Most B2B marketing can't tell you which channel produced a deal. The content team and the revenue team never share a definition of what qualified means.
The same pattern at every B2B stage: channels run, leads come in, revenue doesn't follow.
Marketing defines an MQL as "downloaded a whitepaper." Sales defines qualified as "confirmed budget and active timeline." Every handoff creates friction. 53% of B2B companies have broken handoffs where sales follows up on fewer than 35% of marketing-generated leads.
AI has flooded every B2B channel with content. Volume is no longer the advantage; distribution and system are. Personal LinkedIn generates 8× more engagement than company pages. And 51% of B2B buyers now start their research in an AI chatbot, not Google. Traditional content funnels built around SEO and gated PDFs miss this audience entirely. The AI chatbot doesn't submit your lead magnet form.
B2B deals with 90+ day cycles miss 30–60% of LinkedIn-influenced pipeline in standard attribution windows. Marketing can't prove pipeline contribution. Budget decisions get made on incomplete data, and the wrong channels get cut.
Every stage has a different leak. The AI intervention is specific to yours.
| Criterion | Weight | Threshold | Status |
|---|---|---|---|
| Job title matches buying persona | 25 | CEO / CRO / VP Sales | Required |
| Company size in ICP range | 20 | 10–200 employees | Required |
| Visited pricing or demo page | 30 | 1+ visit | Strong signal |
| Engaged 2+ content pieces | 15 | Same 30-day window | Warm |
| Trigger signal detected | 10 | Funding · hire · launch | Boosts priority |
| Post type | Format | Audience | Goal |
|---|---|---|---|
| Named framework | 5-slide carousel · structured argument | ICP + referral network | Authority |
| POV post | 150 words · one strong take | Buyers + founders | Engagement |
| Signal-triggered | 80 words · news response | Warm ICP accounts | Conversation |
| Case milestone | Before/after · results-led | Prospects + customers | Social proof |
| Stage | Primary channel | Secondary | Avoid |
|---|---|---|---|
| Pre-Seed → Traction | LinkedIn personal (founder-led) | Email outbound | Paid |
| Traction → PMF | LinkedIn + one gated asset | Basic nurture email | Multi-channel |
| Validation → PMF | LinkedIn + small paid test | Webinar / event | Heavy events |
| PMF → Scale | Full demand gen engine | Partner / referral | Compound all |
| Channel | MQLs | Pipeline influence | Verdict |
|---|---|---|---|
| LinkedIn outbound | 38 | 62% | Scale |
| Gated content | 21 | 24% | Optimise |
| Paid search | 14 | 9% | Review |
| Referral / partner | 6 | 18% | Invest |
| Cold email | 9 | 3% | Cut |
We review your channels, content output, MQL definition, and handoff process. We identify exactly where leads are leaking, and what attribution data you're missing to prove it.
MQL definition co-built with sales. LinkedIn and GEO content system. Channel strategy calibrated to your stage. Attribution framework wired to your CRM. Specific to your pipeline, your tools, your stage.
MQL scoring AI qualifies and routes leads automatically. Content AI generates and tests variants. ICP AI rescores your audience from real engagement. Attribution AI connects spend to closed revenue.
From this point every lead is scored automatically, every channel's contribution is visible, and marketing and sales share one definition of qualified. The funnel compounds; it doesn't reset each month.