CSML is an open-source language and conversational engine designed for development teams to build intelligent, maintainable, and scalable chatbots.
Developer & AI Platformcsml.devTracked since 2026-08-211 discovery source
467Backlinks
127Referring domains
18Domain authority
-14.6%Referring domains · 90 days
Authority & distribution
How strong is CSML’s web footprint?
Backlinks measure accumulated distribution; referring domains show how broadly that authority is spread. Both are observable on the open web, so both are published for every product here.
Backlinks
467Current snapshot
Referring domains
127Current snapshot
Authority
18Domain authority · category median 22
90-day move
-14.6%Referring domains, last 90 days
At 18, CSML sits below the 22 median for its category.
Trajectory · Pro
The counts above are the latest of 370 daily observations. The curve through them is on the full profile.
Traffic makes more sense when you can connect it to the actual product promise.
“CSML”
CSML is an open-source language and conversational engine designed for development teams to build intelligent, maintainable, and scalable chatbots.
Developer & AI PlatformSeen 2026-08-21 → 2026-08-21Coverage tier C
What we have measured
4 of 8 signal groups are available for this product: identity, authority and backlinks, AI referrals, search demand.
Not measured for this domain: traffic and engagement, audience demographics, country distribution, acquisition mix. Those sections are left out of the page rather than filled with estimates.
Canonical website: https://www.csml.dev
Observed across 1 discovery source.
Research questions
What the evidence answers about CSML.
Every answer is tied to a source we collected, and the questions with no evidence behind them are left unanswered rather than guessed.
What does CSML offer in terms of features and capabilities?
CSML offers features including a domain-specific programming language, a conversational engine with built-in short and long-term memory, powerful context management, and integrations with other systems through HTTP APIs. It also provides real-world examples for common use cases.
How is CSML priced or packaged?
CSML is an open-source project, which is a model of distribution rather than traditional pricing. The evidence states it is an open-source language and engine, with a community available on Slack.
What is CSML and what problem does it solve?
CSML is an open-source conversational automation framework and programming language for building intelligent, maintainable, and scalable chatbots. It provides an expressive syntax and a conversational engine with built-in memory and context management to simplify chatbot development.
What is CSML used for and in what situations?
CSML is used to develop next-generation chatbots for tasks like keeping website visitors engaged, converting visitors into users with sign-up forms, providing recommendations, and connecting chatbots to third-party applications. It is designed for building conversational agents in minutes.
Who is CSML for?
CSML is designed for development teams, including both beginners and professional chatbot developers. Its syntax is described as easy to learn and master, making it accessible for creating powerful conversational agents.
What is CSML?
CSML is an open-source language and conversational engine designed for development teams to build intelligent, maintainable, and scalable chatbots. It is categorized as a developer and AI platform tool.
Behind the lock
Unlock full CSML intelligence.
Backlink trajectoryThe figures above are the latest observation. The daily curve behind them holds 370.
AI referral detailHow much traffic assistants send.
Search structure and ranking depthOrganic against paid, brand against non-brand, and how many keywords rank in the top three against the long tail — which is what decides whether the demand is portable or tied to the name.
The rest of the marketPage through every leaderboard 100 rows at a time, put any five products side by side, and query the whole dataset over API / MCP.
Worldwide estimates · Data period 2026-05-01 → 2026-07-31. Figures are measured estimates intended for market research. Signals we have not measured for this domain are omitted, never estimated; a measured zero is still reported as zero. How this was measured