# Context Link vs PromptQL

Context Link records 40,191 monthly visits with -13.1% month-over-month growth and Free Trial, Paid pricing. PromptQL records 46,603 monthly visits with +59.5% growth and Freemium, Contact for Pricing pricing.

| Metric | [Context Link](https://openaitools.app/tool/context-link) | [PromptQL](https://openaitools.app/tool/promptql) |
| :--- | :--- | :--- |
| Website URL | https://context-link.ai | https://promptql.io |
| Categories | AI Research Tool, AI Agent, AI Knowledge Base, AI Productivity Tools | AI Agent, AI Knowledge Management, AI Knowledge Base, AI Assistant |
| Pricing Model | Free Trial, Paid | Freemium, Contact for Pricing |
| Monthly Visits | 40,191 | 46,603 |
| MoM Growth Rate | -13.1% | +59.5% |
| Primary Market | United States | India |
| Direct Visits | 11,232 | 21,273 |
| Review Score | 4.3 | 4.2 |
| Saved Count | 0 | 0 |
| Supported Platforms | Website | Website |

## Context Link

Context Link solves a common problem with AI assistants: your business information lives in dozens of places, and each connector only searches its own silo. Context Link connects Notion pages, Google Docs, websites, inboxes, files, and workspaces into one knowledge base that keeps sources in sync and searches everything in a single pass by semantic meaning rather than keyword match. From inside ChatGPT, Claude, Claude Code, or any MCP-aware agent, you can ask a question and get an answer grounded in your latest content, with exact sources cited.

The platform adds memory and modes on top of search. You can save settled decisions as Memories so every AI tool reads the latest version, and define Modes that weight different connections for different tasks, such as a support mode leaning on help docs and past tickets or a sales mode leaning on case studies and pricing pages. Sources re-sync and re-index every 24 hours, and anything you do not want indexed can be excluded with a click.

Context Link is available through ChatGPT and Claude integrations plus an MCP interface, and there is a developer API for embedding AI-era personalization into your own platform, including private per-customer indexes built from their websites or supplied data. Pricing starts with a 7-day free trial, a per-seat business plan, and a developer API tier priced per API user accounts.

**Pricing & Plans:** 7-day free trial. Business plan at $19 per seat per month; Developer API at $50 per month per 10 API user accounts. Cancel anytime.

- **One connected knowledge base:** Notion, Google Drive, websites, email, files, and workspaces kept in sync and searched together in one pass.
- **Source-backed answers:** Every answer cites the exact sources and past lookups are reviewable, so AI responses are verifiable.
- **Memories:** Save settled decisions as reusable memories that every AI tool reads the latest version of.
- **Modes:** Weight connections differently per task, so support leans on help docs and sales leans on pricing and case studies.
- **MCP and API access:** Works in ChatGPT, Claude, Claude Code, and any MCP-aware agent, with a developer API for custom platforms.

**Strengths:** Searches all connected sources in one pass instead of one connector at a time; Semantic search with citations and reviewable lookups builds trust; Memories and Modes add structured, task-specific context; Works directly inside ChatGPT and Claude via MCP

**Limitations:** Pricing is per seat, which adds up for larger teams; Depends on connectors that sync on a 24-hour cycle rather than instantly; Newer product, so the pre-built connection list is still growing

[Profile (Markdown)](https://openaitools.app/tool/context-link.md)

## PromptQL

PromptQL reframes AI assistance as a team sport. Rather than a single person chatting with an assistant, you spin up a bot for a piece of work — a reliability dashboard, a data quality sheet, an API spec, a monthly metrics deck, a delivery board — and invite the colleagues who actually hold the context. When the bot hits a gap, it asks the right person; when it finds an answer, it writes it back into the artifact next to the discussion.

The product's framing is that three people usually know where to look, and the bot checks all three. In its own examples, three people know what the data does not say, what the code does not say, and what the charts do not say. The bot's job is to reach those people, test their theories against the source systems, and keep the shared artifact correct rather than duplicating knowledge into yet another silo.

Technically, PromptQL bots can run continuously, work on an isolated computer with a browser, build their own tools for arbitrary APIs or databases, and create artifacts and apps. The multiplayer layer includes per-user data isolation — a user cannot ask the bot to access another user's data — editable and deletable messages in shared chat, and private bots users can spawn for sensitive work. An automatically maintained knowledge base captures what the team learns so context compounds rather than resets.

PromptQL also publishes detailed positions on shared context architecture, security, enterprise deployment and pricing, and ships an SDK for teams that want to build multiplayer AI agents themselves.

**Pricing & Plans:** Team pricing starts at $40 per paid user per month, with every user starting free and paid seats purchased in $40 increments. Enterprise considerations such as private networking, dedicated VPC and bring-your-own-cloud or bring-your-own-LLM are handled through contact with the team.

- **Bot per artifact:** Spin up a bot for a specific artifact — a dash board, data quality sheet, spec doc, metrics deck or project board — and give it ongoing responsibility.
- **Invite the humans who know:** Invite the teammates who hold the missing knowledge so the bot can ask them directly and fold their answers into the work.
- **Connected data and tooling:** Bots connect to APIs and databases, build their own tools, and run on an isolated computer with a browser when a task needs one.
- **Multiplayer controls:** Every change is logged, messages can be edited, and users cannot ask the bot to reach another user's data — designed for shared team use.
- **Enterprise deployment:** Architecture, security and deployment pages cover scoped permissions, private networking, dedicated VPC and bring-your-own-LLM options.

**Strengths:** Designed around collaborative work rather than single-user chat; Bots can draw on real data sources, APIs and databases instead of only documents; Strong emphasis on permissions, auditability and enterprise deployment options; Published SDK for building multiplayer AI agents on the platform

**Limitations:** Concept takes a mental shift if you are used to single-user AI chat assistants; Full value depends on connecting your data sources and inviting the right collaborators; Pricing is per paid user on top of a free tier, which needs planning for larger teams

[Profile (Markdown)](https://openaitools.app/tool/promptql.md)

## Frequently Asked Questions

### How do Context Link and PromptQL compare in monthly traffic?

Context Link has 40,191 monthly visits, while PromptQL has 46,603. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Context Link has a month-over-month growth rate of -13.1%; PromptQL has +59.5%.

### How does pricing compare?

Context Link: Free Trial, Paid. 7-day free trial. Business plan at $19 per seat per month; Developer API at $50 per month per 10 API user accounts. Cancel anytime. PromptQL: Freemium, Contact for Pricing. Team pricing starts at $40 per paid user per month, with every user starting free and paid seats purchased in $40 increments. Enterprise considerations such as private networking, dedicated VPC and bring-your-own-cloud or bring-your-own-LLM are handled through contact with the team.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Notion](https://openaitools.app/tool/t) | 173,441,670 | +0.1% | Freemium | The AI workspace where teams and agents get work done together | [.md](https://openaitools.app/tool/t.md) |
| 2 | [Perplexity](https://openaitools.app/tool/perplexity-ai) | 88,310,223 | -3.7% | Freemium | Real-time AI answer engine and research workspace combining live web citations with frontier reasoning models. | [.md](https://openaitools.app/tool/perplexity-ai.md) |
| 3 | [Zapier](https://openaitools.app/tool/zapier-com) | 5,065,248 | +0.4% | Freemium, Free Trial, Paid | Automate work across thousands of apps — no code required | [.md](https://openaitools.app/tool/zapier-com.md) |
| 4 | [Glean](https://openaitools.app/tool/glean) | 3,301,875 | +0.1% | Contact for Pricing | Enterprise AI grounded in your company's own knowledge | [.md](https://openaitools.app/tool/glean.md) |
| 5 | [WorkBuddy](https://openaitools.app/tool/workbuddy) | 2,341,262 | +43.9% | Freemium | An AI work partner that turns a sentence into finished office deliverables | [.md](https://openaitools.app/tool/workbuddy.md) |
| 6 | [LobeHub](https://openaitools.app/tool/lobehub) | 654,548 | -25% | Freemium | Put always-on AI agents on your team chat | [.md](https://openaitools.app/tool/lobehub.md) |
| 7 | [Dust](https://openaitools.app/tool/dust) | 547,217 | +1.8% | Contact for Pricing | Multiplayer AI where people and agents work side by side | [.md](https://openaitools.app/tool/dust.md) |
| 8 | [Taskade](https://openaitools.app/tool/taskade) | 539,714 | -9.4% | Freemium | Turn one prompt into live business apps, AI agents and automated workflows | [.md](https://openaitools.app/tool/taskade.md) |
| 9 | [DocsBot AI](https://openaitools.app/tool/docsbot-ai) | 495,278 | -3.8% | Freemium | Custom AI agents trained on your documentation and knowledge base | [.md](https://openaitools.app/tool/docsbot-ai.md) |
| 10 | [Multica](https://openaitools.app/tool/multica) | 449,583 | -1.2% | Free Trial | Project management that turns coding agents into real teammates | [.md](https://openaitools.app/tool/multica.md) |

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Source: https://openaitools.app/compare/context-link-vs-promptql

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