Two researchers arrived at the same answer from opposite directions.

A pattern no one could explain

Kim Albee had been watching a pattern emerge across hundreds of B2B content programs. Companies were publishing consistently. Their posts were well-written. They ranked on Google. And yet, when buyers turned to AI systems — ChatGPT, Claude, Perplexity, Google’s AI Overviews — those same companies were invisible.

The conventional explanation was that AI search was unpredictable. That there was no system to it. Kim did not accept that answer.

As founder of Genoo and a recognized leader in B2B marketing strategy, she had seen firsthand what happened when content was built in silos: each post stood alone, no matter how good it was individually. The result was content that humans could find but AI couldn’t trust.

The question that changed everything

Her inquiry became a research project. How does AI actually learn? How does it decide what counts as expertise?

The answer she kept arriving at was not about keywords, schema, or question-and-answer formatting. It was about semantic relationships — the explicit, traceable connections between ideas that tell an AI system: this author doesn’t just mention this topic, they understand it.

A parallel discovery, from a different direction

What Kim did not know was that forensic SEO analyst Carolyn Holzman had arrived at a parallel conclusion more than a year earlier — from an entirely different direction.

Through years of rigorous daily indexation testing, Carolyn had built one of the most comprehensive long-term field research projects in the SEO industry. What that research revealed was something the industry had not yet understood: Google’s Helpful Content System was not a page-level measurement at all. It was a horizontal, domain-wide signal, evaluating topical coherence across an entire site rather than the quality of any individual post.

The disease and the cure

That discovery reframed the problem. Blogs with scattered categories, disconnected posts, and missing semantic bridges weren’t just underperforming individually — they were actively undermining their own authority signal at the domain level. The entire site was being penalized for a structural problem most site owners couldn’t even see.

Carolyn had identified the disease. Kim, working independently, had been building the cure.

Two researchers. One answer. One tool.

When Kim reached out to Carolyn to evaluate an early version of VizzEx, neither knew what the other had been working on. Within that first conversation it became clear: they had each spent time and effort investigating the same underlying problem — one through the lens of forensic SEO field research, the other through content strategy and AI discoverability — and had arrived at the same structural answer.

They decided to join forces. That collaboration is VizzEx, and the work of discovery continues.

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A strategic marketing expert specializing in SaaS, software, tech, and AI companies, with a career spanning three decades of building content programs that produce measurable, documented results.

She began in the 1990s leading digital content strategy at a major media company, transitioning print publications into the digital era. At a leading financial services firm she turned a $1.6M budget into $50M in revenue over three years, and developed an intranet application that saved the company $7 billion over the following seven years. She went on to found Genoo, a marketing automation platform for SMBs, and WPMktgEngine, which brought enterprise-grade marketing technology to WordPress users.

That pattern — seeing a structural problem others were working around, and building the solution — is what led to VizzEx. After years of watching otherwise strong blogs fail to generate authority, Kim recognized the problem wasn’t the content itself. It was the invisible architecture underneath it.

Kim has spoken at major industry events and has served on the faculty of CEOSpace International and as the Online Marketing Expert for BrightTalk’s The Sales Experts Channel.

An industry-leading Forensic SEO expert and the founder of the VizzEx Strategic Research Hub, whose career has been defined by empirical testing and the investigation of search engine indexation failures.

Since 2021, Carolyn has conducted one of the most comprehensive long-term indexation research projects in the SEO industry, monitoring the pulse of search algorithms through rigorous daily testing to identify the forensic patterns of indexing volatility that traditional tools miss.

Her most consequential discovery: the Helpful Content System is a topical measurement that functions horizontally across an entire domain, not in isolation on individual pages. That finding transformed the industry’s understanding of how domain-wide signals impact visibility and recovery, and it is the empirical foundation for VizzEx’s core methodology.

Carolyn is the creator and host of Confessions of an SEO, named one of Semrush’s Top 10 SEO Podcasts to Listen to in 2024. At VizzEx she applies her forensic data to develop Signal Architecture — engineering the structural signals and Binary Bridges required for machine-read verification.

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