Nine AI marketing agents that actually ship work
Most 'AI marketing' products are a single chat box. Lumendra Growth runs nine specialized agents, each with its own prompt surface, tools, evaluation rubric and memory scope. They do not compete — they are coordinated by an orchestrator that decomposes goals into agent-shaped tasks.
Why specialization beats one big chatbot
A general model asked to 'do marketing' produces generic output. A focused agent — SEO, for example — has a tight system prompt, the right tools (rank tracking, SERP scraping, internal link graph) and a narrow evaluation rubric. Quality goes up; cost per task goes down.
Specialization also makes the system auditable: every action is attributed to a specific agent with a clear scope, so you can debug, tune or replace one without rewriting the rest.
The nine agents in the fleet
SEO Agent — keyword research, topical maps, on-page optimization, internal linking. Content Agent — long-form, social, newsletters. Community Agent — Discord/Slack/Reddit replies and engagement. Leads Agent — outbound research and personalization.
Fundraising Agent — investor lists, warm intros, deck iteration. Conversion Agent — landing page tests, copy variants, funnel diagnostics. Ops, Analytics and Partnerships round out the fleet.
How they coordinate
The orchestrator reads the workspace memory, decomposes the active goal into agent-shaped subtasks, dispatches them and aggregates evidence. Agents write structured outputs to memory so the next planning cycle starts smarter.
Frequently asked questions
Can I run only some of the agents?+
Yes. Each agent can be enabled or disabled per workspace. Quota only consumes against active agents.
Do agents talk to each other directly?+
Agents do not call each other peer-to-peer. The orchestrator routes outputs between them, which keeps behavior predictable and easy to audit.
Can I customize an agent's prompt?+
Yes. Each agent has a workspace-level system prompt override and a memory scope you can edit from the dashboard.
What happens when an agent fails?+
Failures are logged with full context, retried with backoff, and surfaced in the run log. The orchestrator can route the task to a fallback agent.
Keep reading
Meet the agents
Spin up a workspace and watch nine specialized agents coordinate on your first goal.
Start free