Pipe AI visibility into your stack, or ask it from Claude

A hosted Model Context Protocol endpoint that lets AI tools such as Claude and Cursor query your AI Rankly data directly, so you can ask about your visibility inside the tool you are already working in instead of opening a dashboard. It is included on every plan, Starter upwards, and gives read access to your own workspace. In practice it is the quickest way to answer a one-off question like which prompts lost ground this week.

The REST API, the airankly CLI and the Looker Studio connector are Professional and Enterprise features. Starter includes data exports in CSV, Excel and JSON plus the hosted MCP server, which covers most one-off and analysis needs but not scheduled programmatic pulls. If you are choosing a plan specifically to build a pipeline, that is the line to check, alongside engine coverage and prompt volume.

Full developer documentation lives at app.airankly.io/developers, covering authentication, the REST endpoints, the CLI and the MCP server. You generate an API key from your dashboard, and keys are scoped to your workspace. If something in the docs is wrong or missing, Support@airankly.io is the fastest route to a fix: support runs Monday to Friday, 8:00 AM to 6:00 PM CT, with priority response targets on Professional and Enterprise.

Your visibility dataset: prompts, per-engine results and positions, mention and sentiment status, citations, and the time series behind the charts, along with the stored answer text so any figure can be traced to the response that produced it. It is read access, deliberately: the API exists to get your data into your pipelines and reports, not to drive changes to your account. A flat time-series export is there for anyone who would rather skip pagination.

Yes, and agencies commonly do: pull the time series per brand through the REST API or the Looker Studio connector and render it in your own reporting. Both are Professional and Enterprise features. If you would rather not build anything, tokenised white-label report links are on every plan and give a client a live, branded view with no login, which is usually enough until AI visibility needs to sit next to other channels.

Check the developer docs at app.airankly.io/developers for the current limits rather than a number printed in marketing copy that will go stale. The point worth designing around is the cadence: tracking runs on a daily cycle, so the underlying data changes once a day and polling more often will not return anything new. A scheduled daily pull is the pattern the CLI and the Looker Studio connector are built for.