No-code automation

AgentSEO + Make

Need search intelligence inside Make without building middleware first? Post to AgentSEO from an HTTP module, wait for the async result, and route only the outcomes worth acting on.

From a social thread? Copy the setup first, validate one live workflow, then decide whether it belongs in docs, automation, or your agent runtime.

Visual automationHTTP modulesClient reporting
Copy Make setupGet free API key

Why this page converts

Best for agency reporting, CRM handoffs, and alerting flows where SEO data should trigger the next business action.

Core workflows

What this page should convert

  • Push completed rank checks into client reporting workflows.
  • Trigger follow-up jobs when content decay detection crosses a threshold.
  • Enrich sales or success workflows with local SEO readiness data.

Setup snapshot

Make HTTP module example

POST https://www.agentseo.dev/api/v1/rank/track
Authorization: Bearer sk_live_...
Content-Type: application/json

{
  "keyword": "seo api for ai agents",
  "target_url": "https://www.agentseo.dev/",
  "location_code": 2840
}

Treat Make the same way as n8n in positioning: compatible through HTTP modules, not a native marketplace app yet.

Implementation plan

How to set it up

  1. 1

    Create an HTTP module that calls an AgentSEO endpoint with a Bearer API key.

  2. 2

    Map the JSON response into Make fields so decision signals and metrics stay available downstream.

  3. 3

    If the endpoint returns 202 with a jobId, add a polling branch for /jobs/{id}.

  4. 4

    Use routers and filters to send only act_now or high-priority outcomes into alerts and tickets.

Output shape

What users get back

  • Compact JSON that reduces field-mapping friction inside Make scenarios.
  • Deterministic response shapes across plans so scenario logic is more stable.
  • Async job support for workflows that should complete outside the initial HTTP step.

Limits

What to say plainly

  • No official AgentSEO Make app today.
  • Async polling adds a little orchestration overhead.
  • Large-scale scenario complexity can grow quickly without clear templates.

Visual flow

Make scenario shape

Make works best when AgentSEO becomes one evidence step inside a broader reporting or alert pipeline.

1

HTTP Module

Scenario posts to AgentSEO.

2

Async Status

Router checks queued job state.

3

Filter

Only weak movement or act_now outcomes continue.

4

Client Output

Report, ticket, CRM note, or email is generated.

Concrete example

Client reporting alert in Make

Track a priority keyword, wait for the async result, then route only negative movements into the client reporting scenario.

Make HTTP module request

POST https://www.agentseo.dev/api/v1/rank/track
Authorization: Bearer sk_live_...
Content-Type: application/json

{
  "keyword": "seo api for ai agents",
  "target_url": "https://www.agentseo.dev/",
  "location_code": 2840
}

Initial async envelope

{
  "jobId": "job_rank_456",
  "status": "queued",
  "poll_url": "/api/v1/jobs/job_rank_456",
  "events_url": "/api/v1/jobs/job_rank_456/events"
}
  • Use a router so only drops, weak rank snapshots, or failed checks create follow-up tasks.
  • Keep stable mapping around jobId and target URL so repeated checks stay attributable.
  • This is strongest for agency operations and periodic monitoring, not one-off ad hoc lookups.

FAQ

Questions this page should answer fast

Package-level docs

Should this page promise a native Make integration?

No. It should promise a tested HTTP workflow pattern and be explicit about that distinction.

What is the best first Make scenario?

A rank or content-gap workflow that ends in a report, ticket, or alert usually shows value fastest.