82% of marketers believe that AI-generated is just as good or better than human-generated content, according to Capterra’s 2022 AI Marketing Survey.
The feeling is mutual: creating content takes time (It’s not magic!) But consider this: a new tool that does all the heavy lifting, for those who trust it.
Are you lost for words? AI-generated content can help you write Instagram captions to landing pages and even fix your grammar, spelling or any errors in your text. Using pre-existing data, it generates texts through natural language processing (NLP) and natural language generation (NLG) to make sure the content matches the target desires and interests.
Who has done it?
Washington Post, Yahoo and Reuters are just a few examples of big news agencies using AI to create content faster, especially in the fast pace sports arena.
Using in-house robots, the Washington Post was awarded first place in the Global BIGGIES Awards, in the category of “Excellence in Use of Bots” for its use of eloquent words backed up by examples and explanations. The Post used a homegrown AI technology, Heliograf, to spit out coverage of the Rio Olympics back in 2017.
Yahoo! Sports uses NLG to power their fantasy American football draft. They are one of the largest professional fantasy providers in the world with millions of users each season. They turn to Automated Insights Wordsmith to transform fantasy football data into draft reports, match previews, match scores and match recaps.
Reuters along with UK AI startup, Synthesia, unveiled the first-ever automated presenter-led sports report. It works similar to deep fake videos, but combines with real-time data on football matches to report on sports news.
Political coverage is another example. In 2019, Guardian Australia published its first AI-assisted article, regardingannual political donations to Australia’s political parties.
AI = Artificial Intelligence refers to systems or machines that mimic human intelligence and actions as planning, memorizing, imagination, learning and solving
SEO: Search Engine Optimization is a technical and content process to improve website traffic
CTA: Call to action is a prompt that encourages audience or readers to do something
Backlinks : Backlinks are links from one website to a page on another website.
Pros of using AI Content Generator
#1 AI Content Generator helps with content search
Imagine being able to tap into your creative nerves on demand. Between researching and writing, a human writing can take about a day or two to complete a 1,000-word piece.
This is where the power of AI comes in handy. AI content generators runs on Generative Pre-trained Trained Transformer 3 (GPT-3) which uses deep learning to identify and extract themes or topics from the web.
For example, if you enter into HubSpot’s Blog Ideas Generator and search for “B2B Marketing”, ideas like B2B Marketing: Expectations vs Reality, The Next Big Thing in B2B Marketing, This Week’s Top Stories About B2B Marketing come up.
They are effective at beating your writer’s block, and crawl through the web to detect tropical topics people are discussing based on your prompts. It can also be a temperature parameter to see if the topic you have in mind has traction without just being an extraction tool.
#2 AI Content Generator helps boosts your SEO efforts
An AI SEO tool is a great tool for anyone trying to rank higher in search engines. The tool uses AI to filter through any errors or inconsistencies to give you a clear picture of how your website is performing against your competitors.
For instance, it makes recommendations whether you should switch out or update any outdated blogs.
Another neat feature of the AI SEO tool is its link-building capabilities. Link building is all about gaining backlinks to link pages on your own site. A website with more backlinks from well-established websites ups your chances to get more traffic Google, Yahoo and Bing.
Depending on your existing content, AI SEO tool can suggest high-quality internal links. It can also help you look through your competitor backlinks and recommend some action items to pair with.
#3 Put your campaigns to the test with split testing
Content marketing is a percentage game. Understandably, people get burned out by seeing the same images, same ads and styles change. This is why 70% of companies run A/B Testing twice a month.
A/B testing, also known as split testing, is a marketing experiment where you compare two versions of a website, ad, email, or landing page. For example, you might show half of your subscribers a newsletter which is a block of text and another, a video.
Content is King. But the problem is there are lots of ways to present them from written content to image to video content. You can’t always know which treatment a topic works best unless you have a reliable data analysis tool. This also helps reduce the bounce rate by highlighting the real cause of visitors leaving such as poor CTAs, layout or aptness.
Ready or not, the future of SEO is here and it’s just two words – artificial intelligence.
However, there are some drawbacks. An AI content generator might not produce AI texts that have the right tone or are totally unique as it is based on an algorithm alone. Manual polish is still needed even for the most advanced machine-generated texts.
There are also still areas of preferences as brand voice, tone or creativity that are difficult to model or programme into the algorithm. Only a human writer can help address those grey areas.
The Post, Associated Press and Bloomberg have their own internal alerts set up to see if there’s a bigger story to be picked up, according to New York Times Article. As AI steadily takes the jab at automating repetitive and mundane tasks as handling volumes of data, fundamentally it’s still going to be about human writers being enhanced by AI.
Let’s just hope they don’t start replicating personality or we’re all screwed.