Clarm

What is Clarm?

Clarm is an AI inbound conversion engine that captures visitor questions across a website and communication channels, responds immediately, and routes qualified buying intent to the right place. Its core purpose is to turn inbound conversations into pipeline automatically—without requiring a human sales desk to be available 24/7.

Clarm is designed to support both human and AI-agent interactions. For humans, it serves conversations through web chat, and for AI agents it provides discovery and structured interaction via llms.txt and MCP, along with developer-facing interfaces for intent signals and conversation history.

Key Features

• Inbound capture across human channels: Captures every visitor question across your website and communication channels mentioned on the site (including Discord, Slack, and GitHub) so conversations don’t get dropped when you’re offline.
• AI responses with real-time qualification: Sends an immediate response to inbound questions and tags revenue intent in real time based on what the visitor (or an agent) types.
• Intent-based routing: Flags high-intent conversations and routes humans and automation outputs to reduce manual triage and focus team time on revenue-bearing interactions.
• AI-agent discovery and structured queries: Supports AI agents using llms.txt (agent discovery) and MCP (structured agent queries), enabling tighter integration between inbound intent and automated systems.
• Webhooks and APIs for system integration: Provides webhook events for real-time intent signals and offers developer interfaces including REST API access for conversation history and analytics, plus a native integration path to systems like Slack and CRMs listed on the site.

How to Use Clarm

1. Set up Clarm using the self-serve flow referenced on the site (“10 seconds to get started”).
2. Connect your inbound surfaces (e.g., your website chat and the channels you use such as Slack, Discord, and GitHub) so Clarm can capture visitor questions.
3. Connect downstream systems using the integration methods shown (e.g., webhooks, REST API, or native integrations like Slack and HubSpot/Salesforce) so intent events can reach sales/support workflows.
4. Use llms.txt and MCP (if applicable) to let AI agents discover your offering and query for structured information.
5. Review conversation history and intent signals via the outputs available through webhooks/API to see which inbound moments are driving qualified buyer conversations.

Use Cases

• Website inbound that would otherwise bounce: A visitor lands with a pricing or rollout question, sees “email us,” and leaves; Clarm instead captures the question and responds immediately so the visitor can move forward.
• 24/7 coverage for inbound-heavy teams: Support or revenue teams that are offline overnight can reduce reliance on live chat staffing by having Clarm handle repeat questions and respond instantly.
• Slack/Discord workflows for high-intent leads: When Clarm detects pricing inquiries or buying signals, it can route the qualified moment to Slack channels (or other connected systems) for timely follow-up.
• Developer-first onboarding via agent ecosystems: Teams using developer tooling can expose structured discovery and queries through llms.txt and MCP so AI agents can interact with relevant information and trigger actions based on intent.
• Understanding which visitors are evaluating: Clarm supports “visitor deanonymization” (as described on the site) and intent tagging so teams can identify evaluation activity before a visitor submits a form.

FAQ

Does Clarm handle both human and AI-agent interactions?
Yes. The site describes serving humans via chat while enabling AI agents through llms.txt and MCP.

How does Clarm route inbound conversations?
Clarm tags revenue intent in real time and flags high-intent conversations so they can be routed to connected teams/systems.

What outputs are available for developers and systems?
The site lists webhook events for real-time intent signals and access to conversation history and analytics via API. It also mentions llms.txt for agent discovery and an MCP endpoint for structured agent queries.

Which channels does Clarm support?
The site explicitly mentions website chat plus Discord, Slack, and GitHub.

Is there a way to integrate Clarm with CRMs?
The page lists native integrations including Slack, HubSpot, and Salesforce.

Alternatives

• Live chat and visitor tracking tools: These typically focus on human staffing and messaging, whereas Clarm emphasizes automated immediate responses and intent qualification/routing.
• Sales engagement or lead capture platforms: These can capture leads from forms and events, but they don’t inherently provide AI responses to visitor questions in the moment across the channels described.
• Customer support automation/bot platforms: Support bots can answer questions, but Clarm’s positioning is specifically toward converting inbound into pipeline with real-time buyer intent tagging and routing.
• API-first AI agent platforms: If your goal is to build agent workflows, an agent platform can be an alternative; Clarm bundles inbound capture and intent signaling across the channels described with webhook/API outputs.