Structured context
Ads are normalized into fields AI can reason about instead of screenshots alone.
MCP mode
Let AI query your ad intelligence library.
Ventana is being prepared for MCP access so AI assistants can safely inspect structured ad data, reason about market patterns, and help teams turn creative research into better campaign decisions.
Example prompt
Find live B2B SaaS LinkedIn ads in the HR Tech library using pain-point angles, group them by advertiser, summarize repeated claims, and suggest three counter-positioning tests.
ad.search
Search normalized ads by query, advertiser, format, angle or objective.
ad.detail
Fetch the full captured payload for a single ad and original URL.
ad.compare
Compare advertisers or saved ads across repeated messaging patterns.
ad.saved
Read a user's saved examples as a private swipe file.
Assistant friendly
Ask natural language questions about objectives, angles, formats and source links.
Scoped access
MCP access should respect workspace, user and saved-ad permissions.
Human review
AI can summarize patterns, while campaign decisions stay with your team.
The MCP layer is planned as a research interface, not an autopilot.
The goal is to let AI read and compare your ad library, generate sharper questions, and surface patterns you might miss. It should not publish campaigns, mutate saved ads, or scrape new sources without explicit user action.
Want to test AI workflows now?
Use the app to save a set of ads, then ask your AI assistant to analyze the source links and captured messaging. Native MCP access is the next step.