CASE STUDY — AI CONTENT OPERATIONS
A-Stats: one operating surface for content, SEO, and AI visibility.
A-Stats connects keyword discovery, AI-assisted drafting, editorial optimization, WordPress publishing, social distribution, Search Console signals, and answer-engine visibility in one product workflow.
Signals
What this project proves.
WorkflowEnd-to-end
From keyword opportunity to published content.
SearchSEO + AEO
Traditional ranking and answer-engine readiness.
PublishingWordPress
Direct publishing with metadata and structure.
StatusLive
Product available at a-stats.app.
Challenge
Content teams lose the growth loop between disconnected tools.
Keyword research, drafting, SEO checks, publishing, social distribution, and performance analysis often happen in separate products. Context is copied manually, brand guidance drifts, and teams struggle to connect output with search results.
Approach
Design around the complete content lifecycle.
A-Stats treats content as an operating system rather than a text generator. The workflow moves from opportunity discovery through structured drafting and optimization to WordPress publishing, distribution, Search Console feedback, and answer-engine tracking.
Result
A product proof for integrated AI operations.
The platform demonstrates how an AI workflow can retain brand context while coordinating research, creation, publishing, and measurement. It is a working example of the systems Proworks builds: focused, integrated, and connected to an operational outcome.
Stack
Tools and operating surface.
TypeScript
AI model orchestration
WordPress integration
Google Search Console
SEO/AEO scoring
Knowledge Vault
Social scheduling
build pattern
Need this kind of system in your own stack?
Bring the workflow and the constraints. I’ll map the smallest production system worth shipping.
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