Why Use AI For Content Research
AI is transforming content research as we know it, improving accuracy, automating data analysis, and allowing real-time editing.
AI content research has transformed the way marketers conduct research. It’s no longer a grueling long process, but one that is stress-free and complete at the click of a button.
Using AI to help when you are researching ideas can improve content creation, engagement with your audience and overall speed-up your research process.
Learn AI’s role in content research and change the way you research for good and for the better.
What Is AI Content Research?
AI content research is the implementation of artificial intelligence (AI) technologies and tools to collect, analyze, and interpret data related to content.
AI Content Research also includes studying data from social media, search engines, and industry reports. AI paired with content research allows marketers to understand the competitive landscape and generate new ideas. Marketers also have the ability to measure performance and identify emerging trends and topics. AI content research is here to save time and energy so marketers stay ahead of the curve and produce more innovative work.
It almost seems too good to be true, but you too can reap the benefits AI provides for your research.
Explore What AI Content Research Can Do For You
Although there’s many tasks AI content research can fill, there’s three main areas where it thrives:
- Provides relevant research content.
- Analyzezes content.
- Writes & edits copy.
Discover Relevant Research Content
AI-powered search engines and databases have the power to shine the light on relevant content that you may miss. Search for specific keywords or phrases, identify and extract key information from research papers, and follow relevant researchers and experts.
- Use specific keywords and phrases in your searches. The more specific you are, the more relevant your results will be.
- Use filters to narrow down your results. Filter by date, language, or type of publication.
- Save your searches so that you can easily come back to them later.
- Set up alerts for new research on your topic of interest.
- Follow relevant researchers and experts on social media and other platforms.
Analyze Research Content
By using AI to analyze research content, marketers can gain new insights and make more informed decisions about their work. Use AI to identify trends and patterns that may be difficult for humans to see. After all, good content research is essential for a strong content marketing strategy.
Use AI To Write And Edit Research Content
Prompt AI with a request and off you go! Generate summaries and paraphrases, new ideas, and just about everything under the sun. AI can also be used to identify and correct grammar and style errors in your research content, helping you produce more polished and professional-looking work.
Delegate writing and editing tasks to AI to save valuable time and effort producing high-quality work.
Different Types of AI Content Research Tools
You may not know where your needs fit into the vast world of AI content research tools. Here, we will lay out the different types of AI content research tools and put a name to your needs.
Focus On The Keyword
Effective marketing shouldn’t include guesswork. Eliminate the uncertainty with keyword search tools. Reveal popular words or phrases that people use when searching for information, products, or services on search engines like Google.
This way, you can adopt their keywords/phrasing and approach them by speaking their language.
Enter Rytr. This AI generated tool helps writers fire on all cylinders when it comes to keywords. Rytr identifies main keywords and questions in a text and can generate relayed keywords and key phrases.
Discover Niche Topics
Topic discovery tools assist content creators and marketers in identifying relevant and trending topics for their content strategy. These tools help users discover new and engaging topics, understand audience interests, and stay up-to-date with the latest trends.
Semrush provides fresh content from any topic, so users can write seamlessly at a faster pace. Their AI generated topic research tool helps users tap into untouched topics/ideas. Semrush has made it easier than ever to give your audience the engaging content they need.
Generate Fresh Content
Content generation tools automatically create written content at the click of a button. Speed up production time for articles, blog posts, product descriptions, and more. These tools can be used to streamline content creation processes, save time, and generate relevant copy in the blink of an eye.
Introducing your new AI personal writing assistant: MIA. CoSchedule has recently released an AI-powered marketing assistant to help users write first draft copy, generate new ideas, and streamline your workflow.
Truly evaluating content requires marketers to give meaning to the results. With content analysis tools, it’s easy to analyze and extract insights from text-based content. These tools help gain a deeper understanding of textual data, identify trends, sentiment, and other patterns.
Highly- evaluated content leads to data-driven decisions that don’t lie.
Tellius is a powerful AI tool that helps to look past the numbers. With Tellius, you can see the exact reason as to how you received the results you did. Dig deeper into traffic and engagement with a complete analysis of your work.
Best Practices For AI Content Research
- Use AI to complement your own research skills and knowledge.
- Don’t rely on AI to do all of the work for you.
- Fact-check and verify all AI-generated content.
- Use AI to create more personalized content for your target audience.
Complement Your Work With AI
AI is the perfect support tool to help fill in any gaps to your previous findings. It can fulfill your work and support your main points. Use AI to complement your own research skills and knowledge, so your writing can meet full circle.
Remain In Control
Think of AI as your jumpstart. Or perhaps your sidekick. Although AI content research relieves marketers of many stressors, it’s still important for written pieces to go through marketers hands. Avoid relying on AI to do all of the work for you, and take the time to proof-read and adjust AI’s work accordingly.
You’ll find your best work happens when AI and the marketer work together, pulling their own weight.
Double-check Finished Work
Although AI has proved its versatility in writing and producing content, you can’t completely out-rule that it won’t make any mistakes. To ensure your piece is flaw-free, run your eyes over your final document. You can even use Grammarly to fact-check and verify all AI-generated content. That’s when you’ll know your writing is ready to publish on your command.
Create Personalized Content
Personalized content not only grabs the attention of your readers, but it also increases engagement. Continue to publish personalized content and you’ve rounded up loyal customers that support your marketing and keep coming back.
Generating continuous personalized content can be hard but it doesn’t need to be hard. With the help of CoSchedule’s AI Prompt Library, gain access to 500+ prompts to specifically target your audience. Ranging in dozens of categories, your audience is bound to feel heard, seen, and connected.
Successful Examples Of AI Content Research
The use of AI has reinvented how brands conduct their research. To see how companies used AI content research to their advantage, here are real-life examples of how it enhanced their research.
Over at Google Scholar, AI recommends related papers to users, and identifies the most influential papers in a given field. Providing users with helpful and relevant information before they even know they need it.
Instead of waiting for trends to come and go, AI can alert you of up-and-coming trends before they even surface. Microsoft Academic uses AI to identify emerging research trends. AI also aids them to generate semantic relationships between papers and resources for their users.
Elsevier’s SciVerse ScienceDirect
Elsevier’s, much like Google Scholar, uses AI to recommend relevant papers to users, and to extract key information from papers, such as the main findings and conclusions. With this addition, Elsevier’s was able to organize their articles in a pleasing way for their audience, leading to an increase of usage and accessibility.
With the use of AI, Volkswagen forecasted future buyer purchases. Trusting their data wholly based on AI’s predictions ending up paying off. Volkswagen was able to not only cut hidden costs, but also increase sales by 20 percent.