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Google's knowledge panel: What is it and how to get one? * Yoast - 0 views

  • There are two types of knowledge panels: local panels and branded/personal panels. Google calls both of these knowledge panels, but the process of verifying them is totally different. For the local panels, verification was already possible through Google My Business.
  • For the branded and personal panels, it is much harder to obtain such a knowledge panel.
  • Google will decide whether or not to show a knowledge panel. Relevance, distance, and the prominence of the business are all important aspects for Google in determining if it’ll show knowledge panels.
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Google adds more example categories of sites that may be impacted by the product review... - 0 views

  • As Alan Kent of Google recently said on Twitter “a merchant’s product page with user reviews is not considered a “product review page” in this context.”
  • Identify product reviews. Google also recently clarified that structured data may help Google identify product review-type content, but it is one of many ways Google identifies such content. Danny Sullivan wrote, “as for structured data, it might help us better identify if something is a product review, but we do not solely depend on it.”
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The Skills Your Employees Need to Work Effectively with AI - 0 views

  • In fact, it is the human ability to understand context — which AI tools lack — that necessitates the need for greater human skills
  • specific qualities to look for in talent: “People that can be creative and innovative in the way they find solutions — problem solvers.” Broader research backs this up: A study of 1,700 global companies found that companies that excelled on human capital metrics were four times as likely to have superior financial performance.
  • One of the greatest values of experienced workers is domain expertise — deep knowledge of one’s environment. As AI takes over more tasks, there is a significant danger of atrophy of skills and loss of this kind of knowledge.
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  • Further, generative AI is shown to be more useful as a co-pilot for senior employees that can sift through AI “hallucinations” — inaccurate information presented as fact — and take the output as an aid. Inexperienced employees, however, may not be discerning enough and need a path to develop this knowledge. The sentiment was echoed by Ted English, former CEO of TJX Companies and current executive chairman of Bob’s Discount Furniture, who told us leadership requires “a lot of instinct, experience, and knowledge. Some of it you can’t get from a machine. Technology reinforces and allows you to make a more confident decision.”
  • The first layer of the framework is intentionality. In this context, we mean that a company’s business model should be purposefully designed around AI capability, rather just applying AI to existing processes. Spencer Fung, president and CEO of Li & Fung, a global supply-chain and logistics company, gave us an analogy: “Companies acquiring AI without a new business model is like a company digitizing a horse and carriage — while the competition has created a digital automobile.”
  • Next comes integration across all functions of the enterprise, with horizontal communication and AI as the enabling layer — in other words, getting rid of silos.
  • The real challenge, however, is implementation. Garry Kasparov, former world chess champion, has written that winning performance does not come from combining the best technology with the best people — but from the best process of combining. To achieve this, talent must be familiar with AI capabilities and know how best to utilize them.
  • However, AI is an evolving technology, and that necessitates a business add slack to the system to allow opportunity for learning.
  • Competitive advantage cannot be achieved without humans in the loop. Rushing to replace talent with AI is a huge mistake. Why? First, AI is copyable. What is not copyable is a unique business model, processes, and thoughtful integration of humans.
  • Second, AI is based on historical data that may not hold true in a volatile global business environment.
  • Third, AI is subject to hallucination and “drift,” where output is either fabricated by the AI or simply inaccurate.
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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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E-commerce SEO guide: New documentation from Google - 0 views

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    "Share your product data with Google"
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Structured Data for Ecommerce Sites | Google Search Central  |  Google Develo... - 0 views

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    "Understand how structured data works"
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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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AI-Generated Content is the New Floor - SparkToro - 0 views

  • Creating things other humans who use ChatGPT prompts can’t (or won’t) create is the only path forward. In my experience, the three biggest advantages human creators have over AIs (for now) are: Emotion – ChatGPT can’t be vulnerable. It isn’t scared. It feels no empathy, nor can it convey true regret. It isn’t humble or prideful, distraught or loving. When you prompt it to communicate using these emotions (e.g. “Say that again, but more empathetically?”), the results feel inauthentic. Spicy autocomplete almost never elicits the emotional weight that good, human writers can. Novelty – If an idea, a bit of data, a data source, an amalgamation of information, or an event didn’t exist before 2021, ChatGPT isn’t going to produce content about it. Technically, it can create new works, but these will always be derivative. If you ask ChatGPT what to write about to please an audience of X, it can only tell you what they might have cared about in the past. Creative Insight – After reading the output of a LLM AI, you will almost never hear someone exclaim “Oh my god… that’s a great point!” or “Whoa… I’ve never thought of it that way.” Nor will you see the AIs get artistic or inspirationally motive with their replies. “Oooo… I just thought of a great way to visualize that,” or “I bet we could make a really cool video game based on that premise,” aren’t responses the machines can compete with (yet).
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