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.
Measuring ROI on AI Search: The Hardest Math in Marketing Right Now
Your Google Analytics says AI search traffic is a rounding error, but that buyer who just asked ChatGPT which B2B platform to shortlist? They're typing your competitor's name into their browser right now. The measurement canyon between what attribution shows and what's actually happening is keeping CMOs up at night, and I've got the three-layer stack to fix it.
State of Search 2027: What to Stop, Measure & Fund
Google's zero-click rate hit 68% in 2026, and if you're still running your old search playbook, you're optimizing for a game that's already changed the rules. Here's what to stop, what to measure, and where to put your 2027 budget.
Beyond Content Parity: Building a Validated Content Workflow for AI Search
Your content ranks on page one, your SEO team is celebrating, and ChatGPT has never heard of you. Welcome to the new normal where 'good enough' content gets you nowhere, and only 11 percent of domains are cited by both ChatGPT and Perplexity.
Google's AI Search Reporting Gap: What the Admission Means for Your Pipeline
Google just admitted Search Console's AI search reports don't give you the position data you need, and they're not racing to fix it. Here's what that means for your attribution models and what to do about the measurement gap affecting half of all queries.
The 2003 Framework That Was Already Doing Query Fan-Out
Turns out, that 'old school' nested keyword technique from 2003 was doing something we now call query fan-out, about two decades before anyone gave it a name. And in a world where AI systems generate hundreds of millions of novel queries daily, that prophetic approach is the only game worth playing.
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.
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.
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.
Your Org Chart Was Built for a Search Engine That's Disappearing
Which line item in your marketing budget owns whether ChatGPT recommends you? The silence that follows that question in planning meetings tells you everything, we've built entire departments around a funnel that assumes buyers click search results, but increasingly, they just ask an AI and get three vendor names.