GTM moves daily. Your AI is stuck on the last quarter.
Your go-to-market moves fast - new positioning, new campaign, a deal that shifted yesterday. Your AI knows none of it, so every draft starts with you catching it up. Unabyss gives every AI tool you use the live picture of what's actually happening across your GTM.
Connect your stack - freeClaude is AI and can make mistakes. Please double-check responses.
Pipeline report without re-briefing the CRM
You used to paste deal notes, Slack threads, and HubSpot exports into a chat just to get a pipeline view. Ask once and Unabyss pulls top deals, risks, bottlenecks, and split actions for sales vs leadership.
The problem GTM teams feel every day
Context changes every week
New positioning, a fresh campaign, a deal that moved yesterday. The picture shifts constantly, and keeping every tool current is a job in itself.
Every AI tool starts blank
Open any assistant and it knows nothing about the brand, the account, or what shipped. You re-explain it all before you get a usable draft.
Your tools are strangers
You run ChatGPT for some work and Claude for others - what you built up in one is invisible to the next, so the team re-briefs each tool from scratch.
What changes, moment to moment
Marketing report without stitching the context
You used to pull analytics, Slack threads, and campaign notes into a chat before you could see what was urgent. Unabyss surfaces the funnel leak, live tests, and split actions for you vs the team.
Claude is AI and can make mistakes. Please double-check responses.
Performance ads grounded in live positioning
Your brief used to lag what changed this week - new ICP notes, a positioning shift, channel learnings. Unabyss pulls product context and what's working before the A/B variants get written.
Audience strategy built on who actually converts
Meta can't see your CRM, so ad targeting usually runs on guesses. Unabyss pulls your real ICP - best customers, ACV bands, and what triggers a close - so the segments and lookalikes mirror who actually buys.
Claude is AI and can make mistakes. Please double-check responses.
Outbound cadences aimed at real buying signals
Generic sequences blast the wrong accounts. Unabyss grounds your ICPs, buying signals, and disqualifiers in real deals - so the email, LinkedIn, and call cadences target the prospects most likely to close.
One context, every tool you use
You use ChatGPT for some things and Claude for others - Unabyss makes sure both know what's happening across your GTM. The full picture follows you into every AI tool, and into your automations in Make, n8n, and Zapier.
Connect your first sourceBuilt for how GTM teams actually work
- Connect once - every AI tool pulls the live GTM picture on demand.
- Works across the tools you already use: Claude, ChatGPT, and more - plus Make, n8n, and Zapier.
- Stays current automatically from your real sources - campaigns, CRM, docs, calls, Slack.
- Covers the full picture - brand, product, accounts, conversations, what changed this week.
- Granular, per-app permissions - you decide what each tool can see.
- Export everything as Markdown anytime. No lock-in.
Your context. Your rules.
You own it.
Unabyss is an independent context layer - not memory trapped inside one vendor. Plug in any agent, connect any source, and take your context anywhere.
Granular permissions.
Per-app, per-file - share what's relevant, withhold the rest.
Never sold.
Never used to train models. Your context stays yours.
Comparing something else?
Weighing Unabyss against another way of giving AI context?
Built-in memory is useful, but it's trapped in one tool - what ChatGPT learns stays in ChatGPT, and Claude's memory can't help Cursor. Unabyss is a context layer you own, served to every AI tool over MCP.
Read the full comparisonContext for every GTM move
Connect a source and every draft, reply, and prep already knows what's happening across the team.