learn more Lyria Our most advanced music generation model yet Try it in Gemini app Google AI Studio Gemini Enterprise Agent Platform Learn more Veo Our leading video generation model Try it in Gemini app Google Flow Google AI Studio Gemini Enterprise Agent Platform Learn more Gemma Our most capable open models Build with Gemma Google AI Studio Run Gemma Developer docs Learn more The Podcast The frontier of intelligence, explained Learn more 10 years of AlphaGo: The turning point for AI Exactly one decade later, we look back at the match that sparked the modern AI revolution. The future of intelligence Demis shares his vision for the path to AGI - from solving "root node" problems in fusion energy and material science to the rise of world models and simulations. The arrival of AGI Shane walks host Hannah Fry through his AGI framework, breaking down the levels from minimal AGI to full AGI, and his timelines for each. Google DeepMind robotics lab tour Hannah interacts with a new set of robots—those that don't just see, but think, plan, and do. AlphaFold: Grand challenge to Nobel Prize Five years ago, AlphaFold 2 solved the protein structure prediction problem, unlocking new avenues of biological research and providing our first major proof point that AI can be a powerful tool to advance science and cure disease. Follow us Sign up for updates on our latest innovations I accept Google's Terms and Conditions and acknowledge that my information will be used in accordance with Google's Privacy Policy . Sign up Build AI responsibly to benefit humanity Models Gemini Gemini Omni Nano Banana Gemini Audio Gemma Genie Lyria Veo Research Gemini Robotics Breakthroughs Evals Publications Responsibility Science AlphaFold AlphaGenome WeatherNext AlphaEarth AlphaEvolve Products Gemini app Google AI Studio Google Antigravity Learn more About News Careers National Partnerships for AI Accelerator programs The Podcast About Google Google products Privac

Show your score

Embed this badge on your site. It links back to this live scan and updates on every rescan.

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

Track this score

Get this report by email, then a heads-up when deepmind.google’s agent-readiness actually changes — a check regressing, or the composite dropping.

Two things never trigger an email: a score change caused by us publishing a new rubric, because that is a different instrument rather than a change to your site, and movement explained only by timing-derived checks, which shift run to run on a site nobody touched.

Want it on your own schedule, with Slack or a webhook instead of email? Score-drift monitoring is on every paid plan.

Full breakdown

13 pass1 warn13 fail3 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
pass
llms.txt present
Found /llms.txt (6927 bytes), H1 + at least one link present.
100/100
pass
Sitemap present
sitemap.xml reachable and referenced from robots.txt.
100/100
fail
Link response headers
No HTTP Link: response headers. Emit canonical/alternate/describedby relations so HEAD-only or stream-rendering agents get them without parsing HTML.
0/100
pass
Canonical URL
Canonical points to self: https://deepmind.google/.
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 3.4% of HTML weight (8049/233401 bytes). Low. Markup may be crowding out agent-usable text.
26/100
skip
Content without JavaScript
Browser pass unavailable; cannot measure JS dependency.
warn
Heading hierarchy
Heading issues: no <h1>.
75/100
pass
Cookie wall blocks content
No common consent-modal markers detected.
100/100
pass
Page title
A concise <title> is present (15 chars).
100/100
pass
Meta description
A well-sized meta description is present (200 chars).
100/100
Structured data
fail
JSON-LD present
No JSON-LD blocks found. Add a <script type="application/ld+json"> with a schema.org type for this page.
0/100
skip
Structured data validates
No JSON-LD blocks present; nothing to validate (covered by structured_data.jsonld_present).
fail
Schema type coverage
Page looks like Article|BlogPosting|NewsArticle; missing JSON-LD type(s): Article|BlogPosting|NewsArticle.
0/100
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 systems and models") with price/CTA ("Try Gemini").
100/100
pass
Reachability
HTTP 200.
100/100
Performance
pass
Time to first byte
TTFB 311ms. Healthy.
80/100
skip
Full render time
Full-render time unavailable (browser pass skipped or failed).
pass
Page weight
Initial document is a lean 228 KB.
100/100
Beyond the scan

Running AI agents of your own? AgentSpeed also monitors them in production — every run, its latency, cost, and failures, with alerts when something breaks. Free for 10,000 events a month, no credit card.

Start watching free →See plans