AI marketing software for B2B marketing teams
Win the AI marketing era.
Grow inbound by 300% in 30 days.
AI-native marketing solutions built by legendary B2B GTM strategists.
The TSC® GTM stack comprises more than a dozen business-to-business tools for sales and marketing, but…
It all starts with the Kernel.
This is the machine behind the marketing.
A living, breathing source of truth for your go-to-market strategy. Machine-readable via a typed JSON-Schema/Pydantic data model, a documented REST API with OpenAPI, and an MCP server (60+ tools) any AI agent can query or write to over stdio or streaming HTTP. Integrate it with any system in your GTM stack or simply plug it into Claude and talk to your GTM strategy. The Kernel is also our system of record for creating AEO strategy, generating copy and creative at scale and creating autonomous systems that execute with the full knowledge of your always-up-to-date GTM strategy. Expand a domain to see what it holds.
Kernel Health
3,440 of 4,580 applicable fields populated
GTM Launchpad
8/8 complete- ✓CompetitorsReview auto-discovered competitors
- ✓Product Research57 agents map your offerings, value
- ✓Buyer Research62 agents infer your ICP, demand states
- ✓Market Position43 agents map your category, framing
- ✓Identity & Voice125 agents distill your brand, messaging
- ✓Knowledge Governance76 agents map your documentation
- ✓Employee Experience48 agents map the internal story
- ✓Review & ValidateReview AI-populated fields, confirm
Health Breakdown
- Field Coverage(20%)84%
All critical fields present
- Data Depth(10%)93%
Weakest: employee_experience (0%)
- Record Richness(10%)92%
Weakest: employee_experience (0%)
- Data Confidence(25%)87%
654 fields with provenance metadata
- Data Freshness(20%)100%
All data is fresh
- Data Consistency(15%)100%
No contradictions detected
Company Profile5 of 5 sections populated90889290100100
- Name & LocationPopulated
- Company OverviewPopulated
- LeadershipPopulated
- Digital FootprintPopulated
- Market ConfusionPopulated
Product5 of 5 components populated85929885100100
- GTM ModelPopulated
- Essential ValuePopulated
- OfferingsPopulated
- PackagingPopulated
- Commercial ProofPopulated
Radical Buyer6 of 6 components populated851009885100100
- ICPPopulated
- Demand StatesPopulated
- Context & TriggersPopulated
- Jobs to Be DonePopulated
- ObjectionsPopulated
- Buyer DocumentsPopulated
Market Landscape4 of 4 components populated8810010088100100
- Solution CategoryPopulated
- CompetitorsPopulated
- Choice FactorsPopulated
- Market DocumentsPopulated
Identity7 of 7 components populated781009178100100
- Brand VoicePopulated
- MissionPopulated
- Message IdentityPopulated
- Visual IdentityPopulated
- Brand KitPopulated
- AI Content RulesPopulated
- Identity GuardrailsPopulated
Knowledge Governance3 of 3 components populated80676780100100
- CorpusPopulated
- MetricsPopulated
- ConstraintsPopulated
Employee Experience7 of 10 components populated67726867100100
- PurposePopulated
- Values & BeliefsPopulated
- CulturePopulated
- Employer BrandPopulated
- Total RewardsPopulated
- GrowthPopulated
- DEI & BelongingPopulated
- EngagementNeeds data
- LeadershipNeeds data
- RecognitionNeeds data
Kernel Integrity
Domain intelligence coverage across your GTM kernel
Recommendations
Actionable steps to improve your kernel health
Your Employee Experience domain is at 67%. This powers purpose, values, culture, employer brand, rewards, and engagement. Run research agents or fill in the components to strengthen it.
Competitive intelligence has not been refreshed in 13 days. Visit the competitors page and deploy the research agents to update your competitive intelligence.
You have 25 AI-populated fields awaiting your review. Your data confidence is currently at 87%. Confirming these will boost it.
Your Identity domain is at 78%. Almost there.
Top High-Threat Competitors
All-in-one 'customer platform' bundling CRM and marketing automation into one suite.
AI-first CRM; leads on automation breadth and a deep partner ecosystem.
Digital-transformation arm of a global consultancy moving into GTM tooling.
Brand and demand agency positioned on 'relevance' and integrated creative.
Outcome-based B2B integrated marketing and PR firm with analyst ties.
From zero to running
Setting up your Kernel is easy.
Answer ten questions about your company and competitors.
Press the run button.
The agentic GTM platform does the rest.
Connect to Claude or any other system in your martech stack.
Works with your stack
Our software integrates with…
The Kernel is machine-readable, so anything in your stack can read or write it: every major LLM, your CRM, your agents, and the infrastructure underneath.
LLMs & foundation models
- Claude
- OpenAI / ChatGPT
- Google Gemini
- Perplexity
- Llama
- Mistral
- Cohere
- Vercel AI Gateway
Agents & clients
- Claude Desktop
- Claude Code
- MCP (any client)
- Cursor
- n8n
- Zapier
CRM & sales
- HubSpot
- Salesforce
- Apollo
- Clay
- Instantly
- Gong
- Prospeo
- Cal.com
Analytics & SEO
- GA4
- Google Search Console
- PostHog
- Ahrefs
- SEMrush
- DataForSEO
- SerpAPI
- AlsoAsked
- BuzzSumo
- Brave Search
- Firecrawl
Content & media
- Cloudinary
- ElevenLabs
- HeyGen
- YouTube
- Webflow
- WordPress
Infrastructure & subprocessors
- Vercel
- Railway
- MongoDB
- Upstash Redis
- Vercel Blob
- Resend
- Twilio
- LiveKit
- Clerk
- Sentry
What is [company]?
[Company] is a [category] that [does what] for [whom]. It [mechanism]. Unlike [alternative class], it [differentiator]. A self-contained 40–60 word answer with no dependence on any preceding block.
The current way
[Where the incumbent approach fails, specific enough that a competitor could not sign their name to it.]
Our point of view
[The falsifiable claim about how it should work instead.]
[One external stat with a named source + date, if it supports the POV.] See the research →
How does [company] work?
Autonomy level: [copilot / assisted / supervised agent / autonomous]. A human approves [what] before anything ships.
- 01
Input
[You hand it a real artifact: a URL, a segment, a brief.]
- 02
Reasoning
[It runs the named steps and grounds each in evidence.]
- 03
Human checkpoint
[A person reviews and approves before anything ships.]
- 04
Output
[It writes the finished work to your system of record.]
The audit trail, for one real task
- 01 · Input received[a campaign URL / segment definition]
- 02 · Checks performed[named step 1 → step 2 → step 3]
- 03 · Evidence cited[source or record ID, with a link]
- 04 · Confidence / flag[what it was unsure about]
- 05 · Human checkpoint[what a person approved, and who]
- 06 · Output written to[system of record · which field]
See what it produces
Real, anonymized output: the thing produced, not the app that produced it.
[Artifact type A]
- [field]
- [value]
- [field]
- [value]
- [field]
- [value]
[Artifact type B]
- [field]
- [value]
- [field]
- [value]
What you can do with it
[Outcome 1]
[what the buyer gets]
[how the system does it]
One concrete specific: [a number / named integration / time-to-value].
[Outcome 2]
[what the buyer gets]
[how the system does it]
One concrete specific: [a number / named integration / time-to-value].
[Outcome 3]
[what the buyer gets]
[how the system does it]
One concrete specific: [a number / named integration / time-to-value].
The results, with the receipts
“[A real quote about the outcome: specific, not an adjective.]”
- † [dataset · n · evaluator · date] · methodology →
- † [dataset · n · evaluator · date] · methodology →
- † [dataset · n · evaluator · date] · methodology →
The questions IT, legal, and procurement ask
Will it hallucinate, and how do we verify output?
[grounding + verification mechanism, in 1–2 plain sentences]
Where does our data go, and does it train your models?
[explicit yes/no on training + data residency]
What does a human control, and can we audit it?
[the human checkpoint + the audit trail]
What happens when it's wrong, and who's accountable?
[correction path + accountability + SLA]
Find your job to be done
FoundationOne source of truth for your AI[One governed, versioned GTM record every agent reads: ICP, positioning, proof, claims.]Questions buyers ask
What does [company] actually do?
[40–60 word chunk-independent answer.]
What does it cost, and what drives the cost up?
[name the usage unit; the honest answer.]
What does it not do?
[the honest boundary. Builds more trust than avoiding it.]
How long does implementation take?
[typical time-to-value.]
Does our data train your models?
[explicit yes/no.]
What happens to our data if we cancel?
[export + deletion policy.]
Two ways to go deeper
B2B AI marketing tips and tricks in your inbox every week.
Talk to someone who's implemented this at [peer company type].
[One trust badge or one-line proof beneath the pair.]
Last updated [dateModified]