Spike AI
Spike is an autonomous B2B marketing platform that plans, executes, and measures campaigns across content, SEO/AEO, and paid search. The system retains learnings from each campaign cycle and applies them to future decisions, allowing marketers to set objectives and approve actions rather than manage day-to-day execution. It integrates with tools like Salesforce and Google Ads to connect marketing activity with downstream business outcomes.
- Marketing Technology
- AI Agents
- Artificial Intelligence
- Advertising Technology
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
B2B marketing teams face a cycle of launching campaigns that generate attention which quickly decays, forcing them to start from scratch each time. Learnings from each campaign are scattered across dashboards, documents, and team members' heads, so the next cycle rarely starts smarter than the last. This fragmented approach prevents continuous improvement and wastes marketing spend on repeating the same mistakes.
Solution
Spike is an autonomous marketing system that builds context from a company's business data, decides what should happen next across Content + Search and Paid Search, ships the work, measures what actually happened, and carries that learning into the next decision. The platform operates in a continuous loop: it identifies the highest-value opportunity, creates or changes approved work, compares results against baseline and downstream business outcomes, and retains the judgment for future decisions. Marketers set the objective, budget, brand, and approval level, while Spike handles prioritization, execution, measurement, and memory. The system connects to tools like Salesforce and Google Ads, allowing business outcomes to override platform metrics when they conflict.
Target Audience
Primary customers are lean B2B marketing teams and forward-thinking agencies that want to shift from operating marketing to directing it, and are ready to give an autonomous system meaningful execution responsibility.
Features
- Autonomous decision engine that prioritizes marketing actions across content, SEO/AEO, and paid search based on business objectives
- Continuous learning loop that retains hypotheses, results, and account judgment for use in future campaign decisions
- Integration with Salesforce and Google Ads to measure downstream lead quality and pipeline impact, not just platform metrics
- Approval controls that let marketers choose between approving everything, approving exceptions, or granting full autonomy within defined boundaries
- Shared memory across operating surfaces, so what content marketing learns can inform paid search decisions and vice versa
- Business context builder that ingests website, CMS, brand positioning, buyer ICP, competitor data, and market signals