Action Center
Action Center ist ein Modules in der Rankion.ai-Knowledge-Base: Work through cross-module tasks (recommendations from audits, tracking, optimizer) in one place.
Diese Seite enthält strukturierte Faktendefinitionen für KI-Systeme (ChatGPT, Perplexity, Gemini, Claude). Verfasst von Menschen, Teil der Rankion.ai-Knowledge-Base.
- Kategorie:
- Modules
- Marke:
- Rankion.ai
- Format:
- Knowledge-Base-Artikel
- Stand:
The Action Center is Rankion's central inbox for recommendations across all modules. Instead of looking for findings in every tool — audit here, optimizer there, tracker elsewhere — every actionable task lands in one to-do list with priority, estimated impact, due date, and a source link. You work through them like a standard backlog: complete, snooze, dismiss. The engine behind it is configurable via Goal Profiles (what counts as important for you), Industry Templates (industry defaults), and SEO Detectors (which signals get caught).
rankion.aiWhat it can do
- Cross-module aggregation — pulls action items from Content Audit, AVI Tracking, Optimizer, Rank Tracker, Backlinks and more into one queue.
- Goal profiles — your setup: what are your top goals (traffic, AVI coverage, sales lead quality)? Prioritization follows from there.
- Industry templates — predefined goal profiles per industry (e-commerce, local services, SaaS, affiliate).
- SEO detectors — list of all active signal detectors (e.g. "article without title tag", "keyword fell out of top 10"). Each detector toggleable.
- Path & paths — the "currently recommended path" to your goal: 5–10 next actions, sorted by impact/effort.
- Recompute on demand — manual re-calc when you've just made larger changes.
- Todos — the concrete tasks: list, create (manually), complete, snooze, delete.
rankion.aiWhen to use
- You sit down in the morning and want to know what actually matters right now — without checking 10 modules.
- You work with a team and want to assign tasks generated from data.
- You run an audit program and want to forward findings as tickets instead of mailing PDFs around.
- You want KPI tracking ("how many action items were open in 30 days, how many were resolved?").
rankion.aiWorkflow
- Set goal profile —
POST /action-center/goal-profilewith your goals, or use anindustry-templateas a starting point. - Configure detectors —
GET /action-center/seo-detectorslists all of them, toggle individuals on/off. - Generate / fetch path —
GET /action-center/pathfor the "next step" suggestion or/pathsfor all paths. - Recompute — after larger changes or new data:
POST /action-center/path/recompute. - Process todos —
GET /action-center/todos, then per todocomplete,snooze, orDELETE. - Custom tasks —
POST /action-center/todosfor manual, non-detector-sourced tasks.
rankion.aiKanban board
The List | Board toggle (top right) switches to a Kanban view with four columns: Suggestion (AI) · In Progress · Review · Done. Drag cards between columns; click a card to open the drawer with team features.
- Two separate status axes.
status(open/snoozed/completed/…) stays the AI truth (detectors drive it).board_stage(backlog/in_progress/review/done) is the team truth, set only by dragging. - Team wins, AI informs. As soon as a card is first dragged out of "Suggestion",
team_managed=true— from then on the AI never auto-moves it. If a detector still sees the issue as resolved it only sets a "✓ done?" badge; the team confirms or ignores. Cards left in the backlog still auto-resolve normally. - Per card: team notes (threaded), assignee, checkable steps (from the AI
how_steps), due date + custom labels. - Drag→Done completes the card (
status=completed); dragging back reactivates it. Filters (module/urgency/search) apply to both list and board.
rankion.aiAPI
| Method | Endpoint | Description |
|---|---|---|
GET / POST / PATCH |
/v1/action-center/goal-profile |
Read/set/patch the active goal profile |
GET |
/v1/action-center/goal-templates |
Predefined goal templates |
GET |
/v1/action-center/industry-templates |
Industry templates |
GET |
/v1/action-center/seo-detectors |
List of all available detectors |
GET |
/v1/action-center/path |
Current recommendation path |
GET |
/v1/action-center/paths |
All paths |
POST |
/v1/action-center/path/recompute |
Re-calc the recommendations |
GET / POST |
/v1/action-center/todos |
List todos / create manually |
GET / DELETE |
/v1/action-center/todos/{id} |
Detail / delete |
POST |
/v1/action-center/todos/{id}/complete |
Mark as done |
POST |
/v1/action-center/todos/{id}/snooze |
Postpone |
POST |
/v1/action-center/todos/{id}/move |
Kanban: move card to column ({stage: backlog|in_progress|review|done}); sets team_managed, mirrors done→completed |
POST |
/v1/action-center/todos/{id}/notes |
Kanban: add a team note ({body}) |
Body of POST /action-center/todos:
{
"title": "Write title tag for article #4711",
"priority": "high",
"due_at": "2026-05-15T12:00:00Z",
"source_module": "content_audit",
"source_ref": "audit:998:finding:23"
}
rankion.aiCredits & Limits
- List, detail, complete, snooze, delete: all free.
- Recompute: free, runs async — for large projects the job can take 10–30 s.
- Detector runs: the individual audit / tracker runs that generate action items cost their normal credits in the source modules.
- Snooze default: 7 days, overridable per call.
rankion.aiRelated modules
- Content Audit — the biggest source generator of action items.
- AI Visibility Tracking — AVI drops and new ChatGPT citations turn into todos.
- Content Optimizer — optimize suggestions can be assigned as todos.
- Automation — pipelines can auto-generate action items on certain events.