Capability

GTM kernel

The machine-readable GTM record every agent reads before it acts.

One kernel, four agent families. Every agent reads the kernel before it acts.

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A slice of the governed GTM record every agent reads.
ICP tier
[segment · firmographic]
Positioning claim
[the claim]
Proof point
[evidence + source]
Competitive claim
[vs. alternative class]

What is a GTM kernel?

A GTM kernel is a machine-readable record of a company's go-to-market (ICP, segments, positioning, offers, proof points, competitive claims, objection answers) that AI systems read before acting. [Product]'s kernel adds [differentiator], so every agent shares one governed source instead of ten conflicting ones.

How does the kernel work?

The lifecycle that makes “source of truth” credible: how the record is built, who governs changes, and which systems read it.

  1. 01

    Ingestion

    [How the record gets built, and from what sources.]

  2. 02

    Versioning & approval

    [Who governs changes: the story that makes 'source of truth' credible.]

  3. 03

    Consumption

    [Which agents + external surfaces read it: APIs, MCP.]

What does the kernel actually hold?

The entity types visible in a record: a subset, never the whole brand.
ICP tier
[segment · firmographic]
Positioning claim
[the claim]
Proof point
[evidence + source]
Competitive claim
[vs. alternative class]
Objection answer
[the response]
Brand context
[a governed subset, never the headline]
Same prompt: generic agent output vs. kernel-grounded output.

Before

Generic
[bland, off-positioning output]

After

Kernel-grounded
[on-ICP, on-claim output]

What jobs does the kernel power?

Every other capability grounds on this record before it acts.

Who controls what the kernel says?

Frequently asked questions

Who can change what's in the kernel?
[The governance model: roles that propose, review, and approve changes; every change versioned.]
How do agents read it, API or MCP?
[The consumption surfaces: APIs and MCP, with permission scopes per agent.]
Does the kernel train your models?
[Pointer to the training answer on /platform/ai-and-data-trust/. OWNER-BLOCKED §12.2.]

See the machine on your own GTM

[What happens next, one line under each path: the mechanism you just read, run on your data.]

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