Content marketing is crucial for brand awareness and engagement in the digital landscape.

Generating compelling ideas consistently can be daunting, but generative AI like ChatGPT offers solutions.

This article explores top AI tips to boost your content marketing efforts.

AI prompts are any type of text, data, or question that tells the AI the desired response you seek. These prompts can inspire and generate ideas for limitless content marketing concepts.

Before diving into AI-generated prompts, define your content marketing goals. Are you aiming to educate your audience, generate leads or increase brand visibility?

By having clear objectives in mind, you can better tailor your AI prompts to deliver the desired outcomes.

Dig deeper: 8 important content strategy goals to consider

Want to access the full potential of AI prompts? Use platforms that provide advanced language models.

These platforms allow you to generate high-quality prompts by providing relevant instructions and context.

Experiment with different platforms to find the one that aligns with your needs and offers the best results.

Image AI platforms:

Text AI platforms:

AI music platforms:

AI movie generator platforms:

Use AI prompts effectively to pose thought-provoking questions about your industry or niche.

These questions can be excellent starting points for blog posts, social media content or videos.

For example, if you are in the fitness industry, an AI-generated prompt like What are the latest trends in high-intensity interval training? can inspire a comprehensive article that engages your audience.

Prompt ideas:

AI prompts can help you think outside the box and generate unique perspectives on a given topic.

Instead of relying solely on your own expertise, use AI-generated prompts to explore different angles and viewpoints.

This can add depth and diversity to your content, making it more engaging and valuable for your audience.

Prompt ideas:

Dig deeper: Elevate your PPC with ChatGPT: The art of asking disconfirming questions

ChatGPTs responses may not always be perfect or exactly what youre looking for on the first try.

Experiment with different phrasing or approaches to refine your interaction and get closer to your desired unique perspective.

Engage in dialogue

Instead of asking a single question, engage in a back-and-forth conversation with ChatGPT.

Ask follow-up questions and request elaboration to deepen the exploration of ideas. This iterative approach can help generate more nuanced and diverse perspectives.

Incorporate real-world examples

Provide relevant examples or scenarios to ground the conversation in real-life contexts.

This can help ChatGPT draw connections and generate unique perspectives based on its understanding of the world.

Use your creativity

Stuck in a creative rut? AI prompts can act as creative catalysts, sparking new ideas and fresh content concepts.

Experiment with different prompts and instructions to see how AI-generated suggestions can inspire you to think differently.

For instance, a prompt like Write a futuristic scenario envisioning the impact of AI on Medicare Enrollment could lead to an imaginative and thought-provoking piece.

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ChatGPT can comprehend different styles and tones. Here are some styles and examples to help curate your content to get a more specific result.

A formal and authoritative tone suitable for business-related queries or professional discussions.

Example: "Based on extensive research, it can be concluded that..."

Use cases:

A conversational and approachable tone that fosters a casual atmosphere.

Example: "Hey there! I'm here to help you out. What can I assist you with today?"

Use cases:

An objective and informative tone that provides accurate and detailed explanations.

Example: "The process of photosynthesis involves the conversion of sunlight, water, and carbon dioxide into glucose and oxygen."

A lighthearted and fun tone that adds a touch of humor to the conversation.

Example: "Hold on to your hat, because I've got an amazing answer coming your way!"

Use cases

A humorous writing style can make the information more engaging and shareable or even put a fun spin on a conversation with a customer.

A compassionate and understanding tone suitable for discussing sensitive topics or offering emotional support.

Example: "I understand that this situation can be challenging. I'm here to listen and help you through it."

Use cases

Heres a list of prompts that can help you or your team create great ideas:

AI prompts empower content marketers to enhance their creativity and deliver impactful messages that resonate with their audience.

As technology advances, embracing AI in content marketing will become increasingly essential for businesses seeking to stay ahead in the digital landscape.

Opinions expressed in this article are those of the guest author and not necessarily Search Engine Land. Staff authors are listed here.

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Top AI tips and prompts to supercharge your content marketing - Search Engine Land

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A new AI-generated movie trailer that splices together the wildly-hyped movies Barbie and Oppenheimer into a mashup featuring a pink mushroom cloud has gone viral.

The trailer offers a spot-on sendup on the Barbenheimer hype that had moviegoers flocking to see both movies back-to-back, even though the two films couldnt be more different Oppenheimer is a sober biopic about the life and legacy of J. Robert Oppenheimer, father of the atomic bomb, while Barbie is a fizzy, feminist, live-action look at the famous doll.

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Powered by image generation AI Midjourney and movie generator Runway Gen2 and featuring AI-generated voices supposedly belonging to Margot Robbie and Matt Damon, the Barbenheimer crossover took just four days to make, according to the creators Reddit post, where he shared a link to his course on AI filmmaking.

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But as a reporter covering AIs cheerful, bullish, even fluffy side as well as its serious, sobering side, I cant help but think about three things the AI-generated Barbenheimer movie trailer says about the state of generative AI right now.

So, its no surprise that as the Barbenheimer hype rocketed upward, any online content-maker could jump on board with their own quick-and-dirty AI-generated take to share across social platforms. A traditional ad agency couldnt possibly move fast enough to pull off the same kind of Barbenheimer sendup to meet the moment, and the costs would be prohibitive enough that they likely wouldnt even try.

In an era when social media content is part of the zeitgeist more than ever, theres no doubt that the speed of development of AI-generated entertainment is perfectly placed for todays viral moments. Back in March, for example, a Reddit user shared an AI-generated video of Will Smith eating spaghetti on the r/StableDiffusion subreddit. It quickly spread on social media as well as the mainstream press, with one article saying the video would haunt you for the rest of your life.

Hollywood has come nearly to a halt in recent weeks, with SAG-AFTRA actors and writers currently on strike and expressing particular concerns about the impact of gen AI on their industry and jobs. The Barbenheimer trailer is a perfect example: Who needs the pricey services of Margot Robbie and Matt Damon if you can come up with a serviceable AI copy? Why use the time-consuming work of artists or editors when you have the speedy output of Midjourney and Runway Gen 2?

At the same time, AI-focused creatives who are excited by the possibilities of gen AI are going full-steam ahead even as regulators and policy-makers sprint to catch up. The Senate will be schooled in AI this fall with an eye towards a foundation for developing regulations in 2024. Will that be too little, too late?

The AI-generated Barbenheimer trailer is, in my opinion, funny and adorable. But the idea that you could wrap one of historys most horrifying periods the development of the atomic bomb during World War II, which led to the death of hundreds of thousands at Hiroshima and Nagasaki in 1945 in a candy-colored Barbie wrapper and a pink mushroom cloud is equal parts stunning and shocking.

Thats gen AI in a nutshell stunning and shocking, exciting and frightening, dazzling and appalling, sometimes all at once. But certainly, all stakeholders involved in AI development need to consider not just the sugary surface of what gen AI can do, but the deep, real issues that lay underneath.

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What the viral AI-generated 'Barbenheimer' trailer says about ... - VentureBeat

TAIPEI, July 25 (Reuters) - Driven by a surge in demand for artificial intelligence, Taiwanese chip maker TSMC (2330.TW) plans to invest nearly T$90 billion ($2.87 billion) in an advanced packaging facility in northern Taiwan, the company said on Tuesday.

"To meet market needs, TSMC is planning to establish an advanced packaging fab in the Tongluo Science Park," the company said in a statement.

CEO C.C. Wei said last week that TSMC is unable to fulfil customer demand driven by the AI boom and plans to roughly double its capacity for advanced packaging - which involves placing multiple chips into a single device, lowering the added cost of more powerful computing.

For advanced packaging, especially TSMC's chip on wafer on substrate (CoWoS), capacity is "very tight," Wei said after the company reported a 23% fall in second-quarter profit.

"We are increasing our capacity as quickly as possible. We expect this tightening will be released next year, probably towards the end of next year."

The world's largest contract chipmaker said TSMC's position as the leading manufacturer of AI chips - including for chip designers Nvidia Corp (NVDA.O) and Advanced Micro Devices (AMD.O) - has not offset broader end market weakness as the global economy recovers more slowly than it had expected.

The Tongluo Science Park administration has officially approved TSMC's application to lease land, the company said, adding the new plant in the northern county of Miaoli would create about 1500 jobs.

Even as the leading Apple (AAPL.O) supplier ramps up its expansion abroad, it plans to keep its most advanced chip technology in Taiwan, a global powerhouse in manufacturing semiconductors that power everything from smartphones to electric vehicles.

($1 = 31.3230 Taiwan dollars)

Reporting by Sarah Wu and Yimou Lee; Editing by Kim Coghill and Jamie Freed

Our Standards: The Thomson Reuters Trust Principles.

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Driven by AI boom, TSMC to invest $2.9 billion in advanced chip ... - Reuters

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Transformers: the Google scientists who pioneered an AI revolution - Financial Times

Inside a cavernous room this week in a one-story building in Santa Clara, Calif., six-and-a-half-foot-tall machines whirred behind white cabinets. The machines made up a new supercomputer that had become operational just last month.

The supercomputer, which was unveiled on Thursday by Cerebras, a Silicon Valley start-up, was built with the companys specialized chips, which are designed to power artificial intelligence products. The chips stand out for their size like that of a dinner plate, or 56 times as large as a chip commonly used for A.I. Each Cerebras chip packs the computing power of hundreds of traditional chips.

Cerebras said it had built the supercomputer for G42, an A.I. company. G42 said it planned to use the supercomputer to create and power A.I. products for the Middle East.

What were showing here is that there is an opportunity to build a very large, dedicated A.I. supercomputer, said Andrew Feldman, the chief executive of Cerebras. He added that his start-up wanted to show the world that this work can be done faster, it can be done with less energy, it can be done for lower cost.

Demand for computing power and A.I. chips has skyrocketed this year, fueled by a worldwide A.I. boom. Tech giants such as Microsoft, Meta and Google, as well as myriad start-ups, have rushed to roll out A.I. products in recent months after the A.I.-powered ChatGPT chatbot went viral for the eerily humanlike prose it could generate.

But making A.I. products typically requires significant amounts of computing power and specialized chips, leading to a ferocious hunt for more of those technologies. In May, Nvidia, the leading maker of chips used to power A.I. systems, said appetite for its products known as graphics processing units, or GPUs was so strong that its quarterly sales would be more than 50 percent above Wall Street estimates. The forecast sent Nvidias market value soaring above $1 trillion.

For the first time, were seeing a huge jump in the computer requirements because of A.I. technologies, said Ronen Dar, a founder of Run:AI, a start-up in Tel Aviv that helps companies develop A.I. models. That has created a huge demand for specialized chips, he added, and companies have rushed to secure access to them.

To get their hands on enough A.I. chips, some of the biggest tech companies including Google, Amazon, Advanced Micro Devices and Intel have developed their own alternatives. Start-ups such as Cerebras, Graphcore, Groq and SambaNova have also joined the race, aiming to break into the market that Nvidia has dominated.

Chips are set to play such a key role in A.I. that they could change the balance of power among tech companies and even nations. The Biden administration, for one, has recently weighed restrictions on the sale of A.I. chips to China, with some American officials saying Chinas A.I. abilities could pose a national security threat to the United States by enhancing Beijings military and security apparatus.

A.I. supercomputers have been built before, including by Nvidia. But its rare for start-ups to create them.

Cerebras, which is based in Sunnyvale, Calif., was founded in 2016 by Mr. Feldman and four other engineers, with the goal of building hardware that speeds up A.I. development. Over the years, the company has raised $740 million, including from Sam Altman, who leads the A.I. lab OpenAI, and venture capital firms such as Benchmark. Cerebras is valued at $4.1 billion.

Because the chips that are typically used to power A.I. are small often the size of a postage stamp it takes hundreds or even thousands of them to process a complicated A.I. model. In 2019, Cerebras took the wraps off what it claimed was the largest computer chip ever built, and Mr. Feldman has said its chips can train A.I. systems between 100 and 1,000 times as fast as existing hardware.

G42, the Abu Dhabi company, started working with Cerebras in 2021. It used a Cerebras system in April to train an Arabic version of ChatGPT.

In May, G42 asked Cerebras to build a network of supercomputers in different parts of the world. Talal Al Kaissi, the chief executive of G42 Cloud, a subsidiary of G42, said the cutting-edge technology would allow his company to make chatbots and to use A.I. to analyze genomic and preventive care data.

But the demand for GPUs was so high that it was hard to obtain enough to build a supercomputer. Cerebrass technology was both available and cost-effective, Mr. Al Kaissi said. So Cerebras used its chips to build the supercomputer for G42 in just 10 days, Mr. Feldman said.

The time scale was reduced tremendously, Mr. Al Kaissi said.

Over the next year, Cerebras said, it plans to build two more supercomputers for G42 one in Texas and one in North Carolina and, after that, six more distributed across the world. It is calling this network Condor Galaxy.

Start-ups are nonetheless likely to find it difficult to compete against Nvidia, said Chris Manning, a computer scientist at Stanford whose research focuses on A.I. Thats because people who build A.I. models are accustomed to using software that works on Nvidias A.I. chips, he said.

Other start-ups have also tried entering the A.I. chips market, yet many have effectively failed, Dr. Manning said.

But Mr. Feldman said he was hopeful. Many A.I. businesses do not want to be locked in only with Nvidia, he said, and there is global demand for other powerful chips like those from Cerebras.

We hope this moves A.I. forward, he said.

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An A.I. Supercomputer Whirs to Life, Powered by Giant Computer ... - The New York Times