Decision-Maker — Revenue / Marketing Ops

One Content Platform Instead of Five

Your GTM tech stack has a content gap. Content lives in drives, wikis, CMS tools, and chat threads — none of them connected, none of them measurable. Masset consolidates content infrastructure into one platform that integrates with everything you already use.

Masset helps Revenue and Marketing Ops leaders consolidate fragmented content tools into one platform, integrate with existing CRM/communication stacks (Salesforce, HubSpot, Slack, Teams), and provide clean engagement data for revenue attribution.

Watch a Demo See How It Works
Claude

How is our content organized and what's actually getting used?

Pulling content taxonomy and usage data...
masset.get_search_contextmasset.asset_analytics_search
Retrieved taxonomy: 14 collections, 48 tags, 287 assets. Ranked by engagement.
Content Library Overview
287 total assets across 14 collections
Top collection: Sales Enablement (68 assets, 1,240 views/month)
Lowest engagement: Brand Archive (42 assets, 12 views/month)
172 assets (60%) had zero views in the last 90 days.
Top 20 assets account for 84% of all engagement.
60% of content unused. Top 20 assets drive 84% of engagement.
Reply to Claude...
Real-World Scenarios

See It In Action

CFO wants to know what content the team actually uses — and what's collecting dust.

“What collections do we have and which ones get the most engagement?”

Outcome

Clear data on content utilization by collection. Identify 3 underperforming collections to archive and 2 high-performers to expand.

Claude

What collections do we have and which ones get the most engagement?

Listing collections and ranking by engagement...
masset.list_collectionsmasset.asset_analytics_search
14 collections found. Ranked assets by views across all collections.
Collection Engagement
Last 90 days · 14 collections
Sales Enablement
124068 assets
Case Studies
89024 assets
Product Launches
62031 assets
Brand Archive
1242 assets
Legacy Docs
338 assets
💡Top 3 collections drive 92% of engagement. Brand Archive and Legacy Docs have 80 assets with near-zero usage — candidates for cleanup.
92% of engagement in 3 collections. 80 unused assets identified.
Reply to Claude...

The team just adopted Claude and ChatGPT — need to understand what content AI tools can access via MCP.

“What content taxonomy do we have? Show me the tags and collections AI tools can search through.”

Outcome

Clear picture of how content is structured for AI access. Identify gaps in tagging that limit AI discoverability.

Claude

What content taxonomy do we have? Show me the tags and collections AI tools can search through.

Retrieving content taxonomy...
masset.get_search_context
Retrieved full taxonomy. 14 collections, 6 categories, 48 tags.
Content Taxonomy — Available via MCP
Collections: 14 (Sales Enablement, Case Studies, Product Launches, ...)
Categories: 6 (Sales, Marketing, Product, Support, Legal, Training)
Tags: 48 (healthcare, fintech, enterprise, SMB, competitive, ...)
287 assets searchable by meaning, keyword, tag, or collection.
Any AI tool connected via MCP can search this entire library.
287 assets across 14 collections — all searchable by any MCP-connected AI tool.
Reply to Claude...

Revenue leadership wants content engagement data in Salesforce for deal-level attribution.

“Show me content engagement tied to revenue for last quarter.”

Outcome

Revenue team can finally see which content is used in winning deals vs. losing deals. Content ROI becomes measurable.

Claude

Show me content engagement tied to revenue for last quarter.

Matching content engagement to closed revenue...
masset.analytics_searchhubspot.search_deals
Cross-referenced 186 content shares with 47 closed-won deals in Q1.
Content Revenue Attribution
Q1 2025 · 47 closed-won deals
Content-influenced revenue
$1.8M
Deals with content touches
38/47
Close rate lift
+38%
$620K
$440K
$380K
$240K
$120K
ROI Calculator
Security Deck
Case Studies
Battle Cards
Demo Videos
Revenue ($K)
Deals
💡Deals with 3+ content touches closed 38% faster. ROI Calculator influenced $620K across 22 deals.
$1.8M in content-influenced revenue. Attribution data ready for CRM.
Reply to Claude...
The Problem & The Solution

Before Masset vs. After Masset

Without Masset

  • Content scattered across 5+ tools — none with reliable usage data
  • No single source of truth for which content is current and approved
  • Every new AI tool means another content integration to manage
  • Can't attribute content engagement to pipeline or revenue

With Masset

  • One content platform that aggregates from all sources — no migration
  • Version control and workflows ensure content governance at scale
  • MCP provides one integration point for 14+ AI tools
  • Clean engagement data flows to your CRM for revenue attribution
How It Works

How RevOps & Marketing Ops Teams Use Masset

01

Audit and connect

Connect Google Drive, SharePoint, Notion, Slack, and other content sources. Masset aggregates without migration — your content stays where it lives.

02

Consolidate and govern

Version control and workflows ensure one approved version of every asset. No more 'final_v3' chaos across tools.

03

Integrate with your stack

Salesforce, HubSpot, Slack, Teams — Masset works inside your existing tools. MCP connects your content to every AI tool in one setup.

04

Measure and attribute

Content engagement data is clean, structured, and exportable. Tie content usage to deals, teams, and revenue outcomes.

Key Features

Built for RevOps & Marketing Ops Teams

14+ AI tools via 1 integration

35% content stack savings

4-hour setup

FAQ

Common Questions

Compare

Evaluating Alternatives?

See how ops leaders simplify content infrastructure

Get a technical demo covering integrations, MCP, analytics data, and governance controls. 4-hour setup. Month-to-month.

Watch a Demo Explore All Roles