Although AI writers are helpful and can generate quality copy and ideas, they\u2019re not an outright substitute for human writers. This technology is still in its infancy, meaning it\u2019s nowhere near as good as a real professional who undertakes Content Writing<\/a> services. That said, many utilize AI writing tools to assist their work (not do it all for them), leading to greater and faster productivity, ideation, and optimization.<\/p>\n AI writing software generates content output based on what the user puts into its parameters. For example, most tools will let users input keywords, title ideas, and headings, after which the program will create content based on those points.<\/p>\n Some AI writing tools suggest titles, keywords, headings, and an overall content outline, making that initial idea generation much faster and easier. Pretty neat, right? As cool as this all is, how exactly does it work under the hood?<\/p>\n AI writing tools are \u201ctrained\u201d using data in various formats. Over time they \u201clearn\u201d this data, which enables them to improve their writing and ideation skills. As time goes by, they become talented in producing well-informed, natural-sounding text that\u2019s more human-like than ever. That latter quality stems from the fact that the data these AI tools analyze to \u201clearn\u201d comes from humans.<\/p>\n When it\u2019s time for an AI writer to produce content, they conduct \u201cresearch\u201d on the given topic \u2013 as a human writer would. To do this, they scour existing content on the internet and collect data based on the user\u2019s input. Using the acquired data, the AI writer processes it to produce brand-new content.<\/p>\n This entire task would be a fairly lengthy process for a human. However, the beauty of an AI writer is that it carries out all its research, data compiling and processing, and content writing in seconds. How amazing is that?<\/p>\n This is clear: AI brains can do a lot for content writing, so the surge in popularity and widespread use is a no-brainer. In fact, according to Salesforce Research\u2019s State of Marketing Study<\/a>, 84% of marketers claimed to use AI in 2020 compared to just 29% in 2018 \u2013 a figure that shows a whopping 186% increase in only 2 years.<\/p>\n With those staggering statistics in mind, what can AI content writers offer users? Here\u2019s a summary:<\/p>\n The list above briefly mentions a few benefits of AI writing tools \u2013 but let\u2019s get into the finer details: the main pros<\/em> and cons.<\/p>\n Starting on a positive note, here are some of the top benefits of AI content software:<\/p>\n AI content is generated at non-human-like speeds \u2013 far faster than anyone could ever write. Think about it: all that ideation, research, and writing might take a human writer anything from 30 minutes to 3 hours. An AI writer fulfils this task in a few seconds. This efficiency can lead to increased scalability.<\/p>\n Other advantages stemming from this efficiency and scalability include:<\/p>\n AI writing tools are cost-effective. Typically, paying quality human writers commands quality payment. Some copywriters charge anything from $10 to $25 per 500 words, while others charge several hundred dollars for 1 written piece. Of course, writer compensation depends on word counts, the number of articles, experience, and any specialist knowledge, credentials, and qualifications needed to write the content. The price is usually worth it; human writers can create high-ranking, well-researched content on a given topic.<\/p>\n In contrast, AI writing tools are significantly cheaper; they often entail a monthly subscription with restraints on keywords, word counts, and articles generated within the billing period. Prices vary, as do their service types; generally, users can expect to pay $100 to $200 a month for tens or even hundreds of thousands of words. Although, sometimes there are no restrictions for higher-priced unlimited services. Pricing on the lower end (under $20) is also available but offers fewer services and benefits. Given the cost-effectiveness, AI writing tools can be beneficial for creating generic, simple content that doesn\u2019t require too much specialist knowledge.<\/p>\n Every writer experiences the dreaded writer\u2019s block at some point. This is especially common when their task is to create knowledgeable, authoritative content on subjects they don\u2019t know much about. If they\u2019re not an expert, they\u2019ll need to spend hours researching and generating ideas for said topic. That\u2019s where AI tools save the day.<\/p>\n AI writing tools can develop detailed content outlines, key points, and other important aspects for a topic, which is handy for writers who aren\u2019t qualified in the given subject.<\/p>\n The misuse of facts and statistics, along with the often robotic flow of the content, are 2 primary quality concerns of AI writers. As mentioned, they rely on data analysis and algorithms to write content. Since they use existing content as a base, they\u2019re not immune to unintentional repetition, and the tone can sometimes come across as unhuman-like.<\/p>\n Additionally, AI writers can\u2019t fact-check \u2013 this is one of the current biggest concerns. Therefore, humans must check, proof, and edit facts and stats, which requires time and money. While the AI brain is impressive, it\u2019s still a robot at the end of the day.<\/p>\n Again, AI writing tools learn from pre-existing content across the web. Many also scrape content from other websites before re-wording them to make an \u201coriginal\u201d piece. That goes against\u202fGoogle\u2019s guidelines on auto-generated content<\/a>. The search engine giant states that \u201cstitching or combining content from different web pages without adding sufficient value\u201d is a big no-no.<\/p>\n Google\u2019s Helpful Content Update<\/a> began rolling out in August 2022, with a second update in December of the same year. This significant change means the search engine\u2019s robots now aim to make the user search and content consumption experience more \u201chelpful.\u201d Google wants to see and will reward \u201coriginal, helpful content written by people, for people, in search results.\u201d In the same breath, it recommends that people \u201cavoid creating content for search engines first.\u201d<\/p>\n Plenty of AI-writing tools\u2019 algorithms analyze search engine results without a user-first approach. When scouring the web, they don\u2019t fully understand what the searcher is looking for \u2013 that\u2019s something only a human can do. Bluntly, AI isn\u2019t a user-first solution. Since Google likes human-written, helpful content, it might penalize pages and websites containing content it deems to be \u201cauto-generated.\u201d<\/p>\n According to Google\u2019s quality rater guidelines, it ranks content for\u202fexpertise, authoritativeness, and trustworthiness\u202f(E-A-T). Sadly, AI content often suffers from a lack of E-A-T, thereby harming its chances of earning high spots on the search engine results pages.<\/p>\n Today, people are skeptical of online content in the age of misinformation and fake news. A way to garner reader trust is to show off expertise, qualifications, and years of experience in the subject. The only problem is this: AI can\u2019t offer these qualities \u2013 only real-life human writers can. That\u2019s why the public and quality raters may struggle to trust AI-generated content.<\/p>\n Despite this concern, here\u2019s some food for thought: the Click Intelligence team attended the BrightonSEO event in October 2022, where they watched a fascinating presentation on AI content from Mat Bennett<\/a>\u00a0\u2013 an Agency Advisor with decades of experience in running digital agencies. His talk, titled \u201cCan you trust AI with your content\u201d<\/a>, revealed some astonishing (and promising) results.<\/p>\n Bennett compared AI-written articles with human-written ones (from specialist and non-specialist writers), asking the public to score each based on engagement, knowledge, and trust. Amazingly, the discrepancies between AI and human content were overwhelmingly minimal; both appeared to rank similarly under these categories. Could this data suggest that AI is getting rather good? Only time will tell.<\/p>\n Creativity and originality make content interesting, engaging, and shareable \u2013 very human qualities that only humans can inject into a piece. AI doesn\u2019t have the same emotional intelligence as people nor the ability to comprehend nuances across languages, leaving much to be desired from its talents in these areas.<\/p>\n Furthermore, remember that AI writing tools rely on already-published content and data. Coupled with their lack of nuance and creativity, this reliance renders them incapable of understanding users\u2019 search intent. Because of this, their use isn\u2019t always ideal for long-term content goals and evergreen strategies.<\/p>\n AI content goes against Google\u2019s Webmaster Guidelines \u2013 that\u2019s no secret. In Search Engine Journal\u2019s post on AI-generated content<\/a>, Google\u2019s Webmaster Trends Analyst, John Mueller, said that content written by AI is considered spam (as per Google\u2019s spam policies<\/a>) and Google\u2019s algorithms could hand out manual penalties for its use.<\/p>\n Can the search engine identify AI content?Mueller doesn\u2019t make any distinct claims when asked if Google can automatically detect and understand the difference between content written by machine learning tools and humans. What he did claim, though, is that Google\u2019s webspam team is authorized to take action if they spot auto-generated content.<\/p>\n While the disadvantages of AI content writing are a problem (and Google\u2019s keeping a close watch on its misuse), the technology is still a baby; it\u2019s likely to improve in the coming years. For now, though, the many benefits of AI writing tools are tempting and could serve users well on the proviso that they utilize them wisely.<\/p>\n If you\u2019re among the people looking to try AI content generator software online, you\u2019re in luck; they\u2019re plentiful. They\u2019re not all made equal, however. Out of all the long-form and short-form AI content writing tools, the following come highly rated in terms of quality, features, human likeness, SEO-friendliness, user-friendliness, and price tag.<\/p>\n Reasons to try Writesonic<\/a>:<\/p>\n Reasons to try Jasper<\/a>:<\/p>\n Reasons to try GetGenie<\/a>:<\/p>\n Reasons to try Rytr:<\/a><\/p>\nHow Do AI Writing Tools Actually Work?<\/h2>\n
![\"Artificial](\"https:\/\/www.staging-uk.clickintelligence.com\/wp-content\/uploads\/2023\/01\/AI-Chat-example-4-300x132.png\")
<\/p>\nWhy Are AI Writing Tools Popular?<\/h2>\n
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What Are The Pros and Cons of AI Content Writing Tools?<\/h2>\n
The Pros of AI Writing Tools<\/h3>\n
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1. Efficiency and Scalability<\/strong><\/h4>\n\n
2. Cost<\/strong><\/h4>\n 3. Idea Generation, Writing Content Without Expertise, and Writer\u2019s Block<\/strong><\/h4>\nThe Cons of AI Writing Tools<\/h3>\n
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1. Quality<\/strong><\/h4>\n 2. Plagiarism<\/strong><\/h4>\n 3. Google Algorithm Penalties<\/strong><\/h4>\n 4. E-A-T Concerns<\/strong><\/h4>\n 5. Missing Nuance<\/strong><\/h4>\nAI Content \u2013 What Does Google Say?<\/h2>\n
![\"Google](\"https:\/\/www.staging-uk.clickintelligence.com\/wp-content\/uploads\/2023\/01\/Google-Spam-content-300x257.jpeg\")
<\/p>\nWhich AI Content Creation Tools to Try?<\/h2>\n
Writesonic<\/h3>\n
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2. Jasper<\/h3>\n
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3. GetGenie<\/h3>\n
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4. Rytr<\/h3>\n