The Google Knowledge Graph creates the featured panels of useful information to the top-right of its search engine results page. They represent prized SEO positioning. The panels are strategically placed to invite the user to interact with their sliding carousels of AI aggregated data.
Knowledge panels even appear above the top ranking websites!
Whenever it can, Google presents its results to you using the Knowledge Graph. Google believes the Knowledge Graph is very likely to have a useful and contextually relevant answer to your query. The Knowledge Graph panel displays an abbreviated sample of all the information that Google’s spider-bots have gathered from the World Wide Web. The Knowledge Graph logs this information in a semantic network-style database that connects key concepts to each other in an impossibly vast and rapidly growing network of meaning. The Knowledge Graph is designed to make sense out of the billions of random facts on the Internet.
The graph’s sleek info-panel design is optimized for mobile viewing. Brands, businesses and plastic surgery practices appearing in the SERP Knowledge Graph have a measurable advantage over the competition.
Facts in the Knowledge Graph come from a variety of sources that compile factual information. In addition to public sources, we license data to provide information such as sports scores, stock prices, and weather forecasts. We also receive factual information directly from content owners in various ways, including from those who suggest changes to knowledge panels they’ve claimed.
Google processes billions of searches per day. Automation is the only way to handle this many searches. This means the best way to improve our results is to improve our automated systems, our search algorithms.
Our systems automatically strive not to show information that would violate our policies listed below. However, the scale of search is so large that no system can be perfect. This is why we provide public reporting systems.
We carefully analyze the data captured through our public reporting systems and work to remove content that violates our policies. This data is also used to inform improvements to our algorithms. We also manually remove policy-violating information that comes to our attention, especially prioritizing issues relating to public interest topics such as civic, medical, scientific, and historical issues or where there’s a risk of serious and immediate harm.