When I think about game-changers in our digital landscape, my friend and Senior SEO for IBM, Phil Buckley, instantly comes to mind. Every chat with Phil is a masterclass. Every. Single. Time. It's like having your own personal SEO and digital marketing oracle - indispensable for folks like me swimming in the weird and ever-changing content universe. And then, out of the blue, Phil sends over this gem about his latest dalliances with ChatGPT and ClearScope. Talk about reimagining the future of our craft.
Unless you've been off the grid, you've felt the tremors ChatGPT 3.5 sent through the digital cosmos last December. How ChatGPT Will Change Your Website continues to be our most popular post this year. ChatGPT 4 is OpenAI's prodigy that didn't just tap dance on the Internet - it made people worry about tech singularities is near. The technological singularity is a hypothetical thing we used to think was way off in the distance. In the future technological growth could become uncontrollable and irreversible. And if that sounds like the end of the world, you're getting the idea. When artificial intelligence (AI) is more intelligent than us (humans), it may be time to live in a basement eating lots of can goods.
As AI content floods, SEO search results have become a tad muddled. It's as if OpenAI's Sam Altman is painting a Van Gogh while Google's still figuring out the brush strokes. But I digress. Our spotlight today? How AI will flip the script on content creation and website dynamics.
Now, ClearScope? That's a Phil recommendation (who'd have guessed?). It's an obsession. Content crafting? It's a love-hate dance. I enjoy the intricate puzzle of each article but groan at the prospect of keyword mining. Hoping to woo Google's finicky algorithms for over twenty years is becoming tiresome. Enter ClearScope. Clearscope isn't just a tool; it's art in AI form. Scouring the digital realm for content gold, serving it with a checklist, and even grading your next masterpiece, making the arcane art of keyword weaving less of a chore and more of a joyride.
Use links below to peek behind the curtain of my latest conversation with Phil and discover the future of content marketing and web development.
Working on a post about anomaly detection Phil did something I've done - he fed ClearScope's keyword list into a highly detailed ChatGPT prompt. Here is the ChatGPT's headline and first few paragraphs.
Unveiling Anomaly Detection: Uncovering the Abnormal in a Sea of Normal Anomaly detection, a cornerstone of data science, refers to the identification of items or events that differ significantly from the majority of data. These abnormalities, also referred to as outliers, deviate markedly from the normal behavior, attracting particular interest due to their potential insights. Anomaly detection has broad use cases, including fraud detection, intrusion detection systems in cybersecurity, fault detection in manufacturing, and healthcare monitoring. Various anomaly detection techniques leverage the power of artificial intelligence and machine learning algorithms to comb through vast datasets, identifying anomalous data points. Broadly, the types of anomaly detection methods can be categorized into three: supervised, semi-supervised, and unsupervised anomaly detection.
Anomaly detection, a cornerstone of data science, refers to the identification of items or events that differ significantly from the majority of data. These abnormalities, also referred to as outliers, deviate markedly from the normal behavior, attracting particular interest due to their potential insights. Anomaly detection has broad use cases, including fraud detection, intrusion detection systems in cybersecurity, fault detection in manufacturing, and healthcare monitoring.
Various anomaly detection techniques leverage the power of artificial intelligence and machine learning algorithms to comb through vast datasets, identifying anomalous data points. Broadly, the types of anomaly detection methods can be categorized into three: supervised, semi-supervised, and unsupervised anomaly detection.
Next Phil did something I haven't he refined his ChatGPT prompt with ClearScope's questions - something I've never used to my shame. Here is ChatGPT's new opening:
Anomaly Detection: Understanding, Working, and Applications As we plunge deeper into the digital era, data has emerged as the new oil, powering technologies and decisions in every field, from healthcare to finance, from cybersecurity to logistics. In the vast ocean of data, anomalies, or outliers, can signify important discoveries such as new trends, but they can also represent errors or frauds. Identifying these outliers is the core function of anomaly detection, a critical aspect of data science and artificial intelligence.
As we plunge deeper into the digital era, data has emerged as the new oil, powering technologies and decisions in every field, from healthcare to finance, from cybersecurity to logistics. In the vast ocean of data, anomalies, or outliers, can signify important discoveries such as new trends, but they can also represent errors or frauds. Identifying these outliers is the core function of anomaly detection, a critical aspect of data science and artificial intelligence.
Including ClearScope's questions helped ChatGPT tell a sticky story. That "data is the new oil" riff is AI genius and worthy of a its own post. Since we are all learning to be prompt engineers one lesson Phil just taught is to include questions. Here are the questions Phil's second prompt included and you'll see how they changed the content.
What does anomaly detection mean? How does anomaly detection work? What is an example of anomaly detection system? What causes anomaly detection? How can anomaly detection be used? What is the difference between anomaly detection and intrusion detection? What are the benefits of anomaly detection? How does anomaly detection differ from machine learning? How do anomaly detection systems help to avoid future problems? What is an example of a false positive?
Including the questions makes the next paragraph after this the next paragraph after the opening.
What is Anomaly Detection? Anomaly detection is a process used to identify data points in a dataset that deviate significantly from the normal behavior. These data points, known as outliers or anomalies, often provide critical and actionable insights in various fields. Anomalies can occur due to several reasons: system faults, fraudulent behavior, structural defects, human errors, or changes in the underlying system behavior. Anomaly detection algorithms are designed to detect these irregularities, providing an opportunity to handle them appropriately.
Anomaly detection is a process used to identify data points in a dataset that deviate significantly from the normal behavior. These data points, known as outliers or anomalies, often provide critical and actionable insights in various fields.
Anomalies can occur due to several reasons: system faults, fraudulent behavior, structural defects, human errors, or changes in the underlying system behavior. Anomaly detection algorithms are designed to detect these irregularities, providing an opportunity to handle them appropriately.
Questions become headers and organization is easy just follow the questions. The idea of including questions into prompts is so helpful I'm going to steal it and use with ChatGPT even when I'm not using ClearScope. Learn why I've always been a fan of Q &A marketing next.
We're all looking for genuine connections and answers in a world awash with noise. We're a species born with curiosity. Every tap on our smartphones, every Google search, every nudge to Siri is a testament to that innate need to know. The digital landscapes we navigate today aren't just spaces but communities. When I hopped onto the web scene in '99, there was a raw, pioneering spirit, a canvas to paint on. And then, social stormed in, knitting us together, making every online touchpoint feel less like a monologue and more like a dialogue.
The magic, as I see it, is in those dialogues. It's in the dance of questions asked and answered. And if you're not tapping into that rhythm, you're leaving so much unsaid and undiscovered. There's potency in letting your customers lead the conversation, allowing their inquiries to pave your content's path. There's an elegance to Q&A Marketing that bridges the personal and the digital while seamlessly tuning up SEO and fortifying the ties that bind brands and their believers.
Globally recognized brands like Apple and Microsoft are embracing the Q&A symphony and nimble players like Buffer and Canva. In this digital waltz, listening is the key. Platforms like Quora embody this art and science blend with its subtle dance of questions, answers, and community.
Guess what? Google's got a soft spot for a well-done Q&A. Answer the right questions, weave in the apt keywords, and voilà! Your SEO sings. We're on the cusp of another evolution, where AI assists and leads the narrative. It's crunching data, tailoring responses, and ushering in the age of chatbots. But remember, while tools change, the essence of connection remains.
Apple's community where peers become teachers is a testament to the depth of loyalty. In a similar vein, Microsoft leans into the masses' wisdom. Then there's Canva, crafting a haven on Facebook for design enthusiasts, and Moz, deciphering SEO one question at a time.
The ebb and flow of Q&A aren't just tactics; they're stories waiting to get told, relationships waiting to get forged. And as AI looms large, reshaping the landscape, it's time to huddle and re-imagine, much like the insightful conversation Phil and I had not so long ago. Now let's dive into Phil's Content Marketing Tools.
In a universe where we oscillate between the thrill of creation and the lure of leisure, I traded my retirement for the title "Content Marketing Director" alongside Eric. Each day, I sit at the loom of content creation, and here's tools Phil taught me to weave with:
ChatGPT: Think of it as your initial muse. Just as an artist lays the first brush strokes on canvas, ChatGPT shapes my first drafts. Borrowing a page from Phil Buckley's playbook, ClearScope's questions and keywords inform my ChatGPT prompts. While ChatGPT's eloquence is admirable, it lacks the heartbeat, the grit, the human touch that makes stories resonate. Yes, it can define marketing beautifully, but can it infuse the spirit of a marketer? Not yet.
ClearScope: My entry into the world of ClearScope, courtesy of my SEO guru friend Phil, was transformative. Imagine having an orchestra, and ClearScope is your conductor. It brings rhythm to your content, guiding you note by note (or keyword by keyword) until your performance is pitch-perfect. It's a pricey maestro, but oh, the symphonies you'll produce!
Dall-E & Photoshop AI Beta: Visual storytelling requires a deft hand, and when our Graphic Designer Rachelle's genius gets booked, I turn to Dall-E's text-to-image wonders. Yet, like any raw sketch, Dall-E's creations need refining, a task I entrust to Photoshop's AI beta - tools that prove any new tech is indistinguishable from magic.
These tools aren't just about automation. They're about augmenting the human spirit of storytelling. Yes, ChatGPT might gift us with a stellar draft, but it won't wrestle with self-doubt or bask in the glory of a job well done. It won't yearn for the weekend or cherish the aroma of a Flipboard Friday evening.
I've bookmarked tales about new ChatGPT plugins and add-ons for another day. For now, as the sun dips and the allure of the weekend beckons, I'm reminded of the magic that ensues dream, idea, and thought dance in harmony. And trust me, that's a sentiment no algorithm can truly capture or understand ... at least, not yet.