DataWorks
Without visibility, you're flying blind. Without correlation, you're guessing.
Google's Agentic Shopping Bet: What the GML 2026 Announcements Mean for Your Pipeline
While OpenAI retreats from native checkout after disappointing merchant results, Google doubles down with expanded Universal Commerce Protocol integration across Search, YouTube, and Maps. The question isn't whether agentic commerce will matter—it's whether your pipeline models are ready for a $190-385 billion shift in how customers discover and buy.
Don’t trust the dashboard: a 5-question QA for AI analytics
A practical 5-question audit marketing leaders can run in 10 minutes to validate AI-generated analytics, assumptions, and metric provenance before decisions.
AI Mode ads change search. Measure the lift, not the clicks.
Google’s AI Mode adds Gemini-powered ad formats; this ops-ready playbook shows how to test incrementality with a holdout before scaling spend.
Your SEO didn’t fail. Your visibility did.
A practical way to measure and regain AI-era demand gen: run a visibility holdout that ties AI answers and citations to qualified pipeline lift.
Google’s AI search memo: stop renaming SEO
Google says AEO and GEO are still SEO for AI Overviews—so focus on crawl/index fundamentals and make content more citable, not more gimmicky.
If you build a CRM with Claude, start with audit logs
A practical audit-first checklist for DIY CRMs: prove changes, execute GDPR erasure within ~30 days, and protect deliverability with SPF/DKIM/DMARC.
Make AI ads smarter by fixing one signal: conversion data
In 2026, AI ad automation amplifies tracking mistakes; this playbook shows how to harden one pipeline-quality conversion signal and test it safely.
A C+ for agent-ready APIs: the B2B bottleneck
An AI Agent API report card graded 144 B2B APIs at 71/100; here’s what it means for true agents and the one ops experiment to run now.
Snap’s unified attribution: one move to make iROAS believable
Snap’s 2026 Unified Attribution ties Snap optimization to MMP data, giving demand gen teams a practical path to validate iROAS beyond platform dashboards.