ContextBolt SEO: 7-day free trial, then $35/month (1,000 monthly credits; top-ups from $9). ContextBolt Bookmarks: Free up to 150 bookmarks, Pro from $6/month. Context Board: 3-day free trial, then $6/month at launch price.
Flexible subscription, term, and perpetual licensing models. Organizations switching from conventional architectures see 60-80% reduction in total infrastructure cost. CPU-based pricing with no incremental ETL costs.
Key features
AI visibility tracking for ChatGPT and Google AI answers
Connected Google Search Console with zero credits
Web and social media bookmark management from X, Reddit and LinkedIn
Auto-syncing bookmarks across platforms
Searchable bookmark library
Private SEO Dashboard that fills automatically
Cross-session memory for research
Works with Claude, Cursor, Codex and other MCP-compatible tools
Bookmark export as CSV, JSON or XLSX on Pro plan
AI on Enterprise Data - bring AI directly to governed enterprise data at petabyte scale
Security - built-in controls for access, governance, and compliance
Deployment Options - cloud, on-premises, or hybrid deployment flexibility
Data Ingest - continuously ingest and prepare high-volume data for AI-ready analytics
Query Optimization - run complex analytics on petabytes of data with predictable performance
Semi-Structured Data - give AI richer context with structured and semi-structured data in one platform
Megalane Parallelism - sub-second queries at petabyte scale
Zero Copy Reliability - no data duplication or redundant storage overhead
Compute Adjacent Data Store - computation happens where data lives
Smart Data Pipelines - continuously governed data pipelines replace manual ETL
What makes it different
MCP-native design means nothing new to learn, with your AI as the main interface
Research stays searchable across sessions, not lost after each one
Petabyte-scale performance without moving or duplicating enterprise data
60-80% reduction in infrastructure costs compared to conventional architectures
Production-grade AI delivery with expert implementation and solutions delivery teams
Flexible licensing models aligned to how enterprise AI programs actually scale
Unified platform for ingest, governance, query execution and optimization
ContextBolt
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