API-first

Your visibility data should be yours to do anything with. Visiblee is API-first by design: the dashboard is just one view onto a clean API that you can call from your own code, agents, and tools.

# Pull your visibility for a domain
curl https://api.visiblee.app/v1/visibility?domain=acme.com

{
  "score": 72,
  "mentioned_rate": 0.68,
  "avg_rank": 2.4,
  "engines": ["chatgpt", "gemini", "perplexity"],
  "updated_at": "2026-06-12T09:00:00Z"
}

What “API-first” means

In a lot of products the API is an afterthought — a partial, lagging mirror of the UI, gated behind the top pricing tier. API-first means the opposite: the API is the product, and the dashboard is a client of it. Anything you can see, you can fetch. There’s no feature that exists only inside the UI and nowhere you can reach programmatically.

What you can build with it

Once your visibility data is a clean endpoint away, it stops being a dashboard you visit and becomes a signal you can wire into anything:

• Alerts — post to Slack when your score drops or a competitor overtakes you on a key prompt.
• Your own dashboards — pull visibility into the BI tool or internal board your team already lives in.
• CI and content workflows — check visibility after you ship a comparison page, or gate a launch on it.
• Agents — let an internal agent read your standing and decide what to write or fix next.

Your data is yours

Lightweight goes for the data too. It’s exportable, it’s structured, and there’s no lock-in designed to keep it trapped inside our walls. You’re not renting a view of your numbers; you’re getting the numbers.

Built the way devs expect

Predictable REST, JSON in and out, sensible defaults. If you’ve used a well-made API before, ours will feel familiar in minutes — which matters, because developers are a big part of who we build for.

Let your own agents use it

This is the part we’re most excited about. The REST API above covers monitoring: read your scores, pull the raw data, wire it into whatever you’re already running. Alongside it, we also ship a write-capable MCP (Model Context Protocol) server — roughly 40 tools that mirror almost the entire API, plus actions the API alone doesn’t give you: add, update, or delete a tracked prompt, change which engines and regions you track, and trigger the AI content agent itself, which runs its own evidence → competitors → brief → draft → audit → polish pipeline to produce a citation-grounded article.

It supports full OAuth 2.0 dynamic client registration, so you can install it directly as a connector inside ChatGPT or Claude — no API key wrangling, no custom integration to write. That means an agent living inside a tool you already use can query your visibility data and act on it: add a prompt to track, or kick off a content draft, without a human going through the dashboard to do it. Most GEO tools we’ve seen stop at a read-only feed for agents to watch; ours can also be told to do something.

It pairs naturally with everything else we do: zero setup to start, cheap to run at scale.