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The follow-up writes itself from the contact's history

Capturing a lead is half the job. Every email opened, every chat, every form and every page visit lands on one contact record. The AI reads that record, drafts the next email, answers questions in chat, and turns the questions people keep asking into knowledge base articles. Nothing sends until you approve it.

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Three apps, one contact record

Email

The AI drafts the email and picks who gets it and when, from the contact record. You approve before it sends.

Chat

The AI answers visitor questions from your knowledge base and website content, and hands the conversation to a person when the rules you set say so.

Knowledge base

Questions that keep coming up in chat become draft articles. You approve them and the chat starts answering from them.

Every interaction lands on one timeline

Most marketing automation fails for lack of memory. The email tool does not know what the contact asked in chat last week, so the follow-up is generic. Here the opens, the chat transcripts, the form submissions and the page visits all land on the same contact timeline, and that timeline is what the AI reads before it drafts anything.

The record, the draft and the handover

Screenshot of the Giant Context CRM with an Add Contact dialog open over the contacts table, showing the identity, status, lead source and tag fields a contact record carries.

The contact record

Name, company, status, lead source and tags go on the record when it is created. The opens, chats, forms and page visits attach to the same record as they happen. For a prospect who read the pricing page and then asked about the token price in chat, the next draft is about the token price, not a newsletter.

Screenshot of the Giant Context email builder with subject line and content settings.

The draft waits for you

The AI writes the subject line, the body and the layout in the same visual builder you would use by hand. The draft sits in your emails list until you open it, change what you want and approve it. Nothing goes out on its own.

Screenshot of the Giant Context chat settings where the rules for escalating a conversation to a person are set.

Chat that knows when to hand over

The AI answers from your knowledge base and website content, and it can see the same record the email side reads, so it knows what the visitor has already been told. You set the rules for when a conversation goes to a person. The transcript goes with it, so nobody repeats themselves.

How a question becomes an article

A knowledge base goes stale because nobody has time to write the article for the question that came up three times this week. Here the AI reads the chat transcripts, notices the questions that keep recurring, and drafts the article. You approve it, and from then on the chat answers from it.


BuiltAutonomously With AI
This content was built autonomously. Giant Context analyzed the site, determined what was missing, created and submitted an idea and draft, which Giant Context staff accepted and published.

Read the next email before it sends

Ask for early access. Add a few contacts and read the first follow-up the AI drafts for one of them.

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Nurture - AI Engages and Follows Up | Giant Context