Learn SEO Directly from the Search Engines
The future of SEO involves a more semantic SEO. This means understanding as much as possible how much search engines such as Google understand and advance semantic SEO.
The inventor of the Web, Tim Berners-Lee came out with a revision of his original vision of the Web when he started writing about the Semantic Web. He published an article in Scientific American about The Semantic Web, which is recommended reading.
Search on the Web has been evolving to focus more on showing results that find things, instead of strings, or matching keywords within queries to keywords on documents on the web. We are in an age of Semantic SEO.
This is seen in Google’s original fact repository, followed by their knowledge graph, and Microsoft’s concept graph. Google, Bing, Yahoo, and Yandex all are followers of schema.org structured data markup, and it can be used to show rich results in search results.
We see Semantic SEO results in featured snippets, rich results, structured results, knowledge panels, synonym substitution, and special query processing of entities during this semantic search. Semantic SEO is the future of SEO, and both Google and Bing become more about Semantics and knowledge graphs.
Semantic SEO also involves including facts or attributes of entities on the pages that you write about those. You can also identify the entity class and link to information about that entity, and information that people should know about those entities.
I wrote a post about “What is Semantic SEO?” to explain some of the different aspects of it, and approaches to implementing Semantic SEO.
Identifying UGC Subjective Attributes Of Entities This recently granted patent is about identifying subjective attributes of entities. I haven’t seen a patent about subjective attributes of entities or responses to those entities. A critical aspect of it is that it is user-generated content. We get told that user-generated content (UGC) is becoming more common on … Read more
This recently granted Google patent generally relates to generating query answers, and this patent also introduces the concept of Constraints to help answer queries. Using Constraints For Query Answers This patent asks questions about contents related to facts about entities that questions are getting added about. Documents about Using constraints for query answering are these: … Read more
How Do Knowledge Graphs And Search Work Together? There are at least a couple of processes that search and knowledge graphs can work together. Rewriting Queries – A search engine understands the data from apps on a mobile device and rewrites queries from that device using that data, which I explored in detail in the … Read more
This Patent Uses A Image Content Analysis With A Geo-Semantic Index To Build Search Recommendations It’s interesting seeing Google combining Google Maps with a better understanding of the Semantic Composition of areas within that map, analyzing images from sources such as Streetview. This patent reminded me of another one recently granted to Google, which I … Read more
Rewritten Queries On Search Engines Using Mobile Devices People write queries for search engines to find answers that fill their situational or informational needs. A recently granted patent from Google describes how a search engine might provide rewritten queries for people searching using handheld mobile devices such as mobile phones. Queries are rewritten using annotations … Read more