Strategy Engine
What it does: Turns your URL and product context into a focused acquisition plan.
Try this first: Run one strategy generation after onboarding and lock one message angle per channel for this week.
Pro tip: Constrain your audience clearly: buyer role, company stage, and top pain. Specific inputs produce specific strategy.
Common mistake: Asking for a broad strategy before clarifying your ideal customer profile (ICP) and offer. You get generic output.
Content System
What it does: Drafts channel-ready posts from strategy so execution is fast and consistent.
Try this first: Generate three posts for one channel from a single angle, then publish and compare response quality.
Pro tip: Keep tone constraints short and explicit. Add one real proof point in each draft before posting.
Common mistake: Generating high volume across too many channels before you know which message converts.
Opportunity Finder
What it does: Surfaces relevant conversations where your product can add value.
Try this first: Reply to five high-fit conversations this week using a value-first response, not a pitch.
Pro tip: Use objection language from replies to refine next week prompts and landing copy.
Common mistake: Treating opportunities like a link-drop workflow. Promotion-first replies get ignored.
Analytics and Learning Memory
What it does: Tracks what worked and feeds those learnings back into your next strategy and content cycle.
Try this first: At week end, review win and loss patterns and update one rule per channel for next week.
Pro tip: Judge posts by intent and outcomes, not impressions. Save only lessons that change future decisions.
Common mistake: Looking at analytics without converting insights into new prompt constraints and channel rules.
Connectors and Execution
What it does: Helps you operationalize publishing and campaign workflows without context switching.
Try this first: Connect one destination first and run a small batch to confirm naming, audience, and format are correct.
Pro tip: Standardize naming for campaigns and assets so weekly reviews are readable.
Common mistake: Automating distribution before message quality is stable. You scale noise, not results.