My AskAI transforms your existing help documentation, website, and support content into a live AI customer support agent that can answer questions around the clock. Rather than relying on a fixed FAQ or keyword matching, it uses semantic search and large language models to understand the intent behind a customer’s question and respond with a precise, grounded answer drawn directly from your knowledge base.Documentation Index
Fetch the complete documentation index at: https://mintlify.com/arainey2022/myaskai-docs/llms.txt
Use this file to discover all available pages before exploring further.
How Indexing Works
When you add content to My AskAI, it is scraped or uploaded and then vectorized — converted into numerical representations that capture the meaning of the text. This allows the agent to perform semantic search: it doesn’t just look for exact keywords, it understands context and intent.Add Your Content
Connect your website URLs, help center, file uploads, or integrations. My AskAI scrapes and processes the content automatically.
Vectorization
Each piece of content is embedded into a vector store, enabling semantic similarity search across your entire knowledge base.
Retrieval
When a customer asks a question, the agent identifies the 6 most relevant pieces of content from across all your knowledge sources simultaneously.
Supported Content Sources
My AskAI supports a wide range of content types so you can train the agent on everything your team already knows.View all supported content types
View all supported content types
Websites
- Any publicly accessible website URL — pages are scraped and kept in sync automatically.
- PDF, DOCX, XLSX, CSV, TXT, MD, RTF, TSV, PPTX
- Google Drive (up to 10 MB per file)
- OneDrive (up to 10 MB per file)
- Dropbox
- SharePoint
- Notion
- Confluence
- Zendesk knowledge articles
- Intercom knowledge articles
- Freshdesk knowledge articles
- Salesforce
- Shopify pages, products, and customer data
- Historic Zendesk and Intercom tickets can be used to generate knowledge snippets that fill gaps in the agent’s knowledge base.
Answer Generation and Source Citations
The agent retrieves up to 6 relevant content chunks from across your entire knowledge base when generating a response. A single answer may draw from one article or from several — whatever is most relevant to the specific question. Source citations are included so customers and your team can see exactly which content the answer was drawn from. This builds trust and makes it easy to verify or improve answers over time.My AskAI is designed to avoid hallucination. It will only answer based on content you have explicitly added. If relevant knowledge isn’t present, the agent will say so and offer escalation rather than fabricating an answer. Use the Improve tools to close those gaps over time.
Handling Knowledge Gaps
When the agent cannot confidently answer a question, it doesn’t guess — it takes one of the following actions depending on your configuration:Human Escalation
The agent offers to connect the customer with a human agent via your live chat integration (Zendesk, Intercom, Freshdesk, HubSpot, and others).
Escalation Data Collection
Before handing off, the agent collects relevant details — name, email, issue description — conversationally, so your team has context when they pick up the conversation.
Auto-Handover
For ticketing integrations, you can configure automatic handover when the AI can’t answer, so customers never see an “I don’t know” response.
Knowledge Gap Logging
Every unanswered question is logged under Improve → Knowledge Gaps so you can review and add the missing content.