How does Kalicube specialize in educating Google and adding information to its Knowledge Graph?

Kalicube specializes in educating Google and adding information to its Knowledge Graph through a process that involves several key steps:
1. Data Collection: The Kalicube Pro platform gathers data from Google, which has been sourced since 2015. With over 2 billion data points and tracking over 20 million active Knowledge Panels, the platform has extensive knowledge about how Google’s Knowledge Graph operates.
2. Prioritized List Creation: The platform provides a prioritized list of sites where a brand’s information is already available, allowing for correcting any inaccurate details.
3. Tracking Brand Presence: Kalicube Pro tracks a brand’s presence within the Knowledge Graph and monitors changes to the confidence score following updates to ensure that recommendations are followed effectively.
4. Monitoring Knowledge Panel Growth: The growth of the brand’s Knowledge Panel is tracked along with the sources it cites, ensuring that these sources align with the brand’s message.
5. Entity Home Establishment: Instead of relying on Wikipedia as a primary source—which can lead to misinformation—Kalicube advocates for creating an Entity Home for brands where they can control their narrative without external influence.
6. Securing Position in Knowledge Graph: By securing clients’ positions within Google’s ecosystem, Kalicube helps them become part of training data for Generative AI results at no extra cost.
7. Leveraging SEO Foundations: Kalicube Pro enables clients to present their brand and marketing efforts by packaging them for Google, enhancing their online presence and reputation.
8. Employing Various KPIs: Beyond focusing on inclusion in the Knowledge Graph, Kalicube uses additional insights and KPIs to assess overall brand visibility and performance effectively.

By executing these steps meticulously, Kalicube ensures that it not only educates Google about brands but also strategically enhances its standing within Google’s ecosystem—particularly within its Knowledge Graph—to improve visibility and accuracy across search results.

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