Future Market Insights recently published a market research report on Global AI Tools Market for Content Automation. The study presents a detailed analysis of the historical data, current and future market scenario for the AI Content Automation Tools market.
The report presents an in-depth analysis of the main growth drivers and trends that are likely to impact the market in the coming years. With the adoption of cloud computing and artificial intelligence, the technology sector is expected to experience healthy growth during the forecast period. Growing competitive pressure and advanced digital transformation in the field of data analytics and artificial intelligence are expected to improve the growth prospects of the AI content automation tools market over the next decade.
According to the IMF report, changes in consumer behavior, robust product innovations and expansion of distribution networks continue to influence the growth of the content automation tools market. FMI analysts draw on unique research methods and comprehensive study of data on current and upcoming trends in the Content Automation Tools Market report and collect data from a wide range of primary and secondary sources.
Impact of COVID-19 on the Content Automation AI Tools Market
With the onset of COVID-19, the tech industry has had a significant impact. Disruptions in the electronic procurement and raw material supply chain have had a negative impact on the tech industry. However, the adoption of remote working has had a positive impact on the industry. The rapid focus on the integration of digital techniques and big data analytics in the IT services and technology sector should translate into good prospects.
The recently released IMF report contains a chapter devoted exclusively to the impact assessment of COVID-19. This is intended to help the AI Content Automation Tools market players deploy innovative strategies to overcome the challenges likely to affect the AI Content Automation Tools market.
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Key Questions Answered In The AI Content Automation Tools Market Report
How will the AI content automation tools market grow through 2031?
What are the major growth drivers and opportunities driving the growth of the market?
What are the recent technological developments in the content automation tools market?
What are the major competitive challenges and threats facing players in the Content Automation Tools market?
Which region is the most lucrative in the content automation tools market?
AI Tools for Content Automation Market: Competitive Analysis
The MFI Content Automation AI Tools market report provides a detailed analysis of the major players as well as emerging companies operating in the Content Automation AI Tools market. Some of the key players are:
Along with an in-depth SWOT analysis, the IMF study provides the strengths, weaknesses, growth prospects and product expansion within the players. The report also offers leading players with marketing strategies, recent mergers and acquisitions, and pricing strategy to gain competitive advantage in the industry.
AI Tools Market for Content Automation: Key Segmentation
By region
North America
Latin America
Western Europe
Eastern Europe
Asia-Pacific excluding Japan
Japan
Middle East and Africa
Incisive regional market coverage offers more in-depth information on market performance in key regions, along with relevant graphs, figures, and a list of tables.
The content automation AI tools market has been segmented on the basis of solution and industry.
The content automation AI tools market is segmented on the core solution:
The Content Automation AI Tools market is segmented on the basis of industry:
A research study on the Content Automation AI Tools market analyzes and offers comprehensive research ideas on the market size of the Old and New Content Automation AI Tools market. With the estimated future possibilities of the market and emerging trends in the AI Content Automation Tools Market.
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The recent AI Content Automation Tools Market report contains a detailed analysis of this business space. According to the report, the market will gain ground during the forecast period, while also registering a decent growth rate and representing significant compensation.
The report has been compiled extensively to infer details regarding revenue projection, sales models, and industry size of the Content Automation Tools market. Key information regarding major growth drivers as well as various market segmentations are included in the report.
The AI Content Automation Tools Market report consists of a competitive study of the major Content Automation Tool Manufacturers that will help develop a marketing strategy.
Top Key Players industry are covered in the Content Automation Tools Market research report:
Adobe systems
Competent
Microsoft Corporation
Google LLC and IBM Corporation
Explicit summary of the geographic landscape of the Content Automation Tools Market:
The Content Automation AI Tools market study provides a detailed analysis of the regional industry landscape. According to the report, the market is fragmented into geographies.
Vital information about the market share held by each region, as well as the sales accumulated by the regional markets, is displayed in the report.
The report further offers data related to the recorded revenue and growth patterns followed by all regions during the forecast period.
Distribute by product type, with the production, revenue, price, market share and growth rate of each type, can be divided into:
Social, mobile, analytics and cloud networks
Split by application, This report focuses on the consumption, market share and growth rate of the Content Automation AI Tools market in each application and can be divided into:
BFSI, Healthcare, Retail, IT and Telecommunications, Media and Entertainment and others
An overview of other relevant data of the AI Content Automation Tools Market report is provided below:
The report undertakes a comprehensive approach to the competitive spectrum of the Content Automation Tools market, which includes companies like Adobe Systems, Cognizant, Microsoft Corporation, Google LLC, and IBM Corporation.
An overview of the company profiles, as well as the products offered by all manufacturers and their scope is given in the report.
The study details the market players and provides vital information about the market position, industry share and sales made by each company during the forecast period.
The pricing models and profit margins of the market giant are analyzed in the report.
Talking about the product terrain, the report categorizes the Content Automation Tools market into
Social
Mobile
Analytic
Cloud
Data relating to the share of the industry recorded by each product segment, in tandem with the observed sales and revenue generated during the forecast period, is incorporated into the report.
Elaborating on the application outlook of the Content Automation Tools market, the study examines the industry scenario regarding
BFSI
Health care
Retail
IT and Telecommunications
Media and entertainment
Others
applications.
The report documents details about the sales volume, compensation potential, growth trends, and industry share held by each application segment during the forecast period.
In addition, the study also emphasizes various major aspects of the Content Automation Tools market and describes the details relating to competitive trends, concentration rate, and established distribution channels.
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New Jersey, United States, – The report provides exclusive research on global content automation AI tools based on our honest, accurate and comprehensive market analysis to help you grow your business. This is a high-quality market research and analysis reports of AI Content Automation Tools that provides in-depth research for market players to know the growth opportunities hidden in the competitive landscape in the segments. growth and more. We used both qualitative and quantitative analysis to compile the study. The Market Dynamics section provides information on the market influencers, challenges, drivers, restraints, trends and opportunities. The Content Automation AI Tools report also provides other types of analysis, such as Porter’s Five Forces, PESTLE, and SWOT.
The report includes the profiling of nearly all of the significant players in the global content automation tools market. Company Profile section provides valuable analysis of strengths and weaknesses, business development, recent developments, mergers and acquisitions, expansion plans, global footprint, market presence and portfolio. of products from the main market players. This information can be used by players and other market participants to maximize profitability and streamline business strategies. Our Competitiveness Analysis includes important information to help new entrants identify barriers to market entry and measure the level of competitiveness in the global content automation tools market.
In addition, the global AI content automation tools market is expected to grow at a CAGR of around XX% over the next five years, reach XX billion US $ in 2020, XX billion US $ in 2028
Competition analysis
The report focuses on the content automation AI tools in the global market especially in North America, Europe, Asia Pacific, South America, Middle East and Africa. The market estimate in this report is based on Content Automation AI Tools market selling price (excluding any discounts offered by manufacturers, distributors, wholesalers, or traders). Percentage segmentation, market share, and product segment breakdown are derived from the weights assigned to each segment based on utilization rate and average selling price. The overall Content Automation Tools market and regional segmentation of sub-segments are based on the adoption or usage of a percentage of this product in each region or country.
Major market players are identified by primary research, and their market revenue is determined by primary and secondary research. The secondary study includes a review of the annual and financial reports of major manufacturers; in contrast, the main study includes in-depth interviews with key thought leaders and industry experts, including experienced front-line employees, directors, CEOs, and marketing executives. Allocation percentage, product market share, growth rate and allocation are determined using secondary sources and confirmed by primary sources.
The research focuses on the current market size of the Content Automation AI Tools market and its growth rates based on the files with company highlights of key players / manufacturers:
Major Players Covered By AI Content Automation Tools Markets:
Adobe systems
Competent
IBM Company
Microsoft Corporation
Google LLC
AI Content Automation Tools Market Segmentation:
AI Content Automation Tools market is split by Type and by Application. For the period 2021-2028, the cross-industry growth provides accurate calculations and sales forecast by type and application in terms of volume and value. This analysis can help you grow your business by targeting qualified niche markets.
Content Automation Tools Market Breakdown by Type:
Social
Mobile
Analytic
Cloud
Content Automation Tools Market Split By Application:
Bfsi
Health care
Retail
IT and telecommunications
Media and entertainment
Others
Scope of the AI Tools for Content Automation Market Report
Report attribute
Details
Market size available for years
2021 – 2028
Reference year considered
2021
Historical data
2015 – 2019
Forecast period
2021 – 2028
Quantitative units
Revenue in millions of USD and CAGR from 2021 to 2027
Covered segments
Types, applications, end users, etc.
Cover of the report
Revenue forecast, company ranking, competitive landscape, growth factors and trends
Regional scope
North America, Europe, Asia-Pacific, Latin America, Middle East and Africa
Scope of customization
Free customization of the report (equivalent to 8 working days for analysts) with purchase. Add or change the scope of country, region and segment.
Price and purchase options
Take advantage of personalized shopping options to meet your exact research needs. Explore purchasing options
Regional Market Analysis Content Automation AI Tools can be represented as follows:
Each regional Content Automation AI Tools industry is carefully researched to understand its current and future growth scenarios. It helps the players to strengthen their position. Use market research to gain a better perspective and understanding of the market and target audience and ensure you stay ahead of the competition.
Geographically, the global AI content automation tools market has segmented as follows:
North America includes the United States, Canada and Mexico
Europe includes Germany, France, UK, Italy, Spain
South America includes Colombia, Argentina, Nigeria and Chile
Asia-Pacific includes Japan, China, Korea, India, Saudi Arabia and Southeast Asia
Visualize the Market for AI Tools for Content Automation Using Verified Market Intelligence: –
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VMI provides a comprehensive overview and global competitive landscape of regions, countries and segments, as well as key players in your market. Present your market reports and findings with built-in presentation capabilities, delivering over 70% of time and resources to investors, sales and marketing, R&D and product development. VMI supports data delivery in interactive Excel and PDF formats and provides over 15 key market indicators for your market.
The study thoroughly explores the profiles of the major market players and their main financial aspects. This comprehensive business analysis report is useful for all new entrants and new entrants as they design their business strategies. This report covers the production, revenue, market share and growth rate of the Content Automation AI Tools market for each key company, and covers the breakdown data (production, consumption, revenue and market share) by regions, type and applications. Historical Content Automation AI Tools breakdown data from 2016 to 2020 and forecast to 2021-2029.
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One of the most exciting things about new technologies is the various ways we can use them. Of course, the technology itself can be fascinating, but this is often overshadowed by periods of exploration. We can use these innovative tools and see how they can make our way of life and our business practices smarter.
This is really where we are with artificial intelligence (AI) and automation in business right now. We apply machine learning techniques to various fields: curation, production and distribution of content between them.
As part of a larger content strategy, AI has the potential to improve personalization, reduce retention time, and make delivery more efficient. That said, as with any technological tool, automated content is not without limits.
So what should businesses be aware of when implementing automated tools? How can we use AI to make a dent in content marketing, while avoiding complications? Let’s take a look at the issues to be aware of, as well as the broader implications of its continued use.
Branding
Content is one of the most powerful tools for building brands. Automation can ensure that the widest possible audience is reached with minimal human interaction. AI website builders can help determine the design and layout of content that may be most appealing for specific demographics. It can be helpful to have more of an eye on the marketing copy, when it is most appropriate for your target audience.
These automated ingredients don’t replace the human element in building a brand, but they can support it by doing some fieldwork.
However, it’s when we take a closer look at current digital marketing trends and what consumers are looking for in their brands that we start to see some issues with content automation. The place of today’s consumers a high premium on authenticity as a component of their brand experiences. The content should demonstrate what the company does really well and how it is continually developing in those areas. It must communicate to consumers that the company is trustworthy in its area of expertise.
AI content execution finds blog and social media posts produced to match what the algorithm determines consumers want to see, rather than accurately reflecting the interests and areas of growth of the company. business. As such, this approach can appear inconsistent and inauthentic.
Marketers understand that writing with a brand voice is much more complicated than using key phrases. It must reflect the underlying values of the company and explore in depth topics that demonstrate expertise.
Today, automated content production tends to be superficial – proficient at relaying facts, not very effective at providing the context and relativity that help make content valuable. This means marketers tend to ‘oversee’ AI, editing and rewriting to meet business and audience needs.
Curation through automation
One of the ways that automation can be useful is through content curation and delivery. Small business owners or marketers can leverage their time and resources to produce only a small amount of original content, then automatically organize summaries in email newsletters or repost them on networks. social.
However, one of the concerns surrounding automated content curation is quality control. Businesses are fundamentally convinced that AI can deliver content that reinforces business messages. For the most part, AI is simply not able to understand the contextual nuances required for effective curation. This can not only lead to errors in the type of automation of the content, but also in what it censors.
Last year, YouTube has reinstated human moderators after finding that he was overzealous in removing content. Without the capacity for cultural sensitivity, AI tends to have a hard time understanding the context and overcensing as a result. This can lead to the removal of vital information from news summaries; whether the intention is to serve the public interest or to achieve marketing objectives.
Misinformation is another major concern when it comes to automated content curation. Items that seem relevant to an algorithm based on the topic do not necessarily amount to trustworthy information.
supposedly ‘Fake news’ has become a widespread problem through traditional and digital channels, whether through sloppy reporting or by design to move an agenda forward. By including such articles in organized summaries, businesses are contributing to the damage that disinformation does to public discourse. Worse yet perhaps, they could inadvertently contribute to further public manipulation.
Quality connections
Automation is increasingly used to improve our ability to connect with consumers. This is usually seen from a customer service perspective through chatbots, but is also starting to be used through content delivery platforms – social media, email delivery. This can be an effective approach to simple initial interactions with customers, before handing over to human staff for more in-depth conversations.
The problems really arise when businesses rely too much on AI content tools to engage with customers. These systems evaluate the most appropriate response to customer contact and respond automatically. Unfortunately, no amount of Natural Language Processing (NLP) coding can make AI capable of human behavior such as the empathy that consumers often seek in their engagement with businesses.
Bank of America automatic responses to the #Occupy movement on Twitter are prime examples. Rather than genuinely engaging with an audience concerned about the bank’s ostensibly unethical practices, one bot simply responded to “help” them with their checking account issues.
The result of overuse to connect with customers is that those consumers tend to shy away from aggrieved interactions. While to business owners this may seem like an effective tool, consumers who take the time to try and make quality engagements with businesses feel, and rightly so, that they deserve the same. in return.
Automation in itself is not a problematic technology – it can be an innovative tool to improve efficiency. The problems arise in the way we use it. Rather than relying on AI to take care of the tasks, we need to treat it as a collaborator. Not only does this provide the human element customers need and deserve, it can also prevent some of content marketing’s worst mistakes.
We haven’t had much sun this summer here in Felix. We’ve been locked up, huddled in our laptops, destroying a bunch of new stuff – which overall gives us all-song (yes, we have audio), all-dance (yes, video too ), all-drag (see our Insta formats) new version of the product…
Felix started with automating content discovery experiences: giving content marketers and publishers new ways to enable their audiences to find new content on their sites.
It’s about how to make a site more eye-catching, once you’ve got your audience – and we’ve always done it pretty well.
But what about all the hard work you do to get people to your pages in the first place?
We thought a little automation could help when it comes to content creation. So #NewFelix also gives you video, audio and Instagram story super powers… alongside all of our good old collections of content.
Felix also now takes all your new posts, pages, and articles, does some magic, and then turns all the words and images into an array of new content formats – so you upload and share them on social media, as well as embed them on your source pages.
We think it will help a lot. For every new creative content you create, you now have 3 new ways to make it even more engaging… instantly and at an amazingly low price.
Here is the use case from yesterday …
Roger writes a blog post or a short story. He publishes it. He’s looking for a nicer image to use for Facebook or LinkedIn. Then he goes to those platforms and shares, or goes to his social post tool to play some more, and then posts it. People see it in their news feed, click, go to the source page, and scan.
If Roger is lucky, that initial engagement on the page lasts more than a few seconds, and people keep reading. If he’s lucky, they click on another article. If he’s unlucky – or if its content is a bit… well, boring – they go straight back to their News Feed.
Here is the Felix use case …
James creates its content and publishes it. He walks over to Felix and checks the merchandise: a short snacking video teaser that brings together all of the best bits of his post; an audio clip of less than a minute, presenter style, which summarizes the content of his key message; a slick and crisp Instagram story format that does the same.
If James wants to mess with the new format copy, he can. He can also swap some images if he wishes. He clicks Refresh and presto, everything is updated – everything is automated and instantaneous. It downloads a few of the formats and plugs them into its social media channels – as better, more engaging side pieces to promote its new content. It also gets the integration snippet for each of them and pastes them into its source page.
Now his social acquisition efforts are much more interesting and his new web page is much more engaging.
(Believe me, it works. Here is a B2B case study with DVV Media – increased audience engagement x3; here is a B2C case study with NME – increased engagement x2.)
Come on Jacques!
All of these brilliant new things that their audience can play with… in their social feeds and on the page. (It all took James a few minutes, by the way.)
Oh, and all of these great new formats are showing up in her onsite Felix content collections as well, giving her audience an even more enjoyable way to experience related content, once they arrive.
It helps all marketers and content editors create more interesting content combinations, so you can maximize the attention and retention of your audience… on your websites, and now on social media.
Basically Felix takes your standard post / page / web article content and turns it into something special. About a hundred times faster and at a lower price than usual production costs.
Important to say, as before: No new workflow and no coding required.
Our new pricing plans start at £ 50 per month for our ‘Social’ edition… and you can try it out for free.
When the Avengers series spreads the idea that artificial intelligence (AI) is going to take over the world, you laugh at it like a piece of science fiction. When technophobes warn you that bots are cutting jobs, you dismiss it as an unnecessary fear-inducement. You insist that AI automates routine physical tasks with great efficiency and speed. However, when you come across “this article was written by a robot” at the end of a story, it makes you sit down and take note.
Welcome to the world of content automation! It is one of the latest AI applications that will turn the world upside down.
Content Automation – Using AI and NLP
AI technologies are improving and accelerating with applications covering all use cases.
For interactive communication, writers and journalists use natural language processing (NLP) because of its ability to decode language and texts. They were first used in chatbot conversations and read aloud from text-to-speech systems. However, NLP platforms are now able to perform contextual searches and reviews on the web. Plus, they can turn both into summary stories. On top of that, it helps journalists and writers produce more relevant and error-free content in seconds.
There are improvements in NLP technology and advanced NLP software. They help in transforming structured data into simple and long content. These are automated natural language generation (NLG) systems that decode data and store textual information from multiple sources in real time. In addition, they also transfer the information in a readable format. Like data cleansing, the NLG system eliminates ambiguous or erroneous user input and translates it into text format.
Photo of Marketing Germin8 on Germin8
What is Automatic Natural Language Processing (NLP)?
NLP understands human language. Additionally, Machine Learning (ML) repeatedly learns during the process of finding and curating content from various sources. Additionally, the system determines what content to include, how to structure the document, aggregate text, and merge similar sentences to improve readability. On top of that, it uses rhetorical word choice for the natural and follows the rules of syntax to write a grammatically correct article!
The benefits of deploying the NLP technique for article generation have prompted publishers to create their own writing bots. Also, they influence computer writing software for automated generation of news and articles.
So, with the digital disruption of content creation, we now have robot-generated news stories and articles that go beyond rewriting news articles into opinion pieces. From creating summary news articles to opinion pieces, AI writing software has revolutionized journalism with content automation like never before.
With advancements in algorithmic techniques, is it possible to perfect AI and NLP in a way that people think a real human wrote an article designed by a robot?
Well, even as we speak it is happening all over the world!
Photo by Swapnil Singh on Medium
Current content automation tools
Bloomberg was one of the early adopters of automated content. They used their dedicated program, Cyborg, to produce articles in their financial section. Much like business reporting, the “robotic journalist” reads and analyzes financial reports to produce news articles. This is one of the best use cases for content automation. This is because it leaves no chance for human errors of interpretation. Consider a traditional newsroom setup when the reporter is late. While she is browsing through a lot of data, her editor has to wait for her draft.
Enter the robotic journalists. From instant curation of financial news from around the world and different timelines, to analyzing tons of reports in seconds and translating into appropriate content, AI can do it all for the journalist. What else? You can do a lot more content, without any margin for error, with a fraction of the resources and in real time. Happy times for the editor, always under pressure to provide “breaking news” and justify staff costs to the board.
Forbes also uses the IA Bertie publishing platform. It is an essential content management system (CMS) tool that recommends article topics to contributors and titles based on sentiment analysis of previous posts. The Washington Post’s adoption of the Heliograf robot created a trend in content automation in 2016. It produced 850 reports on the 2016 presidential elections. Drawing inspiration from the use of robotic process automation ( RPA) in algorithmic trading, Heliograf relies on AI to detect trends in finance. For real-time automated news alerts, they collect a huge amount of information filtered by news services and global markets.
Photo from Meta-Media on CMFTrends
Other uses of AI and NLP in journalism
Along with AI-driven automated writing software and custom bots, APIs are also used to optimize workflows that take the burden off the reporter from mundane tasks. The BBC uses news content and aggregation API, The Juicer. The Washington Post uses the Knowledge Map in addition to its robot Heliograf, to correlate media sources. The New York Times is deploying the publisher’s app in its research and development lab to process data faster. Reuter news agency uses News Tracer to stay on top of the latest news, automating routine content research tasks. Another news agency, the Associated Press, began using AI as early as 2013 to extract data and report on sports and income. Today, he uses the NewsWhip to stay ahead of new trends on social media.
These are just a few examples of how media giants and news agencies are deploying AI for bionic content. While some tools improve journalism, others improve the quality of stories and make them more relevant through timely publication.
Can AI ever write as naturally as a real person?
Digital transformation has pervaded all industries and streamlined work processes. However, most people would not have imagined that this has already had an impact on journalism. While it’s cool to have a chatbot to answer your product questions, asking the AI to decide what content you read with your morning cup of tea can be a mind-boggling experience.
AI applications in content automation are a whole different ball game. AI can extract the most relevant news while algorithms bring content together; Produce summaries, generate search-optimized catchy headlines, and also map great news with an opinion.
Does the rise of content automation mean the resumption of journalism jobs and newsrooms?
Much depends on the ability of the AI author and the robot author to write as naturally as humans. Just like in healthcare, robots cannot completely simulate human touch. In addition, the robot reporter cannot ask follow-up questions on the fly during a face-to-face interview. Creativity and humor also cannot be replicated by a robotic journalist.
The critical thinking and analysis of AI authors has its limits. They use ML and historical data for prediction and opinion. However, they cannot take advantage of critical thinking when there is no past data or relevant information to work with. Bots cannot replace opinion pieces and editorials because every top author or editor has their take on the news that builds their brand value.
How will content automation impact journalism?
Technology has always changed the way we live and work. In content automation, AI is poised to revolutionize the way news is generated and created. From images to data and scenarios, automated content is designed to be more sophisticated, relevant and precise.
While AI algorithms cannot (yet) independently create stories, they can work with given keywords and information to enhance storytelling; edit titles, images and supporting data tables. Moreover, it can analyze huge chunks of information in a very short time.
Robots can play the role of assistants and researchers. They can gather the necessary information and help with optimized headlines. Routine tasks can be automated, leaving the reporter free for live reporting, investigative reporting and face-to-face interviews. Content automation is most important in the realm of data-driven stories, financial and sports news, where real-time news generation makes the difference in profit for a publisher.
Photo of Andy Brown on GO PR
Content Automation: Will It Ultimately Benefit Journalism?
What is content automation for? It provides journalists with error-free, validated, verified and valuable work. It helps the writer with mundane data mining, research and aggregation of early drafts. The use of technology has freed up about 20 percent of journalists’ time to cover financial news.
Automation is a highly opinionated editorial area that can create a dangerous trend. On the flip side, the judicious use of bots and custom APIs for specific tasks can be more of an augmentation than a destructive force. Publishers have to get used to the haphazard deployment of technology to automate tasks.
Photo by Damon Ragusa on Marketing Land
Final thoughts on automating AI content
The overall narrative revolves around AI bots cutting journalist jobs, which is a myth at best. Automation can’t be a job killer, but raises the bar even higher with highly specialized, real-time factual stories. AI has unlimited potential to support the content automation industry. It tells better news that adds momentum to a 24/7 connected ecosystem hungry for instant information.
Although link building remains one of the most important signals for getting high rankings in organic search engines, search engines continue to produce less organic results from one year to the next. Ads generate revenue and trick search engines into manipulating results in their favor. While more searchers once preferred organic results to paid results, search engines have found ways to slowly change consumer sentiment, possibly providing better results aligned with the researcher’s intention.
In technology-driven industries, the only real constant is change. Change in these industries can happen quickly and severely disrupt the status quo, gutting once-vital businesses. Word processing killed the typewriter, VOIP changed the model of the landline and bidet industry [should have] toilet paper killed. Sadly, the next announced future AI disruptions are expected to disrupt nearly every industry, stealing many viable jobs in their wake. The following are just a few:
Machines in manufacturing, logistics and processing
3D printing for everything from spare parts to consumables
Self-driving cars in transportation (including subsequent decline in insurance claims)
Blockchain and robo-advisors in financial services
Internet of Things (IoT) for device tracking and management
Space and quantum computing
Artificial Intelligence (AI) in coding, communication and marketing
The evolving technology of jobs and industry will prove to be a boon in some areas and very disruptive in others. Content marketing, and link building in particular, is not immune to the next wave of business bots, artificial intelligence, and automation.
Impact of AI-powered link building
Whether it’s judging emails or backlinks, artificially intelligent crawlers improve to filter quality. But, AI-powered content creation tools are improve in parallel. Here’s what that means for the future of the web, including the heavy SEO link building activity:
Infinite content. When the cost of content is fixed and not variable, it gives anyone with the machine capable of creating it the possibility of producing an unlimited supply. Yes, the demand for quality content will always be there, but what happens to the price of content when the supply is endless and the cost is almost zero?
Link speed. In a world where the speed of content production (and therefore the speed of link acquisition) is unlimited, the speed of the links obtained can be manipulated quickly to highly artificial levels. However, programming an AI content bot to create content and links at a natural frequency that hits the threshold of “natural” looking is as easy as a line or two of code.
Services become a product. When a service-driven, human-powered industry is overtaken by AI and robots, which was once an expensive and time-consuming process link building service, quickly turns into a systemized commodity, with minimal cost and a monthly service plan.
Quality deserves freshness. When the supply of content is endless, it collides with Google’s QDF (quality deserves freshness) algorithm. Massive amounts of even meaningful AI-produced content may not have the same ranking value as existing pieces considered more “evergreen”. In the future, content will likely require some type of forking or visual categorization to separate live alerts from detailed information. But, in the end, how will we know if such information was created by a human or a machine?
But, when services become commodities, there is nothing left for differentiation. Posting more content inevitably becomes a race to the bottom.
Penny Wise and Foolish Editor
As tempting as it may sound to eventually automate external content marketing and link building, there are a few key hurdles:
Not all content is created equal. The robots have nevertheless been able to reproduce the complexity and the beauty of Mozart, the Mona Lisa or Rudyard Kipling. Likewise, great content is timeless, persistent and that’s what really drives traffic and eyes. In short, it is difficult to reproduce the spirit and style of a truly gifted writer. This is one of the reasons that search engines heavily track spam, cut back links whose content is created just for the good of the content, and punish abuses that make backlink profiles seem unnatural. AI is smart, but it’s not yet.
Not all content serves the same purpose. Content created by bots is generally used for shorter, timely, and news-like articles, not the lengthy, witty, and educational content that is typically found in most written online articles. When bots finally appear in droves, they’ll likely perform the more mundane tasks of regurgitating news and automated Twitter posts. We are already seeing it in the pockets, but not on a larger scale. The most beautiful and timeless pieces are more likely to be created by creative minds, something AI has yet to fully master.
Content is not created in a vacuum. Content is often not isolated, especially online content. This is the very reason why hyperlinks were invented in the first place. As a reference, they allow the user to further explore the arguments, details or claims of a given topic. They lead users (not just web crawlers) to various cited sources where other great content exists. A single piece of content, regardless of its quality, is always best complemented by another element, whether it is associated with it or deviated from it. Why is this important when it comes to AI? Because not all content serves the same purpose, it stands to reason that even the best AI-based content won’t have the benchmark human element (for example, “here’s what my friend John Doe says about the subject ”- with a hyperlink inserted). No, the loss of the human element can mean that we lose the attention of those who matter most: humans.
While it may ultimately be tempting to outsource the production of content to AI bots or even foreign companies, the reality is that the quality of the content and its location should not be left to chance. No, even the most purposefully constructed content and links require a focus on the higher echelons of quality.
The link builder’s dilemma
Even with purposefully created quality content, there are still risks for those who believe that link building is the end of SEO and content marketing. Online with the tenants of the famous book by Harvard professor Clayton Christensen The innovator’s dilemma, innovation in link building and content marketing includes a similarly structured framework.
Like any good breakthrough innovation, content bots will focus and start to dominate niches like this news discussed earlier. According to the framework, smaller markets have smoother and more difficult to predict futures contracts. The large existing players are therefore more reluctant to become an entrant. Additionally, demand for AI-powered content remains low as it remains on the sidelines, but its eventual increase could quickly quell the current status quo.
Even worse, and even more likely, is the eventual shift in search engine algorithms to move away from backlinks as one of the primary signals of value and authority for websites. Artificial intelligence can potentially find other ways to determine the intention of the researcher and bring real added value to those seeking information through online research. Downtime, social shares, and other signals are more likely to be the basis for delivering meaningful content to users.
Judge with caution
When judging among various link building services, reading various online reviews of different services will at least help determine its own quality score. But the biggest threat of the future to today’s status quo when it comes to boosting traffic through relevant links are not offshore link builders in India or even AI bots, they are search engines.
Building relationships – and a business – with long-term sustainability in mind, requires a strict focus on quality – something foreign bots and solution providers have yet to master. Whether outsourced or in-house, quality written content – for the foreseeable and immediate future – will likely stay in the hands of humans down to earth.
Frank Landman
Frank is a freelance journalist who has held various editorial positions for over 10 years. It covers technology trends as it relates to business.
Abbyy, the long-time provider of content capture and document data extraction software, has launched Vantage, a new content automation platform designed to simplify intelligent automation processes by enabling users to integrate data mining tools into their RPA and BPA platforms.
Released April 2 in beta, the automation and content management platform illustrates how the company, founded in 1989, adapts well to Modern RPA, data mining and analysis technologies, said Holly Muscolino, analyst at IDC.
“This idea of smart capture is not new,” Muscolino said. “It’s something we’ve been doing for at least a decade, even with basic machine learning built in. “
Vantage represents “an evolutionary process, not a revolutionary process,” she added. Abbyy is a client of Muscolino.
FlexiCapture, now available in a two-digit iteration, has kept pace with technological developments, adding intelligent image-to-text conversion, OCR, data mining and data analysis capabilities as AI has become more available and affordable.
[Vantage represents] an evolutionary process, not revolutionary. Holly MuscolinoAnalyst, IDC
Vantage, however, is Mathias Fransen, Managing Partner at Abbyy partner RoboRana, described as a “light version” of FlexiCapture. It allows users to integrate smart skills like text and data mining tools into their RPA or BPA platforms, he said.
RoboRana customers, which helps companies automate their processes and configure RPA, have sometimes found FlexiCapture “cumbersome,” Fransen said.
“It can be difficult to understand and difficult to put together on their own,” he said.
However, Fransen added, the Vantage content automation platform is straightforward. For example, in an early release of the product, RoboRana was able to add additional data fields requested by a customer and learn the algorithm behind this process within half an hour.
Abbyy Vantage offers an interface to design smart skills
Easier, simpler
Neil Murphy, vice president of global business development at Abbyy, said that with Vantage, Abbyy has tried to create a product that uses advanced AI technologies but is simple for people on the market. business side use.
For RPA users in particular, said Murphy, “it should be relatively easy for them to create a goal or skill” with Vantage.
The content automation platform, which Abbyy says will be fully available in Q2, will come with a number of smart skills preloaded that can be applied to various content-based processes including RPA and BPA.
Those preloaded skills include OCR, data classification, and data mining, which can be adapted and trained as needed, Murphy said. Users can also create and deploy skills using a relatively simple user interface.
Looking for new users
Because it’s easy to use, according to Abbyy, Vantage should tap into a new market of business users who might not have technical knowledge.
According to Muscolino, the Vantage content management and automation platform is a reaction to current technological trends.
While Vantage is not unique – RoboRana works with similar products from other vendors, including Irvine, Calif.-Based Kofax, which also sells a content automation platform – it is expected to attract new customers and attract current customers, said Muscolino.
“Abbyy’s approach is very positive as they understand that they are marketing to a new buyer,” Muscolino said.
Riveting work, a solutions provider that helps retailers collect and use consumer-generated content, has partnered with Wholesale trade. Rivet Works integration is now available through BigCommerce App Marketplace.
The platform facilitates the process of adding videos, photos, narrative stories, and buyer comments to e-commerce sites and retail social media accounts. Rivet Works automatically collects content directly from former buyers, then uses machine learning to organize the information into the appropriate product categories.
According to Rivet Works, its customers earn 155% greater social reach and 104% more reactions, shares and comments for Facebook posts powered by Rivet Works compared to a typical retailer post. Additionally, direct-to-consumer businesses report conversion gains of up to 200% for pages containing content based on Rivet Works.
“The growth of our business depends on quality and community, not on the affordability of the product,” Matts Jopson, vice president of succulent retailer Mountain Crest Gardens, said in a statement. “Having customer photos and videos linked to relevant stories has helped us harness the passion and experience of our community to drive sales, drive effortless organic marketing, and ultimately protect us from. the impact of a larger retailer entering our space. “
Rapidly changing buying habits are increasingly affecting the growth of organizations, and it is clear that selling content is a very important part of the sales process for businesses to achieve their goals. However, this sales content must be accurate, frequently updated and easily accessible to
sales teams in order to offer them the most relevant and specific assets for each sales situation. Personalization has also become a de facto necessity in sales, and buyers don’t just want it, they need it for them to navigate what is often a team buying experience. In addition to personalized content, the ability to easily find, assemble and distribute that content is also essential. Connecting these dots is also the basis for measuring what is working well and what is not, in order to improve and replicate it throughout the organization.
The world is now more interconnected than ever. In comparison, teams dispersed within a sales organization are interconnected through the sale of content. If created and managed effectively, content automation enables a smooth sales process, thus advancing your organization’s bottom line and bottom line. However, without content automation, your sales efforts are rooted in the past, stopping progress due to the inability to personalize and sell faster. It doesn’t have to be a Herculean effort to streamline content automation. It does, however, require a strategy that leverages the technologies to support it, thereby reducing complexities and improving productivity.
The missing piece
While our first annual edition Content Automation Trends Report validates that content automation is a key factor in any sales strategy, the overall sales strategy itself must be relevant to win repeatedly. End-to-end strategic sales execution is a methodology that integrates vital sales tactics such as content automation to both maintain and hone an effective sale. To find out more, go to our 2015 Sales Execution Trend Report and move beyond tactical selling to a complete sales transformation.
Amanda Wilson is Vice President of Global Marketing at MobileBridge, the leading provider of mobile application engagement automation solutions. His experience mixed with marketing, products and sales is the source of his passion to help companies market and sell their products through SaaS technology. She previously held marketing management positions at Qvidian and Acquia.… View complete profile>
