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When someone opens your agent — as a chat bubble, an inline iframe, or the hosted share link — they get the same polished chat experience. Knowing exactly what a visitor sees helps you set up the right welcome message, suggested questions, and appearance. This page walks through the chat from their side. Everything here is visitor-facing. You configure most of it from the agent’s Agent UI screens — see Appearance and Message customization.
The visitor chat window showing the header, an assistant answer, and the message input bar

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Opening the chat

How visitors enter depends on how you embedded the agent:
Entry pointWhat the visitor does
Chat bubbleClicks the floating button (labeled Open chat) to expand the window; clicks again to minimize.
Inline iframeThe chat is already visible, embedded in your page.
Share linkOpens the agent on its own full-page hosted screen at chat.a2v2.ai.
If you’ve turned on the auto-show welcome message, the bubble can open with your greeting after a short delay.

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The first thing they see

A new visitor lands on a welcoming starting view, which can include:
  • A welcome message — the greeting you set in Message customization.
  • Suggested questions — tappable chips of starter questions. A visitor can click one instead of typing, which is often how a conversation begins. You define these as the agent’s suggested messages.

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Asking a question and getting an answer

The visitor types in the Ask a Question box and sends with the Send button (or Enter). As the agent works, they see live status indicators rather than a frozen spinner:
IndicatorWhat it means
Thinking…The agent is reasoning about the question.
Processing…The agent is working through the request.
Refining response…The agent is improving an in-progress answer.
N tools usedThe agent ran tools or skills to answer.
The answer then streams in word by word, so visitors start reading immediately instead of waiting for the whole reply. Answers are formatted (headings, lists, links, tables), and any links open in a new tab.
Answers are drawn from the agent’s knowledge base. The agent only answers from what you’ve given it, which is what keeps responses grounded and on-topic.

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Acting on an answer

Each answer carries a few lightweight controls so visitors can react without leaving the conversation:
ActionWhat it does
Copy messageCopies the answer text to the clipboard.
LikeA thumbs-up to mark the answer as helpful.
DislikeA thumbs-down to mark it unhelpful.
If you’ve enabled feedback collection on a dislike, the visitor is asked to say what went wrong — “Please tell us what went wrong with this response” — in a short Feedback box. That feedback flows back to you so you can spot weak answers and improve the knowledge base.

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Sending more than text

Depending on what you’ve enabled for the agent, visitors can also:
Visitors use Attach file to add a document or image for the agent to consider in the conversation. The file uploads (showing Uploading…) and then becomes part of the question’s context.This is available only when you’ve turned on file uploads for the agent. The setting notes the supported types and size limit (PDFs, documents, and images, up to 5 MB per file) — see the Sandbox settings in Test your agent.

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Picking up where they left off

The chat keeps a visitor’s conversation history in their browser, so returning visitors don’t start from scratch:
  • New Chat starts a fresh conversation.
  • A History list (with Search chats…) lets them reopen earlier conversations, grouped as Today, Yesterday, Previous 7 Days, and so on.
  • Conversations persist for that visitor on that browser, even across page reloads.
History is tied to the visitor’s browser. Someone on a different device or browser starts a new history — unless they sign in to a restricted or paid agent, which ties the conversation to their verified identity.

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The A2V2.ai branding

The chat shows a small Agent by A2V2.ai mark in the footer, and each answer is tagged with an “AI Agent” label and timestamp. This tells visitors they’re talking to an AI assistant, which keeps the experience honest and sets the right expectations.

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Tips

  • Write a warm, specific welcome message and 3–5 suggested questions — they’re the first thing visitors see and the easiest way to start a good conversation.
  • Match the chat’s appearance to your brand so the bubble feels native to your site. See Appearance.
  • Use the dislike feedback visitors leave to find gaps in your knowledge base and refine answers over time.

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Troubleshooting

Suggested questions only appear if you’ve added them. Set them in Message customization.
Both are per-agent settings. Enable Allow file uploads in chat and Allow voice input in chat in the agent’s Sandbox settings.
History is stored in the visitor’s browser. Clearing site data, switching devices, or using a private window starts a fresh history. For history that follows a person across devices, use a restricted or paid agent so visitors sign in.
The agent only answers from its knowledge base. Add the missing information as a source so future visitors get an answer.

Message customization

Set the welcome message and suggested questions.

Appearance

Style the chat to match your brand.

Restricted & paid access

What sign-in and paywalls look like to visitors.

Install on your platform

Add the chat to your website.