Introducing the GEOpta API: build GEO into anything

The GEOpta API is a REST interface that exposes your AI-visibility data and the actions behind it as programmable endpoints. With it you can pull visibility scores, citations, share-of-voice and AI-traffic attribution into any system as clean JSON, trigger scans and audits from your own code, receive webhooks when something changes, and let AI agents query GEOpta as a tool. In short: everything the GEOpta dashboard does, you can now do from a curl command, a cron job, or your product's backend.

What the GEOpta API is for

GEOpta is built by Dribble Software Private Limited to measure, fix and prove how visible your brand is inside AI answers from engines like ChatGPT, Gemini, Perplexity and Google's AI surfaces. The dashboard at geopta.com is where most people start. The API is for everyone whose workflow lives somewhere else — in a data warehouse, a CMS, a client-reporting tool, or an autonomous agent.

If you have ever wanted to chart your AI-visibility trend next to your organic traffic, kick off a scan the moment a campaign goes live, or have your own product tell users whether their page is ready for AI shopping agents, the API is how you do it without manual exports.

Who it's for

• Agencies onboarding many clients who need bulk scans and data synced into a single reporting stack. See GEO for agencies for the playbook.
• Data and analytics teams who want AI-visibility metrics living next to GA4 and revenue data rather than in a separate tab.
• Product teams embedding AI-visibility checks, agent-readiness audits, or pre-publish citation predictions inside their own software.
• Builders of AI agents who want GEOpta as a callable tool through MCP.

What you can build with it

The API splits cleanly into two kinds of calls: reads that return data, and writes that start work. Here is the shape of what each enables.

Capability	What it does	Example use
Scorecard reads	Return visibility score, accuracy, citations and share-of-voice as JSON	Pipe a client's trend into a Looker dashboard
AI-traffic attribution	Surface which AI engines sent visitors and what they converted to	Join GEO data with GA4 revenue
Trigger a scan	Start an async run of your prompts across every engine	Re-scan automatically after a content launch
Page / agent-readiness audit	Check a URL for AI-shopping-agent and citation readiness	Block a publish until a product page passes
Citation-lift prediction	Estimate how a draft will perform in AI answers	Score drafts inside your CMS before publishing
Generate GEO assets	Produce schema, an llms.txt file, and FAQ markup	Auto-add machine-readable structure at build time

Pull your data anywhere

Every metric you see in the dashboard is available as a read endpoint: visibility scores, competitive share-of-voice, citations, accuracy, AI-traffic attribution and full-funnel ROI. Because the response is plain JSON, wiring it into Looker, GA4, HubSpot or an internal dashboard is a normal integration job — no scraping, no screenshot exports. A single read looks roughly like GET /v1/clients/acme/scorecard.

Trigger work from your stack

Write endpoints let your systems start GEOpta work with a POST: kick off an async scan, run an ad-hoc prompt across every engine, audit a product URL, predict a draft's citation lift, or generate schema and FAQ assets. Because scans are asynchronous, you fire the request and get notified when it finishes rather than holding a connection open.

Get pushed, not polled

Subscribe to webhooks for scan, alert and remediation events. They are HMAC-signed so you can verify they came from GEOpta, and you can route them straight into Slack, GA4 or HubSpot. This is how you build "tell me the moment a competitor overtakes us" without a polling loop. Because scans run asynchronously, the webhook pattern is also the cleanest way to know a long-running scan has finished: you fire the request, your endpoint stays free, and GEOpta calls you back with the result.

Common automations teams build on top of webhooks include alerting a channel when a tracked brand's visibility drops below a threshold, re-running a citation prediction whenever a draft changes, and writing every scan result into a warehouse table so the data team owns the historical record. The same metrics covered in AI visibility metrics are exactly what these payloads carry, so you can decide which thresholds are worth an alert.

Let agents use it

A built-in MCP server exposes GEOpta as a tool, so an agent in Claude, Cursor or your own framework can ask "how visible is this brand in AI answers?" and then act on the result — for example, drafting a fix and re-checking it. If you are thinking about agent-driven workflows, the patterns in how AI engines pick brands explain what the agent should optimise for.

Pricing model: pay-as-you-go

The API is designed to feel like the developer tools you already use: account → key → credits → build. You create a free account, mint an API key, and buy credits that don't require a subscription. As a general rule, read endpoints are free and each scan or AI action consumes credit. Exact credit costs and limits are listed in the live API reference rather than here, so this post stays accurate as they evolve — treat any number you remember as an estimate and confirm against the docs.

Keys, scopes and sandboxes

Keys are scoped — you can issue read-only or write keys depending on what a service should be allowed to do. Sandbox-style test keys let you build and verify an integration without spending on real scans, which makes it safe to ship the integration to staging first. Mint and manage keys under Developer & API in the dashboard.

How it fits the rest of GEOpta

The API is not a separate product; it is the same engine that powers the dashboard, made callable. That matters because GEO is a loop — measure, understand, fix, prove — and the API lets you automate any stage of it. A useful first step before writing a line of integration code is to see where you actually stand: run a quick check with the free AI Visibility Score, then decide which endpoints you need.

If you are weighing GEOpta against monitoring-only tools, the API is a real differentiator — many trackers report numbers but don't let you act on them programmatically. The comparison in GEOpta vs Profound vs Otterly vs Peec AI covers where that line falls, and the platform launch walks through everything else GEOpta ships beyond the API.

When you're ready, grab a free AI Visibility Score to baseline your brand, then mint a key and start pulling that data into wherever your team already works.

Frequently asked questions

What can I build with the GEOpta API?

You can pull AI-visibility data such as scores, citations, share-of-voice and AI-traffic attribution into your own dashboards or warehouse, trigger scans and page audits from your code, generate GEO assets like schema and FAQ markup, receive webhooks when visibility changes, and expose GEOpta as a tool that AI agents can call through MCP.

Do I need a subscription to use the API?

No. The API is pay-as-you-go. You create a free account, mint an API key, and buy credits without committing to a plan. As a general rule read endpoints are free and each scan or AI action consumes a credit.

How much does each API call cost?

Read endpoints are generally free and write actions like scans consume credits, but exact credit costs change over time, so the live API reference is the source of truth. Treat any specific number you have seen as an estimate and confirm it in the docs before budgeting.

Is there a way to get notified instead of polling for results?

Yes. You can subscribe to webhooks for scan, alert and remediation events. They are HMAC-signed so you can verify the sender, and you can route them into tools like Slack, GA4 or HubSpot.

Can an AI agent use GEOpta directly?

Yes. GEOpta ships a built-in MCP server that exposes its capabilities as a callable tool, so agents in Claude, Cursor or your own framework can query a brand's AI visibility and act on the answer.

How do I keep my API keys safe?

Use scoped keys so a service only gets the read or write access it needs, and use sandbox-style test keys to build and verify integrations without spending on real scans. Manage all keys under Developer and API in the dashboard.