New to the MAEL dashboard? Start here.
A complete, beginner-friendly, step-by-step tutorial — no technical
knowledge required. From your first login to your first published,
AI-written article.
What is MAEL?
MAEL is an AI operating system purpose-built for SEO work: keyword research, content generation, technical audits, publishing, and monitoring — run by specialized agents, coordinated by a durable workflow engine, and gated by real evaluation before anything reaches a client’s site. It isn’t a prompt wrapper. Every run goes through one execution spine (LifecycleManager), every workflow step is
idempotent under retry (ADR-006),
every tenant’s data is isolated at the database role level
(Row-Level Security), and every piece of
generated content can be gated by a real quality evaluator before it
publishes (content evaluation gate) —
never a silent auto-pass.
Quickstart
Get MAEL running locally in under 10 minutes.
Architecture
How agents, memory, and the workflow engine fit together.
API Reference
Every endpoint, typed and documented from the live OpenAPI schema.
Deployment
Docker Compose, Kubernetes, or a single VPS — pick your path.
Why MAEL
30+ agents on one execution contract
30+ agents on one execution contract
Research, planning, content, technical SEO, publishing, monitoring, and
authority agents all run through the same lifecycle envelope — retries,
idempotency, cost tracking, and evaluation are handled once, centrally,
not reimplemented per agent. See AI Agents.
A workflow engine that survives crashes
A workflow engine that survives crashes
DAG-based workflows with per-step checkpointing, heartbeat-based stale-run
recovery, and compensation on failure. A worker dying mid-run does not
lose the run. See Workflow Engine.
Never a silent auto-pass
Never a silent auto-pass
Content generation runs through an evaluation gate — SEO, E-E-A-T,
readability, hallucination risk, and (for medical/YMYL content) fact
accuracy — before it’s eligible for human approval. An agent with no
evaluator assigned is recorded as not evaluated, never scored 100 by
default. See ADR-009.
Multi-LLM by design, not by afterthought
Multi-LLM by design, not by afterthought
Anthropic, OpenAI, Google, Ollama, and vLLM all load through the same
provider registry with per-provider circuit breakers and automatic
failover. Swap models per agent without touching code. See
SDK.
Who this is for
MAEL runs SEO programs end to end: keyword research and clustering, AI-assisted content generation with a mandatory human-approval gate, technical SEO audits, publishing to WordPress, and ongoing rank/backlink monitoring — for agencies and in-house teams managing multiple client domains from one platform.MAEL is currently in its production-validation phase — proving the
platform end to end on real client domains before any self-serve
commercial launch. See the Roadmap for what’s shipped and
what’s next.