A well-organized content library helps the AI find the right materials faster and ensures your sales team always has access to current, relevant content. Here's how to structure and maintain your library for maximum effectiveness.
Folders and categories
Folders provide the primary structure for your content library. Think of them as the main buckets that make sense for how your team works.
Recommended folder structure
- Product - Feature docs, specs, release notes, demos
- Competitors - Battle cards, comparison sheets, win/loss analysis
- Case Studies - Customer stories organized by industry or use case
- Pricing - Rate cards, discount guidelines, ROI calculators
- Training - Onboarding materials, best practices, playbooks
- Templates - Email templates, proposal frameworks, scripts
Keep your folder structure relatively flat. Two or three levels deep is usually enough. Too many nested folders make content harder to find and maintain.
Tags for flexible organization
While folders create rigid categories, tags let you cross-reference content in multiple ways. A single document can have many tags, making it discoverable through different paths.
Effective tag categories include:
- Industry tags - Healthcare, Finance, Retail, Manufacturing
- Deal stage tags - Discovery, Demo, Proposal, Negotiation
- Persona tags - C-Suite, Technical, End User, Procurement
- Content type tags - Video, One-Pager, Whitepaper, Template
- Product tags - Specific products or features covered
Example
A healthcare case study might have these tags:
Industry: Healthcare | Stage: Proposal | Persona: C-Suite | Type: Case Study | Product: Enterprise Platform
This lets the AI surface the case study when a rep is working a healthcare deal, preparing a proposal, talking to executives, or discussing your enterprise product.
Removing outdated content
Old content is worse than no content. If the AI surfaces outdated pricing, deprecated features, or former competitor information, it erodes trust in the entire system.
Build a regular review cadence:
- Monthly - Review competitor battle cards and pricing materials
- Quarterly - Audit case studies and check if customers are still referenceable
- After product launches - Update all product documentation and remove obsolete specs
- After pricing changes - Immediately update or remove old rate cards
Tip: Use the "Last Updated" filter in your content library to find documents that haven't been touched in 6+ months. These are prime candidates for review.
Best practices for content management
Beyond structure, a few habits keep your library healthy:
Do this
- Use clear, descriptive file names (not "Final_v3_updated.pdf")
- Add descriptions when uploading to help the AI understand context
- Assign a content owner responsible for each major category
- Archive rather than delete when possible, preserving history
- Set calendar reminders for regular content audits
Avoid this
- Uploading duplicate versions of the same content
- Using inconsistent naming conventions across the team
- Leaving outdated content "just in case"
- Creating tags that only one person understands
- Letting the library grow without periodic cleanup
View tracking and analytics
Revian tracks how content is used, giving you insights to improve your library over time.
The Content Analytics dashboard shows:
- View counts - How often each piece of content is accessed
- Who accessed what - Which reps are using which materials
- AI suggestions - How often content is surfaced by the AI vs. manually searched
- Deal outcomes - Content associated with won vs. lost deals
- Search gaps - Queries that returned no results, indicating content needs
Use these insights to identify your most valuable content, find gaps in your library, and understand what materials correlate with successful outcomes.
Note: Content analytics are available on Team and Enterprise plans. Contact your account manager to enable this feature.
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