Act-On vs Gumloop
Side-by-side trajectory, velocity, and editorial themes.
Marketing-blog feed crawled as a changelog — thought-leadership posts, no product releases.
The tracked feed is Act-On's marketing blog: posts on AI in marketing, deliverability policy changes, and vertical playbooks for manufacturing and financial services. These are content-marketing pieces, not product release notes. As product signal, they carry no information about what shipped in the platform.
The feed will keep publishing SEO-oriented thought leadership, heavily weighted toward AI-in-marketing themes and industry verticals. No product-development trajectory is visible from this source.
Expect more blog posts on AI, lifecycle marketing, and vertical strategies. To track actual Act-On product changes, the crawl source needs pointing at a release-notes feed rather than the blog.
Gumloop Brain grounds agents in company knowledge as the platform races toward agent ops
Gumloop is a fast-shipping agent-automation platform, and its changelog is a steady stream of MCP connector growth, new model support, and agent-governance controls: credit thresholds, chat evaluations, per-agent analytics, and access requests. The standout in this window is Gumloop Brain, a permission-scoped company knowledge base that lets agents answer from real content across Drive, Notion, Slack, and Confluence with citations. Around it sit incremental wins: 160-plus new connectors, usage-based workflow billing, agent-owned credentials, and DocuSign and ClickUp connectors going GA.
The arc points squarely at enterprise-grade agent operations: grounding agents in company data, metering spend by token usage, adding per-agent analytics and credit governance, and widening the connector surface. Gumloop is positioning itself as the control plane for company agents rather than a workflow builder, with reliability and admin controls maturing release over release.
Expect Gumloop Brain to deepen with more sources and retrieval controls, and the usage-based billing shift to bring further spend-management and enterprise-tier features. The connector-and-model cadence will continue as table stakes.
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