Make (Integromat)
AutomationDesign advanced multi-step AI visibility workflows in Make with conditional branching, data transformers, and visual scenario building.
Make (Integromat) + AEO Platform
The AEO Platform module in Make provides triggers (Watch Mentions, Watch Citations, Watch Competitor Changes) and actions (Get Brand Summary, Get Engine Breakdown, List Queries). You drag these modules onto the Make scenario canvas and connect them to downstream modules from any of Make's 1,500+ supported apps.
Make's visual editor lets you add routers for conditional branching, iterators for looping through arrays, aggregators for combining data, and error handlers for retry logic. Each module passes structured data bundles to the next, and you can inspect the data at every step. Scenarios run on a schedule or can be triggered instantly via webhook.
Why connect Make (Integromat)
Build visually designed, multi-step automation scenarios with full conditional logic
Process and transform AEO data with built-in data mappers, filters, and aggregators
Handle errors gracefully with retry logic and fallback routing
Chain AEO Platform actions with 1,500+ other apps in a single scenario
Get started in 4 steps
Add the AEO Platform module
In Make, create a new scenario and search for AEO Platform in the module library. Add the trigger module you want to use.
Authenticate with your API key
Enter your AEO Platform API key when prompted. Make stores the connection securely for reuse across scenarios.
Design your scenario
Connect downstream modules, add routers for conditional paths, and configure data mappings. Use Make's built-in tools to transform, filter, and aggregate data as needed.
Test and schedule
Run the scenario once with test data to verify the output. Set the execution schedule — from every 15 minutes to once per week — and activate the scenario.
Make (Integromat) Integration FAQ
Works well with
Start with the pages and proof that AI can actually use
Run the free audit to see what blocks AI from citing your site. Use the trial when you need ongoing monitoring, attribution, prompt discovery, and team workflows after the first fixes are live.