Boston, MA, February 25, 2026 — DemandScience today announced the launch of Content-IQ, a proprietary system designed to help B2B organizations restore authority, improve AI visibility, and convert content from a volume-driven activity into a measurable pipeline engine.

The announcement follows findings from DemandScience’s 2026 State of Performance Marketing Benchmark Report, which show that 25 percent of marketing budgets are wasted on efforts that fail to drive outcomes, 76 percent of organizations create content without verified buyer signals, 72 percent believe AI-generated content is harming brand distinction, and 81 percent report that half or less of their content drives measurable pipeline impact.

“As AI systems increasingly determine what gets seen, cited, and trusted, content that isn’t structured for algorithmic authority simply disappears,” said Derek Schoettle, CEO of DemandScience. “The market is facing a content effectiveness crisis. Content-IQ provides a structured, data-driven system that aligns content strategy with how algorithms and buyers actually make decisions.”

From Keyword Optimization to Authority Networks

Content-IQ unifies DemandScience’s AI Visibility Optimization, Content Architecture & Strategy, and Web Personalization capabilities into a single pipeline- and revenue-aligned system.

At its core is patented content opportunity scoring technology (U.S. Patent No. 11,468,139), now owned by DemandScience. This proprietary model analyzes topic ecosystems and behavioral search connectivity to prescribe structured, pillar-based content architectures that build authoritative topic networks rather than isolated pages.

Rather than chasing individual keywords, Content-IQ maps how real buyers explore topics and translates those patterns into structured content clusters and internal linking strategies. The result is what DemandScience calls machine-trustable authority: content positioned not only to rank in traditional search, but to be selected by AI systems and surfaced in AI Overviews and LLM-driven responses.

DemandScience is already deploying Content-IQ across active enterprise client engagements, where organizations are restructuring existing content ecosystems to improve AI discoverability and increase marketing yield.

Content-IQ in Action: Attract, Understand, Activate

Content-IQ connects visibility to engagement and activation through a three-step system.

First, it ensures brands are seen. Through AI Visibility Optimization and structured content architecture, Content-IQ casts a wider net across both search engines and large language models. By building authority networks rather than isolated pages, brands increase qualified traffic and improve their likelihood of selection in AI-generated responses.

Second, it enables organizations to understand who is engaging. Content-IQ supports tracking how target accounts and personas interact with content across the website. Organizations can evaluate whether priority segments are engaging with the right topics and whether content is resonating with the audiences that matter most.

Third, it enables immediate activation. When high-value segments engage, Web Personalization dynamically adapts messaging and content experiences in real time. Rather than reporting engagement weeks later, teams can present the most relevant next interaction at the moment of engagement.

This progression transforms content from a publishing exercise into a coordinated system that connects authority building, buyer intelligence, and on-site activation.

Customer Zero: Demonstrated Impact

To validate the Content-IQ system, DemandScience applied the methodology to its own website using B2B Display Advertising as the pilot topic.

After analyzing the full topical search network, DemandScience used patented connectivity scoring to identify the most authoritative topic clusters and prioritize 12 articles. Each article was developed and published within a structured pillar architecture, with deliberate internal linking designed to reinforce contextual authority and machine trust.

The impact was measurable and rapid. Within four days, the average keyword ranking across the cluster improved from position 85 to 34. The initiative generated multiple new Page 1 rankings and achieved inclusion in AI Overviews for high-traffic terms within five days. By optimizing for connectivity and topical authority rather than isolated keywords, the program positioned the content for broader inclusion in AI and LLM-driven discovery systems.

“Optimizing for the broader topical network, not isolated keywords, dramatically accelerates visibility across both search and AI systems,” said Bill Hobbib, Chief Marketing Officer of DemandScience. “Structured authority outperforms content volume.”

Why Content Structure Directly Impacts Marketing Yield

When authority-driven content increases qualified traffic, organizations can see which priority segments are engaging and adapt experiences accordingly. Paid media drives traffic to structured authority hubs, engagement is tracked at the account level, and personalization aligns the next interaction with buyer intent. The result is stronger yield from the same marketing investment.

“Paid programs amplify whatever foundation you give them,” said Hobbib. “If your content isn’t aligned to real buyer behavior and algorithmic trust signals, you amplify inefficiency. If it is, you amplify yield.”

Content-IQ is available immediately as a strategic system applied across DemandScience’s AI Visibility Optimization, Content Architecture & Strategy, and Web Personalization solutions.

For more information, visit demandscience.com/solutions/content-iq/.