Self-service support
Answer repeat product, policy, account, and how-to questions from an approved knowledge base.
Independent tool overview
Chatling at a glance
Chatling is a no-code customer-support platform for building AI agents grounded in company content, deploying them across web and messaging channels, and handing unresolved conversations to people.
Visit the official Chatling site ↗
- Product type
- No-code AI customer-support platform
- Channels
- Website, WhatsApp, Instagram, Telegram, and Messenger
- Knowledge sources
- Websites, sitemaps, URLs, files, text, FAQs, Zendesk, and Zoho
- Human support
- Live-chat handoff with conversation context
- Languages
- 80+
- Model choice
- OpenAI, Anthropic, Gemini, xAI, Mistral, DeepSeek, and others
- Free plan
- $0 with 200 AI credits per month
- Paid plans
- $25, $75, or $295 per month before annual discounts
- API access
- Included from Starter
Overview
What Chatling is
Chatling lets businesses build AI support agents from websites, sitemaps, URL lists, documents, text, FAQs, Zendesk, and Zoho content. Agents can answer questions on a website, WhatsApp, Instagram, Telegram, and Messenger, capture leads, route conversations to live agents, and run configured actions such as API requests, booking widgets, or emails.
The platform is strongest when the knowledge base has clear owners, scheduled refreshes, and tested escalation rules. It should not be treated as a set-and-forget replacement for support: model responses can still be wrong, stale, or unsafe, and actions that write to external systems need narrowly scoped credentials, validation, rate limits, logging, and human approval for consequential effects.
Use cases
Who Chatling is best for
The strongest fit depends on the job you need the product to complete, not the size of its feature list.
Omnichannel teams
Manage AI and human conversations across a website and supported messaging networks.
Lead capture
Collect prospect details, qualify intent, show calls to action, and route high-value conversations.
Small support teams
Provide after-hours answers while preserving a clear path to human help.
Multilingual support
Serve international visitors without maintaining a separate scripted bot for every language.
No-code automation
Connect bookings, email, forms, and external APIs without building the entire chat stack from scratch.
Capabilities
Core Chatling features
Visual agent builder
Design chatbot flows and AI responses through a no-code interface.
Grounded knowledge base
Retrieves relevant information from approved business sources before generating an answer.
Website and sitemap import
Crawls selected pages or uses a sitemap for larger sites, with up to 1,000 pages through the website source.
Document and text sources
Processes PDFs, DOCX, TXT, pasted text, and curated FAQs as agent context.
Help-center imports
Imports selected or complete knowledge articles from Zendesk and Zoho.
Knowledge auto-sync
Paid plans can refresh link-based sources weekly or daily depending on tier.
Omnichannel inbox
Unifies supported website and messaging conversations for AI and human support.
Live-chat handoff
Escalates unresolved chats to a person with context and an AI-generated summary.
AI actions
Agents can display forms or buttons, call external APIs, show Cal.com booking, and send email.
Model selection
Teams can switch among many hosted models to trade off response quality, speed, and credit cost.
Analytics and CSAT
Tracks conversations, contacts, geography, busy periods, questions, and—on eligible plans—satisfaction.
Routing and collaboration
Assigns handed-off conversations to teams or agents, with round-robin distribution on Growth.
Customization
Matches the widget to brand styling, with custom domains and branding removal available by plan or add-on.
Developer API
Paid plans can manage agents and knowledge workflows programmatically through Chatling's API.
Process
How the Chatling workflow works
Step 1
Define supported intents
List the questions the agent may answer, the actions it may take, and the cases it must escalate.
Step 2
Clean the source material
Remove contradictions, expired policies, private data, and unsupported claims before ingestion.
Step 3
Build the knowledge base
Add only authoritative websites, documents, FAQs, text, and help-center collections.
Step 4
Choose a model and guardrails
Test accuracy, latency, languages, tone, refusal behavior, and credit consumption on real support questions.
Step 5
Configure safe actions
Use least-privilege API credentials, validate inputs, restrict methods and destinations, and require confirmation where needed.
Step 6
Set human handoff
Define confidence, sentiment, account, safety, billing, and legal triggers that route to a person.
Step 7
Pilot before broad deployment
Run adversarial and multilingual tests, verify citations or source grounding, and inspect every external action.
Step 8
Monitor and improve
Review failed answers, CSAT, unresolved intents, action logs, credit use, source freshness, and escalations.
Cost
Chatling pricing and free plan
Chatling uses monthly AI credits, with each response consuming a model-specific amount. Annual billing lowers the advertised effective monthly price. Add-ons can increase credits, knowledge capacity, agents, seats, domains, or branding control, so the real cost depends on response volume and model choice.
Free
$0/month
Entry plan for testing one AI agent with a small knowledge base.
- 200 AI credits
- 1 AI agent
- 1 seat
- 500,000 knowledge-base characters
- 2 actions per agent
Starter
$25 monthly or $21/month annual
Small-team plan with broader models, API access, customization, analytics, and weekly sync.
- 1,750 AI credits
- 2 AI agents
- 2 seats
- 10 million knowledge-base characters
- 4 actions per agent
- Annual billing is $250
Growth
$75 monthly or $63/month annual
Growing support plan with daily knowledge sync, CSAT, and round-robin routing.
- 6,000 AI credits
- 5 AI agents
- 5 seats
- 30 million knowledge-base characters
- 7 actions per agent
- Annual billing is $750
Scale
$295 monthly or $246/month annual
Higher-volume tier with more credits, agents, seats, knowledge capacity, and included branding removal.
- 35,000 AI credits
- 7 AI agents
- 10 seats
- 100 million knowledge-base characters
- 12 actions per agent
- Annual billing is $2,950
Add-ons
From $2/month
Optional capacity and branding upgrades added to the subscription.
- 1,000 AI credits: $10/month
- 1 million knowledge characters: $2/month
- Extra AI agent: $3/month
- Extra seat: $10/month
- Remove branding: $35/month
- Custom domain: $10/month
Pricing checked . Check current pricing at the source ↗
Assessment
Chatling strengths and limitations
Where it stands out
- Combines AI self-service and live human support instead of forcing an all-bot workflow
- Supports a broad mix of website, document, FAQ, and help-center knowledge sources
- Deploys across major web and messaging channels from one platform
- Offers many model choices with explicit per-response credit costs
- Includes no-code actions for lead forms, booking, email, and external APIs
- Provides a usable free plan without requiring a credit card
- Adds daily source sync, CSAT, routing, and team capacity as plans scale
- Publishes an API, DPA, subprocessor list, and data-handling terms
- States that customer content is not used by its model providers for training
- Supports more than 80 languages for international customer service
What to consider
- AI credits are not equivalent to conversations; each response consumes a model-specific number of credits
- The most capable listed models can consume many times more credits per answer than lower-cost models
- Free knowledge capacity, file size, customization, actions, and team features are limited
- Advanced automation, analytics, voice input, and API access require a paid plan
- Removing Chatling branding costs extra below Scale
- Link auto-sync runs weekly on Starter and daily on Growth or higher, so source changes are not necessarily immediate
- Uploaded documents, pasted text, and FAQs are static until manually updated
- An agent can still hallucinate, misapply a policy, or answer from stale and contradictory content
- Multilingual fluency does not guarantee correct legal, technical, or culturally appropriate support
- HTTP actions can send, modify, or delete external data depending on the configured method and credentials
- Email and other actions can create spam, privacy, authorization, or irreversible customer-service mistakes without guardrails
- The business remains responsible for lawful collection, consent, retention, accuracy, and deletion of customer personal data
- The DPA permits multiple infrastructure and AI subprocessors, so teams should review locations and requirements before sensitive use
- Chatling's public Privacy Policy is dated 2023 even though its DPA and subprocessor materials are newer
- Deleting an uploaded source file after processing does not mean every extracted knowledge representation or conversation record is immediately gone
- Support promises, billing adjustments, refunds, and service levels depend on the current contract rather than the marketing page
- High-stakes health, legal, financial, safety, identity, account-access, and payment issues should route to trained people
- A successful launch requires ongoing transcript review, source ownership, action monitoring, and escalation staffing
Compare
Chatling alternatives
The right alternative depends on the specific output, workflow, controls and budget your project requires.
Business Operations
Chatbase
Choose Chatbase for another focused platform that builds support agents from company data and deploys them to websites.
Explore Chatbase →Business Operations
ChatBotKit
Choose ChatBotKit for a more developer-oriented conversational AI platform with APIs and custom integration options.
Explore ChatBotKit →Business Operations
Intercom Copilot
Choose Intercom Copilot when AI assistance needs to live inside an established Intercom support workspace and agent workflow.
Explore Intercom Copilot →Questions
Chatling FAQs
What is Chatling?
Chatling is a no-code AI customer-support platform for building knowledge-grounded agents, deploying them across web and messaging channels, and handing conversations to people.
Is Chatling free?
Yes. The Free plan includes 200 monthly AI credits, one agent, one seat, 500,000 knowledge-base characters, and two actions per agent.
How do Chatling AI credits work?
Credits are consumed when the agent generates an AI response. The exact number depends on the selected model, so 1,000 credits do not equal 1,000 replies.
What data can train a Chatling agent?
Supported sources include websites, sitemaps, URL lists, PDF, DOCX, TXT, pasted text, FAQs, and selected Zendesk or Zoho help-center content.
Which channels does Chatling support?
Chatling currently promotes deployment on websites, WhatsApp, Instagram, Telegram, and Messenger, with conversations managed through a unified support platform.
Can Chatling hand a chat to a human?
Yes. It supports live chat and human handoff with conversation context, plus routing and round-robin distribution on eligible plans.
Can Chatling take actions?
Yes. Configured actions can collect leads, display buttons, call external APIs, open Cal.com booking, and send email. Each action should have strict inputs, permissions, and escalation rules.
Does Chatling use customer data to train AI models?
Chatling's terms state that customer content, data sources, and chatbot inputs and outputs are not used by its listed AI providers to train their models.
How often does the knowledge base update?
Link sources can be re-synced manually. Starter includes weekly auto-sync, while Growth and Scale include daily auto-sync. Static documents, text, and FAQs require manual changes.
What should I test before publishing a Chatling agent?
Test real and adversarial questions, unsupported requests, multiple languages, stale policies, privacy boundaries, escalation triggers, model costs, and every external action before broad deployment.
Bottom line
Our Chatling verdict
Chatling is a practical all-in-one option for teams that want grounded AI support, multiple customer channels, human handoff, and no-code actions without assembling separate vendors. Its pricing is approachable, but buyers should model costs in credits per response—not chats—and treat content freshness, action security, privacy, and human escalation as ongoing operating responsibilities.
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