Agent Planners vs Markifact
Markifact and Agent Planners share real ground: both are agentic, both put a human approval step before anything goes live, and both expose an MCP server. The difference is shape and depth. Markifact is a visual workflow builder plus chat agents plus MCP, covering 500+ operations across ~30 tools (Google/Meta/TikTok/LinkedIn Ads, Shopify, HubSpot, GA4 and more) with a bring-your-own-API-key model. Agent Planners is a single orchestrator-plus-specialists harness with a built-in AI Gateway (no separate model keys needed), native BigQuery SQL reasoning for true ROAS, DV360/CM360/Ad Manager/AdSense/AdMob coverage, and per-account memory. Choose Markifact if you want a no-code workflow canvas and a wide, chat-first tool surface; choose Agent Planners if you want deep programmatic-platform coverage and first-party ROAS reasoning without managing your own model keys.
What is Markifact?
Markifact is a no-code AI marketing automation platform launched to handle reporting, campaign analysis and creative generation "without writing a single line of code." It ships three modes — AI Agents (chat-driven, ask/approve/done), Workflows (a drag-and-drop visual canvas with 100+ templates), and an MCP server — all built on the same 500+ operations across roughly 30 integrated tools.
It's positioned for agencies and in-house teams doing high-volume reporting and campaign ops: Google & Meta Ads slide decks, bulk ad uploads from Google Sheets, account audits (40+ Google Ads checks, 100+ Meta Ads checks), competitor ad spying, and Shopify/GA4/Search Console reporting — reachable from Markifact directly, Slack, WhatsApp, or any MCP client (Claude, ChatGPT, Cursor).
Agent Planners vs Markifact at a glance
| Agent Planners | Markifact | |
|---|---|---|
| Model | One orchestrator + 6 specialist agents, reasoning from a plain-language goal | AI Agents (chat) + a visual no-code Workflow builder + MCP — three separate modes |
| Human approval | Mandatory on every write, in-app or email magic-link | Human-in-the-loop on agent actions (per Markifact's own positioning) — verify workflow-mode behavior, since scheduled/triggered workflows are a different execution path |
| Model access | Built-in AI Gateway — no separate model keys required | Bring your own API keys (OpenAI, Gemini, Claude) |
| True ROAS via your own BigQuery / CRM | Yes — the agent writes its own SQL to join ad cost with your revenue | Not a documented native feature; Markifact can push query results into Sheets, not query BigQuery directly (per public info) |
| Platforms | Google Ads, DV360, CM360, Meta, TikTok, Google Ad Manager, AdSense, AdMob, GA4, Search Console, BigQuery, Shopify, Composio (250+ apps), custom MCP | 12 ad platforms, 8 analytics/data, 6 workspace, 6 messaging/social, 4 e-commerce/CRM (~30 tools) per their public integrations page |
| Account memory (targets, protected campaigns, rules) | Yes — persists per account, read on every run | Not a documented feature; workflows are the reusable unit instead of persistent account memory |
| No-code visual workflow builder | No — schedules run a saved goal, not a drag-and-drop canvas | Yes — a core mode, with an AI Copilot that builds workflows from a description |
| Pricing | Usage credits; free tier (2,500/mo, no card, recurring) | $79–249+/mo (Pro/Team/Managed); 200 one-time credits at signup, not a recurring free tier (verify current pricing) |
| Best for | Teams wanting deep programmatic + BigQuery-native ROAS reasoning, no model keys to manage | Teams wanting a no-code workflow canvas and wide chat-first coverage across ads, reporting and creative |
Where Markifact is strong
- A genuinely no-code visual workflow canvas — useful for teams that want to see and edit the automation, not just describe it in chat.
- 100+ ready-made templates (audits, bulk ad uploads via Sheets, slide-deck reporting) that cover common agency busywork out of the box.
- Broad tool surface for a single platform: ~30 integrated apps spanning ads, analytics, workspace, messaging and e-commerce.
- Flexible model choice via your own API keys, if you already have provider accounts and want to control that spend directly.
Where Agent Planners is different
- One harness, not three modes to choose between — a plain-language goal is planned once by an orchestrator and executed by specialists, rather than picking between an agent, a workflow canvas and MCP for the same job.
- A built-in AI Gateway means no separate model API keys to acquire, rotate or pay per-provider for — usage is metered in one credit system (or bring your own model if you already run your own deployment).
- Native, deeper programmatic coverage: DV360 (insertion orders, line items, native reach forecasting), Campaign Manager 360 (trafficking, Floodlight, the full Reporting lifecycle) and the publisher side (Google Ad Manager, AdSense, AdMob) — not just the buy-side ad platforms.
- The agent writes its own SQL against your BigQuery warehouse to join ad cost with your real revenue/CRM data for true ROAS, rather than only exporting results into a spreadsheet.
- Per-account memory persists targets, protected campaigns and rules automatically on every future run — you set guardrails once, not per workflow.
Which should you choose?
Pick Markifact if you want a no-code visual workflow builder as a first-class mode, a very wide chat-first tool surface, and you're comfortable bringing your own model API keys.
Pick Agent Planners if you want one agent that reasons across your whole stack — including DV360, CM360 and the Google publisher platforms — with native BigQuery ROAS and no model keys to manage yourself. Both offer a way to try before committing, so testing each against your own account is the fastest way to decide.
Frequently asked questions
- Is Agent Planners a good Markifact alternative?
- Yes, particularly if you want deeper native coverage of DV360, Campaign Manager 360 and the Google publisher platforms (Ad Manager, AdSense, AdMob), a built-in AI Gateway so you don't manage separate model API keys, and BigQuery-native true-ROAS reasoning rather than exporting results to a spreadsheet.
- Does Markifact require human approval before changes go live?
- Markifact's own marketing states actions require approval before going live for its AI Agents mode ("nothing goes live without you"). Verify how that applies to scheduled or triggered Workflows specifically, since that's a different execution path from a chat-driven agent — Agent Planners makes the approval gate mandatory on every write across the whole harness, with no separate execution mode that could bypass it.
- Does Markifact need its own AI model API keys?
- Yes — Markifact is bring-your-own-key (OpenAI, Gemini, Claude or others), so you provision and pay each model provider directly. Agent Planners includes a built-in AI Gateway, so usage is metered in one credit system with no separate provider keys required, plus an optional bring-your-own-model path if you already run your own deployment.
- Does Markifact connect to BigQuery?
- Markifact's public integrations describe pushing data into destinations like Google Sheets rather than a documented native BigQuery query capability. Agent Planners' agent writes its own SQL directly against your BigQuery warehouse to compute true ROAS from your own revenue data — verify Markifact's current BigQuery support before deciding if that matters to you.
- Is Markifact free?
- Markifact gives 200 one-time credits at signup, not a recurring monthly free tier, with paid plans starting at $79/month. Agent Planners' free tier is recurring — 2,500 credits every month, no credit card required. Verify current Markifact pricing on their site, since plans change.