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Technique
reporting

REST API & Webhooks

APIs and webhooks let AI visibility data flow into other systems. This page explains how they work and what to look for in a monitoring tool.

This capability was part of the paid AEO Platform product, which closed on 2026-10-02. It is not available. This page explains the technique for reference.

Quick answer
A REST API gives programmatic access to a tool's data. For AI visibility, that data includes mentions, scores, audit findings, action items, and competitor measures. If a team builds custom dashboards, feeds a data warehouse, or automates workflows in other tools, an API is the integration backbone. Look for consistent pagination, filtering, and sorting.
How it works

REST API & Webhooks in detail

With an API, a developer generates an API key, each with a defined scope and rate limit. Requests are authenticated with bearer tokens and return JSON. Useful APIs support filtering, pagination, sorting, and field selection on all endpoints.

With webhooks, you specify an endpoint URL, the event types to subscribe to, and an optional secret for HMAC signature verification. When a subscribed event occurs, the sender posts a JSON payload with the event type, the affected resource, and relevant data. Your endpoint should verify the signature and return a 2xx status. Senders should retry failed deliveries with exponential backoff.

Common integration patterns are piping mention data to a data warehouse such as Snowflake or BigQuery, posting messages to team chat through a webhook, sending audit results into Jira or Linear for task tracking, and building client-facing dashboards from API data.

Benefits

Why REST API & Webhooks matters

1

Access visibility data programmatically through a RESTful API

2

Receive event notifications through webhooks without polling

3

Integrate AI visibility data into data warehouses, BI tools, and custom dashboards

4

Authenticate with bearer tokens and verify webhooks with HMAC signatures

5

Use OpenAPI documentation to speed up integration work

Use cases

When to use REST API & Webhooks

A data engineering team pipes daily mention data to BigQuery for cross-channel attribution analysis.
A DevOps team configures webhooks to create Jira tickets when critical audit findings appear.
An agency builds a white-label client portal that pulls data from a monitoring tool's API.
A growth engineer triggers an automation workflow when Share of Model drops below a threshold.
FAQ

REST API & Webhooks FAQ

Related terms

Key concepts

AI Visibility PlatformAI Monitoring DashboardAI Crawler Analytics
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AI visibility alerts notify a team when mentions, sentiment, or citations change. This page explains how baselines and thresholds make such alerts useful.

Action Plans

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An AEO action plan turns audit findings and visibility gaps into prioritised now, next, and later tasks. This page explains the technique.

PDF Reports

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An AI visibility report summarises mentions, Share of Model, competitors, and actions for stakeholders. This page explains what a good report contains.

Shareable Dashboards

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Shareable dashboards give stakeholders a live view of AI visibility data through a link. This page explains the technique and the access controls to look for.

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