DataWorks
B2B Marketing Data, Attribution & Analytics
Without visibility, you're flying blind. Without correlation, you're guessing.
Most marketing teams are rich in dashboards and poor in answers. DataWorks covers attribution, measurement infrastructure, and the intelligence layer that makes every other marketing investment legible.
Without visibility you are flying blind; without correlation you are guessing — this section is about replacing both with evidence.
What High-Citation Brands Do Differently in AI Search: The 2026 AEO Playbook
Sixty-eight percent of Google searches now end without a click, and only 20% of marketing teams are doing anything about it. Here's the uncomfortable truth about why your traffic is down while your rankings stayed the same, and the structural shifts that separate cited brands from invisible ones.
SaaStr's Headless Salesforce Bet Exposes the Question Every Ops Team Is Dodging: Who Owns the Surface?
SaaStr's headless Salesforce experiment shows real results, but the ops question most teams skip is surface governance. Here's what to stress-test first.
Schema for AI Citations: How to Become a Trusted Source
Let me save you some time and a few thousand dollars in consulting fees: schema markup is not going to get you cited by ChatGPT. The brands winning AI citations in 2026 aren't the ones with elaborate schema implementations, they're the ones AI systems can actually understand, verify, and trust.
MCP Is the Integration Layer Your AI Stack Has Been Missing
Your martech stack has 50 tools, each with its own API and authentication dance. MCP is the protocol that finally lets AI agents talk to all of them through a single, standardized connector, and the integration economics should get your CFO's attention.
LinkedIn Ad Scheduling Tools: The CFO-Safe Buyer's Guide for B2B Teams
LinkedIn Campaign Manager will happily serve your ad at 3 a.m. and charge full price for it. For B2B teams spending $6K+ monthly, that gap between 'always on' and 'on when it matters' can mean 20-30% of budget landing in dead windows. Here's how to fix it.
The Technical Signals AI Search Uses That Most SEOs Still Aren't Optimizing
Nearly 90% of brands are completely invisible to AI search, and it's not because they're bad at SEO. We've been teaching AI to read our content while forgetting to teach it what we actually mean. The brands that figure out this distinction now will own the citations while everyone else optimizes for rankings that matter less every quarter.
What Is Agentic Marketing? A 2026 Guide for Marketers
Seventy-six percent of B2B orgs are deploying agentic AI in marketing, yet Gartner predicts 40% of these projects will fail. The difference between success and a $340K write-off? How you scope, measure, and govern the work.
Google Finally Shows You Where AI Is Eating Your Traffic
For three years, marketing leaders have been flying blind on AI's impact on search visibility. Google just handed us the instrument panel we've been missing, and the implications for content ROI are significant.
Building a Content Strategy for the AI Search Customer
Your buyer just asked ChatGPT which B2B platform solves their problem. Your competitor got mentioned. You didn't. If your content strategy hasn't caught up to AI search, you're not just behind, you're invisible at the moment of decision.