Markifact is an AI marketing automation platform built around three ways of working: AI agents, workflows and an MCP server. Marketers describe a task and an agent builds campaigns, adds negative keywords, creates presentations or analyzes performance across Google Ads, Meta Ads, GA4, TikTok Ads and other channels. Over 1000 operations are available, and nothing goes live without approval, which can be given in chat or through Slack. Workflows run manually, on a schedule or on a trigger, and users can get started free.
Performance marketers, in-house growth teams and agencies managing many client accounts are the main users. SEO specialists can use automated reporting, ad ops staff can bulk upload creative, and analysts can replace manual audits. The page cites more than 10,000 marketers. Teams that prefer their own AI client can connect through MCP, and Markifact accepts custom agents and the user's own API keys for models such as OpenAI.
Popular workflows illustrate the use cases: consolidated monthly Google and Meta Ads reports built in Google Slides, a Meta Ads bulk uploader that creates dozens of ads from one Google Sheet, a Google Ads audit with over 40 automated checks, a Meta Ads audit covering over 100 data points, a competitor ads spy that exports ads from Google, Meta, LinkedIn and TikTok into Sheets, and a monthly SEO report filled from Search Console and GA4. Agents can also run root cause analysis, refresh Meta creatives and fix GTM tracking. Over 100 templates give a quick start.
