Content strategy platform for B2B teams: strategy and memory before generation
TypeOrb is a content strategy platform for B2B teams with a real marketing function. B2B content strategy and company memory come first; generation comes second. AI runs the baseline; humans keep judgment.
- Invite-only alpha
- Multi-voice
- Human approval required
What is a content strategy platform?
A content strategy platform is the system a B2B marketing team uses to decide what to say — then keep saying it with continuity — before anyone generates a draft.
It is not an AI writing tool. A writer starts at a blank page. A content strategy platform starts with jobs: decide what to say, hold narrative continuity, run many voices, and produce a baseline with editorial control.
It is not a scheduler. A scheduler is timing only. Strategy before generation is the line: plan the narrative, then draft against memory, then let humans judge.
Why B2B content strategy breaks without memory
Buyers shortlist before sales. The shortlist is written in AI chat, on your site, and in social — often before a discovery call exists.
Generic AI without context produces slop: fluent, on-brand-ish, and empty. It cannot remember what the company actually believes, shipped, or promised.
The break is also structural. The people with the best insights write the least. Experts are in the work; marketing is on the hamster wheel; leadership wants authentic voices and cannot mandate them into existence.
B2B content strategy needs a place those insights live — company memory — so the baseline is grounded and humans spend judgment on the work that matters.
The bridge
Company memory
Company memory is the context stack under every plan and draft: what you shipped, what buyers said, what you are allowed to claim, and how each person actually sounds.
Narrative memory
What the company is pushing this quarter, which claims you hold the line on, and which stories already ran — so the next post continues the plot instead of resetting it.
Source memory
Recordings, docs, changelogs, whitepapers, brand guidelines, and voice samples — searchable, so drafts can be checked against something real.
Content operations
Run ingest, plan, draft, and judgment as a cadence — not a one-off prompt. Every stage pairs automated work with the smallest useful human input.
The stack: ingest → plan → draft → judge
01
Ingest
Docs, calls, changelogs, brand guidelines, and voice samples become company memory instead of scattered files.
02
Plan
Narratives land on a calendar. Competitor and topic gaps show what nobody is covering — so B2B content strategy is chosen, not improvised.
03
Draft
Concepts plus a coverage check: can the source material actually support this? Humans fill the gaps.
04
Create + Judge
Variants are written. Humans approve, edit, or reject before anything ships.
Invite-only alpha
Strategy and memory, then a baseline worth judging.
Apply for invite-only alpha. We onboard a small number of B2B teams hands-on. Editorial control stays with you.
Invite-only alpha. We onboard a small number of B2B teams hands-on while we validate the system.
By signing up, you agree to our Terms.
Baseline vs exceptional work
Daily presence is a tax. Algorithms reward consistency. That drumbeat — the LinkedIn presence that has to ship even when nobody has a breakout idea — is baseline work.
AI handles the baseline against company memory. Humans handle breakouts: the campaign, the point of view, the piece that could not have come from a calendar slot.
This is not autopilot. Human-in-the-loop is the product. Nothing ships without approve, edit, or reject.
Multi-voice is core, not a bolt-on
Content operations across people, not a single corporate megaphone.
One brand account is not enough. Buyers trust people. Employee advocacy without a program — without memory, narrative, and edit — is theater.
Marketing still edits. Voices stay on-narrative. Experts inject the insight; they do not take over the calendar. That is multi-voice as an operating model, not a posting permission.
Who it's for (and who it isn't)
For
B2B content marketing strategy
- Mid-market and larger marketing teams with a real content function
- Content Leads who own narrative, not just a publishing calendar
- Founder-led companies past the solo stage, where founder voice still matters
- Agencies running content across multiple client brands
Agencies: TypeOrb is the platform you run on, not a competing shop. Agency content memory keeps each client's knowledge, narrative, and voices separate.
Not for
Personal feeds and prompt shoppers
- Solo creators optimizing a personal feed
- Influencer personal branding
- Shoppers looking for ChatGPT-for-LinkedIn
How this differs from the usual tools
The usual tools
Scheduler
Timing only. The calendar is still yours to fill.
Individual LinkedIn toolkit
Built for one person. No company memory, no team coordination.
Generic AI writer
A blank page with a prompt box. No plan, no memory, no voices.
Suite bolt-on
A checkbox feature on a broader platform — not an operating system for content.
TypeOrb
A content strategy platform — strategy before generation
Company memory under every plan and draft
Multi-voice operations with marketing still on the edit
TypeOrb = content strategy platform + company memory + multi-voice ops.
What "good" looks like in the first 90 days
A narrative baseline across key voices — not one brand account doing all the work
Company memory fed from real sources: docs, calls, changelogs, guidelines, voice samples
An approval-queue habit: humans judge the baseline before it ships
Hands-on alpha onboarding while the system is still being proven with a small number of teams
FAQ
What is a content strategy platform?
A content strategy platform helps B2B teams decide what to say, keep narrative continuity across channels, run many voices, and produce a baseline with editorial control. It is not an AI writing tool and not a scheduler. Strategy comes before generation.
How is that different from an AI writer?
An AI writer starts from a blank page. A content strategy platform starts from company memory and a plan: what to say, in whose voice, on which narrative. AI then runs a baseline; humans keep judgment.
Do humans still approve posts?
Yes. Human approval is required. AI runs the baseline; humans approve, edit, or reject before anything ships. Human-in-the-loop is the product — not autopilot.
Is TypeOrb a LinkedIn scheduler?
No. A scheduler is timing only. TypeOrb is a content strategy platform with company memory and multi-voice operations.
Who is TypeOrb for?
Mid-market and larger marketing teams, Content Leads, founder-led companies past the solo stage, and agencies running content across brands. It is not for solo creators, influencer personal branding, or shoppers looking for a ChatGPT-for-LinkedIn tool.
How do we get access?
Invite-only alpha. Apply for access and we onboard a small number of B2B teams hands-on. You can also contact contact@typeorb.com.
Questions about access? contact@typeorb.com.
Invite-only access
Apply for invite-only alpha
Invite-only alpha. A handful of B2B teams; hands-on onboarding; humans keep the last word.
Invite-only alpha. We onboard a small number of B2B teams hands-on while we validate the system.
By signing up, you agree to our Terms.
Looking for the product overview? See TypeOrb.