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Google's Helpful Content Update Introduces A New Site-wide Ranking Signal Targeting "Se... - 0 views

  • It’s also important to reiterate that Google will be continually improving and refining that signal over time. So things can absolutely change on that front. And remember, the site-wide signal is always running. So there won’t be periodic refreshes like we see with broad core updates or Product Reviews Updates.
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Entity SEO: The definitive guide - 0 views

  • why are SEOs still confused about entities?
  • entities get conflated with keywords
  • Entity SEO is a far more scientific approach to SEO – and science just isn’t for everyone
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  • By reading this, you’ll learn:  What an entity is and why it’s important. The history of semantic search. How to identify and use entities in the SERP. How to use entities to rank web content.
  • Examples of entities
  • Perhaps the best example of entities in the SERP is intent clusters. The more a topic is understood, the more these search features emerge
  • What is an entity? 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.  Entity catalogs assign a unique ID to each entity. My agency has programmatic solutions that use the unique ID associated with each entity (services, products, and brands are all included). If a word or phrase is not inside an existing catalog, it does not mean that the word or phrase is not an entity, but you can typically know whether something is an entity by its existence in the catalog.
  • concepts and ideas are entities
  • More could be said about schema, but suffice it to say schema is an incredible tool for SEOs looking to make page content clear to search engines.
  • That brings us to the current search system. Google went from 570 million entities and 18 billion facts to 800 billion facts and 8 billion entities in less than 10 years. As this number grows, entity search improves.
  • How to optimize for entities What follows are key considerations when optimizing entities for search: The inclusion of semantically related words on a page. Word and phrase frequency on a page. The organization of concepts on a page. Including unstructured data, semi-structured data, and structured data on a page. Subject-Predicate-Object Pairs (SPO). Web documents on a site that function as pages of a book. Organization of web documents on a website. Include concepts on a web document that are known features of entities.
  • We know this, so how can we optimize for it?  Your documents should contain as many search intent variations as possible. Your website should contain every search intent variation for your cluster. Clustering relies on three types of similarity:  Lexical similarity.  Semantic similarity. Click similarity.
  • Schema is one of my favorite ways of disambiguating content. You are linking entities in your blog to knowledge repositories. Balog says:  “[L]inking entities in unstructured text to a structured knowledge repository can greatly empower users in their information consumption activities.” 
  • (Remember, Google wants to understand the hierarchy of the content, which is why H1–H6 is important.)
  • Balog writes:  “We wish to help editors stay on top of changes by automatically identifying content (news articles, blog posts, etc.) that may imply modifications to the KB entries of a certain set of entities of interest (i.e., entities that a given editor is responsible for).” Anyone that improves knowledge bases, entity recognition, and crawlability of information will get Google’s love.  Changes made in the knowledge repository can be traced back to the document as the original source.  If you provide content that covers the topic and you add a level of depth that is rare or new, Google can identify if your document added that unique information. Eventually, this new information sustained over a period of time could lead to your website becoming an authority. This isn’t an authoritativeness based on domain rating but topical coverage, which I believe is far more valuable. With the entity approach to SEO, you aren’t limited to targeting keywords with search volume. All you need to do is to validate the head term (“fly fishing rods,” for example), and then you can focus on targeting search intent variations based on good ole fashion human thinking.
  • We begin with Wikipedia. For the example of fly fishing, we can see that, at a minimum, the following concepts should be covered on a fishing website: Fish species, history, origins, development, technological improvements, expansion, methods of fly fishing, casting, spey casting, fly fishing for trout, techniques for fly fishing, fishing in cold water, dry fly trout fishing, nymphing for trout, still water trout fishing, playing trout, releasing trout, saltwater fly fishing, tackle, artificial flies, and knots. The topics above came from the fly fishing Wikipedia page. While this page provides a great overview of topics, I like to add additional topic ideas that come from semantically related topics.  For the topic “fish,” we can add several additional topics, including etymology, evolution, anatomy and physiology, fish communication, fish diseases, conservation, and importance to humans.  Has anyone linked the anatomy of trout to the effectiveness of certain fishing techniques? Has a single fishing website covered all fish varieties while linking the types of fishing techniques, rods, and bait to each fish?  By now, you should be able to see how the topic expansion can grow. Keep this in mind when planning a content campaign. Don’t just rehash. Add value. Be unique. Use the algorithms mentioned in this article as your guide. Conclusion This article is part of a series of articles focused on entities. In the next article, I’ll dive deeper into the optimization efforts around entities and some entity-focused tools on the market.
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Natural language processing to build a semantic database - 0 views

  • Google obtains information about entities and their relationships to each other from the following sources: CIA World Factbook, Wikipedia / Wikidata (formerly Freebase) Google+ and Google My Business, respectively Structured data (schema.org) Web crawling Licensed data
  • Named Entity Analysis and Extraction: This aspect should be familiar to us from the previous papers. It attempts to identify words with a “known” meaning and assign them to classes of entity types. In general, named entities are people, places, and things (nouns). Entities may also contain product names. These are generally the words that trigger a Knowledge Panel. However, words that do not trigger their own Knowledge Panel can also be entities.
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    "For this, Google can use the already verified data from (semi-)structured databases like the Knowledge Graph, Wikipedia … as training data to learn to assign unstructured information to existing models or classes and to recognize new patterns. This is where Natural Language Processing in the form of BERT and MUM plays the crucial role. Using Natural Language Processing, Google is able to access a huge range of unstructured information from the entire crawlable world wide web. The final major challenge is validating the accuracy of the information. The solution could be a further development of the Knowledge Vault."
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Entity Types, Entity Classes and Attributes: All you should know as an SEO - 0 views

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    "How Google can identify and interpret entities from unstructured content?"
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Internal PageRank Optimization Strategies - Portent - 0 views

  • On sites with hundreds of pagination pages, a blog post might rely on a pagination page that is 25 clicks away from the homepage for its only internal link. Category, tag, and author pages are effective ways to provide an alternative click path that is much shorter. So long as tag and category pages are well-formed and useful as navigation for users, they should be indexed.
  • By carefully controlling which filters are indexable in a faceted navigation
  • Estimating Internal PageRank With Screaming Frog Link Score
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    "They have a guide to Link Score here"
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What Is Link Score? - Screaming Frog - 0 views

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    "Link Score Introduction"
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Google's March 2022 Product Reviews Update (PRU) - Findings and observations from the a... - 0 views

  • sites should consider providing links to more than one retailer to purchase products
  • against Amazon’s TOS
  • my recommendation is to link to more than one seller, if possible (to future-proof your site), but it’s not a requirement as of now
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  • provide evidence such as visuals, audio, or other links of your own experience with the product, to support your expertise and reinforce the authenticity of your review
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Use of AI for SEO and content to grow 5x this year - 0 views

  • Why we care. Economic uncertainty has kept marketing budgets flat (or even reduced) and put greater focus on SEO this year.
  • Google has warned against using AI-generated content for years – although that guideline has softened in 2023. Now, Google cares less whether a human or AI writes your content, as long as your content is helpful to people and not created to manipulate the search results. 
  • For every $1 put into SEO today, organizations can find compounded benefits over time, resulting in greater ROI, Yu said.
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How Google's Selective Link Priority Impacts SEO (2023 Study) - 0 views

  • How Google’s Selective Link Priority Impacts SEO (2023 Study)
  • First Link Priority
  • only have selected one of the links from a given page.
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  • Google only counted the first anchor text
  • So even if you manage to figure out how we currently do it today, then that’s not necessarily how we’ll do it tomorrow, or how it always is across all websites.
  • Test #1 Takeaway: Google seems to be able to count multiple anchor texts on the same page to the same target, at least if one of the links is an image.
  • Test #2 Takeaway: When Google encountered two text links followed by an image link, Google indexed the first text and image anchors only.
  • Test #3 Takeaway: When Google encountered two text links followed by an image link and finally another text link, Google indexed the first text and image anchors only.
  • How to Optimize For Google’s Selective Link Priority Let’s be clear: Selective Link Priority most likely isn’t going to make a huge difference in your SEO strategy, but it can make a difference, especially in tie-breaker situations. In particular, here are five internal linking practices in a Selective Link Priority world: Be aware when linking on a page multiple times to the same URL that Google may not “count” all of your anchor text. When in doubt, you should likely prioritize both the first text link and image links on the page. Remember that each link to a URL—regardless of anchor text—has the potential to increase that URL’s PageRank. Don’t leave image alt attributes empty, and remember to vary them from any text link anchors. Not only can Google index the alt attribute as a separate anchor, but this gives you the chance to further increase your anchor text variations. Sites with smaller external link profiles may wish to limit the number of navigational links in preference of in-body text links. The reason is that if Google does indeed tend to prefer the first links on the page—and these are navigational—this limits the number of anchor text variations you can send to any page. (This isn’t a hard-and-fast rule. In fact, it’s a nuanced, complex subject that may warrant a whole other post.) The most important thing to remember is this – anchor text is a powerful ranking signal, even for internal links. Carefully choosing your anchor text—while avoiding over-optimization—can make a difference in winning SEO. If your SEO game is otherwise strong, you may be able to get away with ignoring Google’s Selective Link Priority rules (as most sites do already.) But you should at least be aware of how it works and what it means to your strategy.
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How to Get Bard to Show Your Local Business: Advice from the Source - Moz - 0 views

  • How much is Bard like Google search in a local use case?Would I be able to get any tips for local business inclusion in Bard?Do local SEOs need to change tactics to adjust for Bard
  • With only 3 of the restaurants appearing on both lists and all the others being different, Bard’s recommendations are only a 50% match for Google’s local finder results. Moreover, the ranking order of the individual entities is a 0% match. Look at La Carreta at the bottom of Bard’s recommendations, but the top of Google’s local rankings, for example.
  • I found Bard’s advice to be extremely interesting and worthy of sharing because it matches, almost point for point, the tips you’ll get from a good local SEO consultant: get listed in Google’s local environment, get positive reviews, invest in community involvement, offer a unique product, provide great customer service, and don’t expect instant results. Encouraged by Bard’s initial tips for performing within its ecosystem, I decided to shake the bottle to see if any Google local ranking secret sauce would come out:
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  • A mini competitive audit of Bard vs Google’s favorite tacos
  • As for seeking Bardic inclusion, my first impression is that you’ll still be doing the same tasks: making your GBP as fully-filled out as possible, earning good reviews via good customer service, growing and optimizing your website on the basis of consumer research. You’ll notice that Bard’s recommendations for getting mentioned in its lists of favorites didn’t contain a single surprise or novel notion for how to create visibility for local businesses. In other words, I see nothing game-changing here, but I do see a ton of room for your own research if your business isn’t included and wants to be
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