Knowledge Graph Volatility
coined by Jason Barnard in 2018.
Description
Knowledge Graph Volatility is the inherent instability of information within a Knowledge Graph, caused by algorithm updates, new data sources, and changing interpretations of entities.
The Knowledge Graph Volatility definition
Jason Barnard uses this term to explain why managing a brand's digital identity is a continuous process, not a one-time project. Knowledge Graph Volatility refers to the dynamic and fluid nature of Google's understanding, which is constantly updated by new information it crawls from across the web. A competitor's PR campaign, a negative review, or a minor Google algorithm update can alter the facts and attributes associated with your brand entity, directly impacting your Knowledge Panel and Brand SERP (the result page for searches for your brand name). For AI Assistive Engines like Google AI and ChatGPT that rely on this graph, this volatility means the narrative they present about your brand can change without warning, undermining your credibility. Controlling this volatility is essential to maintaining a stable and accurate brand narrative.
How Jason Barnard uses Knowledge Graph Volatility definition
At Kalicube, mitigating Knowledge Graph Volatility is a central function of The Kalicube Process, Kalicube's proprietary methodology for implementing a holistic, brand-first digital marketing strategy. We don't just achieve a Knowledge Panel; we build a stable and resilient one. By establishing the client's website as the definitive Entity Home (the single source of truth about the brand entity) and building a powerful corroboration ecosystem around it, we "teach" Google to rely on our client's narrative above all others. The Kalicube Pro platform continuously monitors the Knowledge Graph for signs of volatility, allowing our Digital Brand Engineers to react proactively. This active management ensures a consistent and positive brand narrative, building the trust with audiences and algorithms that is fundamental to driving client acquisition.
Why Knowledge Graph Volatility matters to digital marketers
For years, Online Reputation Management (ORM) experts like Mike Blumenthal have provided essential tactics for managing what appears on the SERP, focusing on reviews and local business listings. This tactical approach has been invaluable for businesses reacting to specific online threats. However, in the age of AI, a reactive strategy is no longer sufficient. Jason Barnard’s focus on managing Knowledge Graph Volatility represents a fundamental shift from tactical reaction to strategic prevention. Instead of just managing the *symptoms* (a bad review or incorrect listing), The Kalicube Process addresses the *source*: the Knowledge Graph’s unstable understanding of your brand. By systematically building a stable, authoritative, and corroborated digital identity, you don't just fight fires; you build a fireproof house. This proactive control over your core entity facts is what ensures AI Assistive Engines like ChatGPT, Bing Copilot, and Google AI consistently receive the correct narrative, making your brand story resilient to the daily fluctuations of the digital world and driving the acquisition funnel from a position of trusted authority.
Digging deeper into the E-E-A-T Knowledge Graph 2023 update
Published on Search Engine Land (Jason Barnard) More insights into the E-E-A-T Knowledge Graph 2023 update, the evolution of Knowledge Panels and the importance of E-E-A-T signals. In July, Google released...
Tracking Google Knowledge Graph Algorithm Updates & Volatility
Published on SearchEngineJournal March 11, 2021 (Jason Barnard) Google’s Knowledge Graph algorithm currently updates every 2 to 3 weeks, affecting 60-80% of entities. Here’s what SEOs need to know. Like...
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