The Ultimate Guide to Conversational AI in 2022
AI has been evolving over the years and is becoming more valuable by the day. As a result, plenty of businesses are now investing in AI.
AI is being used by businesses to improve customer experience as well as the employees working at the company. Not only does AI cut down the amount of time it takes a customer to get help, especially when it is something that can quickly be sorted by an AI, like a booking change or cancellation, but AI can also save your employees valuable time that can be spent on other tasks.
By 2026, the conversational AI market is expected to reach 18.6 billion dollars. Not just is it rapidly growing, but more than half of companies believe that conversational AI is disrupting industries and believe that their competitors will most likely implement such technology.
As you can see, conversational AI is becoming a crucial part of many businesses marketing strategies and customer service.
Getting the hang of conversational AI and implementing it in your business is essential, which is why today we’ll be looking at the ultimate guide to conversational AI in 2022.
What is Conversational AI
Conversational AI is like the upgraded version of a simple chatbot. It’s used to send automated messages and have conversations between computers and humans. It’s still a chatbot but can have a more human-like conversation.
They can communicate like a human by understanding the intent of sentences and then replying in a text that imitates that of a human. The idea is to use these conversational chatbots to engage with customers and make them feel like they’re talking to a real human.
This allows them to feel more important and that their experience is personalized.
A chatbot is also faster and can deal with smaller issues that might take a human longer to respond to and fix.
Chatbots: Who invented them?
ELIZA was the first chatbot recorded in the history of computer science in 1994. It was made by Joseph Weizenbaum at MIT. It was here that the term “Chatterbox” was created.
ELIZA worked by recognizing keywords or phrases from the input and then used those keywords to send a pre-programmed response back. Obviously, this means that ELIZA wasn’t very personalized and would often give the same reaction to different phrases or sentences.
For example, if you mention your family, like, “My father is a fisherman,” ELIZA would reply, “tell me more about your father.”
ELIZA recognizes the word “father” and has an automated response linked to that word. So anytime the word “father” or “dad” is written, it will offer the same answer.
Tell me the difference between conversational AI and a traditional chatbot.
It’s easy to confuse conversational Ai with an average chatbot, but there are enough differences to separate them from each other.
Conversational AI is at the core of what makes chatbots and virtual assistants tick.
Conversational AI uses machine learning to allow it to analyze and comprehend what humans are writing. From there, it can generate a response that correlates to the user’s writing.
Chatbots can use conversational AI, but there is plenty that doesn’t. For example, basic chatbots usually use pre-determined responses or are programmed with rules instead of an AI deciding what to answer.
Conversational AI isn’t rule-based and chooses how to respond according to the context and intent of the user’s response.
A recent study suggests that by 2030 the conversational AI market will reach 32 billion dollars. It’s currently being invested in by plenty of companies with no end.
How does conversational AI work?
Conversational AI uses a platform of structures that can send individual outputs depending on the input.
Using machine learning, conversational AI can keep learning and widen its range of queries to which it can successfully answer or respond. This is because each time a user talks to the AI, it can examine the context and intent of the user’s response, thus learning new questions that might need the same answer.
It might seem simple initially, but machine learning is much more complicated than questions and responses. Therefore, having the right AI structure is crucial.
Here are some of the primary components that make up the natural language processing of conversational AI.
- Machine Learning (ML). Machine learning is part of AI built around algorithms and data sets constantly developing and improving. These algorithms learn from previous messages with humans, learning what a human’s response is to specific questions and answers and what the correct response is to the human response.
- Natural Language Processing (NLP). This is a method of language learning that works together with machine learning. It’s currently being used, but with deep learning around the corner, most conversational AI will switch to deep learning to help AI understand the language better.
- Analyzing Received Input. This is the part where AI analyzes the text sent in by the user and scans to figure out the context and intent of the message.
- Dialogue Management: After NLP is done and the input has been analyzed, the AI needs to reply with an appropriate response. Dialogue management is where the AI decides which answer is best suited to send to the user, using the previous processes to choose the response.
- Reinforcement Learning: Lastly, the user’s and the AI’s response is stored. Then, machine learning analyzes the input and output and whether they match correctly. From there, machine learning can check whether the user’s intent and the AI’s answer matched and better learn to answer the following similar input.
What is conversational AI used for?
Most people have encountered some form of conversational AI before and might not even have known they were talking to AI instead of an actual human. Some chatbots are easy to spot, but some aren’t.
There are plenty of uses for conversational AI. For example, if you’ve ever spoken to customer service using a messenger on their website, there is a high chance that it was a chatbot. It’s regularly used for customer service at this point since FAQs are easily programmed as responses for the chatbot, as well as managing bookings, schedules, and cancellations.
IT desk service
Conversational AI can also be used for IT desk service, helping with basic IT queries and fixes. Instead of keeping IT personnel busy all day with simple fixes, chatbots can help people who might have simple fixes and solutions. Chatbots can still send users through to a real person if the problem cannot be fixed.
Conversational AI can also be used to advertise and sell products. These bots can be set up to offer promotions or just sales and send them to a target audience. If you have a well-set-up chatbot, it should be able to address the person by their name and possibly know some basic information about them.
These bots can get users to sign up for subscriptions or down the funnel toward your product page.
Many businesses forget that conversational AI can be used to collect data.
With countless interactions a day, your conversational AI program should be able to store all the information gathered throughout the day and offered specific analytics about the day’s activities and messages.
- Record all messages and customer calls.
- Make all conversations searchable, so you can identify issues customers might be having.
- Track specific keywords related to issues on all calls and messages and look for customer replies.
- Collect essential data like call times, how many daily responses, and the outcomes of the reactions for the day.
Conversational AI examples across industries
Conversational AI is used across plenty of different industries for different uses. Here are three examples of conversational AI used in various industries.
SmarAction is scheduling automation software with built-in conversational AI that can understand queries about bookings, which we all know can be more complicated than just giving a date and time and booking it.
This AI excels at understanding natural language and can handle any scheduling issues or requests a user might have.
IBM created Watson Assistant, and who better create a conversational AI that can take care of customers’ transactions?
This AI assistant can work in many industries, including fashion and healthcare.
It’s able to answer simple questions, execute transactions, and contact agents when the need is there.
A study showed that companies using Watson Assistant could reduce handle time by 10%, improving customer satisfaction.
Cognigy is an excellent conversational AI tool that allows for efficient customer service 24 hours a day.
Cognigy is best used for customer service, optimizing the time it takes for a customer with queries to get the necessary answers.
Plenty of airlines use this software. This became especially the case after Covid when airlines had to deal with numerous customer service-related issues due to cancellations and refunds. Here, AI like Cognigy can be utilized to reschedule or refund customers that qualify without contacting a customer service representative.
If you’re looking for more conversational AI tools, look at this list of the best conversational AI tools.
With plenty of uses for conversational AI, it’s no wonder it’s been slowly taking over specific business sectors. Of course, it’s not to say that you’d never need to speak to a real person, but with simple tasks, conversational AI can speed things up when real humans are too busy with other, more important things.
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Alternatives to Layoffs in Tech: Maintaining a Stable Workforce
The tech industry is volatile and subject to the whims of the market. With the recession that’s predicted to hit the global economy in late 2023, companies everywhere, from small startups to major enterprises, are already taking countermeasures to combat it. Ironically, the most commonly employed countermeasure is large-scale layoffs.
Just recently, Microsoft announced 10,000 job cuts, impacting nearly 5% of its global workforce, as part of “workforce reduction” measures the company is taking. This was soon followed by a similar announcement from Google’s parent company, Alphabet. CEO Sundar Pichai commented on the downsizing, saying the company had “hired for a different economic reality” than what it’s up against today.
During times of economic hardship, it is important for companies to maintain a stable, employed workforce. This is why many businesses are searching for alternatives to layoffs as a method to get through these challenging times. Let’s explore what some of these potential alternatives could be.
A substitute for layoffs is to recruit fewer people each month in the first place. Companies might limit the pace of new recruits and concentrate on keeping their present employees. This is one of the factors that they can adapt to rather than reduce their current staff.
During the height of the pandemic, companies like Amazon, Meta, and Microsoft hired and grew their employee base significantly. In contrast, Apple hired at a more modest rate compared to its peers, adding only 17,000 new recruits between 2020 and 2022. Now that uncertain times are ahead, and we see the consequences of overhiring in the form of mass layoffs. On the other hand, Apple has avoided using layoffs as a tool to deal with these dire circumstances.
The implementation of a hiring freeze is an additional alternative to laying off present employees. This entails putting a temporary stop to all new hiring until the business’s financial situation improves. By doing so, companies can cut expenditures while maintaining the current staff.
Another reason why Apple is not laying off its employees like its counterparts — is that it implemented a hiring freeze in November 2022 to prepare for the turbulent times that are ahead. There’s no news on when the freeze will be lifted, with sources even saying that it could go on until September 2023.
Reducing Working Hours
Reducing the number of hours a worker works each week is one such option that can prove to be beneficial. This enables businesses to maintain their personnel while also cutting expenditures. Employees who are able to keep their jobs but with fewer hours worked may also benefit from it, freeing up more time for other activities.
Reducing hours, not workers, is the right for forward-looking business leaders to institute today. 73 companies in the UK ran an experiment with a four-day workweek. The results showed that managers and employees generally described being more or equally productive in a shortened week. A shorter work week gives employees more time to spend with their friends and family and also focuses on any hobbies or part-time ventures that they wish to cultivate.
Voluntary Separation or Leave
Offering voluntary unpaid leave is another substitute for permanently laying off workers. Although this reduces the number of employees, it also gives them the option to return to their positions later. This is advantageous for the employer and employee because it lets workers take a short break while businesses save money.
Alternatively, companies can also implement a voluntary separation program. This enables employees to willingly leave the organization in exchange for severance compensation. This may be a successful strategy for reducing the workforce while still treating the impacted workers with fairness and compassion. Coca-Cola offered voluntary separation packages to 4000 employees in North America, and it included some major incentives like at least a year’s pay plus a 20% bump.
Focusing on Employee Retention
The most optimal way to avoid layoffs is to reduce employee turnover. High turnover can lead to a constant need to fill available positions, which can be costly and time-consuming. Businesses can decrease the number of unfilled positions and the need to hire and train new employees by putting more emphasis on employee retention and taking measures to improve it. Employers can concentrate on keeping their present staff members by offering them competitive wage packages, flexible work schedules, and opportunities for career advancement.
When to layoff employees?
It’s crucial to remember that laying off employees should only be used as a last resort. Additionally, when layoffs are unavoidable, the business should manage the situation with transparency and empathy. It’s vital to avoid doing bad layoffs or for the wrong reasons. The recent Twitter layoffs are a prime example of a bad layoff, with employees either being informed by email that they have been laid off or finding out after discovering that they have been locked out of their work laptops or communication channels.
Layoffs are not always the best option and can often be detrimental to the organization as a whole. Companies can keep a steady workforce while still controlling expenses and adapting to market changes by thinking about possible alternatives to layoffs. Employers should be aware of their options and carefully consider them while putting the interests of their staff first.
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4 Software Tools Solopreneurs Need in 2023
Solopreneurs may be the pluckiest type of entrepreneur there is. They decide to bring their business idea to life on their own without the assistance of a team. Solopreneurs can start their companies as side hustles to develop additional career interests. Or they may go all in, hoping to reap the rewards of flexibility and autonomy.
While complete control can be a huge benefit of solopreneurship, it’s not a walk in the park. Since owners tackle everything alone, finding ways to streamline all the to-dos becomes paramount. Without essential software tools, tasks may pile up because they’re too challenging or time-consuming to complete alone. Below we’ll dive into four tools solopreneurs can use to make their jobs easier.
1. Legal Document Management Apps
Every business sells something. It could be intangible, such as bookkeeping services. Perhaps it’s something more physical, like a commissioned work of art. Or it’s a mixture where someone receives a finished product, but services like web development are a part of it.
In each case, a solopreneur has something to offer clients. But managing these relationships usually involves legal agreements, including contracts. Without them, it’s hard to hold either party accountable. Contracts spell out expectations for performance and payment, giving each side some protection and recourse.
The problem is that not many solopreneurs have a background in contract law. In addition, organizing all the paperwork associated with binding agreements can get messy. Most will find it easier to use a contract management platform to handle this side of the business. With the right app, the processes behind creating and signing contracts become more efficient. Owners can automate repetitive tasks, secure e-signatures, and gain cloud storage space.
2. Invoicing Software
Solopreneurship doesn’t eliminate the need for invoice management. Whether a business is a large enterprise or a one-person endeavor, it depends on the exchange of money. Funds flow out to vendors and other companies for supplies. More importantly, revenues come in from those purchasing what the business sells.
Money can exchange hands at the point of sale, but many solopreneurs offer services. With this type of business model, revenue usually comes in after the fact. A graphic designer may perform recurring work for six different clients. However, the designer won’t receive payment until each client approves the agreed-upon deliverables. This setup requires invoicing, which can become tedious for any business owner.
It’s even more cumbersome for solopreneurs, who must juggle projects and chase down payments at the same time. A report from the Independent Economy Council found getting paid is one of the top challenges for freelancers. An astonishing 74% of gig workers say they’re not receiving on-time payments. Unbelievably, 59% say they’re still waiting for $50,000 or more.
Yet 38% are still creating invoices from scratch using word processing tools, and such invoices must be tracked manually as well. Invoicing software saves solopreneurs from having to do this. They can reuse templates, track when invoices go out, and determine which payments are late. Invoicing apps streamline the process of following up with late or missed payments and signal the need for tough client conversations. Also, these software tools automatically make deposits into bank accounts and simplify income tax preparation.
3. Task Organizers
Making to-do lists takes time away from doing the work. Even so, it’s a necessary step in the planning process. Solopreneurs who devote their attention to every aspect of running a business will find it difficult to succeed without organization. Spreadsheets and word processing programs might seem like a convenient solution. But these software tools are often too simplistic to meet the needs of a busy owner handling it all.
Project management solutions are great for larger companies because they keep teams in collaboration mode. A business with one person may find project management apps too complex. After all, they’re the only ones tracking tasks, creating timelines, and delivering outcomes. Solutions that organize to-do lists are usually a better fit.
These apps let solopreneurs initiate tasks, categorize outstanding items, and establish priorities. They can see what’s on their plate each day before it begins. If a deadline needs reprioritizing, it’s not too difficult to rearrange. A business owner can immediately see how a shift in priorities will impact the rest of their scheduled responsibilities. Furthermore, task organizers will send reminders of critical deadlines so nothing gets missed.
4. Social Media Tools
Statistical research shows 33% of marketers spend between one and five hours weekly on social media. While this represents the majority, about 23% dedicate six to 10 hours weekly to social media marketing. This time may seem like a drop in the bucket for larger companies, but it can be more significant to solopreneurs.
Sole business operators aren’t relying on the talents of a social media manager to post for them. Marketing, including social media posts, is something they must plan as part of their day. Simultaneously, social media may become like a rabbit hole they can’t escape. A solopreneur’s productivity can take a nosedive if they get too caught up in posting content.
Fortunately, there are apps that can automate posts for owners who want to avoid distraction. Solopreneurs can still engage with their customer base while getting back a portion of their time. Social media software tools let them automatically schedule posts for each week. If business owners have a long-range content calendar, these platforms can execute it. Sudden changes aren’t a problem, as it’s possible to cancel or modify automated posts.
What Solopreneurs Need
Operating a business is daunting enough for owners who have teams to rely on. Those who do it by themselves are, without a doubt, a different breed. They’re not afraid to face challenges, knowing they can learn to handle whatever comes their way. But it doesn’t mean solopreneurs can’t gain advantages from adding specific software to their toolkits. Apps that make everyday processes less of a chore can also make running a solo venture less overwhelming.
Featured Image Credit: by Judit Peter; Pexels; Thanks!
Why the Rise of AI-Generated Content Will Make Link Building Even More Important
Artificial intelligence (AI) has been around for decades, but the release of sophisticated tools like ChatGPT is pushing AI-generated content into the mainstream. Marketers are both curious and nervous — understandably — about what this means for the future of marketing and SEO.
With SEO, the biggest question is how AI-generated content will be ranked in Google, whether it will be penalized, and what this low barrier to entry means for the wealth of content that already exists on the internet.
Some of this remains to be seen, but one thing is certain – high-quality content matters more than ever. And that includes link-building for authority.
The Rise of AI Content
AI isn’t a single technology but a collection of technologies that mimic human decision-making and capabilities. It includes machine learning (ML), natural language processing (NLP), rules-based systems, and other similar technologies.
These technologies can understand data and continually learn and improve their processes without specific programming, which is what makes them so valuable and adaptable to many different industries.
AI-generated content is a new development that can streamline content creation with automation. The key is that it can enhance the process, however, not replace it.
What Is AI Content Writing?
AI writing tools, such as the popular ChatGPT, use artificial intelligence to generate content. These tools draw on database resources to respond to queries. There are many possible applications for these tools, as highlighted by ChatGPT itself:
According to OpenAI, the AI company that launched ChatGPT, the tool “sometimes writes plausible-sounding but incorrect or nonsensical answers.” There are several reasons for this, but it’s mainly because the model can be misled by what it knows, not what the trainer knows.
It’s important to remember that AI tools are:
- Not designed for SEO or content marketing
- Not designed to be a link-building tool
- Trained on old data, leading to wrong or outdated information
SEOs need to consider how AI writing tools can enhance content or make the process more efficient. Still, it’s important to understand the possible risks to rankings – and organic traffic – when using AI content.
With several competitors in production — and continuous potential to grow and learn, AI writing tools are likely here to stay. They can be useful, but those who misuse these tools may see problems with SEO.
AI Content and Google
Google is preparing to launch its own AI writing tool, yet the company has spoken out about AI-generated content being spam and against webmaster guidelines.
Recently, Google has been changing its stance to clarify that not all AI content is bad, but content that’s designed specifically to manipulate search ranking is. The official stance is that content created primarily for search engine rankings is against guidelines — because content must be created for people first.
This isn’t a surprise, given that Google has always been interested in providing the best experience for the user, first and foremost.
According to Google’s spam policies, spammy content is content that is “generated programmatically without producing anything original or adding sufficient value. Examples include:
- Text that makes no sense to the reader but contains search keywords
- Text translated by an automated tool without human review or curation before publishing
- Text generated through automated processes without regard for quality or user experience
- Text generated using automated synonymizing, paraphrasing, or obfuscation techniques
- Text generated from scraping feeds or search results
- Stitching or combining content from different web pages without adding sufficient value.
So, whether AI or simply high-volume, low-quality content, the story is the same – Google wants content that’s relevant and valuable to the user.
How Are Businesses Using AI for Content Marketing?
AI writing assistants and tools are nothing new in content marketing and SEO. Tools like Clearscope and Jasper AI are available for content creators, SEO specialists, and brands to enhance their processes. Some of the ways AI is being used for SEO include:
AI tools can be used to automate and analyze search intent and offer insights into relevant keywords to inform content strategy.
ML tools can identify weaknesses in websites to make improvements based on data, not opinion or supposition. This is not enough to replace an expert eye, but it can make the process more efficient and identify gaps.
Topics and Outlines
Creating content outlines and topic clusters can be time-consuming. AI tools help to identify trending topics and present content clusters that are relevant to the target audience, as well as quick outlines to make content creation faster.
Proofreading and Editing
There’s no substitute for human eye editing, but tools like Grammarly can identify errors, spot awkward phrases, and more. This is helpful to streamline the process and reduce the burden on the editorial team.
Coming up with new content ideas can be challenging, especially if you’re producing a lot of content each week. AI-generated content does have some issues with originality since it’s learning from other sources, but it can be helpful in inspiring ideas.
NLP is a big component of AI technology and voice search, which is growing in popularity. NLP tools are helpful for optimizing your website content for voice search to help voice-recognition technology find content more easily.
What’s the trend here? These are all ways that AI can enhance, amplify, or streamline content creation and SEO processes. There’s still a human at the helm, ensuring that the content is still valuable to human users.
What Are the Limitations of AI for Content Creation?
AI content can be helpful if it’s used correctly. Here’s why it’s not enough to plug queries into AI tools and generate content:
No E-A-T Value
As a marketer, you’re no doubt familiar with Google’s E-A-T (Expertise, Authoritativeness, Trustworthiness) guidelines. In December 2022, Google updated the quality rater guidelines with another E, which stands for experience.
Given the possible limitations in database knowledge and context, it’s easy to see why AI-generated content would fall short of E-A-T guidelines. Then, we have Your Money or Your Life (YMYL) pages, which cover topics that can significantly impact a person’s happiness, health, financial stability, or safety.
Google prioritizes high-quality information in these cases, even more than with other topics, since the wrong information can potentially harm a person’s health or wellbeing. In this case, combining E-A-T guidelines with YMYL topics using AI is a recipe for disaster.
Low-Quality Information or Inaccuracies
ChatGPT, one of the most popular AI writing tools, is not connected to the internet. It’s been trained using databases to generate answers. It’s also limited to information prior to 2021, missing out on any updates or discoveries that have occurred since.
Knowing that, it’s difficult to rely on that content as truth – especially with topics that are constantly evolving and changing. The tool can’t guarantee complete accuracy (and never claimed to), so it can’t be trusted to provide the most authoritative information.
In addition, some topics are nuanced and require human understanding and context. Even if the information is accurate, the content generated may be awkward or ambiguous because of this.
Poor Search Results
More AI-generated content has the potential to lower the overall content quality that appears on the search results pages. There’s already a risk of stumbling on incomplete or incorrect information, despite Google’s best efforts to prioritize quality.
On top of that, AI content is continuously learning, but it’s drawing upon its own sometimes-questionable content to do so. It’s essentially like the evolution of a rumor – the truth gets obfuscated a little more with each retelling.
Either the quality of the search results overall will plummet, or true quality content can gain a significant competitive edge.
More Low-Quality Content Saturation
Marketers have already been struggling with a barrage of low-quality content from sites with low authority – that problem is only worsened by AI content. Now, just about anyone can create content without the skills or knowledge to do so successfully and strategically.
The barrier to entry is not only lower, but there’s no critical thinking or experience involved. Anyone can plug “how to groom a golden retriever” or “how to day trade your way to early retirement” into an AI tool and spit out content in a matter of minutes, which will now be competing with thoughtful, well-crafted work from humans.
Does this mean that content creation and SEO efforts will become antiquated? Not necessarily. This is an opportunity for quality content and strategic SEO to come out ahead, with or without the use of AI content tools.
Why Does Link Building Matter More for SEO with AI-Generated Content?
Link building is an essential aspect of SEO. Users can follow links from one destination to another, and search engine crawlers follow links to discover pages and understand site hierarchy.
There are two types of links that matter for SEO: internal and external links. Internal links connect the pages on your site together, while external links (backlinks) are links that others put on their pages to direct users to your pages.
Link building refers to the process of getting backlinks from other websites. When you have a backlink from another page, some of its authority passes onto your page. Google considers it a valuable page, boosting its ranking.
Not all backlinks are created equal, however. Earning backlinks from authoritative sources boosts your content, but shady backlinking techniques have plagued the industry forever – which will now be worse with AI-generated content. Just like link farms and other low-quality linking shortcuts, AI content is proliferating link-building spam.
But Google is also using AI tools for link evaluation – specifically, filtering link spam.
How to Build SEO-Friendly Links to Combat the Rise of AI Content
AI-generated content is creating a buzz all around, with excitement from some and fear from others. We don’t need to fear the rise of AI content, however. As long as you take the right approach to build quality links with quality content, AI can be a blessing in disguise that allows you to stand out even more. Here’s how:
Create Valuable Evergreen Content
One of the benefits of AI content tools is that they’re faster than human writers. That leads to a lot of quick, topical content, but evergreen content? Most AI-driven content creators aren’t focusing on that.
Evergreen content is SEO optimized, continually relevant, and lasting. Lists, ultimate guides, instructional pieces and tutorials, and reference-type content on sustainable topics are great for SEO and naturally build high-quality links.
Guest blogging is a natural way to build links that won’t affect a spam filter. When you write an authoritative, high-quality (as in human-written) piece that’s submitted to a well-known blog or industry publication, you build thought leadership and authoritative content for others to link to.
If you choose to use AI tools to help with content creation, this is one area that should be human-written. The goal of guest blogging is thought leadership, so you risk both your SEO efforts and your reputation if you use a content tool to generate quick content with inaccuracies and no nuance.
Internal Link Building
Though AI content is creating more link spam, internal links are still valuable for rankings. Google can still discover and interpret the content on your website, and with relevant anchor text, you won’t trip a spam filter.
Fortunately, this is something you have control over. You can prioritize different pages on your site with internal linking to demonstrate that they’re high value, guide users to the content that’s most relevant to them, and establish relationships between content.
AI Is a Tool, Not a Replacement
AI writing tools can create more efficient processes for marketers. But just like any other technology, it’s an enhancement, not a replacement. Users who rely entirely on AI-generated content will not only miss out on the nuances of human-written content, but they won’t provide the same value.
Humans still need to be involved in the process, planning content, reviewing accuracy, and ensuring quality with authoritative links.
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