Business input
Goals & guardrails
Upload brand voice, offers, audiences, and spend rules so every downstream action stays aligned with how you actually sell.
Your AI ad team — research to launch in one workspace
magikbull.com / workspace
Overview
North America · Performance
AI team active
ROAS
3.42
+12.4%
Spend (7d)
$48.2k
On plan
Conv.
1,284
+8.1%
Spend vs. target
Last 14dApprovals
Creative refresh v3
Meta · Awaiting lead
Budget shift +12%
Approved · Google
Simulated workspace preview · Not live data
Trusted foundations
Approval gates
Nothing publishes without sign-off
Workspace isolation
Data segmented by tenant
Enterprise-ready
SSO & governance roadmap
Audit-friendly
Traceable AI actions
Product model
One governed pipeline from context to conversion
MagikBull is not a single prompt — it is a sequenced workflow where AI accelerates each leg, and your team keeps veto power before spend or creative ever goes live.
- 1
- 2
AI competitor research
Signals, not noise
Models scan positioning, creative patterns, and auction pressure across your category — summarized into decisions your team can trust.
- 3
Creative generation
Variants at scale
Headlines, hooks, and visual directions are drafted against your guidelines, ready for human polish or fast A/B packaging.
- 4
Approval
Humans in the loop
Stakeholders review proposed changes before anything touches live accounts — approvals, comments, and audit trails in one chain.
- 5
Campaign launch
Controlled go-live
Structured pushes to Meta and Google with checks for policy fit, budget caps, and tracking — launch as an event, not a gamble.
- 6
Optimization
Always-on learning
Post-launch, AI monitors fatigue, efficiency, and incrementality — surfacing next actions that still wait on your sign-off.
Why this shape matters: each stage is a checkpoint your org can instrument — SLAs, roles, and integrations attach at the edges without rewriting the story visitors see on this page.
AI workforce
Meet your AI employees
Specialized agents that ship work like a senior bench — with roles, ownership, and approvals so automation never feels like a black box.
Trust-first by design: every employee outputs drafts and recommendations — your operators decide what ships to live spend and public channels.
Platform comparison
Why teams layer MagikBull on Meta & Google
Native ads managers are excellent at channel execution and billing. MagikBull is the AI-native workspace above them — research, creative, approvals, and intelligence — without replacing where your spend clears.
| Capability | MagikBullAI workspace | MetaAds Manager | GoogleAds |
|---|---|---|---|
AI competitor researchDifferentiatorCategory and creative signals synthesized into briefs your team can approve. | |||
AI creative generationDifferentiatorOn-brand copy and creative directions packaged for review — not one-off prompts. | |||
Approval-first automationDifferentiatorAI proposes; humans publish. Queues, diffs, and sign-off before live accounts change. | |||
Autopilot (governed)DifferentiatorOptional hands-off execution within caps, policies, and explicit enablement. | |||
Performance intelligenceDifferentiatorNarratives, anomalies, and next-best-actions across connected channels — not siloed dashboards alone. | |||
Cross-channel workspaceOne layer for Meta + Google + governance artifacts — not switching UIs per channel. | |||
AI + human audit trailSingle thread from research → creative → approval → launch for compliance and finance. | |||
Native channel depthEvery platform edge case — MagikBull orchestrates; Meta and Google remain sources of truth for billing and policy. |
Strong fit
Core to how MagikBull is designed.
Partial / siloed
Exists in-platform but not as one governed AI workspace.
Not the focus
Not positioned as a cross-channel AI operating layer.
Matrix is directional for positioning only — your Meta and Google accounts remain the billing and policy systems of record. MagikBull connects where you enable integrations and respects workspace roles and approval policies you configure.
Plans
Credit-backed pricing on every tier
Toggle monthly or yearly — same AI credit pools as checkout. Logged-in visitors see the same public plans here; subscription changes happen in workspace billing.
Billing
Yearly shows effective monthly after ~17% annual discount — final totals at checkout.
Starter
Best for testing and small businesses.
$49/mo
Billed monthly · cancel any time
Prepay annually: $41/mo effective ($488/yr)
AI credits / month
3,200
Renews with each subscription period (catalog allocation).
- Manual approvals — you stay in control
- Quality-baseline model routing
- Up to 3 creatives per campaign (catalog default)
- Usage on demand
- Optional add-on — enable with a monthly cap when you need burst capacity.
- Overage caps
- Workspace-configured on-demand cap with balance checks before spend.
- Coupons
- Eligible codes apply at checkout when campaigns are active.
Growth
Best for active advertisers shipping weekly.
$149/mo
Billed monthly · cancel any time
Prepay annually: $124/mo effective ($1,484/yr)
AI credits / month
12,000
Renews with each subscription period (catalog allocation).
- Enhanced generation routing
- Analytics insights unlocked
- Up to 6 creatives per campaign (catalog default)
- Usage on demand
- Toggle usage-on-demand; cap overages per subscription.
- Overage caps
- Hard cap on on-demand spend — current overage stays visible against your configured ceiling.
- Coupons
- Supports first-time and promo coupons where configured.
Most popular
Pro
High throughput for brands that never slow down.
$399/mo
Billed monthly · cancel any time
Prepay annually: $331/mo effective ($3,974/yr)
AI credits / month
48,000
Renews with each subscription period (catalog allocation).
- Premium intelligence routing
- Largest monthly credit pool in catalog
- Up to 12 creatives per campaign (catalog default)
- Usage on demand
- Usage-on-demand ready for governed bursts (enable per policy).
- Overage caps
- Higher caps available; safe-mode + manual freeze still apply workspace-wide.
- Coupons
- Stack with eligible workspace campaigns and checkout rules.
Agency
Pooled credits across client workspaces and brands.
Custom
Pooled credits, SLAs, and integrations scoped to your org.
Pooled AI credits
Pool
Allocated across workspaces you connect to the agency pool.
- Shared credit pool for child workspaces (where enabled)
- Governance and approvals at workspace scope
- Finance-friendly allocation views
- Usage on demand
- Per-workspace or pool-level on-demand rules — configured with your solutions lead.
- Overage caps
- Caps and freezes can be applied at agency or workspace level.
- Coupons
- Enterprise agreements may include custom coupon programs.
Pro maps to the Scale row in the product billing catalog (48k credits / period). Credits and prices mirror internal plan seeds; Razorpay checkout is the source of truth for tax and currency.
FAQ
Questions teams ask before they ship
Straight answers on security, billing, approvals, and integrations — same wording as our help center, so nothing drifts out of date.
Journal
From the MagikBull blog
Playbooks on AI ads, Meta, Google, competitor research, and growth — the same articles as the full blog, updated whenever you ship new Markdown.
Trust & safety
Enterprise-grade control for AI in production
MagikBull is built for organizations that cannot afford silent automation. The patterns below are first-class — not bolt-on disclaimers — so procurement, legal, and finance can sleep at night.
Default posture
Approval-first workflow
AI drafts plans, creatives, and changes — nothing touches live campaigns until your reviewers explicitly release it. Queues show diffs, context, and who approved each step.
Opt-in only
Optional autopilot
Hands-off execution is never implied. Autopilot is off by default and only runs where you enable it, with workspace policies that define which actions may ever run unattended.
Scoped runs
Time-bound autopilot
When autopilot is on, tie it to budgets, windows, and scopes you define — so autonomy is bounded by time and money, not by whatever the model wants to try next.
Break glass
48-hour safety stop
Emergency controls halt AI-driven and scheduled actions across a user or workspace — built for a rapid response posture (including 48-hour incident review windows many enterprises require) when spend or delivery looks wrong.
Full trace
Audit logs
Human and AI actions leave a trace: who approved what, when spend changed, and which model version produced a recommendation — export-friendly for security and finance reviews.
Always on
Human override
Operators can pause queues, reject pending bundles, and roll back to last-known-good states. AI accelerates work; it does not replace the accountability chain your enterprise expects.
Operational reality: trust controls vary by plan and workspace configuration — your account owner defines who approves, what autopilot may touch, and how logs are retained. This page describes the product intent; your admin console is the source of truth.
Ready to go deeper? Explore the product