Strategy and campaigns
What it does: Turns your URL and product context into a focused acquisition plan, weekly content, and optional launch checklist.
Try this first: Run one strategy generation after onboarding, or use Launch playbook on the dashboard for a guided 14-day launch.
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 and post queue
What it does: Drafts channel-ready posts from strategy, routes approved pieces to the queue, and supports scheduled or API posting.
Try this first: Generate three posts for one channel from a single angle, approve them, then publish from the post queue.
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.
Tracking and opportunities
What it does: Ranks conversations, posting, AI visibility, competitors, outcomes, and experiments on the dashboard. Opportunity Finder surfaces threads with reply windows.
Try this first: Check the Tracking card each morning; reply to the highest-priority conversation before the window closes.
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.
AI visibility (GEO)
What it does: Measures citation share and message fidelity across AI engines, flags week-over-week drops, and suggests displacement content.
Try this first: Run your first measurement from AI Visibility, then review trend labels on the dashboard Tracking card.
Pro tip: Ship comparison and checklist content when fidelity drops — align copy with your brand kit positioning.
Common mistake: Measuring once and never acting on displacement or fidelity alerts.
Analytics, experiments, and learning
What it does: Tracks outcomes, runs A/B angle tests per campaign, derives learning notes, and feeds insights into the Growth OS memo.
Try this first: Log outcomes weekly, launch one experiment with min sample per variant, and derive learning notes at week end.
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.
Integrations and execution
What it does: Connects Bluesky, email, analytics, and posting workflows so publishing stays in one workspace.
Try this first: Connect one destination first and run a small batch from the post queue to confirm format and naming.
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.