Context Hub

The Context Hub is the central brain of your MarketCore workspace. It stores all the background information, brand guidelines, and product details that the AI uses to generate high-quality, relevant content. By managing your context effectively, you ensure that every deliverable stays on-brand and factually accurate.

1. Initial Setup: The "Cold Start"

When you first create your MarketCore account, the system automatically kickstarts your Context Hub. MarketCore scans the top ~20 pages of your provided website URL to analyze your company's messaging.

  • Automatic Extraction: It instantly identifies your core products, target audiences, and brand voice.
  • Foundation Creation: This data is used to populate your initial Brand Foundations and Targeting Dimensions, so you're ready to generate relevant content from day one.

2. Reference Library

The Reference Library is the home for your team's shared knowledge. It contains background materials and business context that are generally applicable to your organization.

  • What goes here? Competitor analysis, general industry reports, whitepapers, and past successful marketing assets.
  • How it works: Content in the Reference Library is automatically indexed and made available to the AI when it needs general background information.

Adding Context to the Library

MarketCore provides flexible ways to expand your library:

  1. Direct Text Input: Paste text directly into the hub to create a new context item instantly.
  2. Upload Files: Upload documents (.pdf, .docx, .pptx, .xlsx, .txt, .md, .csv, images, and transcripts) which are automatically converted into text context.
  3. Add Website URLs:
    • Enter a website URL to discover available pages.
    • Select the specific pages you want to import as context.
    • Refresh Relevancy: You can re-scan these URLs at any time to keep your context current with your live site.
  4. Add Existing Deliverables:
    • Turn your winning content into training data.
    • Navigate to any Deliverable and set its status to Ready using the toolbar.
    • Click the Add to Reference Library checkbox in the top toolbar to instantly verify it as a reference item.

3. Brand Foundations

Brand Foundations act as the "constitution" for your content. Unlike general reference items, the Brand Foundations ride along with every single AI prompt, ensuring consistent tone and style across all deliverables.

Key components include:

  • Company Profile: Who you are and what you do.
  • Brand Voice: The personality of your brand (e.g., professional, witty, authoritative).
  • Writing Style: Grammatical and stylistic rules (e.g., active voice, specific terminology).
  • Examples: Gold-standard examples of your content used to train the AI on your specific brand voice and writing style.

Tip: Keep your Brand Foundations up-to-date to ensure the AI always writes like your best copywriter.

4. Targeting Dimensions

Targeting Dimensions allow you to categorize your business context into three specific buckets:

  • Products: The specific goods or services you sell.
  • Personas: The specific audience segments you target (e.g., "CTO at a Fintech startup").
  • Industries: The market verticals you start.

Why use them? When you create a new deliverable, you can specify which Product, Persona, and Industry it targets. MarketCore then intelligently retrieves the most relevant context tagged with those dimensions. This ensures that a whitepaper for a "Healthcare CTO" uses different context than a blog post for a "Retail Marketing Manager."

5. Context Collections

Context Collections allow you to group specific context items together for on-demand use. This is perfect for specialized knowledge that shouldn't be included in every generation but is critical for specific projects.

  • Shared/Team Collections: Visible to everyone in the team. Great for "Product Launch X" materials or "Q3 Financial Data."
  • Private Collections: Only visible to you. Useful for personal research or drafting ideas before sharing them.

6. Relevancy & Tags

MarketCore automatically analyzes every item you upload to the Context Hub and assigns Relevance Tags based on your Targeting Dimensions.

  • Auto-Tagging: The system reads your content and tags it (e.g., "Relevant to Product A" and "Targeting CTO").
  • Smart Retrieval: When you generate content, the AI looks for items with tags that match your target audience, ensuring hyper-relevant results.
Scroll to Top