Content Caffeine: North Star Inbound's newsletter for the content-obsessed. |
Happy New Year everyone! This year, I'll be experimenting by bringing you a few additional sections. We'll be pitvoting based on your feedback, so please hit that reply button and let me know how you like the newsletter. We're also introducing our referral rewards! Those of you who are enjoying the newsletter and sharing with friends will now be rewarded with $100s of freebies! News & AnalysisIn the past few months, Google’s antitrust lawsuit has highlighted how Google REALLY works. At the same time, recent search results are absolutely riddled with low-quality spam. It’s as bad as it’s been since the days before the Panda algorithm update. Maybe even worse. So what’s going on? And for those of us who are dedicated to producing great content, why bother? First, let’s review how Google works. Google’s first steps are crawling and indexation. A couple of highlights about the index is that it is much smaller than you think–around 400 billion documents. And Google is trying to make it smaller–not bigger. As Nayak said, you can have a smaller index that’s just as thorough by removing the “junk.” Now that it has its index, for every query it needs to create a much smaller list of relevant documents. This is ranking. To do this, Pandu Nayak, Google's VP of Search says there are maybe over a hundred ranking signals. But the core signals are the document itself, topicality, page quality, reliability, localization, and Navboost. Navboost is a memorization system that memorizes 13 months of user interaction data (it used to be 18 months) in order to learn things about documents. There are also other ranking systems that, similarly to Navboost, use user interaction data and information satisfaction scores to help decide rankings. So back to what that means for us. But it’s pretty bad at telling good content from great content. So, it leverages people or the troves of click data at its disposal. Unfortunately, people are also bad at telling the difference between good content and great content. GPTs helped cheap, scaled content go from really bad to okay (or Goog enough). How many people read through Sports Illustrated or Bankrate articles and never knew the difference? That’s why AI content is proliferating wildly. And for every story of the heists gone bad(opportunity to cite social media), there are untold stories of websites that Google hasn’t caught. That’s why many organizations with a decent publishing process writing from first-hand accounts or experience sometimes struggle to rank. Again, their content is good but not great. In fact, most organizations I speak to don’t have what I would consider great content. From poor organization or a misunderstanding of search intent to bad sourcing or a lack of point of view, their posts are consistently missing a key ingredient to great writing. So, if Google can’t tell the difference and people can’t tell the difference, then what’s the point in investing in great content? Well. I said I believe Google and people are both bad at discerning. Not that they can’t. Click data can’t capture what doesn’t exist. If 90% of what you see is bad content, and 10% of it is good, but absolutely none of it is great, would you be able to tell me what a great piece of content looks like? The truth is most can’t. If, instead, I show you 89% bad content, 10% good content, and a single great article, could you tell me which piece is the great one? Absolutely. Investing in great content is hard. It’s hard to find people who excel at great content. It doesn’t easily scale. It’s not reproducible by AI or the masses. But for those who do it, they are creating a moat with their success because it’s hard, it doesn’t scale well, and it’s not easy to replicate. If you found this helpful, here are a few articles for further reading: I hope these insights help. For more tips, follow me here. To explore our work further, reach out here. InspirationIn this section, I'll feature awesome content case studies for inspo. It earned 85 links, including from Psychology Today, Entrepreneur, MarketBeat, and Business Insider. Let's break it down a little. If you've got a content campaign you're proud of, let me know. We'd love to feature awesome work. Upcoming PR & Seasonal DatesJanuary 15, 2024: Martin Luther King Jr. Day National Black History Month
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My team and I have been helping brands reach their SEO traffic and conversion goals through content and links for over 10 years. Recognized by industry leaders and household brands as an authority in both organic content and digital PR.
Content Caffeine For content-obsessed marketers and SEOs Hi there, You might like the spam update reaction below (both funny and true?).Today's highlights include: A new way to pay publishers The crawl-to-click gap: What Cloudflare data shows The latest AI Mode experiments See the 'Inspiration' section for your new content strategy As always, thanks for being here. I'll be back on September 18.Nicole P.S. When you coin a new term, you can earn featured snippets. That's what happened with my...
Content Caffeine For content-obsessed marketers and SEOs Hi there, Today, you'll see a couple of thought-provoking perspectives on the state of content and how SEOs can thrive going forward. Let's dive in.Highlights include: Gary Illyes Reveals His Stance on AI Content What Percentage of Web Pages Are Created With AI? (and what this means) How To Become a Commercially Minded SEO Tools Are Underrated As always, thanks for being here. I'll be back on September 4.Nicole P.S. Well, this post on...
Content Caffeine For content-obsessed marketers and SEOs Hi there, ICYMI: The Google Search Liaison role is defunct. Danny Sullivan stepped away from the public-facing role he's held for nearly 8 years to "work on various projects within the Google Search team." Is this the end of any transparent communication with the search community?Today's highlights include: Just do normal SEO Rank tracking doesn't exist Brand mentions by LLMs: Mentions vs citations As always, thanks for being here. I'll...