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How To Write ChatGPT Prompts To Get The Best Results

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How To Write ChatGPT Prompts To Get The Best Results

Celebrate the Holidays with some of SEJ’s best articles of 2023.

Our Festive Flashback series runs from December 21 – January 5, featuring daily reads on significant events, fundamentals, actionable strategies, and thought leader opinions.

2023 has been quite eventful in the SEO industry and our contributors produced some outstanding articles to keep pace and reflect these changes.

Catch up on the best reads of 2023 to give you plenty to reflect on as you move into 2024.


With the advent of AI-powered language models like ChatGPT, how well you write prompts determines the quality of the results you get from the tool.

You can instruct ChatGPT to generate information, social media posts, product descriptions, and more by providing a few keywords or phrases.

Whether you are a digital marketer, blogger, or business owner, mastering the art of writing prompts is essential to creating compelling content that resonates with your audience.

Writing effective prompts can be challenging because the quality of the output depends on the instructions’ specificity and clarity.

Here are some actionable tips and best practices for writing prompts that get the best results from ChatGPT.

Writing Prompts For ChatGPT

What Is A ChatGPT Prompt?

A ChatGPT prompt is an instruction or discussion topic a user provides for the ChatGPT AI model to respond to.

The prompt can be a question, statement, or any other stimulus intended to spark creativity, reflection, or engagement.

Users can use the prompt to generate ideas, share their thoughts, or start a conversation.

ChatGPT prompts are designed to be open-ended and can be customized based on the user’s preferences and interests.

How To Write Prompts For ChatGPT

Start by giving ChatGPT a writing prompt, such as “Write a short story about a person who discovers they have a superpower.”

ChatGPT will then generate a response based on your prompt. The answer may be a few sentences or several paragraphs long, depending on the prompt’s complexity and the level of detail you requested.

Use the ChatGPT-generated response as a starting point for your writing. You can take the ideas and concepts presented in the answer and expand on them, adding your own unique spin to the story.

If you want to generate additional ideas, try asking ChatGPT follow-up questions related to your original prompt.

For example, you could ask, “What challenges might the person face in exploring their newfound superpower?” or “How might the person’s relationships with others be affected by their superpower?”

Remember that ChatGPT’s answers are generated by artificial intelligence and may not always be perfect or exactly what you want.

However, they can still be a great source of inspiration and help you start writing.

Must-Have Chrome Plugin

I recommend installing the WebChatGPT plugin, which allows you to add relevant results from Google to your ChatGPT prompts.

This extension adds the first web results to your ChatGPT prompts for more accurate and up-to-date conversations.

Screenshot from ChatGPT, March 2023asking ChatGPT: Who is Vincent Terrasi

For example, if I asked, “Who is Vincent Terrasi?,” ChatGPT has no answer.

With WebChatGPT On, the Chrome plugin creates a new prompt with the first Google results, and now ChatGPT knows who Vincent Terrasi is.

But the hallucination is still there because I never worked for Hilti; ChatGPT invented the company because it didn’t have the data.

WebChatGPT answersScreenshot from ChatGPT, March 2023WebChatGPT answers

Master Reverse Prompt Engineering

ChatGPT can be an excellent tool for reverse engineering prompts because it generates natural and engaging responses to a given input.

By analyzing the prompts generated by ChatGPT, it is possible to gain insight into the model’s underlying thought processes and decision-making strategies.

One of the key benefits of using ChatGPT to reverse engineer prompts is that the model is highly transparent in its decision-making.

This means that it is possible to trace the reasoning and logic behind each response, making it easier to understand how the model arrives at its conclusions.

Once you’ve done this a few times for different types of content, you’ll gain insight on crafting more effective prompts.

Prepare Your ChatGPT For Generating Prompts

First, activate the reverse prompt engineering.

  • Type the following prompt: “Enable Reverse Prompt Engineering? By Reverse Prompt Engineering I mean creating a prompt from a given text.”
Enabling reverse prompt engineeringScreenshot from ChatGPT, March 2023Enabling reverse prompt engineering

Ok, ChatGPT is now ready to generate your prompt. You can test the product description in a new chatbot session and evaluate the generated prompt.

  • Type: “Create a very technical reverse prompt engineering template for a product description about iPhone 11.”
Reverse Prompt engineering via WebChatGPTScreenshot from ChatGPT, March 2023Reverse Prompt engineering via WebChatGPT

The result is amazing. You can test with a full text that you want to reproduce. Here is an example of a prompt for selling a Kindle on Amazon.

  • Type: “Reverse Prompt engineer the following {product), capture the writing style and the length of the text :
    product =”
Reverse prompt engineering: Amazon productScreenshot from ChatGPT, March 2023Reverse prompt engineering: Amazon product

I tested it on an SEJ blog post. Enjoy the analysis – it is excellent.

  • Type: “Reverse Prompt engineer the following {text}, capture the tone and writing style of the {text} to include in the prompt :
    text = all text coming from https://www.searchenginejournal.com/google-bard-training-data/478941/”
Reverse prompt engineering an SEJ blog postScreenshot from ChatGPT, March 2023Reverse prompt engineering an SEJ blog post

But be careful that you don’t use ChatGPT for generating your texts. It is just a personal assistant.

Is every answer generated by ChatGPT really unique? Or are we overestimating its ability to produce different texts?

This is the fascinating question that arose after I analyzed 10,000 texts produced by ChatGPT.

Conclusion

In conclusion, the study of the text quality generated by ChatGPT has produced some interesting results.

While the algorithm can produce similar answers to different questions, there are questions about the promise of OpenAI.

It appears that ChatGPT may not be the best tool for generating content due to a lack of creativity and significant duplication of content.

However, the tool may still be useful for finding the perfect prompt for generating qualitative text using other generators such as LLAMA, OPT, BLOOM, GPT3.5, or Cohere.

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HubSpot Rolls Out AI-Powered Marketing Tools

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HubSpot Rolls Out AI-Powered Marketing Tools

HubSpot announced a push into AI this week at its annual Inbound marketing conference, launching “Breeze.”

Breeze is an artificial intelligence layer integrated across the company’s marketing, sales, and customer service software.

According to HubSpot, the goal is to provide marketers with easier, faster, and more unified solutions as digital channels become oversaturated.

Karen Ng, VP of Product at HubSpot, tells Search Engine Journal in an interview:

“We’re trying to create really powerful tools for marketers to rise above the noise that’s happening now with a lot of this AI-generated content. We might help you generate titles or a blog content…but we do expect kind of a human there to be a co-assist in that.”

Breeze AI Covers Copilot, Workflow Agents, Data Enrichment

The Breeze layer includes three main components.

Breeze Copilot

An AI assistant that provides personalized recommendations and suggestions based on data in HubSpot’s CRM.

Ng explained:

“It’s a chat-based AI companion that assists with tasks everywhere – in HubSpot, the browser, and mobile.”

Breeze Agents

A set of four agents that can automate entire workflows like content generation, social media campaigns, prospecting, and customer support without human input.

Ng added the following context:

“Agents allow you to automate a lot of those workflows. But it’s still, you know, we might generate for you a content backlog. But taking a look at that content backlog, and knowing what you publish is still a really important key of it right now.”

Breeze Intelligence

Combines HubSpot customer data with third-party sources to build richer profiles.

Ng stated:

“It’s really important that we’re bringing together data that can be trusted. We know your AI is really only as good as the data that it’s actually trained on.”

Addressing AI Content Quality

While prioritizing AI-driven productivity, Ng acknowledged the need for human oversight of AI content:

“We really do need eyes on it still…We think of that content generation as still human-assisted.”

Marketing Hub Updates

Beyond Breeze, HubSpot is updating Marketing Hub with tools like:

  • Content Remix to repurpose videos into clips, audio, blogs, and more.
  • AI video creation via integration with HeyGen
  • YouTube and Instagram Reels publishing
  • Improved marketing analytics and attribution

The announcements signal HubSpot’s AI-driven vision for unifying customer data.

But as Ng tells us, “We definitely think a lot about the data sources…and then also understand your business.”

HubSpot’s updates are rolling out now, with some in public beta.


Featured Image: Poetra.RH/Shutterstock

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Holistic Marketing Strategies That Drive Revenue [SaaS Case Study]

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Holistic Marketing Strategies That Drive Revenue [SaaS Case Study]

Brands are seeing success driving quality pipeline and revenue growth. It’s all about building an intentional customer journey, aligning sales + marketing, plus measuring ROI. 

Check out this executive panel on-demand, as we show you how we do it. 

With Ryann Hogan, senior demand generation manager at CallRail, and our very own Heather Campbell and Jessica Cromwell, we chatted about driving demand, lead gen, revenue, and proper attribution

This B2B leadership forum provided insights you can use in your strategy tomorrow, like:

  • The importance of the customer journey, and the keys to matching content to your ideal personas.
  • How to align marketing and sales efforts to guide leads through an effective journey to conversion.
  • Methods to measure ROI and determine if your strategies are delivering results.

While the case study is SaaS, these strategies are for any brand.

Watch on-demand and be part of the conversation. 

Join Us For Our Next Webinar!

Navigating SERP Complexity: How to Leverage Search Intent for SEO

Join us live as we break down all of these complexities and reveal how to identify valuable opportunities in your space. We’ll show you how to tap into the searcher’s motivation behind each query (and how Google responds to it in kind).

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What Marketers Need to Learn From Hunter S. Thompson

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What Marketers Need to Learn From Hunter S. Thompson

We’ve passed the high-water mark of content marketing—at least, content marketing in its current form.

After thirteen years in content marketing, I think it’s fair to say that most of the content on company blogs was created by people with zero firsthand experience of their subject matter. We have built a profession of armchair commentators, a class of marketers who exist almost entirely in a world of theory and abstraction.

I count myself among their number. I have hundreds of bylines about subfloor moisture management, information security, SaaS pricing models, agency resource management. I am an expert in none of these topics.

This has been the happy reality of content marketing for over a decade, a natural consequence of the incentives created by early Google Search. Historically, being a great content marketer required precisely no subject matter expertise. It was enough to read widely and write quickly.

Mountains of organic traffic have been built on the backs of armchair commentators like myself. Time spent doing deep, detailed research was, generally speaking, wasted, because 80% of the returns came from simply shuffling other people’s ideas around and slapping a few keyword-targeted H2s in the right places.

But this doesn’t work today.

For all of its flaws, generative AI is an excellent, truly world-class armchair commentator. If the job-to-be-done is reading a dozen articles and how-to’s and turning them into something semi-original and fairly coherent, AI really is the best tool for the job. Humans cannot out-copycat generative AI.

Put another way, the role of the content marketer as a curator has been rendered obsolete. So where do we go from here?

“The only way to write honestly about the scene is to be part of it.”
—Hunter S. Thompson, Hell’s Angels“The only way to write honestly about the scene is to be part of it.”
—Hunter S. Thompson, Hell’s Angels

Hunter S. Thompson popularised the idea of gonzo journalism, “a style of journalism that is written without claims of objectivity, often including the reporter as part of the story using a first-person narrative.”

In other words, Hunter was the story.

When asked to cover the rising phenomenon of the Hell’s Angels, he became a Hell’s Angel. During his coverage of the ‘72 presidential campaign, he openly supported his preferred candidate, George McGovern, and actively disparaged Richard Nixon. His chronicle of the Kentucky Derby focused almost entirely on his own debauchery and chaos-making—a story that has outlasted any factual account of the race itself.

In the same vein, content marketers today need to become their stories.

It’s a content marketing truism that it’s unreasonable to expect writers to become experts. There’s a superficial level of truth to that claim—no content marketer can acquire a decade’s worth of experience in a few days or weeks—but there are great benefits awaiting any company willing to challenge that truism very, very seriously.

As Thompson proved, short, intense periods of firsthand experience can yield incredible insights and stories. So what would happen if you radically reduced your content output and dedicated half of your content team’s time to research and experimentation? If their job was doing things worth writing about, instead of just writing? If skin-in-the-game, no matter how small, was a prerequisite of the role?

We’re already seeing this shift.

“The closest analogy to the ideal would be a film director/producer who writes his own scripts, does his own camera work and somehow manages to film himself in action, as the protagonist or at least a main character.”
—Hunter S. Thompson, The Great Shark Hunt“The closest analogy to the ideal would be a film director/producer who writes his own scripts, does his own camera work and somehow manages to film himself in action, as the protagonist or at least a main character.”
—Hunter S. Thompson, The Great Shark Hunt

Every week, I see more companies hiring marketers who are true, bonafide subject matter experts (I include the Ahrefs content team here—for the majority of our team, “writing” is a skill secondary to a decade of hands-on search and marketing experience). They are expensive, hard to find, and in the era of AI, worth every cent.

I see a growing expectation that marketers will document their experiences and experiments on social media, creating meta-content that often outperforms the “real” content. I see more companies willing to share subjective experiences and stories, and avoid competing solely on the sharing of objective, factual information. I see companies spending money to promote the personal brands of in-house creators, actively encouraging parasocial relationships as their corporate brand accounts lay dormant.

These are ideas that made no sense in the old model of content marketing, but they make much more sense today. This level of effort is fast becoming the only way to gain any kind of moat, creating material that doesn’t already exist on a dozen other company blogs.

In the era of information abundance, our need for information is relatively easy to sate; but we have a near-limitless hunger for entertainment, and personal interaction, and weird, pattern-interrupting experiences.

Gonzo content marketing can deliver.

“But what was the story? Nobody had bothered to say. So we would have to drum it up on our own.”
—Hunter S. Thompson, Fear and Loathing in Las Vegas“But what was the story? Nobody had bothered to say. So we would have to drum it up on our own.”
—Hunter S. Thompson, Fear and Loathing in Las Vegas

 

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