5 Ways AI Testing & Optimization Improves Content Performance

Personalization Marketing
by Angela Baker

Whether you produce content for your business’s blog or website or work as a content creation and outsourcing contractor for third parties, AI testing and optimization can indeed improve your content’s performance. While artificial intelligence is typically associated with software testing or chatbot algorithms, the technology can be found in a multitude of content creation and optimization services across the web.

According to Tech Jury, 85% of customer servicing will be conducted without human interaction by 2020, while 36% of executives expressed that their primary AI integration goals lie in internal operation optimization, such as content production. Whether you work as an SEO specialist or as a full-time creator, introducing AI testing and optimization to your processes can be extremely beneficial.

With the right combination of tools and platforms at your disposal, you can easily streamline your production cycles and devote more time toward ideation and customer servicing instead of manual content optimization.


AI-Driven Content Optimization Tools to Consider

Before we dive any further, let’s cover several AI-driven content optimization tools worth implementing in your production cycle. These will help you not only publish higher-quality content more quickly but also ensure that your business generates traffic, leads, and sales as a result of their up-to-date databases and algorithms.

Content Automation (Creation)

Automated content marketing is a type of marketing that relies on AI automatically creating textual, visual, and auditory content. Machine learning and deep learning algorithms collect data about popular content as well as the target keywords and create unique and readable content.

However, there is one problem with AI-based content creation: the technology still has a long way to go to create truly valuable content for users. Instead, you can refer to platforms such as Trust My Paper, Evernote and Grab My Essay if you lack in-house writers and want to use AI solely for post-production and optimization.

Content Strategy

Machine learning is able to help marketers with creating content strategies by discovering new content ideas based on research, identifying best-performing topic clusters, showing the most relevant keywords in your niche, and automating performance measurement.

As a result, such tools can help to improve the process of creating content strategies and be more relevant to customers in marketing communications.

Content Personalization

e-Spirit’s own AI-enabled content personalization tool delivers relevant and personalized digital experiences that influence customers and increase engagement. The heart of the tool is the Intelligent Content Engine responsible for personalizing the digital experience for specific customers by finding relevant texts, ads, menu, CTAs, etc.

As a result, it becomes possible to personalize content in real time based on a visitor’s clicks, conversions, subscriptions, or website behavior. Since personalization is an effective way to influence customers’ decisions - in fact, 74 percent of marketers say it has either “strong” or “extreme’ impact on advancing relationships with customers - using this strategy is a legit way to increase conversions.

Learn more about "How AI-Driven Experiences are Driving Profitability in e-Commerce"

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Content Marketing

Keyword research and discovery, content distribution over different online marketing channels, content proofreading - a lot of tasks that people do to plan and implement a digital content strategy can be automated with AI tools.

SEO tools such as Google Analytics and SEM Rush operate on machine-learning algorithms that are useful for discovering industry trends and ways to rank higher in SERP.

5 Ways AI Testing and Optimization Helps Your Business

Finding the right set of tools and platforms suitable for your delivery style will ensure that AI-powered optimization improves the overall reception and performance of your content. With that said, let’s discuss several different ways in which AI testing and optimization can have a positive impact on your business.

1. Resource-Saving through Automation

First and foremost, using AI-powered tools in your content optimization processes will allow for a higher degree of automation. In practice, this means that you will be able to delegate traditionally-manual activities such as writing or content formatting to AI algorithms without issues. One such option lies in Natural Language Generation or NLG for short, which revolves around automatic text-generation with a human-like vibe and overall quality to it.

This addition can prove transformative for your content production since you can combine NLG with SEO and other optimization tools post content creation without personally writing. It can not only speed up your processes but also ensure that you publish native-language level content even if you are not adept in the English language.

2. Streamlined Content Production Processes

No matter at what scale or in which industry you aim to publish your content, there is no denying that you will always race against the proverbial clock. Your competitors and other content providers will likely follow the same trends as you and aim for quick publishing to capitalize on popular topics and discussions.

However, using AI tools in your testing and optimization can effectively eliminate manual research and bottlenecks which are traditionally associated with content writing. The aforementioned NLG algorithm, as well as tools such as Readable, will allow you to quickly create and optimize content for a fast-tracked publishing schedule.

3. Higher Audience Engagement

One of the most important aspects of content production and online publishing as a whole is to encourage audience engagement. After all, content which audiences find appealing will be shared and generate more ROI as opposed to those that don’t. Services and platforms which are powered by AI have an innate ability to integrate content elements which “click” at the time of production, effectively assisting you in generating higher engagement rates.

Samantha Richards, Head of Content Optimization at Studicus spoke on the topic recently: “Even high-quality content written in impeccable English grammar and vocabulary can underperform and turn out to be a waste of resources. To avoid that, industry and SEO trends should be taken into consideration pre-production, in addition to careful call-to-action placement and timing of publishing.”

4. Lowered Margin for Error

The human error tends to rear its head in content production and optimization fairly frequently. This happens when market research, SEO optimization and content editing is relegated to a manual workflow instead of automated tools and services. It’s no wonder then that AI-powered tools can effectively eliminate any downtime, bottlenecks, and pitfalls related to manual creation, editing, and post-production in your content-related activities.

This will have a positive effect on your brand’s overall reputation, word of mouth and traffic since audiences will start to notice a consistent level of quality from your content. In the time of quick turnaround expectations and a highly competitive global market, a lowered margin for error can transform the way you deliver content to your audience going forward.

5. Competitive Search Engine Ranking

Lastly, your business’ placement on popular search engines such as Google, Yahoo and Bing will make or break your performance across the board. Search Engine Optimization (SEO) remains a pivotal part of post-production in all aspects of content creation, from blogging to product description writing in the e-commerce industry.

Analytical tools that can offer tangible and objective data in regards to SEO optimization rely on AI algorithms in their research. That is why tools such as Moz and WooRank should find their way into your content testing and optimization in some capacity regardless of how confident you are of your abilities as a creator. Make it easier on yourself and your business’ SERP ranking and use AI tools in abundance to avoid low content performance.

Conclusion

When all is said and done, it can be overwhelming to incorporate AI testing and optimization into a content production model that served your business well so far. However, with the growing competition and a plethora of new tools and services that can greatly benefit your organization’s success, it’s best to pioneer digital trends rather than follow in other businesses’ footsteps.

Make sure to take the arguments and suggestions we’ve discussed into consideration in terms of your own content performance optimization methods. Test the waters of AI services to determine how they fit into your model without disrupting functional activities. Before you know it, you will have successfully integrated AI into your business and you will reap the benefits of what the future has in store for content optimization sooner than most.

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About the author

Angela Baker is a self-driven writer and blogger who writes for LiveInspiredMagazine and is currently working as a strategic manager at PickTheWriter.

Angela Baker
Self-driven Writer and Blogger