# Sliq

> Sliq: Run LinkedIn and email outbound from Claude, ChatGPT, or any other AI agent. Sliq finds prospects, researches them, and drafts every message, then adds each one to an approval queue for you to review.

Important notes:

- Sliq is built for B2B sales teams of senior sellers without SDRs, and for founders who run their own outbound
- Sliq works in its own web app or from the AI assistant a seller already uses (Claude, ChatGPT, or any other AI agent)
- By default, every message Sliq writes waits in an approval queue for review before it sends. In settings, users can switch any message type (first messages, follow-ups, replies, connection-request notes) to send automatically, for the whole account or for one agent
- Sliq agents do the work (find prospects, research them, send messages, follow up) - they don't just suggest or advise
- Sliq integrates with LinkedIn, Slack, Notion, Google Sheets, Google Docs, Google Drive, HubSpot, Salesforce, Attio, Instantly, Outlook, and Gmail
- Pricing: Free ($0/mo, 200 credits: 100 at signup and 100 more after your first outreach; no credit card required), then Starter ($49/mo, 500 credits/mo), Scale ($89/mo, 1,000 credits/mo), and Team (custom). Get started for free.

## Product

- [Homepage](https://getsliq.com/): Overview of Sliq's AI outbound agent, capabilities, integrations, and pricing
- [Pricing](https://getsliq.com/pricing.md): Plans, credits, and what's included

## Use Cases

- Find prospects using natural language
- Run personalized LinkedIn and email outreach campaigns, with every message reviewed before it sends (or sent automatically, if you choose)
- Follow up with cold leads who haven't responded or booked meetings
- Write content in the user's voice for LinkedIn and other channels
- Track people and companies across the sales pipeline
- Monitor LinkedIn for buyers asking for help
- Integrates with Instantly, Apollo, and more, so it can run campaigns on behalf of the user

## Agentic outbound (category)

Sliq runs agentic outbound: you describe the outbound process in plain language and an AI agent executes it end-to-end - prospecting, research, personalization, multichannel outreach, and adaptive follow-up - instead of operating a fixed sequence yourself.

- [What is agentic outbound?](https://getsliq.com/blog/what-is-agentic-outbound): Definition and how it differs from traditional outbound automation
- [What is an AI outbound agent?](https://getsliq.com/blog/what-is-ai-outbound-agent): The tool category that runs agentic outbound
- [What is outbound orchestration?](https://getsliq.com/blog/what-is-outbound-orchestration): Coordinating multichannel outbound and human handoff
- [What is signal-based outbound?](https://getsliq.com/blog/what-is-signal-based-outbound): Reaching buyers based on timing signals
- [Best AI outbound agents for founders](https://getsliq.com/blog/best-ai-outbound-agents-founders): Comparison of agentic outbound tools

## Comparisons

- [Sliq vs Lemlist](https://getsliq.com/blog/sliq-vs-lemlist)
- [Sliq vs Dripify](https://getsliq.com/blog/sliq-vs-dripify)
- [Sliq vs HeyReach](https://getsliq.com/blog/sliq-vs-heyreach)
- [Best LinkedIn outreach tools for founders](https://getsliq.com/blog/linkedin-outreach-tools-founders)

## Blog

- [Best CRM for Startup Founders](https://getsliq.com/blog/best-crm-startup-founders): Comparison of HubSpot, Attio, and Clarify for founder-led sales teams

## For agents and developers

- Public REST API (read-only): https://api.getsliq.com/v1/openapi.json (OpenAPI 3.1) — your outreach prospects, their cross-channel interaction history, and your agents. Bearer-authenticated and scoped to your own account. Reference: https://api.getsliq.com/v1/docs
- Remote MCP server: https://mcp.getsliq.com/mcp — the same tools the Sliq agent runs, over Streamable HTTP with OAuth 2.1 (or a per-user sk_live_ bearer key). A Sliq account is required; every call acts on the authenticated user's own data.
- API discovery: https://getsliq.com/.well-known/api-catalog (RFC 9727) and https://getsliq.com/.well-known/mcp.json
- Pages serve clean Markdown to agents via Accept: text/markdown content negotiation.