Generate content performance recommendations
Pull engagement metrics from every channel, use AI content analysis to spot high and low performing topics and formats, and deliver AI content strategy recommendations in a scheduled report.

Copied
On a schedule (every [schedule frequency, e.g. weekly/monthly]), the automation pulls content performance metrics from [content publishing platforms] and [analytics tools], then aggregates engagement data by content type, topic, and channel. It uses [AI model provider] to identify high and low performing patterns and generate specific recommendations, such as optimal posting times, top performing content formats, and underperforming topic areas, then compiles these insights into a report delivered to the marketing team via [team communication channel, e.g. email, Slack].
Guided by AI
Build your own with Maia
Start with an app-agnostic prompt, then let Maia guide you to the right apps and workflow.
Adapt at speed with visual-first automation and AI
Make drives efficiencies, solves problems, and speeds innovation by breaking down silos across your business.
+2
Date
·
Duration
Problem
Content marketing teams publish across multiple channels but lack the time to systematically analyze which topics, formats, and messaging drive the strongest engagement. Manually reviewing performance data and identifying patterns is slow and tedious, and insights often come too late to inform the next content cycle or campaign adjustments.
.avif)
+2
Date
·
Duration
Solution
On a scheduled basis, the automation pulls content performance metrics from publishing platforms and analytics tools, aggregates engagement data by content type, topic, and channel, uses AI to identify high and low performing patterns and generate specific recommendations such as optimal posting times, top performing content formats, and underperforming topic areas, then compiles these insights into a report delivered to the marketing team.
.avif)
+2
Date
·
Duration
Impact
Content teams know which topics, formats, and channels earn engagement before planning the next cycle, so campaigns improve on evidence instead of guesswork.
.avif)
Benefits
+2
Date
·
Duration
Higher content engagement
.avif)
+2
Date
·
Duration
Faster planning cycles
.avif)
+2
Date
·
Duration
Reduced analysis effort
.avif)
+2
Date
·
Duration
Fewer underperforming posts
.avif)
Who is this for?
Success stories
Adapt at speed with visual-first automation and AI
Make drives efficiencies, solves problems, and speeds innovation by breaking down silos across your business.
Similar use cases
Find inspiration by the type of content that fits your goals.
Date
·
Duration
Generate timely content for every channel
An AI agent scans industry news feeds and social trends daily for relevant topics, decides which ideas are worth pursuing, and generates content tailored to each format and channel, then publishes each piece to the CMS and social scheduling tool. It chooses its approach based on the topic and audience rather than following one fixed template.
.avif)
Date
·
Duration
Compile market research reports
When a team member submits a research request form with a target market, research focus, and time frame, an AI agent runs web searches, decides which sources are credible and relevant, and keeps searching until the question is covered. It synthesizes the findings into a structured research document saved to the shared drive and sends the link to the requester.
.avif)


