agentspeed.

redis.io

scanned 7/25/2026, 8:40:39 PM · cached · refresh in 20h · rubric 2026.07.4
Built with Next.js
robots.txt present: passrobots.txt allows AI agents: passContent-Signal directives: passllms.txt present: passSitemap present: passLink response headers: failCanonical URL: warnMCP 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: passJSON-LD present: passStructured data validates: warnSchema type coverage: failPaywall / login wall: passAgent Skills manifest: failWebMCP actions: failPrimary action reachable: passReachability: passTime to first byte: passFull render time: skipPage weight: warn71/ 100 · C
Needs work

This is how AI agents (not browsers) experience redis.io. 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

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.

warnCanonical URLDiscoverability

Canonical points elsewhere: https://redis.io//. Verify intent (cross-domain canonicals are valid but unusual).

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

failText-to-markup ratioReadability

Visible text is 0.3% of HTML weight (8688/2845804 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 (trustarc.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.

warnStructured data validatesStructured data

1 recommended-field warning(s). First: WebPage recommends "url" (improves agent comprehension).

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

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 a canonical URL
Set per-page to that page’s primary URL.
<link rel="canonical" href="https://redis.io/" />
Qualifies for certificationBronze

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What the agent receives

The agent’s-eye view
Redis - Real-time data for agents &amp; apps Skip to: Home Content Footer navigation Serve your agents fresh data at Redis speed. Learn how Redis Iris Platform Platform Redis Iris Real-time context for agents Redis LangCache Save on tokens for common questions Redis Context Retriever Leverage context from anywhere Redis Agent Memory Agentic memory for consistent experiences Redis Data Integration CDC across your structured data Redis Flex More data, more speed, less cost Caching Sub-ms read/write at scale Streaming Event-driven messaging &amp; data pipelines Session management Fast, persistent storage for sessions Search Search &amp; query for structured data Feature store Real-time ML feature pipeline for apps &amp; agents Latest Power multi-step AI agents with real-time context Jul. 30, 2026 Get Redis Downloads Deploy Deploy Redis Cloud Fully managed, fully flexible Redis Software On-prem Redis open source framework Redis 8.8 Pricing Let’s talk numbers Redis on AWS Buy with cloud commits Azure Managed Redis Microsoft-supported Redis Redis on Google Cloud Redis from the marketplace saw a 40% increase in revenue generation through their new Redis powered online experience. See how uses Redis for 100+ vector search queries per second. See how achieved 37% faster API response times while having a 15% lower memory footprint with Redis. See how saw over a billon API request per month with Redis. See how Tools Redis Insight UI to visualize, query, &amp; debug RIOT Get data into Redis from anywhere Client libraries Python, Node, Java, Go, .Net, &amp; more SDKs Connect Redis to your apps Get Redis Downloads Solutions AI &amp; ML Apps Scale agent &amp; agentic systems Everything you need to be successful RAG Understand how Redis powers RAG Semantic search Right answers, right now ML Leverage your features, fast Token optimization All the AI without all the cost Core Workloads Fraud detection Stop fraud, protect customers Real-time decisions Act on data in real time Caching &amp; performance Our bread &amp; butter Real-time messaging Streams at the speed of thought Session management Consistent experiences everywhere Leaderboards Know who’s winning Industries Financial services E-commerce &amp; retail Gaming Healthcare Telco Get Redis Downloads Devs Docs Redis Cloud The nitty gritty Welcome to the community Join the largest open source community in cache Dev Hub All the tools to build Training University Become a Redis expert Tutorials How-to for whatever you’re trying to do Quick starts Go 0 to 1: Redis fast Knowledge base Get support saw a 40% increase in revenue generation through their new Redis powered online experience. See how uses Redis for 100+ vector search queries per second. See how achieved 37% faster API response times while having a 15% lower memory footprint with Redis. See how saw over a billon API request per month with Redis. See how Learning Blog All the words Resource center Everything you need, in one place Demo center Anything &amp; everything, in action Reference architectures No guessing, just deploy Resources Customers Resource Center Events Virtual &amp; live events Come say hello Partners Join the Redis Partner Network Find a partner AWS Google Microsoft saw a 40% increase in revenue generation through their new Redis powered online experience. See how uses Redis for 100+ vector search queries per second. See how achieved 37% faster API response times while having a 15% lower memory footprint with Redis. See how saw over a billon API request per month with Redis. See how Latest Power multi-step AI agents with real-time context Jul. 30, 2026 Learn how to Build Visit our dev hub Search Book a meeting Try Redis Redis Iris Platform Platform Redis Iris Real-time context for agents Redis LangCache Save on tokens for common questions Redis Context Retriever Leverage context from anywhere Redis Agent Memory Agentic memory for consistent experiences Redis Data Integration CDC across your structured data Redis Flex More data, more speed, less cost Caching Sub-ms read/write at scale Streaming Event-driven messaging &amp; data pipelines Session management Fast, persistent storage for sessions Search Search &amp; query for structured data Feature store Real-time ML feature pipeline for apps &amp; agents Get Redis Downloads Deploy Deploy Redis Cloud Fully managed, fully flexible Redis Software On-prem Redis open source framework Redis 8.8 Pricing Let’s talk numbers Redis on AWS Buy with cloud commits Azure Managed Redis Microsoft-supported Redis Redis on Google Cloud Redis from the marketplace Tools Redis Insight UI to visualize, query, &amp; debug RIOT Get data into Redis from anywhere Client libraries Python, Node, Java, Go, .Net, &amp; more SDKs Connect Redis to your apps Get Redis Downloads Solutions AI &amp; ML Apps Scale agent &amp; agentic systems Everything you need to be successful RAG Understand how Redis powers RAG Semantic search Right answers, right now ML Leverage your features, fast Token optimization All the AI without all the cost Core Workloads Fraud detection Stop fraud, protect customers Real-time decisions Act on data in real time Caching &amp; performance Our bread &amp; butter Real-time messaging Streams at the speed of thought Session management Consistent experiences everywhere Leaderboards Know who’s winning Industries Financial services E-commerce &amp; retail Gaming Healthcare Telco Get Redis Downloads Devs Docs Redis Cloud The nitty gritty Welcome to the community Join the largest open source community in cache Dev Hub All the tools to build Training University Become a Redis expert Tutorials How-to for whatever you’re trying to do Quick starts Go 0 to 1: Redis fast Knowledge base Get support Learning Blog All the words Resource center Everything you need, in one place Demo center Anything &amp; everything, in action Reference architectures No guessing, just deploy Resources Customers Resource Center Events Virtual &amp; live events Come say hello Partners Join the Redis Partner Network Find a partner AWS Google Microsoft Learn how to Build Visit our dev hub Try Redis Book a meeting Trust Privacy Terms of use Legal notices Cookie preferences English Español Français Deutsch 한국어 Italiano Português Use cases Vector database Feature Form Semantic cache Caching NoSQL database Leaderboards Data deduplication Messaging Authentication token storage Fast data ingest Redis Search All solutions Industries Financial Services Gaming Healthcare Retail Telco All industries Compare Redis vs. ElastiCache Redis vs. Memcached Redis vs. Memorystore Redis vs. Redis Open Source Company Mission &amp; values Careers News Connect Community Events &amp; Webinars Partners Amazon Web Services Google Cloud Azure All partners Support Professional Services Support Redis for Agents Documentation English Español Français Deutsch 한국어 Italiano Português Trust Privacy Terms of use Legal notices Cookie preferences Inquiring agents want to know: $ PROMPT How can I use Redis Iris as a real-time context engine for AI apps? Copy Try Redis Iris Get a demo What’s your problem ? Hallucinating agents Inconsistent answers Wrong decisions Poor app performance Token costs Feature inconsistencies Expensive memory REDIS CONTEXT RETRIEVER Find the right context, right away. Retrieve the most relevant data from your structured and unstructured data instantly with Redis-powered vector search—so your models always have the context they need to respond correctly. Learn more 80% of AI projects stall without real-time context. $ PROMPT Copied! How can I use Redis Context Retriever to improve the quality of my AI output? Start building in minutes Get started with Redis in your favorite LLM’s coding tools. See the docs Stop stitching tools together Work seamlessly from any stack with one unified platform for real-time agents and apps Stop stitching tools together Work seamlessly from any stack with one unified platform for real-time agents and apps Trusted by fast compani

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

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Full breakdown

13 pass4 warn11 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
pass
Content-Signal directivesemerging
Content-Signal directives are advertised, declaring fine-grained AI usage preferences.
100/100
pass
llms.txt present
Found /llms.txt (46829 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
warn
Canonical URL
Canonical points elsewhere: https://redis.io//. Verify intent (cross-domain canonicals are valid but unusual).
75/100
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 0.3% of HTML weight (8688/2845804 bytes). Low. Markup may be crowding out agent-usable text.
2/100
skip
Content without JavaScript
Browser pass unavailable; cannot measure JS dependency.
pass
Heading hierarchy
Hierarchy is well-formed (1 H1, no skipped levels, 13 headings total).
100/100
warn
Cookie wall blocks content
Consent modal detected (trustarc.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 (40 chars).
100/100
pass
Meta description
A well-sized meta description is present (130 chars).
100/100
Structured data
pass
JSON-LD present
Found 3 JSON-LD blocks.
100/100
warn
Structured data validates
1 recommended-field warning(s). First: WebPage recommends "url" (improves agent comprehension).
95/100
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 ("Real-time data platform for AI agents and apps") with price/CTA ("Try Redis").
100/100
pass
Reachability
HTTP 200.
100/100
Performance
pass
Time to first byte
TTFB 290ms. Healthy.
80/100
skip
Full render time
Full-render time unavailable (browser pass skipped or failed).
warn
Page weight
Initial document is 2779 KB. Under 3 MB, but trimming toward ~500 KB keeps agent fetches fast.
60/100
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