Pipe AI visibility into your stack — or ask it from Claude
REST API, a hosted MCP server, the airankly CLI, and a Looker Studio connector.
Developers and data teams need visibility data in their own pipelines and tools — not locked behind a UI. And increasingly, they want to query it from inside their AI workflow.
What it does
- REST API over your full visibility dataset
- Hosted MCP server — query AI Rankly from Claude or Cursor
- airankly CLI for scripts and CI
- Flat time-series export and a Looker Studio connector
Common ways teams use this
Pull your visibility time-series into an internal BI tool via the REST API.
Ask Claude or Cursor directly about your AI visibility using the hosted MCP server, without opening a dashboard.
Script a daily visibility check in CI using the airankly CLI.
How it works
Get a key
Generate an API key from your dashboard.
Choose your surface
REST, MCP, CLI or the Looker connector — whatever fits.
Build
Pull visibility data into your pipelines and reports.
A hosted MCP server means you can ask your AI tools about your AI visibility — not just read a chart.
Who it's for
Related features
Integrations
Google Analytics + Search Console, WordPress/Webflow/Contentful/Ghost, webhooks/Zapier/Make.
AI Traffic
GA4 traffic broken down by AI platform — sessions, users, conversions and top pages.
Reports & white-label
Tokenized, white-label client reports that show visibility and the lift you delivered.
Frequently asked questions
What is the MCP server?+
A hosted Model Context Protocol endpoint so AI tools like Claude and Cursor can query your data.
Where are the docs?+
Full developer docs live at app.airankly.io/developers.
Is the API included on every plan?+
API access availability depends on your plan — check Pricing for details.
What can I build with the MCP server?+
Anything that benefits from asking an AI assistant about your AI visibility directly — no dashboard required.
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