B2B Companies
Pipeline you can defend in the board meeting.
For B2B firms whose buyers now research with AI before they ever take a call: demand generation, GEO for buying-committee questions, and attribution that survives finance review.
What we see in your market
Buyers doing 80% of research before contacting sales — increasingly via AI
MQL theater: volume metrics that don't convert to pipeline
Long sales cycles breaking last-click attribution entirely
Thin content losing AI citations to better-structured competitors
The playbook
How we grow b2b.
- GEO for category and comparison prompts your buyers actually ask
- Demand-gen programs measured on pipeline and closed-won, not MQLs
- ABM-lite for defined account lists without enterprise-tool overhead
- Sales-marketing attribution modeling across the full cycle
Agentic AI, purpose-built for b2b
Account Research Agent
Builds briefing docs on target accounts — trigger events, tech stack, hiring signals — before every sales touch.
Inbound Enrichment Agent
Enriches, scores, and routes every inbound lead with firmographic context in real time.
What could this look like for your business?
Adjust the numbers to your operation. Benchmarks are industry averages — your strategy call gets you real projections.
Illustrative model based on b2b benchmarks (cost per lead ≈ $250, customer lifetime factor ×2). Not a guarantee of results.
Engagement model
Industrial services firm, $15M revenue
- Category-question content cited by AI engines
- Pipeline-stage attribution replacing MQL counting
- Target-account program for 200 named accounts
Illustrative engagement model — replace with client data.
Ready to own your b2b market?
A 30-minute strategy call. No pitch deck, no pressure — a straight read on where you're losing visibility and what it's worth to fix it.