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A CRM the AI reads before it writes anything.

This replaces the sales CRM that is more than a company your size needs. Contacts, companies and activities live in one place, built to be read and written by the AI running your marketing. When it drafts an email, routes a chat reply or answers a question, it reads the full history first.

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What it replaces

A sales CRM is built for a team to work a pipeline. This one is built for the AI to read before it writes.

A sales CRM
Giant Context

What a record holds

Fields someone on your team fills in.

Identity, tags, custom fields, consent, and every page view, email open, form, chat message and search the apps log on their own.

Who reads it

Your sales team, in the CRM.

The AI, before it drafts an email, routes a chat reply or answers a question. And you, from your own LLM client over MCP.

Anonymous visitors

Invisible until they fill in a form.

What they read before they gave a name is merged into the contact the moment they do.

Deal stages, forecasting, quotas

Companies and duplicates

Companies aggregate their contacts into an account view. Duplicates are merged.

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Dark-themed CRM interface with an Add Contact dialog open over the contacts table, showing empty fields for name, email, phone, job title, department, status, lead source and tags.

Built to be read by the AI

Each contact carries identity data, an engagement score, tags, custom fields and consent preferences. Add one by hand, import them, or let a form create them. Everything the other apps learn about that person lands on the same record.

Dark-themed dashboard showing an email sends table with queued status, timestamp, email name and contact for each send.

Every interaction on one timeline

Open a contact and you see the whole history: every page viewed, email opened, form submitted, chat message, and Knowledge Base search. Each activity is timestamped and attributed to the app that logged it. Ask for a summary and the AI writes one from the timeline on demand.

A ChatGPT window with the prompt to connect to the Giant Context MCP server and run the welcome tool.

Ask it a question from your own LLM

Connect Claude, ChatGPT or any MCP client and it reads the CRM directly. Ask "who at Acme has been active this month and not emailed since June" and it answers from the contact and activity records, with the context attached, without you opening a dashboard.

From anonymous to known, without losing the trail

A visitor reads before they ever give you a name. When they submit a form, the CRM resolves them to a contact and merges their earlier anonymous activity, so the first email the AI drafts already knows what they read.

Where the edges are

If one of these is a dealbreaker, better to know now.


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.

Give the AI a memory of every contact

Ask for early access. Import a few contacts or let a form create them, then ask the AI a question about them in plain English and see what it already knows.

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