Stonly

French publisher of interactive guides and contextual help, turning support articles into step-by-step in-app flows

Relation client & support

Overview

Stonly is a knowledge management platform that turns help articles into interactive step-by-step guides, decision trees and contextual flows displayed directly in the app, rather than static pages to read. It adds a self-service widget, AI-generated replies from existing content and an MCP connector to plug external assistants. No price is published: the pricing page presents two offers, Small Business oriented toward autonomous setup and Enterprise for larger volumes, each directing to a demo or commercial conversation, with no amount displayed. Price thus depends on the scope negotiated, requiring a sales interaction to scope a budget.

Stonly is published by a French company based in Paris and the site language selector does offer French; the official help center exists in complete French version, easing onboarding by a French-speaking team. On hosting, developer documentation states that calls by default go through a European entry point, an instance hosted in a US data center only being used on explicit request, which is a useful argument for a GDPR file. The open API covers exporting and organizing guides and folders, querying AI replies and provisioning team members and groups, with version management and rate limits; over sixty ready-to-use connectors are announced, including Zendesk, Freshdesk, Salesforce, ServiceNow and Intercom. A widget API lets you drive display from site code. The main limit remains lack of public pricing, coupled with the design work required for guides to stay current.

Our verdict

Best for French teams who want to guide the user step-by-step in the product rather than serve them an article to read, with a Paris-based publisher and European hosting by default. Not for you if you want a simple help center published quickly: building decision trees takes time, and no price is displayed.

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Stonly: pricing, review and alternatives — librairy.io