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." 48% of marketing-generated leads never get a single sales follow-up. Only 15% of MQLs ever convert to SQL. Every handoff creates friction when marketing and sales don't share a definition of qualified.
AI has flooded every B2B channel with content. Volume is no longer the advantage; distribution and system are. Personal LinkedIn generates up to 8× more engagement than company pages. And 51% of B2B software buyers now start their research in an AI chatbot more often than 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 routinely undercount 40–70% 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.
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| 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 | Warm intros + founder-led LinkedIn | Targeted 1:1 outbound | Paid |
| Traction | LinkedIn + one gated asset | Basic nurture email | Multi-channel |
| Validation to PMF | LinkedIn + small paid test | Webinar / event | Heavy events |
| PMF to Scaling | Full demand gen engine | Partner / referral | Scaling every channel at once |
| Scaling to SME | Category authority content + analyst/PR | Enterprise ABM pilot | Founder-led only |
| SME at Scale | Full ABM for the new ICP | Customer expansion / advocacy | Legacy ICP channels |
| 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.