Write SEO Content With Ease
In this article, Hamish is thrilled to share some significant updates he’s made to the Surfer SEO content writer tool, specifically designed for non-eCommerce applications. Initially, Hamish planned to use Tiny Home Hub for this demonstration. However, since it’s not indexed on Bing, he had to opt for the reliable TW men. website. It’s crucial for Bing’s research capabilities that the website is indexed.
A key modification Hamish has implemented is the removal of the code interpreter from the script. This change was essential as the interpreter frequently caused confusion, especially when interacting with the custom GPT. This confusion not only slowed down the process but also made the tool less effective.
Now, the revised tool starts by conducting in-depth research on your website. Subsequently, it should prompt you for a keyword. If it doesn’t automatically ask for one, you can manually enter the keyword.
To demonstrate another enhancement Hamish has made to the GPT, he’ll use a trending keyword as an example. For this purpose, let’s consider “Suit Trends 2024” as our keyword. This will help illustrate the tool’s improved functionality and adaptability to current trends.
This approach is highly versatile and can be applied to various contexts, such as creating service pages for a software company. It’s adaptable to countless scenarios.
Just follow the method I’m demonstrating, but instead of using “Suit Trends 2024”, try something like “Mobile App Developer Trends 2024”. You’ll find that the results are incredibly accurate and relevant.
For this demonstration, I’ll use “Suit Trends 2024”. Admittedly, my knowledge in fashion trends isn’t as extensive as it is in technology trends, so my analysis might not be as in-depth as it was for a client I recently worked with. Unfortunately, I can’t discuss that particular client due to confidentiality agreements.
However, this method is perfect for creating blog posts about topics that are rapidly evolving in 2024. The first step the tool takes is to search for “Suit Trends 2024”. It conducts a quick search and then provides a summary of its findings. Although there’s a specific reason behind this approach, which I can’t fully explain right now, the effectiveness of this method in generating on-point content is clear.
Recently, I’ve encountered a slight issue where the tool isn’t consistently revealing its findings, which can be somewhat frustrating. Additionally, it prompts for internal links. Here, I advise against going overboard. In fact, I’m going to demonstrate this by initially providing a large number of links, but then I’ll significantly reduce them. This is because, in my experience, giving too many links can overwhelm the CHAT GPT.
To explain my process: I first navigated to my website’s sitemap, which is typically found at [yourwebsite]/sitemap.xml. Then, I focused on the collections map. To efficiently gather the links, I used a Chrome extension called ‘Sitemap to Clipboard’ – you can easily find it on Google, it’s usually the first result. After activating the extension, I clicked the HTTPS button to start the process, which captures all the internal links I prefer to use. I like using links from my collections as internal links.
However, I’ve realized that providing CHAT GPT with an excessive amount of information right at the outset can be counterproductive, as it struggles to process too much data. Therefore, I’ll be deleting a number of these links to streamline the input. This approach should help in maintaining the efficiency and effectiveness of the tool.
When we talk about ‘collections’, think of them as your category pages or pillar pages. These are crucial for internal linking, which can be directed to your blog posts or any other relevant content on your site. The key is to internally link to content that you’re aiming to boost on Google.
Now, addressing the final question: how many iterations should be generated for the article? We’ll set it at three, which should yield approximately 1,200 to 1,500 words. This will give us a good look at the content quality and relevance.
I’ve noticed some interesting trends in the content already. For instance, looser fitting suits are gaining popularity. I recall reading about this trend, highlighted by celebrities like Justin Bieber, who has been seen wearing very loose suits. This style, characterized by its relaxed fit, is currently in vogue. While I personally don’t favor this style, it’s undeniably trendy at the moment.
Another aspect that caught my attention was the use of soft and stretchy fabrics in these suits, which seems to be a standard choice. Additionally, bold colors and patterns are becoming more prominent. These elements reflect the current fashion trends, indicating a shift towards more daring and comfortable styles in suit design.
The trend analysis reveals a growing popularity in sporty tailoring, which aligns with the current fashion inclinations. Oversized tailoring, as we discussed earlier, is also gaining traction. This style seems to lean more towards oversized than simply looser fitting. Another interesting combination emerging is denim shirt pairings, though I’m a bit uncertain about this trend.
Looking at the generated content, we can see that it’s quite comprehensive. While it currently lacks a title, you can easily request the tool to generate one afterwards. The article includes a well-structured table and standard content, along with several internal links. Overall, the quality of the content is impressive, and the inclusion of numerous internal links is particularly beneficial for SEO purposes.
Continuing with the process, the tool decides to add another table, which I find acceptable. In fact, I welcome more tables as they often enhance the content’s readability and organization.
When converting from markdown to HTML, simply click inside the box, press Ctrl+A to select all, and then Ctrl+V to paste. A recent observation with Chad GPT is the need to click on the line just before the first vertical line in the markdown table and press Enter once. This step seems to facilitate a smoother conversion process.
I understand the frustration with getting the table to populate correctly; sometimes, the tool behaves inconsistently in that regard. There have been recurring issues with Chat GPT, such as the repetition of certain mistakes and photo discrepancies when using the e-commerce creator. It’s possible that these issues are related to the assistant API, though the exact cause isn’t clear.
Regarding the internal links, it appears there might be a few duplicates, which is another issue that Chat GPT has been exhibiting recently. Additionally, it seems to randomly jump to the next line at times, which can indeed be quite annoying and disrupt the flow of the content.
Despite these quirks, it’s important to note that Chat GPT remains a valuable tool for generating content and insights on various topics, including versatile overcoats and the enduring popularity of luxury fabrics. The inclusion of high-tech elements in fashion is also a consistent trend that resonates with modern consumers.
Indeed, the trend of turtlenecks paired with suits is unmistakable and gaining momentum. It’s a trend that’s been prominently featured, especially among financial influencers on platforms like Instagram. The content generated has become quite extensive, which is a positive outcome.
For those who are curious, this custom GPT has been actively utilized, with over 13,000 interactions. You might have noticed that this GPT is ranked sixth in the writing category on the Chat GPT store, which is a noteworthy achievement.
Here’s a useful tip: You can gauge the usage of a specific GPT by typing its name, allowing you to keep an eye on the competition. This is how I monitor my competitors and get insights into their performance. In this case, I can see that this GPT has had 1,000 interactions.
It’s interesting to note that the usage count for custom GPTs follows a pattern, starting from zero to a thousand, then from one thousand to five thousand, and so on. This information can be valuable for users who want to gauge the popularity and activity of specific GPT models.
Using this method, you can keep track of how many interactions a GPT has had, which can be a useful way to monitor competition. For example, Julian’s GPT has reached 10,000 interactions, and the GPT you’re demonstrating in this video also has 10,000. It’s a great strategy for staying informed about what’s happening in the Chat GPT store and staying ahead of the curve.
Towards the end of the article, there’s an option to request data visualization. This can be particularly useful for turning a lengthy and potentially dull article into something more engaging and informative. It can give you a competitive edge by presenting data in an interesting and visually appealing manner, setting your content apart from others generated solely through Chat GPT.
Hamish, has outlined a fantastic strategy for establishing a niche and delivering higher-quality content by incorporating visual elements. It’s important to acknowledge that occasionally, Chat GPT-generated content may need some fine-tuning due to unexpected issues or anomalies.
For example, in the case of the vintage inspiration table, you had to insert an additional line between two lines to correct it. Moreover, you mentioned that the code interpreter has been disabled, preventing the use of code interpreter capabilities. However, Hamish, you can still take the generated article and request another Chat GPT session to create an engaging table or visualize data. Google generally doesn’t penalize for generated content, making this approach a valid option.
The content you’ve produced in less than 5 minutes, complete with seeding and keyword research, spans almost 2,000 words. This achievement underscores the efficiency and effectiveness of this tool.
Thank you, Hamish, for sharing your valuable insights and providing a link to the custom GPT in the description. I eagerly await more of your content in the future. Until then, peace out!