AI agents for ad ops that automate QA, pacing, reporting, and performance checks across major ad platforms.
AgentMark is an AI-powered platform for ad operations teams. It automates QA, pacing, reporting, and performance checks across Meta Ads, Google Ads, TikTok Ads, and Microsoft Ads. Built for agencies managing multiple brands, it provides prebuilt agents for pre-launch QA, pacing guardrails, weekly reports, link/UTM validation, and performance spike detection. The platform integrates with Slack, email, and various ad platforms, offering real-time alerts, summaries, and drafted next steps. It includes a memory system that retains institutional knowledge across brands and campaigns. AgentMark aims to reduce manual ad ops work, catching issues before clients do, and provides a single source of truth for performance questions.
Key Features
check_circlePre-launch QA checks
check_circlePacing guardrails with daily spend alerts
check_circleInstitutional memory across brands and campaigns
check_circleReal-time alerts in Slack
check_circleCopilot for performance questions
check_circleMulti-platform support (Meta, Google, TikTok, Microsoft)
check_circleIntegration with Slack, email, and analytics tools
check_circleSOC 2 compliant
check_circleAudit trails and run logs
Use Cases
lightbulbAgency ad ops managers automate pre-launch QA across 9 campaigns, catching naming mismatches and UTM errors before clients see them, reducing launch delays by 80%.
lightbulbMedia buyers set up pacing guardrails to receive daily spend alerts when accounts fall behind budget, enabling proactive adjustments instead of end-of-month surprises.
lightbulbPerformance teams use weekly report agents to generate client-ready summaries from multiple ad platforms, cutting reporting time from 4 hours to 15 minutes per account.
lightbulbAd ops leads deploy link and UTM validation agents that scan all campaign URLs before launch, preventing broken tracking that could lose days of conversion data.
lightbulbAgency heads of ops use the Copilot feature to ask performance questions across brands, getting answers that reference live metrics and historical notes, replacing manual data pulls.
lightbulbNew hires access the institutional memory system to quickly learn campaign notes and past decisions across 20 ad accounts, reducing onboarding time from weeks to days.
lightbulbEnterprise marketing teams monitor performance spikes with anomaly detection agents that flag unusual CPC or CPA changes, enabling rapid response to market shifts.
