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GigaRevDiagnose the constraint
Review the manual process, its audience, the quality baseline, and the bottleneck. Select one bounded task before choosing automation.
GigaRev / AI B2B marketing
AI B2B marketing.
Built around the buyer.
Make research, content, and campaign delivery work together. We help B2B teams put AI around a real marketing bottleneck—with approved knowledge, specialist judgment, and people responsible for what reaches the buyer.
Where we can help
When the work needs connection,
not another content generator.
Your team has product knowledge, campaign ideas, and revenue tools. The gap is often between them: research does not reach the brief, approved content is hard to reuse, and the campaign handoff loses context. Start there rather than multiplying drafts no one can review.
- 01 / A use-case and evidence map
Choose the buyer question and workflow worth improving. Inventory approved product facts, customer evidence, and the sources your team can legitimately use.
- 02 / A reviewed content-to-campaign workflow
Scope account research, content adaptation, campaign briefs, or follow-up preparation. Define draft fields, templates, review owners, and channel handoffs.
- 03 / A practical evaluation plan
Test factual accuracy, audience relevance, reviewer effort, and downstream use. Treat business impact as something to measure—not a result to promise.
How we work together
Start with a use case.
Prove it is worth operating.
Build for review
Connect the agreed sources and outputs. Keep inferred context visible and require review of claims, brand, privacy, and the proposed next step.
Evaluate and decide
Inspect accepted work, corrections, time, cost, and qualified response. Expand, revise, or stop based on evidence.
Decision rights stay clear
People own
the consequential decisions.
AI does not supply missing proof, grant permission to contact someone, or make unverified claims safe. Model access, integrations, publishing rights, and delivery volumes are scoped for the engagement. The site’s demonstrations do not run live AI or campaigns.
What we measure
Evidence we can inspect.
Depending on scope: accepted briefs, substantive correction rate, end-to-end review time, qualified conversations, and progression into accepted opportunities. Include human effort and campaign context when interpreting results.
Scope, delivery responsibilities, integrations, third-party costs, and ongoing support are agreed before implementation.
Understand the engagement modelBefore we begin
A little more
clarity.
Do we have to replace our marketing stack?
No replacement is assumed. Discovery establishes which current sources and tools can support the workflow, subject to API access, permissions, and data quality.
Will AI publish or send campaigns on its own?
The default approach keeps a human approval boundary around external content and consequential actions. Any further automation needs an explicitly agreed policy and tested controls.
Is this a software subscription?
This is a scoped service and implementation discussion, not a self-serve AI subscription. Deliverables, third-party costs, ownership, and operating support are agreed before delivery.
Connected capabilities
Let’s move your business forwardWhere does growth
Where does growth
need to go next?
Bring us the challenge. We’ll help define the experience, the capabilities, and the first move worth making.
Discuss your growth prioritiesA focused conversation. A practical starting point.