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MagicAI Chatbots
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Chatbots (327)

MagicAI Chatbots Verified Tool

MagicAI Chatbots is a platform for creating AI assistants grounded in business content for website support and lead engagement.

Last Update: August 20, 2026

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Starting price Free + from $19/mo

Tool Information

MagicAI Chatbots is a platform for creating AI assistants grounded in business content for website support and lead engagement.

Organizations add approved sources, configure consent and escalation, restrict actions, test hallucinations and prompt injection, monitor conversations, and keep humans responsible for policy, sales, and support commitments.

Free limited access is available and paid access starts from $19 per month; bots, messages, sources, integrations, and billing period vary.

Chatbots can invent policy, expose indexed data, collect excessive personal information, or follow malicious prompts. Grounding, privacy, security testing, logs, and human escalation are essential.

F.A.Q (3)

MagicAI Chatbots is a platform for creating AI assistants grounded in business content for website support and lead engagement.

Organizations add approved sources, configure consent and escalation, restrict actions, test hallucinations and prompt injection, monitor conversations, and keep humans responsible for policy, sales, and support commitments.

Verified pricing: Free + from $19/mo. Free limited access is available and paid access starts from $19 per month; bots, messages, sources, integrations, and billing period vary.

Pros and Cons

Pros

  • Magic AI creates document-grounded chatbots without requiring code
  • Web pages can be scraped into a bot’s knowledge base
  • PDF; Word; Excel; PowerPoint; and Markdown uploads are supported
  • Notion and Google Drive connections simplify knowledge import
  • Google Docs and Slides can contribute shared organizational content
  • A website widget turns internal material into customer self-service
  • Public links allow a bot to be shared without embedding it
  • Team invitations support collaborative knowledge maintenance
  • Employees can search across aggregated company documents conversationally
  • Education users can ask questions over a collection of course files
  • Researchers can query several uploaded papers from one hub
  • Custom branding makes an embedded bot fit the host website
  • Major-language support enables multilingual knowledge bases
  • A free plan requires no payment card to begin
  • Demo bots let buyers inspect the interaction style
  • API documentation offers an integration path beyond the no-code interface

Cons

  • The term training may overstate what is usually retrieval over uploaded documents
  • A grounded bot can still combine passages into an unsupported answer
  • Website scraping can ingest stale; hidden; duplicated; or legally restricted content
  • Spreadsheets and presentations often lose structure during text extraction
  • Conflicting documents need explicit authority and version rules
  • Public bot links can expose information intended only for employees
  • Team permissions require regular review when staff roles change
  • Uploaded research may be copyrighted or subject to data-use restrictions
  • Encryption alone does not establish compliance with every industry requirement
  • Source citations and answer-level evidence should be tested before deployment
  • A bot cannot infer a policy that has never been documented
  • Large knowledge bases may produce slower or less relevant retrieval
  • Multilingual answers depend on the quality of both source and model language support
  • Customer questions can introduce personal data into conversation logs
  • Free-plan limits may be insufficient for a real website audience
  • Human escalation and content-governance processes are still required

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