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SEO Recap: ChatGPT – Moz

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SEO Recap: ChatGPT - Moz

Författarens åsikter är helt hans eller hennes egna (exklusive den osannolika händelsen av hypnos) och återspeglar kanske inte alltid Moz åsikter.

We’re back with another SEO recap with Tom Capper! As you’ve probably noticed, ChatGPT has taken the search world by storm. But does GPT-3 mean the end of SEO as we know it, or are there ways to incorporate the AI model into our daily work?

Tom tries to tackle this question by demonstrating how he plans to use ChatGPT, along with other natural language processing systems, in his own work.

Be sure to check out the commentary on ChatGPT from our other Moz subject matter experts, Dr. Pete Meyers and Miriam Ellis:

Video Transcription

Hello, I’m Tom Capper from Moz, and today I want to talk about how I’m going to use ChatGPT and NLP, natural language processing apps in general in my day-to-day SEO tasks. This has been a big topic recently. I’ve seen a lot of people tweeting about this. Some people saying SEO is dead. This is the beginning of the end. As always, I think that’s maybe a bit too dramatic, but there are some big ways that this can be useful and that this will affect SEOs in their industry I think.

The first question I want to ask is, “Can we use this instead of Google? Are people going to start using NLP-powered assistants instead of search engines in a big way?”

So just being meta here, I asked ChatGPT to write a song about Google’s search results being ruined by an influx of AI content. This is obviously something that Google themselves is really concerned about, right? They talked about it with the helpful content update. Now I think the fact that we can be concerned about AI content ruining search results suggests there might be some problem with an AI-powered search engine, right?

No, AI powered is maybe the wrong term because, obviously, Google themselves are at some degree AI powered, but I mean pure, AI-written results. So for example, I stole this from a tweet and I’ve credited the account below, but if you ask it, “What is the fastest marine mammal,” the fastest marine mammal is the peregrine falcon. That is not a mammal.

Then it mentions the sailfish, which is not a mammal, and marlin, which is not a mammal. This is a particularly bad result. Whereas if I google this, great, that is an example of a fast mammal. We’re at least on the right track. Similarly, if I’m looking for a specific article on a specific web page, I’ve searched Atlantic article about the declining quality of search results, and even though clearly, if you look at the other information that it surfaces, clearly this has consumed some kind of selection of web pages, it’s refusing to acknowledge that here.

Whereas obviously, if I google that, very easy. I can find what I’m looking for straightaway. So yeah, maybe I’m not going to just replace Google with ChatGPT just yet. What about writing copy though? What about I’m fed up of having to manually write blog posts about content that I want to rank for or that I think my audience want to hear about?

So I’m just going to outsource it to a robot. Well, here’s an example. “Write a blog post about the future of NLP in SEO.” Now, at first glance, this looks okay. But actually, when you look a little bit closer, it’s a bluff. It’s vapid. It doesn’t really use any concrete examples.

It doesn’t really read the room. It doesn’t talk about sort of how our industry might be affected more broadly. It just uses some quick tactical examples. It’s not the worst article you could find. I’m sure if you pulled a teenager off the street who knew nothing about this and asked them to write about it, they would probably produce something worse than this.

But on the other hand, if you saw an article on the Moz blog or on another industry credible source, you’d expect something better than this. So yeah, I don’t think that we’re going to be using ChatGPT as our copywriter right away, but there may be some nuance, which I’ll get to in just a bit. What about writing descriptions though?

I thought this was pretty good. “Write a meta description for my Moz blog post about SEO predictions in 2023.” Now I could do a lot better with the query here. I could tell it what my post is going to be about for starters so that it could write a more specific description. But this is already quite good. It’s the right length for a meta description. It covers the bases.

It’s inviting people to click. It makes it sound exciting. This is pretty good. Now you’d obviously want a human to review these for the factual issues we talked about before. But I think a human plus the AI is going to be more effective here than just the human or at least more time efficient. So that’s a potential use case.

What about ideating copy? So I said that the pure ChatGPT written blog post wasn’t great. But one thing I could do is get it to give me a list of subtopics or subheadings that I might want to include in my own post. So here, although it is not the best blog post in the world, it has covered some topics that I might not have thought about.

So I might want to include those in my own post. So instead of asking it “write a blog post about the future of NLP in SEO,” I could say, “Write a bullet point list of ways NLP might affect SEO.” Then I could steal some of those, if I hadn’t thought of them myself, as potential topics that my own ideation had missed. Similarly you could use that as a copywriter’s brief or something like that, again in addition to human participation.

My favorite use case so far though is coding. So personally, I’m not a developer by trade, but often, like many SEOs, I have to interact with SQL, with JavaScript, with Excel, and these kinds of things. That often results in a lot of googling from first principles for someone less experienced in those areas.

Even experienced coders often find themselves falling back to Stack Overflow and this kind of thing. So here’s an example. “Write an SQL query that extracts all the rows from table2 where column A also exists as a row in table1.” So that’s quite complex. I’ve not really made an effort to make that query very easy to understand, but the result is actually pretty good.

It’s a working piece of SQL with an explanation below. This is much quicker than me figuring this out from first principles, and I can take that myself and work it into something good. So again, this is AI plus human rather than just AI or just human being the most effective. I could get a lot of value out of this, and I definitely will. I think in the future, rather than starting by going to Stack Overflow or googling something where I hope to see a Stack Overflow result, I think I would start just by asking here and then work from there.

That’s all. So that’s how I think I’m going to be using ChatGPT in my day-to-day SEO tasks. I’d love to hear what you’ve got planned. Let me know. Thanks.

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Salesforce, Google partner on local commerce

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Salesforce, Google partner on local commerce

Salesforce has announced an integration between Salesforce Commerce Cloud and Google Merchant Center to help merchants highlight the availability of products in stores. The move builds on Salesforce data that suggests both the widespread use of online search in advance of brick and mortar store visits, and an increased likelihood of shopping trips when consumers can see that a store has an item in stock.

Using this new integration, merchants using Commerce Cloud will be able to turn local inventory data into local product listings on Google Search and Google Maps and in the Shopping tab.

Varför vi bryr oss. The distinction between digital and real-world commerce continues to collapse. Those online shopping behaviors that exploded during the pandemic will be with us for the foreseeable future, but it doesn’t mean store visits are a thing of the past.

Rather, consumers are looking for seamless connections between an online product discovery experience and in-person purchases. This integration seeks to support that aim at a granular local level.

The Salesforce data that supports the move can be found here.

Embedding commerce in discovery. The integration also braids together online discovery and the commerce experience. Just as many merchants now seek to provide a frictionless transition from finding a product online to making a digital purchase, this sees the opportunity to link discovery with in-person shopping.

This move pairs with the recent announcement of Salesforce’s Einstein GPT for Commerce that combines proprietary and generative AI models with real-time data such as customer demographic data and shopping history, to automate and tailor shopper recommendations in Commerce Cloud.

Gräv djupare: A roundup of the latest AI-powered marketing technology releases


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Om författaren

Kim Davis

Kim Davis är redaktionschef för MarTech. Född i London, men en New Yorker i över två decennier, började Kim täcka företagsprogramvara för tio år sedan. Hans erfarenhet omfattar SaaS för företaget, digital-annons-datadriven stadsplanering och tillämpningar av SaaS, digital teknik och data i marknadsföringsområdet.

Han skrev först om marknadsföringsteknologi som redaktör för Haymarkets The Hub, en dedikerad marknadsföringsteknologiwebbplats, som sedan blev en kanal på det etablerade direktmarknadsföringsmärket DMN. Kim började på DMN proper 2016, som senior redaktör, och blev Executive Editor, sedan chefredaktör en position som han hade till januari 2020.

Innan han arbetade med teknisk journalistik var Kim Associate Editor på en hyperlokal nyhetssajt i New York Times, The Local: East Village, och har tidigare arbetat som redaktör för en akademisk publikation och som musikjournalist. Han har skrivit hundratals New York restaurangrecensioner för en personlig blogg och har varit en och annan gästbidragsgivare till Eater.

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Vad är AIO? Den nya modellen revolutionerar innehåll och förutsägelser om AI

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Vad är AIO? Den nya modellen revolutionerar innehåll och förutsägelser om AI

I 1936, the creator of Turing Machines predicted that a machine would one day be able to think like a human, if not even outperform the human. 

It’s 2023, and we’re officially here.

82% of marketers believe that AI will be the future of marketing—in fact, many of them already believe AI writes better than a human (Capterra study).

Well, with ChatGPT flying past 100 million users in just two months…we’re living in the future.

AI is revolutionizing the way we work, think, and create. 

I joined Content at Scale as the VP of Marketing this January in a bold move of ‘adapting or die’ for my career in content—one month in, what I’m seeing, learning, and facilitating for marketers and teams is blowing my mind. Let’s talk about it.

Reduce Content Overhead Costs and Frustrations by 5x-25x With the AIO Model

It’s now the Stone Age to sit at your computer and drum up 2,500 words for an SEO post from a blank slate.

Seriously.

1679645854 863 Vad är AIO Den nya modellen revolutionerar innehållsförutsägelser

When you can generate long-form SEO content (2,500 words or more) that’s fully original and well-written inside of five minutes or less, you’ll never want to go back. 

On average, I’m seeing a 5-25x reduction in associated content creation costs (which is mind-boggling!), and a time savings of 5-10x. (My full-time writer at Content Hacker went from 7 hours per post to one hour per post after we adapted this model.)

Here’s the AIO model I’ve built out reflecting the difference of what you can do in your business and marketing by replacing the human blank-slate writing with AI blank-slate writing, based on hundreds upon hundreds of use cases from Content at Scale clients:

1679645854 917 Vad är AIO Den nya modellen revolutionerar innehållsförutsägelser

“AIO”, Artificial Intelligence Optimization, is the term I’ve created to properly define the new way we’re seeing hundreds of marketers and teams create content:

  • Artificial Intelligence as the baseline writer (replacing the human writer and blank slate)
  • The human writer as an optimizer of the AI baseline content

And—it’s working.

With the time and money savings, it’s an absolute no-brainer to switch to AI as the baseline.

The Human Process Involved In AIO

While we see AI perfectly capable of writing an entire 2,500 word blog from scratch, with a single keyword and one-sentence prompt:

Vad är AIO Den nya modellen revolutionerar innehållsförutsägelser

We also see the need for the human optimization process pre-publicera more necessary than ever.

Without your unique story (or client case studies/testimonials) woven in, the human touch of adding statistics, double-checking facts and cutting the fluff; AI-written content simply won’t stand out. It won’t set you apart in the content sea; it won’t drive customers and loyal fans in droves to your email list. So, the human touch is necessary.

My C.R.A.F.T. framework within AIO defines the steps writers should take to make the AI content more human and personalized once you take it from AI and get it ready to publish (from AI to O):

1.     Cut the fluff

2.     Review, edit, optimize

3.     Add images, visuals, media

4.     Fact-check

5.     Trust-build with personal story, tone, links

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Humans are needed for the optimization side, and for that human touch that must be applied to the content AI generates. Content itself will never be a fully automated, 100% AI process; but AI can remove hours and hours of painstaking work from the content creation pipeline, which will save countless amounts of energy and dollars in the coming months and years when marketers adapt in full force.

 Predictions About the Future of Content & AI

This year, Capterra surveyed almost 200 marketers using AI in their marketing. 82% of them said that the content written by AI was just as good if not better than human-generated content.

One of the first Generative AI experts in the world, Nina Schick (founder of Tamang Ventures, and creator of Substack project ‘The Era of Generative AI’), has told Yahoo Finance Live that she believes ChatGPT will completely revamp how digital content is created, and by 2025, software built with ChatGPT will enable us to reach 90% of all online content now being generated by AI. She said: “ChatGPT has really captured the public imagination in an extremely compelling way, but I think in a few months’ time, ChatGPT is just going to be seen as another tool powered by this new form of AI, known as generative AI,” she said.

Google Trends shows a HUGE jump in interest and traffic around the term “ChatGPT:”

Vad är AIO Den nya modellen revolutionerar Content Predictions.webp

Search traffic shows that the interest in AI is the highest it has ever been. The previous peak was in January 2012:

1679645855 976 Vad är AIO Den nya modellen revolutionerar Content Predictions.webp

375 million jobs obsolete in the next ten years. In the next three years, it’s predicted that 120 million workers around the globe will need to be retrained and re-skilled for this new world.

Newer and better-paying jobs in AI will come on the scene, but they won’t replace the amount of jobs lost; so without retraining and reskilling, and learning how to adapt, average people will have difficulty finding new work.  

Are You Ready to Join the Future? 

I’m excited to see just how much AI will revolutionize human efficiency and optimization. 

We’re in new times.

Are you ready to join the future of marketing and learn about all things AI?

I know I am. 

See you on the other side!


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Den nya digitala världen: Topp 3 viktiga takeaways från Opticon

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Den nya digitala världen: Topp 3 viktiga takeaways från Opticon



Each year, I look forward to Opticon, where our global community of customers, partners, industry experts, academia, media, and digital leaders come together to explore the latest in digital.

 

This year, we brought everyone together in San Diego, in person for the first time since 2019. Over  three dynamic days, we enjoyed countless conversations envisioning a future of digital where experiences are created and optimized at the same time. 

 

Plenty of valuable learnings were shared, but I’ve highlighted my top three takeaways below.

 

  1. Change has become uncertain; we must be adaptive.

The world is moving faster than ever, and change is constant and chaotic. Today’s digital leaders must navigate uncertainty on nearly every level: economic upheaval, rapid cultural change, ever-escalating customer expectations, and a tight talent market. Digital leaders face challenges that make it difficult for consumers and brands to react and connect. 

 

But another element of change has profoundly changed over the past three years: change has become unpredictable, dramatically increasing the difficulty of creating the end-user experience. To not only stay the course but to grow in this unpredictable environment, you must put your organization on “adaptive footing” to account for quick changes. 

 

That’s why Optimizely is increasing digital team agility through automation and AI and building simpler, reliable systems of records. Think customizable AI workflow for content creation and approval processes, automation to sync updates across all destinations, and approved templates that can be integrated seamlessly for marketers to speed up production while maintaining governance. 

 

Keeping pace with the digital elite requires frictionless collaboration across teams, and there is no time to waste on clunky, inefficient workflows.

 

  1. A great customer experience requires a great practitioner experience. ​

Simplifying “work about work” helps teams not only ride the wave of change but prioritize their well-being. 

 

So many marketers feel overwhelmed by complexity, which is a real problem for creativity. You wouldn’t want your sports team playing exhausted or demoralized before the big game; the same goes for your team at work. 

 

When we surveyed global marketers, the top creative roadblocks included employee burnout and high turnover. Our research also revealed that 92% of global marketers believe dispersed teams caused by remote or hybrid work impacted their ability to develop ideas and execute campaigns, and 93% say their creative ideas were better before the pandemic. 

 

If the practitioner experience is suffering, your can bet that the customer experience is also suffering. We must ensure our teams are up for the challenge of keeping pace. 

 

Teams need a platform where they can effectively collaborate and communicate across internal silos inclusively, and where workflows are purpose-built to the needs across the content lifecycle. With this reality in mind, we built Optimizely’s Ddigital Eexperience Pplatform (DXP) — because inclusive, well-orchestrated collaboration leads to better outcomes for all.

 

  1. Marketers, developers, and product leaders have become part of the same digital team. 

Today’s customers are digitally adept and confident, and their brand expectations — and the stakes of meeting those expectations — are rising faster than ever before. 

 

Enligt recent research on customer expectations, 80% of customers now consider the experience a company provides to be as important as its products and services, and 71% say they’ve made a purchase decision based on experience quality.

 

Being customer-centric is at the heart of any great digital experience. That’s why the digital team — comprised of marketers, developers, and product teams in our modern digital landscape — must work together to meet customer expectations and deliver optimized experiences. 

 

Consider marketers. With access to a slew of customer touchpoints and experimentation data, the marketing team is a critical resource for understanding customers’ wants and needs. Developers, product teams, and beyond should absolutely utilize this data to remove the guesswork and inform strategies, priorities, roadmaps, and decisions. 

 

By working together to inject data across silos, teams can have the insight needed to make the right decisions and create with confidence. 

 

Thank you to all who kindly shared their wisdom during this year’s Opticon. Stay tuned for information about next’s year Opticon, taking place October 10-12, 2023 back in San Diego!


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