Every action,
ranked by impact.
Action Center is the single source of truth for what to do next. AI visibility recommendations pulled from your tracking, competitor, page audit, and citation data — ranked by estimated impact, tracked from open to done.
ChatGPT
Claude
Perplexity
Gemini
GrokDon't ask "what now?"
Action Center tells you.
Every other product in Ranqo generates signals. Action Center is where those signals become a work queue — deduplicated, prioritized, and attributable to impact once you ship.
Prioritized queue
One list. Every recommendation across visibility, competitor, audit, and citation sources — ranked by estimated impact × effort, deduplicated across sources.
Priority tags
Every action tagged high / medium / low — based on lift estimate, data source, and urgency. No infinite scroll of equal-weight bullets.
Status tracking
Open → in progress → done. Every action carries its source (which prompt, which dimension, which competitor) so the impact is verifiable after ship.
Every signal,
one ranked list.
Stop hopping between Search Visibility, Competitor Benchmarking, Page Audit, and Source Analytics looking for the next task. Action Center pulls every recommendation into one queue, deduplicates overlaps, and ranks by estimated impact.
- Recommendations from every product — visibility, audit, competitor, citations
- Deduplicated — one action covers overlapping signals
- Ranked by impact × effort + urgency + data source trust
- Filter by source, priority, status, or dimension
High, medium, low —
assigned, not guessed.
Priority tiers aren't gut-feel. They're computed from the underlying lift estimate, the data source's confidence, and the competitor urgency. A drop on ChatGPT in a high-volume prompt scores very differently than a minor sentiment dip.
- High: compounded lift × high-volume prompts × competitor velocity
- Medium: measurable lift but bounded scope
- Low: worth doing, won't change the scoreboard alone
- Every tier explains why — no black-box scoring
Open to done,
with impact attribution.
Every action carries its own source trail — which prompt, which dimension, which competitor triggered it. When you mark it done, Ranqo watches the same signal to confirm the lift you expected actually landed.
- Three statuses: open → in progress → done
- Source trail: every action traces back to the signal that created it
- Post-ship impact check — did the recommended lift land?
- Export filtered lists to CSV or push to Linear / Asana via webhook
Recommendations view.
Status board. History.
Action Center lives at /action-center — one page, three views, built around the question you ask every morning: what's the highest-leverage thing I can ship today?
Recommendations Queue
One list of every open action across all Ranqo products. Ranked by impact, filterable by source + priority.
Priority Tiers
High / medium / low with an explanation per action — no opaque scoring.
Source Attribution
Every action shows its source (prompt, dimension, competitor, domain) + the underlying data snapshot.
Status Board
Kanban-style open / in-progress / done with drag-to-move and bulk status updates.
Post-ship Impact
After you mark done, Ranqo tracks the same signal to verify the lift landed — or flags if it didn't.
Export + Integrations
Export filtered lists to CSV. Push tasks to Linear, Asana, Jira, or Notion via webhook.
Recommendations,
not a to-do generator.
Every recommendation has a source. Every source has a data snapshot. Every snapshot has the run, prompt, and platform it came from — so when you ship a fix, you can prove the lift against the exact signal that triggered it.
Ingest signals
Every daily run feeds Search Visibility, Competitor, Source, and Page Audit signals into the Action Center pipeline.
AI scoring + dedupe
Claude Sonnet ranks signals by estimated impact, groups overlapping ones, and assigns priority tiers with rationale.
Track to done
Status transitions are timestamped, source data snapshotted, and post-ship signal changes monitored for 30 days.
Ranqo is a connected suite —
every product sharpens the next.
Stop asking
"what should I do next?"
Every signal, one queue. Ranked by impact. Tracked to done.