Mew 👑 **ADVANCED SEO STRATEGY AHEAD** Someone asks, what are entities and why are they important to search engine optimization (SEO)? In short, entities are nouns. They can be best describe as a person, place of thing. They are words and subject matter void of prepositions, interrogatives and adjectives. Some examples of entities are: Cars John Adams Arizona Light Mouse And so forth and so on. But how does that relate to SEO and furthermore how is it actionable? Entities help in documents from that standpoint that they give Google a comprehensive understanding of what the topical nature of your document is and how it’s related to similar searches (BERT). For example, if we have an article on our website titled “The History of American Made Cars”, the entities are History, American, Made, Cars. But as you know, people may search for this topic in a multitude of ways like: American Made Cars from The Past Manufactured Cars in America Throughout Time And so forth… By understanding how entities relate to each other, you can help Google understand that your article is a comprehensive solution for the users query. So how do you employ this? Simple… Add entity relationships to your document. Make a list of all the synonyms for each entity and include them at a similar density with structured headings as a reflection of your findings. We’ve already identified the entities in the title as History, American, Made, Cars. Their entity relationships are as follows: History ~ Decade – Timeline ~ Modern ~ United States – Future American ~ History ~ City ~ Culture Made ~ USA ~ Manufactured – Detroit Cars ~ Vehicles ~ Old ~ New What we have here now is a keyword cloud that Google associates with its self through entities. Now we can start combining terms from each part of the cloud for topical relevancy through entity relationships. Example: The History of American Made Cars Timeline of Manufactured Cars in The USA American Car Culture Over The Decades Old Vehicles Versus Modern Vehicles The Future of Cars in America What we have now is a way to construct our document and topics of entity relationships that can be applied as headings with direction on subject matter to cover in the context following the headings. As you can see, rather than guessing what we should discuss, we have formulated a strategy based on Googles own search engine and how it’s interior understanding of its own entities works to know with extreme certainty what type of document would have the best chance of ranking as a comprehensive topic. Fascinating isn’t it? [filtered from 48 💬🗨]
Martin Do you always come up with the list of entities from your own ideas or do you also use an automated tool to generate them?
Mew 👑✍️ » Martin – I use Google to generate the entities. I don’t rely on my head unless I’m very familiar with the subject. Mizan » Mew can u plz tell how you use google to generate them. 👍🏽1 Mew 👑✍️ » Mizan – Google.com Mizan » Mew Thanx. I know it is Google.com but i wanted to know the procedure. When i search "The History of American Made Cars", i did not find those words "decade, modern,city, culture" anywhere. not even in auto-suggest nor in related search at the end of search results. Mew 👑✍️ » Mizan – Search each word singularly, go to Google images and look at the entity relationships in the upper word cloud 🙂 👍🏽6
Trang » Mew I started following the group when it was in the hundreds (of members) and I have found your guides to be one of the best learning sources out there. Is there any way, you can organize it all in a file / units / etc.. so there is an actual way to refer to them from time to time? Please? *puppy eyes*. 👍🏽💟2 Martin a faster way to get the list of image keywords Mew mentioned is to download the free Chrome Extension "SEO Ruler" There is also a premium version with more features. 👍🏽1
Mew 👑✍️ » Martin – Can you verify the correct entity relationships and keywords come back? Martin The tool scrapes the list of image words you see horizontally in Chrome. It's the same list, it's jut easier to grab it. Mew 👑✍️ » Martin – Gotcha 🙂 There are some words however that won’t fit for the purpose. Make sure to discern those words and do not believe that all of them will be okay to use. Martin » Mew yes, you are right. I further put each word in search to see if the results are what I am targeting. What tool do you use to find the Latent semantic indexing (LSI)? 👍🏽1 Mew 👑✍️ » Martin – I don’t use tools bud. I use manual assessment techniques. Martin » Mew please share how do you find the LSI Mew 👑✍️ » Martin
Mew 👑✍️ » Martin – I just look for the words Google populates and wants due to frequent searches that are indexed together. Martin » Mew got it. Thanks for sharing. 👍🏽1
Stevie It sounds a very similar concept to latent semantic indexing or maybe the same thing by a different name as I understand it. When you speak about a topic you will use related words that would naturally paper in a conversation. so if we were talking about bikes we would talk about frames cycle routes pedals which would equate to a pushbike, but if we talk about bikes and talk about helmets engines and cc's we would be talking about motorbike. Is this correct, are we talking LSI?
Mew 👑✍️ » Stevie – Entity relationships and LSI are different but equally important. Entity relationships use Googles understanding of topics by noun for holistic topic coverage. LSI are words surrounding the nouns and topics that Google has identified as important to the indexing variability. I hope that makes sense. 👍🏽1 Stevie » Mew Yes sort of, reading around the subject now thanks for the pointer to something I wasn't aware of. 👍🏽1
Kafka I saw Google's version of this year's ago and this post is like the reader's digest version with all the value in tact. Another great 📫 post.
