Wiki vs ContextBolt

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

Wiki compared with ContextBolt
Detail	Wiki	ContextBolt
What it does	Manage the verified knowledge, permissions, and proof behind every AI answer.	Tools that give your AI context
Stage	Not given	Startup
Founded	Not given	2026
Based in	Not given	Not given
Pricing model	Freemium	Not given
Pricing	Starter $29/month (1 workspace, 3 team members, 3 collections, 250 documents, 1 AI Application). Pro $99/month (3 workspaces, 10 team members, 20 collections, 2,500 documents, 5 AI Applications). Team $249/month (10 workspaces, 30 team members, unlimited collections, 15,000 documents, 20 AI Applicat	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.
Key features	Verified knowledge management with ownership, review dates, and source tracking Permission-based access control per AI application Citation-backed answers and source coverage checks Answer testing in Answer Playground Hosted documentation publishing with custom domains Knowledge Health scoring and monitoring Source change detection and monitoring Import and governance of existing docs and files	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
What makes it different	Separates verification and permissions from retrieval, deciding what is reviewed and safe before AI uses it Enables different AI applications to have different knowledge boundaries from one governed source Provides audit trail showing sources, verification, and permissions behind every answer Prevents AI hallucinations through source requirements and refusal when knowledge is missing Publishes documentation directly from verified sources keeping it aligned with AI knowledge	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
Free plan	Not given	Not given
Open source	Not given	Not given
Platforms	Not given	Not given
Public API	Not given	Not given
Community votes	0	0
DR (Domain Rating by Ahrefs)	26 +1 (up) since last check	46 no change since last check
Trust Flow (Majestic)	21	9
Citation Flow (Majestic)	19	35
Referring domains (Majestic)	13	258

4 details filled in for both companies.

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