An entity is a uniquely identifiable object or thing characterized by its name(s), type(s), attributes, and relationships to other entities. An entity is only considered to exist when it exists in an entity catalog. I used this definition in my entity SEO article.
The first part of this entity SEO series should be used when you need to justify a tactic associated with optimizing for an entity.
TL;DR from Part 1:
This article will dive right into the actionable advice. We will go over page structure, site structure, important schemas to use and tools that can help you.
Every page and every collection of pages has a context. Pages don’t exist in a vacuum.
Why does it exist?
Let’s use Nike as our example. Nike sells shoes. Their website exists to sell running shoes.
How do you figure out the primary entity associated with selling running shoes?
It’s tempting to just say “shoes” or “running shoes,” but that wouldn’t be the best answer.
The best answer requires further abstraction.
Optimizing entities is largely a task meant for our brains, so let’s go through some options.
So what types of intent exist for Nike?
Necessary gear for sports, exercise empowerment, shopping guides for each specific shoe type.
You can expand this further, but the goal is to provide an oversimplified example. If I had to guess, I’d say that the primary search intent is about sports.
While Nike has evolved into a style, the core purpose of Nike and the core intent for searchers is all about sports equipment.
If we ask the “why” question for sports, we could go a step further and say “personal development” or “lifestyle improvement” is the primary search intent.
It’s up to the SEO to figure out the best choices because the entire optimization process is contingent upon:
If you’d like to dig deeper into this idea, I recommend Koray Tuğberk GÜBÜR’s Topical Authority course (be warned, it’s complicated and designed for a skilled SEO audience).
This realm of SEO has its own vocabulary, and GÜBÜR has spent countless hours extracting terms and formalizing the concepts associated with this area.
Some important terms you’ll want to familiarize yourself with if you’re interested in entities and semantic search:
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The core concepts associated with entity optimization focus on entity attribute values (EAV), information dilution, language usage, site organization and page organization.
When optimizing around entities, you'll want to focus on the attributes that are associated with your entity.
Remember that the context can change the attributes that are most important to use.
We use OpenAI and a simple prompt to get a list of attributes. You can get creative with it, but use the image as your starting point.
Amazon's plethora of information on each product is a great example of entity optimization. They have videos, images, multiple angles, buyer guides, reviews, tags, and detailed technical information on their products.
Do you need to be worth a trillion dollars to achieve this depth of attribute information? No.
If you are selling products of any kind, more scientific and data-centric information will help achieve the attribute depth and width required for entity optimization.
Are you writing about SEO for lawyers? How do you connect two entirely distinct entities without diluting Google's understanding?
Do you target lifestyle, technology, business, and health on one website?
Have you properly covered each distinct category and made the necessary connections to assist Google’s understanding of your content?
You'll fail to optimize for entities if you don’t provide adequate context.
For disambiguation, we like to use Google NLP.
This is an example from Google. Input your text and review the score.
Oftentimes, a few word changes and a small tweak to how you order your sentences are all it takes to drastically improve.
The lesson here is to remember that writers are providing information and it's important to know your audience when writing.
You can provide helpful content to humans while providing a structure for AI to digest and understand. Content for humans and for robots is a needless bifurcation that largely exists due to SEO practitioners lacking knowledge in this area.
Focus on the way you use language. The book “Entity-Oriented Search” provides almost 400 pages of deep insights into entities.
The author, Krisztian Balog, reveals that the subjects, objects, and predicates are all used in order to understand a website and each of its documents (pages/posts).
You must have your core topic on every page if you are Nike. Exercise, fitness, or shoes could all be options here. The actions and attributes associated with your core topic should also be present throughout your website.
This doesn’t mean you need to say the same thing repeatedly because the context of an attribute or an action can change (i.e., exercising by running in the rain, exercising by sprinting, exercising on an outdoor track, etc.).
Google’s Lizzi Sassman recently shared how they prefer to digest schemas. Google wants sites to nest their schema.
Use the dropshipping outline as an example. Context isn’t just about the content, it's about the way you connect the content.
Examples of page structure (you’ll learn how you can replicate this with schema later)
If you're looking for a great example of what an entity-optimized blog architecture looks like, then I highly suggest that you review Docusaurus, a CMS of sorts, which handles content structure well.
Look at any of their showcases, and you’ll see a hierarchy of information presented on the left.
You will get a top-down view of the cluster. The articles have a table of contents, so you get a top-down organizational structure for each article.
The only additional thing to do is optimize the article's internal link structure.
Wikipedia is a semi-structured knowledge base that Google heavily uses in its quest to understand and use entities.
Because we know what it is and how Google uses it in its systems, we can use a Wikipedia page to grow our understanding of entities and semantic search.
Case in point: the Wikipedia page for “sneakers.” Below are key elements to note:
After analyzing hundreds of Wikipedia pages, we created an entity template that can be used as a quick reference when writing.
Generally, the most common entities are associated with brands, people, sports, activities, products, geographies, events, temporal, emotions, ideas, animals, fields of study, food, and music or film.
No one has the full list of entities, but I shared a list of 150+ types of entities in the previous article.
It’s important to note that you should not expect to rank by just copying everything on a Wikipedia page. The example of Wikipedia is meant to provide context for understanding.
Ask yourself how your specific website context connects with your main entity. Think about the types of search intent that exist.
AI is very helpful in giving you a headstart with this. Ask GPT-4 to “provide a list of likely search intents for someone searching Google for [running shoes]," and you’ll get a list of ideas.
This might not be perfect, but it’s a great way to identify search intent and grease the wheels for thinking through this on your own.
While AI is the focus of the next article in this series, this particular use case of AI is incredibly helpful for topic maps built to cover an entity.
With the ContentSprout topic generator, you enter the niche (e.g., “golf”) and get categories, sub-categories, and clusters.
The final piece provides a list of topics to write about inside the cluster.
AI helps reduce the time it takes to do a lot of SEO tasks related to entity optimization. Invest in AI tools, and it will pay off.
Now that we've covered the topic of targeting, it's time to dig into identifying entities.
Let’s use the TL;DR section above as the input text we will analyze. Open up textrazor.com/demo and paste the text into the box.
When you run the analysis, you’ll see a helpful collection of insights about the text you provided.
If you hover over an underlined word, you get some sweet info that can be used for your schema or for your analysis of your topic.
You get a Wikipedia link, the Freebase ID (a structured knowledge graph), and a Wikidata ID (like Freebase, but better). You also get a list of scores and entity types.
The right side of the screen provides the identified topics.
Remember that this isn't Google, but it's attempting to do something similar to what Google is doing, which makes this tool useful.
I can now see many scores connected to topics, organized by the strength of the topic understanding.
Schema has become mainstream in SEO communities, but that doesn’t mean people use schema to the fullest. Most people stick with a generic schema and avoid anything custom.
While this article isn’t designed to provide a crash course on schema, it is important to share the two underutilized schemas that help connect the dots for Google.
By using mentions schema, you're declaring that your page mentions a specific thing. You can then tie in a Wikipedia page and connect that declaration.
Why is this helpful?
You are disambiguating information and providing important information in the easiest format for Googlebot. Don’t sleep on mentions schema.
In the image above, you can see a ContentSprout test website on fishing.
The main entity of the page is declared, a description is provided, mention is used, and SameAs is incorporated.
These pieces send an abundantly clear message to Googlebot so it understands your content.
If you’d like to visualize the schema, we suggest Schema Zone. We plugged in a URL containing a custom schema, which is what it looks like.
If you’ve ever used Sitebulb or Screaming Frog, you’ll recognize that this is essentially a schema version of what those tools do with internal links.
We all try to get our visuals to look like this, but did you know you could replicate that structure in schema?
Schema Zone has a few other features, but our favorite is the competitor schema stealer.
Using competitors as your starting point is always easier, and this tool is designed to do exactly that.
A new company called Entity Clouds released a programmatic schema solution that has blown us away. According to its founder Cory Hubbe:
“Entity Clouds is a programmatic entity optimization tool set that leverages the science of bot crawl patterns and classification systems to give search engines precisely what they want. We use internet database classification systems and structured data as our foundation, strengthening the association between your business and relative, authoritative entities.”
It won’t give you cool visuals, but it gives similar results, and you install it with GTM or a WordPress plugin.
As we learned in the first article, Entity SEO: The definitive guide, entities are the future of SEO.
They help Google understand your content and its relevance to keyword searches.
Optimizing for entities will help your content perform better in search engines.
Your website is much more likely to continue to rank through algorithm changes as Google and Bing continually improve their understanding of the web and the vast amounts of content on it.
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from Search Engine Land https://searchengineland.com/optimize-for-entities-424286
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