FAQ generator

Build a set of FAQs from existing company documentation


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FAQ generator: how to use it and why

Written with Writer

The internet has provided users with an endless encyclopedia of resources and information at their fingertips.

Unfortunately, endless web resources doesn’t always translate to finding information fast. And the reality is, users want to find a solution to their problems quickly, without wasting time scrolling through endless content on the internet.

That’s where Frequently Asked Questions (FAQs) can save the day. FAQs answer customers’ most common questions and follow-up queries when reading a blog, marketing strategy, or business proposal.

Creating FAQs requires an investment in time and resources. However, FAQ generators can help you automate the process, creating FAQ content in no time that accurately reflects your input content.

What is an FAQ generator?

An FAQ generator is a tool that creates a list of frequently asked questions and answers from the content of your blog article, product documentation, or website.

Writer’s FAQ template uses AI writing to build a set of FAQs directly from any documentation, URL, or content you provide. The FAQs generator creates numerous questions and answers on the spot for you to choose which to include in your content.

Why use a FAQ generator?

FAQs improve the user journey by answering your customers’ needs and providing helpful resources quickly and effectively. However, creating a list of FAQs isn’t that fast or that simple.

FAQs generators catalyze the writing process and provide helpful resources for users. With FAQ generators you can:

  • Save time: a FAQ generator saves you time by quickly creating quality content for your website, business documentation, or blogs.
  • Improve customer satisfaction: automated FAQs allow visitors to find answers to their questions without contacting you directly. Moreover, as AI generates the FAQs, they remove knowledge bias and create a comprehensive list of queries.
  • Drive website traffic: an FAQ page can also be a great way to increase website traffic, as it provides a valuable resource for your visitors. By including a link to your FAQ page in your website navigation, visitors can easily find the information they need.
  • Avoid user frustration: answer your customer questions directly and instantly with FAQs relevant to the content they are consuming.
  • Increase sales: FAQs remove any customer hesitation by answering questions about a product or its benefits.
  • Improve SEO: FAQs help improve page ranking by improving the quality and having long tail keywords for relevant search queries.

What can you use an FAQ generator for?

The goal of an FAQ is to provide the customer with all the information they need to educate themselves further on a subject and encapsulate the most important questions without looking for answers elsewhere.

You can use FAQs for:

  • Blog posts
  • eBooks
  • Product descriptions
  • Business proposals
  • Product demos
  • Website pages 
  • Webinar insights
  • Podcast summaries

Each piece of content will generate its own set of relevant FAQs to improve the reader’s knowledge and understanding of next steps.

How to use Writer’s FAQ generator

Create a complete list of FAQs faster than the speed of light with Writer. 

You can create a comprehensive list of FAQS in two steps:

Step one: write down the source of the content. You can either paste a URL or paste the content.

Step two: write down the target audience. For example, content marketers, HR managers, product developers, etc.

5 Best practices to make your FAQ extra helpful

FAQs are helpful tools to introduce extra information or content without overwhelming the reader.

We’ve put together a couple of best practices that’ll help your FAQ section be extremely helpful for readers:

1. Update your FAQ content

To represent the most up-to-date version and information of the content, FAQs must be kept updated.

In practice, this means you need to be constantly aware of any new product features or company-wide information changes, and be sure to reflect the changes in the FAQ regularly.

2. Maintain your target audience in mind

Make sure the selected FAQs accurately represent your target audience’s questions after reading a blog or business proposal.

The questions should meet the user at their current user stage to truly aid them with helpful information. This will make the experience more authentic and provide your users with the information they want.

3. Keep your FAQs short and sweet

Your FAQ is a valuable resource for everyone looking to find their information quickly and efficiently, so it’s important to ensure everyone can easily find their answers. That means short and concise content that’s easy to understand and skim through.

4. Include relevant resources

Add any helpful resources or links to documentation that’ll further help the customer.

For example, if they’re looking for information on how to use a particular feature, they could add a link to the feature’s help page or a video demonstrating how to use the feature.

5. Leverage long tail keywords

Adding long tail keywords to your content and optimizing your page to the best SEO practices will make your page more helpful to customers looking for a specific query, helping you to draw more targeted traffic to your site.

FAQ content is ready, what next?

Once you’ve published your FAQ content (yay!), it’s time to keep an eye out for customer feedback and queries to survey polls, customer success teams, and online forums.

This will help you to keep your FAQ content up to date and ensure that you’re meeting the needs of your target audience.

Your customer’s insight will be able to guide you through creating a new set of FAQs that’ll improve their user journey and educational experience. By doing so, you can be sure that your FAQ page is providing the most value to your customers and help you to attract more targeted traffic to your site.


AI-generated content FAQ

How does Writer generate content?

Our content generation capabilities are powered by our family of large language models — specifically, deep learning language models trained to generate text. It’s trained on over 300 billion tokens of text data, and the size of the resulting model is over 20 billion parameters. From training, it can understand how language is stitched together and constructed, predicting what might come next given a question or input.

Where does the data for the model come from?

The 300 billion tokens come from open source and public domain text. This includes corpuses of text such as Common Crawl (an extremely large body of text crawled from the web and maintained by the NLP community), books, and a complete copy of Wikipedia.

How does customization and tuning work?

To customize the outputs, we rely on best-in-class examples from you. This can be just one to two examples, or thousands of examples. With examples, our model can better understand the context in which it’s writing content, making the output more in-line with your domain. Writer can also pick up on language and tone patterns, better matching your style.

What does Writer do with the custom training data I provide?

If you decide to train Writer with your custom data, that data will only ever be usable in your version of Writer. We will never share your training data or any custom apps you make with anyone.

Who owns the IP to content created with Writer?

You, the customer, own all intellectual property rights to content created using Writer.

Is the content generated by Writer good for SEO?

Google’s algorithms reward original, high-quality content. The content produced by Writer is completely original. Quality is, of course, subjective, but we recommend human team members review output before publishing. Review steps should include checking content structure, fact-checking, and incorporating original insights and information where relevant. Humans and search engine algorithms are unlikely to distinguish AI-generated content if these steps are followed. Read more about AI-generated content and SEO on our blog.

Writer seems to know some details about my company, even before training it on my own data. Where did that come from?

Since our model is trained on public domain text found on the web, the more your company has a presence on the web, the more Writer will know how to generate text based on publicly known company information. If Writer knows nothing or very little about a company, it will generalize based on what it’s seen about other similar companies.

Where does Writer get facts, quotes, and statistics from? How can I verify these as true?

Statistics and facts generated by Writer aren’t necessarily true. The model is suggesting that this is a statement that would fit well in the content, but it has no way to confirm that it’s definitely true. Any facts or statistics you see should be verified by a human editor.

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