Documentation
Welcome to Content Hub
Learn how to plan, create, and optimize content for AI visibility with Infrasity Content Hub.
Managing your content pipeline shouldn't take a dozen spreadsheets and guesswork about what's actually working. It should be simple, connected, and clear enough to show you exactly how your content performs, from the first outline to its visibility in AI search results.
Content Hub is a content operations platform built to help teams plan, publish, and measure content in one place. With sprint-based planning, AI traffic tracking, and generative engine optimization (GEO) insights, Content Hub brings together the editorial, SEO, and AI-visibility contexts that modern content teams need.
This documentation will walk you through everything you need to get started, from planning your first sprint to monitoring how AI models like ChatGPT, Gemini, Perplexity, and Claude cite your content. It's designed for content, SEO, and marketing teams who want tighter planning cycles, clearer performance visibility, and stronger AI search presence.
What Content Hub Helps You Do
Content Hub is built for teams who need to:
- Plan and track content in time-bound sprints, from outline to publish
- Monitor SEO and AI crawler traffic alongside traditional search performance
- Understand how often AI models cite your content, and where the gaps are
- Benchmark AI visibility against competitors across shared topic clusters
- Audit content and documentation for AI readiness and generative engine optimization
- Turn performance data into a clear roadmap of what to write next
There's no need to rebuild your workflow or juggle separate tools for planning, SEO, and AI visibility. Content Hub sits on top of your existing content and search data, and gives you one connected view to plan, publish, and optimize.
Key Features
Dashboard
An overview of everything that matters: content published, sprint progress, top-performing content, and AI referral activity, in a single view.
Sprints
Plan and track content in time-bound work cycles. Each sprint groups planned topics and tracks progress, status, keywords, and publishing metrics.
Referrals
A centralized SEO and AI traffic dashboard pulling from Google Search Console and GA4: clicks, positions, sessions, and AI crawler visits.
Sources
A centralized directory of every blog and content source associated with your site, scanned and listed automatically.
Dev Intelligence
Measures how AI search engines and coding agents interact with your developer documentation and APIs.
GEO Dashboard
Tracks how often your site is cited as a source by AI models. Breaks down citation rate by topic cluster and flags content gaps.
Competitors
Measures your share of AI citations against direct rivals and general web domains, ranked by usage share and recommendation position.
Recommendations
Actionable suggestions for closing content and visibility gaps, based on uncited prompts and underperforming topics.
Who It's For
Teams across content, SEO, and marketing use Content Hub. If you're in any of the following roles, you'll likely find value on day one:
- Content and editorial teams planning and tracking work across sprints
- SEO leads monitoring organic and AI-driven search performance
- Marketing leaders benchmarking AI visibility against competitors
- Developer marketing and docs teams optimizing for AI crawlers and coding agents
What You'll Need to Get Started
To get the most out of Content Hub from the start, you'll need:
- A connected website or blog source so Content Hub can scan and track your published content.
- Google Search Console and GA4 access: these feed the Referrals dashboard with clicks, positions, sessions, and AI crawler traffic data.
- A clear sense of your first sprint's timeline and the topics you want to track.
Next, create your first Sprint and add your initial topics, or connect your blog source to start tracking existing content.