About Us
The first horizontal content analysis tool built to make your blog’s expertise visible — to Google, to AI citation engines, and to the buyers who rely on them for answers.
Why VizzEx Exists:
The AI Visibility Problem No One Was Solving
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, Kim had spent years helping organizations build content programs that drove real engagement. 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: How Does AI Decide What Counts as Expertise?
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. And what that research had 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. It evaluated topical coherence across an entire site, not 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 the lens of 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.
What VizzEx Is: The First Horizontal Content Analysis Tool
VizzEx is the first horizontal content analysis tool designed to optimize blog content for what Google’s Helpful Content System and AI citation engines need to recognize and cite expertise: site-wide topical coherence, explicit semantic relationships, and current, well-maintained content.
A Different Kind of Analysis — Horizontal, Not Vertical
Where traditional SEO tools analyze individual pages in depth — a vertical approach — VizzEx analyzes an entire blog as a connected knowledge network. It identifies the architecture of that network: which posts are hubs, which are isolated, where the semantic bridges between ideas are missing, and which content is undermining topical authority rather than building it.
Semantic Clarity: The Signal AI Systems Trust
Semantic clarity is the mechanism by which AI systems understand, evaluate, and ultimately trust a site. The more coherent the topical signal — the more explicitly ideas relate to each other across a blog — the stronger the pull on AI attention. VizzEx is built to create exactly that effect: a topical vortex where every piece of content reinforces the site’s authority on the topics that matter most.
From Insight to Implementation: AI-Ready Linking Text Written in Your Voice
Then it does something no other tool does: for every semantic relationship it identifies — the explicit, reasoned connections between ideas that AI systems recognize as signals of real expertise — it writes the linking text in the blog’s own tone, ready to paste as HTML. Not a keyword match. Not an anchor text suggestion. A semantic relationship link: the actual sentence, with the connection explained and the link embedded. The step that stops most teams cold is already done.
VizzEx Integrations: WordPress, HubSpot, and Beyond
VizzEx is available as a WordPress plugin and a HubSpot integration (with more CMS support on the roadmap).
Built for Blogs of Every Size: From 5 Posts to Thousands
It is purpose-built for blogs with anywhere from an early developing blog with 5 posts to established blogs with hundreds or even thousands of posts — on the larger end, these are the content programs where the structural problems are real and the manual audit is genuinely impossible.
Meet the Founders of VizzEx
Kim Albee — Founder
Kim Albee is 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 sophisticated marketing technology to WordPress users — making tools previously available only to enterprise organizations accessible to smaller, growth-focused teams.
That pattern — seeing a structural problem others were working around, and building the solution — is what led to VizzEx. After years of working with content programs across industries and watching otherwise strong blogs fail to generate authority, Kim recognized that the problem wasn’t the content itself. It was the invisible architecture underneath it: the missing semantic connections, the incoherent topical structure, the maintenance work that nobody had a system to track. VizzEx is her answer to that problem.
Kim has spoken at major industry events and has been recognized as a Top 40 Digital Marketing Strategist. She has served on the faculty of CEOSpace International and as the Online Marketing Expert for BrightTalk’s The Sales Experts Channel.
Carolyn Holzman — Co-Founder and Forensic Signal Architect
Carolyn Holzman is an industry-leading Forensic SEO expert and the founder of the VizzEx Strategic Research Hub. Her career has been defined by empirical testing and the investigation of search engine indexation failures — uncovering the ground truth of how information is ingested, verified, and cited in the digital ecosystem.
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, now in its sixth season, named one of Semrush’s Top 10 SEO Podcasts to Listen to in 2024. At VizzEx, she applies her years of forensic data to develop Signal Architecture — engineering the structural signals and Binary Bridges required for machine-read verification, so a brand’s identity is not a guess for a crawler but a verifiable fact for the modern AI ingestion pipeline.
Our Mission:
Making Blog Expertise Visible to AI Systems
Most blogs contain far more expertise than AI systems can see. The problem is not the content — it is the architecture. Disconnected posts, uncategorized content, missing semantic bridges, and unmaintained pages all produce a signal that tells AI systems: this site does not demonstrate integrated expertise on any topic. No individual piece of quality content can overcome that structural verdict.
Turning Structural Invisibility Into AI-Cited Authority
VizzEx exists to change that. To make the invisible visible. To give content teams the system and structure that turns scattered tactics into a clear, coherent signal — one that Google and AI citation engines can read without effort. Because the easier it is for AI to recognize expertise, the more likely it is to cite it. VizzEx removes the noise. What’s left is the signal that makes a company the obvious authority.
VizzEx. Your expertise, made mappable for AI.