Spike is an autonomous marketing system that builds context from your business, 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.
Spike controls the work within the authority it is given. Neither Spike nor the marketer controls the market outcome.
A generic model knows marketing. Spike needs to know your company, your market, and what your customers actually do.
Spike identifies demand and content gaps, decides what should exist or change, creates and updates the work, publishes within the authority you grant, and measures what happens across traditional and AI search.
Spike audits the account, decides where the next move should happen, ships approved changes, and measures platform performance against downstream business quality.
What Content + Search learns can inform Paid Search. What Paid Search learns can inform Content + Search.
Incremental disqualifications skew toward lower-contract-value prospects after sales discovery.
More conversions ≠ more revenue. Contract value is part of lead quality.
Feed high-value customer signals back into paid search. Prune lower-value demand.
The dashboard informs the decision. The business gets the final vote.
Not every result becomes a universal rule. Spike retains the context around the result so it can be used when relevant.
Give Spike more autonomy as it earns your trust.
One objective. We'll show you what Spike would own, what you would control, and how the first cycles would run.