agentspeed.

groq.com

scanned 7/25/2026, 9:40:42 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: failCanonical URL: failMCP 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: 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: pass62/ 100 · D
Needs work

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

Discoverability
39
Readability
78
Structured data
0
Actionability
75
Performance
100

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Top fixes

failCanonical URLDiscoverability

No <link rel="canonical"> tag in <head>. Agents use canonical URLs to dedupe and cite.

Fix · Next.js: Set alternates.canonical in the Metadata API (generateMetadata) for each route.

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 · Next.js: Emit JSON-LD from a Server Component or the Metadata API: a <script type="application/ld+json"> with Organization / Article / Product for the page.

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.

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 0.4% of HTML weight (4525/1035847 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.

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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://groq.com/llms.txt
# Groq is fast, low cost inference.

> The Groq LPU delivers inference with the speed and cost developers need.

## Key pages
- [Home](https://groq.com/)
- [Groq delivers fast, low cost inference that doesn’t flake when things get real.](https://groq.com/)
- [The McLaren F1 Team chooses Groq for inference globally.](https://groq.com/)
- [LPU built for inference, exceptional speed and affordability at scale.](https://groq.com/)
- [3m developers and teams](https://groq.com/)
- [To deliver different results, you need a different stack.](https://groq.com/)
- [Others rely on GPUs alone. Our edge? Custom silicon.](https://groq.com/)

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

What the agent receives

The agent’s-eye view
Groq is fast, low cost inference. skip to content Groq Platform GroqCloud LPU Architecture See Pricing Solutions Industries &amp; Use Cases Customer Stories Demos Learn Blog Whitepapers Newsroom Changelog Subscribe Pricing Developers Free API key Community Docs Enterprises Start Building Toggle Main Navigation Close mobile navigation Platform GroqCloud LPU Architecture See Pricing Solutions Industries &amp; Use Cases Customer Stories Demos Learn Blog Whitepapers Newsroom Changelog Subscribe Pricing Developers Free API key Community Docs Enterprises Inference is Fuel for AI Groq delivers fast, low cost inference that doesn’t flake when things get real. Get Started Speed at a winning cost The McLaren F1 Team chooses Groq for inference globally. The Groq LPU LPU built for inference, exceptional speed and affordability at scale. 3m developers and teams Close Try the speed of Groq... Born for this. Literally. To deliver different results, you need a different stack. Others rely on GPUs alone. Our edge? Custom silicon. Groq pioneered the LPU in 2016, the first chip purpose-built for inference. Every design choice focuses on keeping intelligence fast and affordable. Learn More Benchmarks don’t ship. Workloads do. Instant intelligence. Deployed worldwide. Inference works best when it’s local. Groq’s LPU-based stack runs in data centers across the world to deliver low-latency responses from the most intelligent models. View Models The LPU is the cartridge. GroqCloud is the console. Devs trust GroqCloud for inference that stays smart, fast and affordable. View Pricing What inference provider are you using or considering using to access models? Source: Artificial Analysis AI Adoption Survey 2025 Partnership Spotlight The McLaren Formula 1 Team chooses Groq for inference. The McLaren F1 Team is fueled by decision-making, analysis, development and real-time insights. So the McLaren F1 Team chose Groq. Read More Don’t take our word for it. Proof from the people shipping. Read Customer Stories If we have things where performance matters more, we come to Groq - you deliver real, working solutions, not just buzzwords. Kevin Scott, CTO, PGA of America We optimized our infrastructure to its limits – but the breakthrough came with GroqCloud. Overnight, our chat speed surged 7.41x while costs fell by 89%. I was stunned. So, we tripled our token consumption. We simply can’t get enough. Nicolas Bustamante, CEO, Fintool Groq has created immense savings and reduced so much overhead for us. We’ve been able to keep costs for our main offerings incredibly low, helping keep our premium plan at a reasonable price for students of all backgrounds. Abhigyan Arya, CTO, Opennote If we have things where performance matters more, we come to Groq - you deliver real, working solutions, not just buzzwords. Kevin Scott, CTO, PGA of America We optimized our infrastructure to its limits – but the breakthrough came with GroqCloud. Overnight, our chat speed surged 7.41x while costs fell by 89%. I was stunned. So, we tripled our token consumption. We simply can’t get enough. Nicolas Bustamante, CEO, Fintool Groq has created immense savings and reduced so much overhead for us. We’ve been able to keep costs for our main offerings incredibly low, helping keep our premium plan at a reasonable price for students of all backgrounds. Abhigyan Arya, CTO, Opennote SWITCH FASTER THAN YOU CAN READ THIS. OpenAI compatible in just two lines. Start Now python javascript 1 import os 2 import openai 3 4 client = openai.OpenAI( 5 base_url= &quot;https://api.groq.com/openai/v1&quot; , 6 api_key=os.environ.get( &quot;GROQ_API_KEY&quot; ) 7 ) Copy News Featured September 17, 2025 Groq Raises $750 Million as Inference Demand Surges August 5, 2025 Day Zero Support for OpenAI Open Models May 27, 2025 From Speed to Scale: How Groq Is Optimized for MoE &amp; Other Large Models Build Fast Seamlessly integrate Groq starting with just a few lines of code Try Groq for Free Groq Groq was established in 2016 for one thing: inference. Groq Footer Links Platform &amp; Solutions GroqCloud LPU Architecture See Pricing Customer Stories Demos Enterprise Inquiry Learn Blog Whitepapers Newsroom Subscribe Careers Careers at Groq Developers Free API key Community Docs Terms &amp; Policies Website Terms of Use Privacy Policy Groq Trust Center Cookie Notice Groq Privacy Portal GroqCloud Terms Groq Services Agreement Security Trademark Policy Photography and Filming Policy © 2026 Groq , All rights reserved.

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

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Full breakdown

12 pass1 warn14 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
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
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
fail
Canonical URL
No <link rel="canonical"> tag in <head>. Agents use canonical URLs to dedupe and cite.
0/100
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 0.4% of HTML weight (4525/1035847 bytes). Low. Markup may be crowding out agent-usable text.
3/100
skip
Content without JavaScript
Browser pass unavailable; cannot measure JS dependency.
—
pass
Heading hierarchy
Hierarchy is well-formed (1 H1, no skipped levels, 23 headings total).
100/100
pass
Cookie wall blocks content
No common consent-modal markers detected.
100/100
pass
Page title
A concise <title> is present (33 chars).
100/100
pass
Meta description
A well-sized meta description is present (72 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 ("fast, low-cost AI inference") with price/CTA ("Try Groq for Free").
100/100
pass
Reachability
HTTP 200.
100/100
Performance
pass
Time to first byte
TTFB 153ms. Healthy.
100/100
skip
Full render time
Full-render time unavailable (browser pass skipped or failed).
—
pass
Page weight
Initial document is a lean 1012 KB.
100/100
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