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Rob Laporte

Link Selection in Google AI Overviews: The Role of Related Queries - 0 views

  • Key Insights from AI Overview Link Analysis 21.1% of Queries Trigger Overviews: Out of 11,163 analyzed queries, 21.1% (2,358) triggered an AI Overview, with each summary containing an average of 8.9 links. Top Linked Domains: The most frequently linked URLs included YouTube (3.88% from youtube.com and 2.59% from m.youtube.com), Wikipedia (3.76%), and less frequently, Southern Living (1.53%). Overlap with Search Results: 46.3% of the documents linked in the summaries were from the top organic search results for the exact match query. Inclusion of Related Queries: When related queries were added to the direct match queries, the percentage of links from both the direct match and related queries in the top search results increased to 60.4%. Combination of Query Types: The integration of direct match, related, and reformulated queries showed that 67.3% of the links in AI Overviews were accounted for in the top search results. SERP Position and AI Overview Visibility: The likelihood of a search result document appearing in an AI Overview depends on its SERP position. A link ranked first has a 53% chance of being featured, while content ranked tenth has a 36.9% chance. This trend holds for related and reformulated queries as well, with higher-ranking documents more likely to be included. Trends in Unaccounted Links: Further analysis of the unaccounted links revealed a significant presence of YouTube and Wikipedia, highlighting specific domains that AI Overviews favor.
  • Comparative Studies by Advanced Web Ranking and SE Ranking In July 2024, Advanced Web Ranking published a comprehensive study that found 33.4% of links in AI Overviews are in the top 10 results for the query. On average they found AI Overviews to contain just over 7 links. SE Ranking’s latest AI Overview study showed a significant increase in the average number of links, rising from 4 to 9 per overview. Moreover, SE Ranking found that 73% of the links in AI Overviews aligned with the top 10 search results, highlighting a stronger connection between AI Overviews and organic rankings.
  • AI Overview Optimization Recommendations Based on Research Findings Based on the findings from our research into Google AI Overviews, here are targeted optimization strategies to explore to increase your content’s visibility in AI Overviews: Optimizing for Direct Match and Related Queries Target direct match queries where your content can realistically achieve first-page rankings on Google, as AI Overviews often source from the top search results. Prioritize high SERP positions by aiming for top rankings in Google search results; the higher your content ranks, the greater the probability of its inclusion in an AI Overview. For highly competitive queries where first-page rankings are challenging, focus on related or reformulated queries where you can rank high. These are often less competitive but relevant variations of the main queries that can provide alternative entry points into AI Overviews. Use Google’s “People also search for” section to find queries that align with both the AI Overview content and your own, enhancing your strategy to target relevant queries. Leveraging YouTube Given the presence of YouTube links in AI Overviews, create and optimize video content relevant to your desired queries. Ensure your YouTube videos have clear, descriptive titles and detailed descriptions that incorporate the target queries.
Rob Laporte

AI Overview Study for 8,000 Keywords in Google Search - 0 views

  • The average AI Overview is 169 words and 912 pixels long.Only 12.4% of the analyzed keywords display an AI Overview.A Featured Snippet is showing on 17.6% of the analyzed keywords.On average, AI Overviews appear alongside Featured Snippets in 7.4% of cases. For the Health niche, they show up together the most often (34.9% of queries).AI Overviews contain 7.2 links on average when expanded.33.4% of AI Overview links rank in that query's top 10 organic results.46.5% of the URLs included in AI Overviews rank outside the top 50 organic results.Five-word queries trigger an AI Overview most frequently.Keywords from the Health and Safety niches are more likely to trigger AI Overviews.No AI Overviews show up for brand related queries.Navigational intent keywords are less likely to display AI Overviews.Google Ads are displayed in 28.3% keywords that trigger AI Overviews.From all the keywords that trigger AI Overviews, Ads at the top of the SERP appear for 8.7% of keywords. Ads at the bottom are displayed for 19.5% of these keywords.Shopping Ads are almost never seen together with AI Overviews and when they are, they always appear below the AI Overview.
  • AI Overview Visibility by IndustryWhich industries show AI Overviews more frequently?The bar chart below shows the frequency of AI overviews across different industries.
Rob Laporte

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.
jack_fox

Google AI Overviews: Everything you need to know - 0 views

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    The value of AI Overviews varies based on the context and intent of industry-specific queries. For example: In the software industry, AI Overviews often summarize ROI-driven, informational searches. In manufacturing, AI Overviews tend to focus on "capabilities" and process-related content. For consumer brands, AI Overviews frequently highlight PR-related links.
Rob Laporte

Impact of Google's AI Overviews: SEO Research Study - 0 views

  • Top 10 Web Results Feature in AIO Sources 99.5% of the Time
  • Digging deeper into the data, we also found that nearly 80% of the AI Overview results contain a link to one or more of the top 3 ranking results. And when looking at just the top 1 position, the AI Overview contained a link to it almost 50% of the time. 
  • The bottom line? One of the best ways to get referenced in an AIO now is to rank highly in Google.  
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  • AI Overviews Impact 44% of YMYL Keywords
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    "5 Research-Backed SGE Insights All SEOs Should Know"
Rob Laporte

How AI can uncover new insights and drive SEO performance - Search Engine Land - 0 views

  • Monitoring website performance in analytics platforms to discover insights.
  • Monitoring performance: AI can process data, alert the user to any anomalies and highlight quick wins to action immediately.
  • The unifying thread through all of this is the fact that AI can deliver highly relevant insights automatically, at huge scale, and in a manner we can easily share with other departments in our organization. Without the right technology, we could only achieve this with the support of hundreds of analysts and an infinite budget.It is worth noting that the difference between a valuable insight and a simple observation is incredibly significant for any business. A true insight illuminates something new and guides future action based on the moments and metrics that matter
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  • Search marketers should seek out a platform that employs deep learning technology to sift through search, social and content marketing data from a range of analytics platforms to produce these insights. This should be achieved across all territories, devices, and demographics, allowing new information to surface that would typically slip through the cracks.When evaluating technology for these purposes, marketers should ask these questions:What is the benefit? How does it save time and build efficiency?What data sources and data sets are involved in all calculations, including search, social and local?How does it index URLs? Is data fresh, accurate and collected frequently to keep track of the SEO landscape?How sophisticated is the AI? What are the machine learning and deep learning applications used to identify patterns in consumer data?How does it change our business operation capabilities?What clear business problems does it solve?Does it contain intuitive dashboards that display all findings in a digestible manner that can be shared with non-technical audiences and across the digital organization?
Rob Laporte

Has AI changed SEO for better or worse? - 0 views

  • One of the most significant impacts of AI on SEO is personalized search results.
  • AI algorithms can understand natural language queries and provide accurate results. Therefore, SEO strategies should include conversational keywords and phrases matching people's speech.
  • AI-powered predictive analytics can help businesses identify trends and predict future outcomes
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  • One of the most significant issues is the potential loss of control over search rankings and referral traffic.
Rob Laporte

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.
Rob Laporte

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).
jack_fox

The rise of the position-less marketer - 0 views

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    AI-Based marketers: These AI-based marketers are position-less marketers. They embody adaptability, innovation, analytics and creativity. They readily embrace AI, leverage data-driven insights and welcome change to remain at the forefront of marketing evolution. Rules-based marketers (legacy): Representing traditionalism, these marketers adhere strictly to established rules, past practices and control-focused approaches. They are hesitant to adopt AI, preferring the comfort of familiar methods and routines.
Rob Laporte

AI Overview FAQ: Google AI Overview Questions Answered - 0 views

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    "Why are AI Overviews less common in transactional industries like Real Estate and Automotive?"
Rob Laporte

Google says normal SEO works for ranking in AI Overviews and LLMS.txt won't be used - 0 views

  • Google’s Gary Illyes recently said that when it comes to ranking in AI Overviews, all you need to do is normal SEO. He also said that Google won’t be crawling and using the new LLMS.txt files that have become a popular topic in the SEO space
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    "AI search is booming, but SEO is still not dead"
Rob Laporte

6 ways ad agencies can thrive in an AI-first world - Search Engine Land - 0 views

  • Accept that your old value proposition is toast Consider how you convinced your existing clients to sign up with your agency. If your pitch included that you produce amazing results because you’re really good at bid management (something machines are getting really good at), you may need to tweak your positioning. You don’t want to make your main value proposition something that can be put on autopilot by anyone — and will hence become very difficult to price at a level that makes you successful. That’s not to say that you should stop thinking about something like bid management altogether. Instead, you should offer skills that are complementary to the AI system rather than skills that compete against it. Hal Varian, Google’s chief economist, gives the career advice to “become an indispensable complement to something that’s getting cheap and plentiful.” For example, become a data scientist because we’ll need more people to make sense of the data and to figure out how to turn new insights we get from more sophisticated AI into new strategies. In the context of an ad agency, this makes a lot of sense. You want to be able to say you have great data scientists who can make sense of what the automated systems are doing and make solid recommendations for the next thing to test.
  • Hire one extraordinary (wo)man American philosopher Elbert Hubbard said that “one machine can do the work of fifty ordinary men. No machine can do the work of one extraordinary man.” And he was on to something. In engineering, a great engineer can do the work of 10 good engineers. So, as more of an agency’s work gets done by machines and you need fewer humans to do repetitive work, having the smartest possible person to work on the tasks that remain will be more important than ever.
Rob Laporte

The state of AI in early 2024 | McKinsey - 0 views

  • services.2Includes respondents working for organizations focused on human resources, legal services, management consulting, market research, R&D, tax preparation, and training. Exhibit 1
  • Also, responses suggest that companies are now using AI in more parts of the business. Half of respondents say their organizations have adopted AI in two or more business functions, up from less than a third of respondents in 2023 (Exhibit 2)
  • The biggest increase from 2023 is found in marketing and sales, where reported adoption has more than doubled. Yet across functions, only two use cases, both within marketing and sales, are reported by 15 percent or more of respondents.
jack_fox

AI is a threat to some marketing agencies, an opportunity for others - 0 views

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    "Be the steady, guiding hand: Clients want someone who understands their business and can help them navigate change. Agencies that can say, "We guided you through the digital revolution and we can help guide you through this AI revolution," will find a willing audience."
jack_fox

AI and online reputation: How to stay in control - 0 views

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    Doubtful ai can effectively do these things yet but worth a try
Rob Laporte

What Is Link Equity? How It Works & Why It Matters for SEO - 0 views

  • Link placement and context influence transfer Links positioned in the main “content area” can transfer more equity than those buried in footers or sidebars, acting as a more potent vote of confidence. Google Search recognizes that editorial links within relevant content—like within a blog post or landing page copy—indicate stronger endorsements and more relevance than navigational or promotional links. The surrounding content context matters significantly. A link about “technical SEO audits” embedded within a paragraph discussing site optimization, for example, carries more relevance signals than the “Contact Us” link in the site’s navigational menu at the top of the blog. 
  • While exact-match anchor text isn’t required, descriptive anchor text helps search engines understand the destination page’s topic and purpose.
  • External links typically carry more weight per link (often correlating with the linking site’s authority), but internal links offer more control and scalability without veering into black-hat SEO strategy. A well-structured internal linking system can amplify the impact of external backlinks by distributing their equity strategically throughout your site.
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  • To preserve link equity when implementing redirects: Limit redirect chains to no more than two hops when possible Use 301 redirects for permanent moves, 302 for temporary changes Monitor redirect chains regularly and consolidate them into direct redirects Avoid redirecting to irrelevant or low-quality pages that waste transferred equity
  • 301 redirects preserve the vast majority of link equity, making them the preferred choice for permanent URL changes. However, redirect chains—which are redirects that lead to other redirects—can dilute equity with each additional hop.
  • Since 2019, Google treats nofollow as a “hint” rather than a directive for crawling and indexing purposes. This means some nofollow links may still pass small amounts of equity, particularly when they appear in editorial content contexts. Use nofollow links strategically to maximize positive link equity with these tactics: Reserve nofollow for truly untrusted or commercial links Don’t nofollow internal links unless you specifically want to prevent equity flow Avoid mass nofollowing as a “PageRank sculpting” tactic, as it’s generally ineffective Focus on creating valuable link targets rather than manipulating equity flow
  • Add canonicals to paginated content and parameter-heavy URLs to designate the main page Avoid these canonical tag mistakes to help you preserve your link equity:  Using self-referencing canonicals on every page when it’s not necessary  Pointing canonicals to irrelevant or significantly different pages Creating conflicting signals between canonicals and redirects Not adding canonicals on paginated content or parameter-heavy URLs
  • Focus on creating valuable link destinations rather than restricting equity flow. If a page isn’t worth passing equity to, consider whether it should exist at all. And if you’re using nofollow links to try to block specific parts of your site, look at other methods like deindexing to do so. 
  • Outdated SEO advice originally suggested “PageRank sculpting” through selective nofollowing. Modern Google algorithms make this approach ineffective, as these tags are viewed as “hints.” Instead, it may just prevent your site from building page equity. 
  • Pages with no outbound links create “equity sinks” where authority accumulates but doesn’t benefit other parts of your site. These pages miss opportunities to strengthen related content and improve overall site architecture.
  • Common redirect problems that impact link equity may include:  HTTP to HTTPS redirects followed by www to non-www redirects
  • A 2024 study found that appearing in an AI overview could require as little as 13 referring domains, which is obtainable even for small brands. 
  • A 2024 study found that sources cited in AI overviews match the top 10 organic search results 99.5% of the time.
  • Featured snippets  An Ahrefs analysis of 2 million featured snippets found that 99.58% of featured snippet URLs also rank in the top 10 organic results. This data suggests that the same authority signals that drive organic rankings also influence snippet selection. Link equity, of course, is a confirmed ranking factor.  The business impact can be substantial. Featured snippets can increase click-through rates by up to 114%, even when the snippet provides a complete answer. This suggests users still value visiting authoritative sources, making link equity investment worthwhile even in a zero-click environment
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