How to use AI to answer frequently asked customer questions

Every business receives frequently asked questions.

• “What are your opening hours?”
• “How does the service work?”
• “What payment methods do you accept?”
• “Do you deliver?”
• “How can I book?”
• “Is this product available?”

The problem isn't that your customers have questions.

The problem is having to answer the same questions over and over again, every day.

For a long time, companies have tried to solve this with FAQ pages, documents, help centers, and canned responses. These solutions can still be useful, but there is an important difference between having an answer available and making that answer easy to find.

This is where AI can change the experience.

Instead of asking customers to search through a page, open a document, or navigate through different menus, you can let them simply ask a question.

In this article, we'll show you how to use AI to answer frequently asked customer questions, what content you can use, and how to create this kind of experience with Attlas.

Why use AI to answer frequently asked questions?

Answering frequently asked questions manually seems simple.

One question. One answer.

Until it appears for the tenth, twentieth, or hundredth time.

Besides the time your team spends answering, there is another problem: customers have to wait for someone to answer a question the company already knows the answer to.

The information probably already exists somewhere:

• On your website
• In a PDF
• In a catalog
• On an FAQ page
• In an internal document
• In a company policy
• In a presentation
• Or even in a previous conversation

The challenge is turning all that information into something customers can access easily.

An AI Chat can do exactly that: use the knowledge you already have to answer questions in a conversation.

How does an AI chat for frequently asked questions work?

The logic is simpler than it seems.

You provide the chat with the information it needs to know and define how it should communicate with your visitors.

When someone asks a question, the chat uses that knowledge and generates an answer based on the content you provided.

For example:

Customer:

Do you deliver on Saturdays?

AI Chat:

Yes. Saturday deliveries take place from 9 AM to 2 PM...

Instead of searching for this information on a page, the customer gets the answer directly in the conversation.

And this can work for hundreds of different questions.

What do you need to create an AI chat for your customers?

You don't need to build a knowledge base from scratch.

In fact, the best place to start is with the content your business already has.

You can use:

• PDFs and documents
• Web pages and websites
• Text
• Images
• Videos
• Audio

Attlas lets you add different types of content and use them as knowledge for your AI Chat. The content is automatically processed so the chat can use it during conversations.

This means you don't need to manually turn all your content into dozens of questions and answers.

Add the knowledge. The chat learns from it.

How to create an AI chat to answer your customers with Attlas

With Attlas, you can turn your own content into an AI Chat without coding or building a chatbot from scratch.

The process starts by adding the content you want Attlas to know.

Then, you can configure how it should communicate, including its personality, tone of voice, and limits.

From there, your chat can be shared through a single link or embedded on your website.

1. Add your knowledge

Start with the content that already answers your customers questions.

This could be your website, documentation, catalog, policies, manuals, PDFs, or other materials.

The more relevant the content, the more context Attlas has to answer questions.

2. Configure the experience

Getting the answer right isn't enough.

The way the answer is presented matters too.

With Attlas, you can define your chat's personality, tone of communication, and limits.

This allows the experience to feel closer to the way your company actually communicates.

3. Add conversation starters

When someone opens your AI Chat for the first time, it’s important to guide the conversation and show them where to start.

That’s why Attlas lets you add Triggers: interactive buttons that act as starting points for the conversation.

You can use Triggers to highlight important questions, links, content, or actions.

For example, a clinic could start with:

“Which health insurance plans do you accept?”

“What treatments do you offer?”

“How can I book an appointment?”

Instead of leaving visitors to decide what to ask on their own, you can show them a few possibilities and invite them to start interacting.

Triggers help create a clearer, more dynamic, and more engaging experience from the very first interaction.

4. Share your Attlas

Once your chat is ready, you don't have to limit it to your website.

The same Attlas can be shared in different places:

• On your website
• In your bio link
• On WhatsApp
• In emails
• In presentations
• Through a QR Code

Wherever a link can be shared, your Attlas can be shared too.

Where can you use an AI chat to answer customers?

One of the advantages of using an AI Chat based on your own content is that it doesn't have to be tied to a single channel.

On your website

This is probably the most obvious application.

You can add Attlas to your website and let visitors ask questions directly while they explore your business.

Instead of searching through an FAQ page, visitors can simply ask:

“Which plan is best for a small business?”

In your bio link

Not every business relies on a website.

Creators, artists, freelancers, and small businesses often use Instagram or TikTok as their main point of contact.

In that case, Attlas can work as both a link-in-bio page and an AI Chat.

Visitors can find your links, content, and information in one place and also ask questions about you or your work.

On WhatsApp and other channels

Your Attlas can also be shared directly in messages.

For example, a company could send:

“Have a question about our services? Ask here.”

Instead of sending a long list of information, you send a single link to a conversational experience.

Through a QR Code

This can be especially useful for physical experiences.

• A restaurant can place a QR Code on the table.
• An event can place one at the entrance.
• A store can put one on its packaging.
• A museum can place one next to an exhibit.
• The person scans it and starts asking questions.

Knowledge that was previously sitting inside a document or on a page becomes available through a conversation.

What types of questions can an AI chat answer?

This depends on the content you add.

But some common examples include:

Product Information

“Is this product available?”

“What's the difference between the two models?”

Services

“What's included in this service?”

“How long does it take to complete?”

Support

“How do I cancel?”

“What is your return policy?”

Location and Opening Hours

“What are your opening hours?”

“Are you open on Saturdays?”

Content

“Which course should I start with?”

“Where can I find the material about this topic?”

See how it works in practice with Attlas’ own AI Chat below:

Scheduling

With the Google Calendar integration, Attlas can also check availability and allow visitors to schedule an appointment directly through the conversation.

What if a customer asks a question you didn't expect?

This is one of the most interesting parts of using an AI Chat.

You're not just automating answers.

You're also discovering what your audience wants to know.

The questions people ask Attlas can reveal:

• Which topics come up most often
• What information people are looking for
• Which products generate interest
• Which questions your content doesn't answer well enough yet
• Which questions you never expected to receive

Attlas Analytics lets you track conversations, frequently asked questions, and other information about visitor behavior.

This turns customer questions into a source of information you can use to improve your own content.

And when Attlas can’t find an answer in the knowledge you’ve provided, it doesn’t make one up.

It lets the visitor know that it doesn’t have that information, keeping its answers grounded in the content you provided and preserving the accuracy and integrity of your company’s information.

Attlas doesn’t need to have an answer for everything. It needs to know when it has an answer, and when it doesn’t.

Can AI replace an FAQ page?

In many cases, it can.

A traditional FAQ works like a list:

Question → Answer

An AI Chat changes the logic to:

Person → Question → Conversation → Answer

That doesn't mean an FAQ page no longer has value.

But when there is a lot of information or many possible paths, a conversation can be a simpler way to reach the right answer.

And you don't have to choose just one.

Your website can stay.

Your documentation can stay.

Your FAQ can stay.

Attlas can work as a conversational layer over all that knowledge.

Why use Attlas to answer frequently asked questions?

Attlas was created specifically to turn existing knowledge into a conversational experience.

You add your content, configure how the chat should communicate, and share the experience wherever you want.

Beyond answering questions, Attlas can also:

• Capture leads
• Schedule appointments
• Work across different languages
• Connect different knowledge sources
• Allow human handoff
• Display information through triggers
• Help you understand what your audience is asking through Analytics

And you can get started without coding.

The goal isn't to create another chatbot

It's to make the knowledge your business already has easier to access.

Because your customers don't necessarily want to read all your documentation.

They want to know:

“What's the answer to my question?”

And when that answer already exists inside your company, maybe the best approach isn't to create another page. Maybe it's simply to let your knowledge answer.

Create your AI chat with Attlas

Add your content, configure your chat, and share it with your customers.

Turn frequently asked questions into conversations.