What is an AI marketing agent?
A working definition, the difference from automation, and the checklist that separates a real agent from a chatbot with opinions.
Articles on where marketing is going, playbooks you can run today, and reports on what the data says - written by the team building the agents.
A working definition, the difference from automation, and the checklist that separates a real agent from a chatbot with opinions.
Generative engine optimization, step by step: measure your presence, fix citability, earn authority, and hold the cadence.
What teams are actually running, the patterns that work, and where the governance gap still bites.
One number for how often assistants name you when your buyers ask. How to compute it, and what moves it.
Signals, fit, verified contacts and grounded personalization - the pipeline loop an agent can run every week.
Reserve-then-settle ledgers, per-run ceilings, graceful degradation and idempotency - the four mechanics that make autonomy financially safe.
A repeatable method for finding the spend your search campaigns leak, and shipping the negatives that stop it.
Human-in-the-loop done right: park the exact action, decide in one click, and let the mission continue.
Forty-four thousand lines of UI, removed in one commit. What survived is the platform.
The most boring reason ad tooling never ships, and how managed partner credentials remove it.
Budget caps are only real if something is checked before the money leaves. Inside the ledger and the degradation ladder.
The hosted MCP server: one config entry, the whole catalog, the same budget guardrails.
Open a free workspace and the playbook library is waiting - describe the outcome and the agents carry it end to end, with 1,000 trial credits on us.