The Make alternative for AI agents
Make connects your apps.
Draft & Goal orchestrates results at exponential scale.
Came to Make to automate marketing with AI? Production-grade means chaining AI modules, routers, data stores, and HTTP calls across scenarios — and watching the operations meter climb. Draft & Goal is the no-code platform for production-grade multi-agent orchestration — many specialized agents with roles, tools, and runtime reasoning, governed and on-brand, ready to run.
General-purpose vs marketing-grade
Make moves data between apps. Draft & Goal orchestrates marketing.
Make is a polished, general-purpose automation tool — and yes, you can add AI modules to a scenario and call it an agent. Draft & Goal is built the other way around: many marketing-native agents, orchestrated and governed out of the box.
Draft & Goal — marketing-native
Agents, orchestrated for marketing
Many specialized agents — scoped, coordinated, and governed — that hold brand voice, respect compliance, and run in parallel across any model. Marketing builds and owns them: no code, no engineering tickets.
Make.com — general-purpose
Polished — but you wire the scenario
2,000+ app integrations and a slick scenario builder make Make great for connecting tools across the business. But the agents, governance, and marketing context are yours to build, run, and pay for per operation — and it's owned by ops and automation specialists.
Draft & Goal vs Make.com
For marketing teams, it isn't close.
Make is a strong general-purpose automation platform. But on the dimensions a marketing team actually lives in — precision, governance, ownership, cost at scale — Draft & Goal is built to win.
| Dimension | Draft & Goal | Make.com |
|---|---|---|
| Built for | ✓ Marketing teams — and owned by them | General-purpose app automation, owned by ops & RevOps |
| Marketing precision | ✓ Agents hold brand voice, compliance & channel awareness | Moves data between apps — no built-in brand, tone or compliance sense |
| AI approach | ✓ Many specialized agents — orchestrated, governed, in parallel | AI modules and agents you bolt onto scenarios and wire yourself |
| SEO & content tools | ✓ Native: Semrush, Majestic, Haloscan, YourText Guru, DataForSEO, SERP, scrapers | Via generic HTTP modules or third-party app connectors |
| Multi-model | ✓ Any model, per agent, with no code | Add an OpenAI/Anthropic module per step — configured by hand |
| Reliability & governance | ✓ Guardrails, audit trails & human checkpoints built in | Build your own error handlers, routers and retry logic per scenario |
| Who runs it | ✓ Marketing — no engineering tickets | Automation specialists own scenarios; marketing files requests |
| Pricing model | ✓ Usage-based workflow credits with separately controlled AI compute | Per-operation billing that climbs fast as scenarios scale |
| Compliance | ✓ SOC 2 Type II, ISO 27001 & GDPR by default | SOC 2 & GDPR available, gated to higher tiers |
| Time to value | ✓ Live in days, fully managed | Fast to start — but production marketing flows you build and maintain |
| In marketing production | ✓ La Poste (200K+ pages/yr), Decathlon, TotalEnergies | Broad general-purpose adoption across ops teams |
// Based on public documentation from both platforms. Make.com is a capable general-purpose tool; this page compares it for marketing use.
Why teams switch
Why marketing teams choose Draft & Goal.
Make can connect almost anything. But for a team that has to ship on-brand at scale, the gaps add up — and that's exactly where Draft & Goal is built to win.
On Make, marketing teams hit
The cost of general-purpose
- Data-plumbing automation with no built-in sense of brand, tone, or compliance
- Agents, governance, and error routing you chain together and maintain yourself
- Ownership by ops and automation specialists — every change becomes a request
- Operations-based pricing that climbs as marketing volume scales
With Draft & Goal, you get
Marketing orchestration, owned by you
- Marketing-native agents that hold brand voice and respect compliance
- Orchestration, guardrails & audit trails — reliable by design
- No-code, owned by marketing — build and change it yourself
- SOC 2 Type II, ISO 27001 & any model — included by default
Purpose-built so a marketing team ships at a scale and depth it couldn't reach alone.
200K+ pages a year in production (La Poste)
SOC 2 Type II plus ISO 27001 & GDPR
Any model GPT · Claude · Gemini, per agent
No-code owned by marketing, not engineering
What's built in
No-code on the surface. Real depth underneath.
Compose many marketing-native agents on a visual canvas — then publish, schedule, and run them on managed, compliant infrastructure.
01
Marketing & SEO tools
Native Semrush, Majestic, Haloscan, YourText Guru, DataForSEO, Google SERP, content scrapers, and internal-link recommendations.
02
AI agents & LLM nodes
GPT, Claude and Gemini built in. Agents with tools and MCP, plus structured JSON output for extraction, classification, and writing.
03
Python code blocks
A code node with full Python library support, for the moments where no-code shouldn't go.
04
Control flow
Conditionals, loops, merge-to-report, stop nodes, and a Fail node for clean error paths.
05
Human-in-the-loop
Pause for approval, review and edit content in a familiar console, then approve, reject, or update and resume.
06
JSONPath extraction
Feed agents only the data they need rather than raw HTML. Tag extraction and multi-output supported.
07
Versioning & publish
Work in draft, publish a version to production, and restore a previous one when you need to.
08
Schedule & run at scale
Scheduled runs and batch jobs over a CSV, BigQuery query, or Google Sheet — agents running in parallel.
09
API & connectors
Use the platform via REST API, and reach anything without a native node through a Postman-style API connector.
Moving from Make?
Keep what's familiar. Skip the wiring.
If you can build a scenario in Make, Draft & Goal will feel familiar — a visual canvas, nodes, run logs. The difference is how much is handled for you out of the box, with predictable workflow credits and AI compute tracked separately.
01
Rebuild a marketing flow fast
Add an input node, connect an integration, hit generate. The visual canvas and run logs map to the scenarios you already know in Make.
02
Use agents that are pre-wired
Model, tools, and structured output come bundled and governed, rather than chaining an AI module to a router to a data store each time.
03
Reach SEO tools natively
Semrush, Majestic, SERP and content scrapers are first-class nodes, not generic HTTP modules you map field by field.
04
Ship on managed, compliant infra
Publish, schedule, and run on SOC 2 Type II infrastructure — with workflow-credit controls and AI compute kept visible as you scale.
"With Draft & Goal, the major configuration is handled by default. Going from Make to Zapier has a big learning curve — here there isn't one. It's going to be easier to build workflows." Builder feedback, onboarding session
Frequently asked questions
Questions about Make and Draft & Goal.
What is the difference between Draft & Goal and Make.com?
Make.com is a general-purpose visual scenario builder that moves data between apps, billed per operation and usually owned by ops. Draft & Goal is a marketing-native multi-agent orchestration platform: specialized AI agents with brand voice, compliance, and channel awareness run in parallel, governed, and owned directly by marketing.
Is Draft & Goal a good Make.com alternative for marketing teams?
Yes — when the goal is AI-driven marketing production rather than app-to-app data plumbing. Draft & Goal ships native SEO tools like Semrush, Majestic, and DataForSEO, built-in GPT, Claude, and Gemini agents, human-in-the-loop approval, and versioned publishing, all no-code and fully managed.
Can I add AI agents to Make.com scenarios?
Make offers AI modules and agents that you bolt onto scenarios and wire yourself, adding an OpenAI or Anthropic module per step. In Draft & Goal, agents come pre-wired with a model, tools, and structured output, and many specialized agents run in parallel under shared guardrails and audit trails.
How does Draft & Goal pricing differ from Make's operations-based pricing?
Make bills per operation, so costs climb fast as scenarios scale. Draft & Goal uses usage-based workflow credits with AI compute controlled and tracked separately, keeping spend predictable as marketing volume grows.
Is Draft & Goal proven in enterprise marketing production?
Yes. Enterprises including La Poste, Decathlon, and TotalEnergies run Draft & Goal in production — La Poste produces more than 200,000 pages a year on the platform — on SOC 2 Type II infrastructure with ISO 27001 and GDPR compliance by default.
See it on your own use case
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