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The Content Layer for AI

BUILDTRUSTEDCONTENT

A curated AI knowledge library with reproducible workflows.Structured. Verified. Deep-linked to /ai.

What You'll Find Here

Focused Topics

AI search, GEO (Generative Engine Optimization) strategies, and AI-native content workflows.

Structured Entries

TL;DR, tables, FAQs, sources, change logs, media, and JSON-LD.

/ai Workflows

Run reproducible flows in Workbench. Design and refine workflows & prompts in Studio.

Capabilities

KNOWLEDGE LIBRARY

In-depth reports and playbooks on AI search and GEO, written for both humans and LLMs.

See a sample entry

WORKBENCH

Every entry ships with a reproducible /ai workflow. Open the Workbench to rerun our flows.

Try a workflow
Built-in

FACTS, SCHEMA & FEEDS

We emit facts.json, knowledge.json(ld), and Dataset JSON-LD so crawlers and LLMs can read our knowledge directly.

View feeds
{
  "@context": "https://schema.org",
  "@type": "Article",
  "headline": "AI-Ready Content",
  "datePublished": "2024-03-20",
  "author": {
    "@type": "Organization",
    "name": "Voxyz"
  }
}

ANATOMY OF A VOXYZ ENTRY

Every published report follows a strict structure so LLMs and search engines can reliably parse and cite it.

Concretely: TL;DR 80–160 chars, ≥3 FAQ pairs, ≥2 verified sources, and a 200 OK deep link into /ai.

Knowledge/AI Search

Optimizing Content for AI Search

High IntentUpdated 2d ago

TL;DR80-160 chars

Structured summaries optimized for AI context windows. Delivering key insights upfront without fluff.

Key MetricsData Tables

Metric
Impact
Click-through Rate
+12%
Citation Frequency
High

Frequently Asked Questions≥ 3 Pairs

Why structure content?

Structured data allows LLMs to parse information accurately.

How do I validate?

Use our built-in validation scripts...

Run this workflow

200 OK

Open in /ai Workbench

Sources: ≥2 Verified (HTTP 200)
Change Log: ≥1 Entry
JSON-LD: Article + HowTo

FROM PROBLEM TO SOLUTION

How we help you ship trusted content.

1

DEFINE

Identify key insights and data points from your research and reports.

2

DRAFT

Structure content with built-in schema and fact-checking guardrails.

3

SHIP

Publish AI-ready content that gets cited and trusted by agents.

FROM REPORT TO /AI IN ONE CLICK

Every high-intent entry declares a runDeeplink (deep link into /ai). Clicking "Run" opens the Workbench with prefilled parameters, so you can reuse our flows without copy-pasting.

Ship an AI-Citable Report

Run Workflow
voxyz.space/ai/workbench?prefill=...
New MissionReady
Generate AI-Ready Report
report_slug: "ai-search-basics"
intent: "geo_query"
START RUN

Trusted by Rules. Verified by Humans.

We don't rely on black-box trust. We use visible guardrails and automated validation.

Guardrails & Proof

Content Validation

Automated Check

active
TL;DR80-160 chars
FAQ≥ 3 Pairs
Sources≥ 2 Verified

Every high-intent entry must pass strict editorial gates before publish.

Technical Integrity

Automated Check

active
Deep LinksHTTP 200
JSON-LDValidated
MediaPresent

Automated CI pipelines verify structured data and link reachability.

Freshness SLA

Automated Check

active
Review Cycle≤ 45 Days
Stale FlagAutomated

Content is continuously monitored for staleness and deprecated if needed.

Community Feedback

We cut our research-to-publish cycle by 40%. The guardrails ensure every piece of content is AI-ready by default.

Elena Rodriguez

Elena Rodriguez

Head of Content Ops

The structured knowledge base and automated validation give us confidence. It's not just content; it's infrastructure.

Sarah Chen

Sarah Chen

Growth Lead @ TechCorp

Finally, documentation that behaves like code. The JSON-LD feeds and validation pipelines integrate perfectly with our CI/CD.

Marcus Chen

Marcus Chen

DevOps Lead

Content System: Operational

READY?

Start by reading a report, then reuse its workflow in /ai.

Voxyz – AI-Ready Knowledge Base & Workbench