Proprietary Assets: A New SEO Strategy for Withstanding Google Core Updates

Google core updates frequently hit content sites hard—but what kind of sites hold their traffic more steadily? Zyppy's analysis of roughly 400 websites offers a clear signal: sites with "proprietary assets" survive algorithmic turbulence at a notably higher rate.

What the Zyppy Research Found

This analysis, published by Cyrus Shepard in Zyppy Signal, examined the characteristics that distinguished winners from losers over the previous 12 months (including the March 2026 core update). Data came from Ahrefs traffic metrics, and Spearman correlation coefficients were used to quantify the relationship between site characteristics and traffic changes.

The most striking comparison: 92.9% of winning sites had proprietary assets, versus only 57.1% of losing sites. Proprietary assets ranked third among the five predictive characteristics—behind "offers a product or service" and "lets users complete tasks," and ahead of "focused vertical topic" and "strong brand."

It's important to stress that this is correlation, not causal proof. The research doesn't claim that having proprietary assets guarantees you'll weather core updates—but it reveals a pattern: among sites with more resilient traffic performance, differentiated, hard-to-replicate resources are clearly more common.

Spearman correlation coefficient is a non-parametric statistical method that measures the strength of a monotonic relationship between two variables, ranging from -1 to 1. Unlike the Pearson correlation coefficient, it doesn't require data to be normally distributed or assume a linear relationship—it's calculated based on the ranks of the variables. In this study, researchers used Spearman correlation to quantify the degree of association between site characteristics (such as whether a site has proprietary assets or offers a product or service) and traffic changes. A positive value indicates the characteristic is positively correlated with traffic growth, a negative value indicates a negative correlation, and the closer the absolute value is to 1, the stronger the association. This method is well-suited to SEO data containing categorical or ordinal variables, but it likewise only reveals correlation and cannot establish causation.

Why Proprietary Assets Are Worth More in the AI Search Era

The weight of this finding becomes clearer in the context of AI search. As search results pages increasingly present concise answers directly, and as AI summary systems compress public information into a paragraph, pages that merely "rewrite public information" lose their reason to be clicked—they can be easily replaced by any competitor or any summarization tool.

Proprietary assets change the structure of this game. They might be exclusive datasets, internal tools, process knowledge accumulated over time, real experience from product use, or first-hand material that only your organization possesses. This kind of content can't be "rebuilt from public sources," so it constitutes both real value to users and a replication barrier against competitors.

The other four characteristics in the Zyppy research actually reinforce each other: a site that offers a clear product, helps users complete tasks, stays focused on its topic, and has a recognizable brand already has reason to be preferred by users; proprietary assets then crystallize that reason into information or tools that exist "only here."

AI summaries (such as Google's AI Overviews or Bing's Copilot answers) are synthesized answers generated directly at the top of search results pages, extracting and compressing information from multiple sources so users can get the core information without clicking a link. The impact of this mechanism on content sites is structural: when a user's question can be answered directly by AI using public information, pages that merely aggregate or rewrite information lose their click value. AI summary systems tend to cite authoritative, unique, first-hand sources rather than generic content farms. As a result, sites with exclusive data, tools, or deep experience are more likely to be selected as cited sources in AI summaries—sometimes even with links attached—preserving brand exposure and traffic entry points even amid the "zero-click" trend.

A Practical Proprietary Asset Strategy

Incorporating proprietary assets into content planning rather than treating them as occasional marketing campaigns is the practical direction this research suggests. You can proceed through the following steps:

Audit Your Existing Assets

List the information, tools, processes, data, or product knowledge that your organization truly controls and can maintain long-term. The key phrase is "can maintain"—a database that's built and then left unattended isn't an asset; it's a liability.

Run the Replaceability Test

For each page, ask: could a competitor build an equivalent page using only public sources? If the answer is yes, that page needs more original input or real utility. This test is simple, but it separates "looks professional" from "genuinely unique."

The replaceability test is rooted in how "unique value proposition" maps to SEO. If a page can be equivalently rebuilt by a competitor using only public sources, it lacks information gain and is easily classified as "generic content" in algorithmic evaluation. Google's Search Quality Rater Guidelines emphasize "whether the page provides original information, in-depth analysis, or a unique perspective," and the replaceability test is a simplified operationalization of that standard. In practice, you can ask three questions: Does the page's core information come from first-hand experience or exclusive data? How much would it cost a competitor to replicate the page? Can users obtain this information or tool only from you? If the answers lean negative, the page needs more proprietary assets injected. This test can't directly predict rankings, but it helps identify weak spots in your content portfolio.

Connect Assets to User Tasks

The "task completion" characteristic in the research is worth comparing against. Do your proprietary resources help visitors make decisions, evaluate options, or complete a meaningful next step? If assets are merely decorative, their impact on search performance and user retention will be discounted.

Maintain Topical Coherence

Proprietary resources need to sit within a focused topic area to support the site's overall content strategy. An "exclusive tool" unrelated to the site's main theme is unlikely to provide structural help for search performance.

Track Performance Over Time

Record the organic traffic and visibility of pages built around proprietary assets before and after major search changes. This can't prove causation, but it can show whether your investment is building a more resilient content foundation.

Frequently Asked Questions

Does the research prove that proprietary assets improve rankings? No. It identifies a correlation between site characteristics and 12-month traffic changes, not causation.

What are the five characteristics? Offers a product or service, lets users complete tasks, has proprietary assets, focused vertical topic, and strong brand.

How should site owners use this conclusion? Audit the resources you truly own, evaluate whether they help users complete tasks, and measure the performance of related pages over time.

Conclusion

The signal from Zyppy's research is clear enough: during the period examined, proprietary assets were far more common among sites that maintained Google visibility. It's not a guarantee against future core updates, but it points to a pragmatic SEO priority—build useful, differentiated resources that can't be replaced by generic content, giving your site a clear reason to be returned in search results. As AI summaries continue to squeeze the living space of generic content, this priority will only move further up the list.

One-line Summary

Zyppy research shows that sites with proprietary assets better withstand Google core updates—92.9% of winners versus 57.1% of losers.

Paragraph Summary

Zyppy's analysis of roughly 400 websites found that after experiencing Google core updates over 12 months, 92.9% of traffic winners had proprietary assets (such as exclusive data, tools, or deep experience), versus only 57.1% of losers. Proprietary assets ranked third among five predictive characteristics, behind offering a product or service and letting users complete tasks. The research emphasizes correlation rather than causation, but in a context where AI search summaries compress the value of generic content, hard-to-replicate proprietary assets constitute a more reliable competitive barrier. The article proposes a five-step practical strategy: audit assets, run the replaceability test, connect to user tasks, maintain topical coherence, and track performance over time—and recommends incorporating proprietary assets into regular content planning rather than occasional marketing.