AI agents for marketing teams
Automate the research, monitoring, reporting, and asset production loops that sit between strategy and execution.
Marketing performance reporting and narrative explanation
Marketers pull data from multiple platforms, reconcile discrepancies, prepare slides, and explain what changed.
Weekly performance digest
Summarize campaign, channel, and website performance into a weekly digest with notable changes and next actions.
Marketing data discrepancy detection and explanation
Detect metric mismatches across platforms and explain likely causes before reporting goes out.
Monthly report narrative
Draft the narrative layer of a monthly report from metrics, campaign notes, and business context.
For marketing, this usually starts with weekly performance digest or marketing data discrepancy detection and explanation. The useful version is narrow: clear sources, clear judgment rules, and an output the team can review before it moves into the workflow.
- Start with analytics exports, campaign data, and targets instead of asking the agent to understand the whole department.
- Return performance summary, movement explanations, and risks so the work has somewhere concrete to land.
- Keep source links, assumptions, and review flags visible so people can approve the result without reconstructing the run.
Content and campaign production
Content and campaign teams need research, briefs, competitive context, and tailored assets without repeating the same setup work.
SERP-informed content brief
Create a content brief from search results, competitor pages, product context, and internal messaging.
Landing page and one-pagers creation
Draft tailored landing-page sections and one-pagers for a segment, account, campaign, or vertical.
For marketing, this usually starts with serp-informed content brief or landing page and one-pagers creation. The useful version is narrow: clear sources, clear judgment rules, and an output the team can review before it moves into the workflow.
- Start with keyword, target audience, and product context instead of asking the agent to understand the whole department.
- Return search intent summary, outline, and differentiation angles so the work has somewhere concrete to land.
- Keep source links, assumptions, and review flags visible so people can approve the result without reconstructing the run.
Start with one marketing workflow
Pick the sources, review step, and output your team already handles manually. Handinger turns that repeatable work into an agent you can inspect and improve.
Related pages
Sales teams
Prepare better calls, keep deals moving, enrich accounts, and turn scattered sales context into next actions.
Customer support teams
Triage tickets, draft responses, maintain knowledge, and help support teams move faster without losing review control.
Finance and operations teams
Monitor funding opportunities, manage tender documentation, and keep evidence organized for high-stakes operational workflows.