---
title: "Using AI in B2C and B2B Marketing"
description: "How is AI used to produce content, visuals and video in B2C and B2B marketing? This guide covers the most popular AI tools, use cases and leaders’ perspectives"
url: https://www.faprika.com/en/blog/using-ai-in-b2c-and-b2b-marketing
language: en
site: Faprika
---

# Using AI in B2C and B2B Marketing

> How is AI used to produce content, visuals and video in B2C and B2B marketing? This guide covers the most popular AI tools, use cases and leaders’ perspectives

The uses of AI are incredibly broad; when it comes to marketing, however, AI has become almost synonymous with content creation. This brings the similarities and differences between B2C and B2B into sharp focus.

Key Takeaway

AI offers a wide range of uses in both B2C and B2B marketing, from content creation to visual design; what makes the difference is for what purpose, how and how deeply it is used.

## Uses of AI in B2C and B2B Marketing

**1. Improving Content Quality**

Whether B2C or B2B, one of the most common uses is content checking.

According to survey results, 53.87% of marketers actively use AI for the following tasks:

- Correcting spelling errors

- Adapting tone

- Accessibility review

- Offering writing suggestions

Reviewing a text and polishing it is as time-consuming as creating it.

**2. Copywriting**

- **B2C teams** turn to AI more for high-volume content production to quickly meet multi-channel needs such as social media, email and advertising.

- **B2B teams**, on the other hand, have to produce more technical and comprehensive content, so they use AI for **structuring rather than speed**. For example:

- Outlining the content structure

- Organizing ideas

- Creating the first draft

**3. Visual Content Creation**

AI no longer just writes; nearly half of marketers also use AI tools for **visual creation**.

In this area **B2C brands lead**, because visuals are often more critical for them than text:

- Social media posts

- Digital ads

- Telling the brand story

All of them need striking visuals, and AI meets this need quickly.

**4. Summarizing Texts into Key Messages**

**‍** This is an area where AI can be an excellent helper.

- **For B2C:** Producing short, attention-grabbing descriptions, headlines and newsletter intros

- **For B2B:** Turning long reports and webinar summaries into executive briefing notes or adapting them into LinkedIn content

**5. Reshaping Content by Format and Target Audience**

Say you shot a customer video. You need to turn the same content into:

- A blog post,

- An opinion piece for LinkedIn,

- A video ad script.

This is where AI is very strong. Both B2C and B2B use AI to reformat their content this way.

It is not just about changing format; **adapting content to the target audience** matters too:

For example, you can rewrite a men’s fashion trend piece for women readers while keeping the same message.

The meaning does not change, but the language, tone and focus do.

About 40% of marketers apply this use case.

**6. Multilingual Content Creation**

Global campaigns are now more accessible.

35% of brands actively use AI to translate and localize content into different languages.

- **B2C brands** use it mostly for product pages, ad copy and help documentation.

- **The B2B side** uses it for international landing pages, technical documents and product description content.

Human review is still needed, but AI provides a significant speed and cost advantage here.

Tip

Content Quality and Copywriting

While B2C focuses on fast, multichannel content production, B2B uses AI for more technical, structured and long-term content.

## The AI Tools Most Used by B2C and B2B Brands

When marketing teams are asked, "How does your company support AI adoption?", the most common answer is:

**Providing subscriptions to AI tools**, and this is not the choice of just a few companies. This trend is **seen in B2B and B2C brands at almost equal rates.**

This gives us a clear message:

**Whatever their target audience, brands are investing seriously in AI.**

So which AI tools do marketers use the most in their daily work?

**1. Visual and Design Creation Tools**

This is the most widely used tool category. More than 40% of marketers actively use it.

**B2C teams are a step ahead here**, because their storytelling relies more on visuals.

The most used ones are:

- **DALL·E**

- **Canva AI**

- **Midjourney**

With these tools:

- Generating images from text

- Preparing campaign visuals

- Creating different creative versions becomes possible.

**2. General-Purpose Chatbots**

Chatbots such as **ChatGPT, Google Gemini and Microsoft Copilot** come second.

Why? Because they can be used for almost any task:

- Generating ideas (brainstorming)

- Drafting text

- Writing

- Summarizing content

- Quick research

Whether B2C or B2B, everyone uses these tools to speed up the content production process.

**3. Smart Video and Audio Editing Tools**

Video content is currently the star of digital marketing.

The good news is that impressive videos can now be produced without a professional studio.

At a rate of 36%, marketers actively use these tools.

**B2C is slightly ahead here**, because video content consumption is heavier on the consumer side.

The most used tools are:

- **Descript**

- **Runway**

- **Pictory**

- **Wisecut**

With these tools you can:

- Automatically remove filler words

- Add subtitles

- Remove background noise

- Correct lighting

- Produce short clips from long videos

**4. Voice and Narrator Generation Tools**

These tools can produce **human-like voiceovers** in different languages, tones and styles.

Without needing a professional studio, you can create video ads, product presentations or training modules.

Popular tools:

- **Murf**

- **Speechify**

- **Soundraw**

The range of uses is very wide:

- In-app guide voices

- Product tours

- Training videos

- Slide presentations

- Podcast-style content

- Ad spots

**5. Smart Image Editing Tools**

Say you have a photo of your product, but that image doesn’t fit the spirit of the campaign.

Do you need to change the background to white? Or perhaps add a seasonal touch?

This is where **AI-powered image editing tools** come in.

More than 30% of marketers use these tools:

- **Photoshop (AI-powered)**

- **Fotor AI**

- **Luminar** and similar tools

What does it do?

- Image enhancement

- Retouching

- Resizing

- Background removal

- Color tone adjustment

Being able to do all of this in a few clicks significantly shortens content production time.

Tip

B2C Leads in Visual and Video Production

Because B2C brands focus on social media and advertising, visuals are critical for them; as a result, they use AI-based image and video tools more intensively.

## What Do B2C and B2B Leaders Think About AI?

Marketers may use AI tools every day. But there is also the leadership side. How executives view this technology determines how widely AI will be adopted at the corporate level.

**1. They want control, not just a tool**

When asked “Why does your company invest in AI?”, the most common answers were:

- **23%:** Having more control over data privacy and security

- **22%:** Being able to customize AI to their own needs

- **20%:** Gaining a cost advantage

There is almost no difference between B2C and B2B. This shows that leaders do not just want to use AI; they also want to integrate it **into the core of their business processes**.

In other words, instead of seeing it as a “shiny toy” from outside, they are trying to make it **a part of the system**.

**2. They see the potential but remain cautious**

About **35% of leaders** **somewhat agree** that AI will contribute significantly to scaling their business.

But here is the interesting part: the second most common answer was “**neither agree nor disagree**”. So almost 29% are still **undecided**.

This tells us that leaders are **interested** in AI, even **hopeful**, but most are not yet fully convinced.

- Perhaps they have not yet clearly seen the return on investment

- Or perhaps they do not want to take risks because the technology still seems too volatile

**3. Is AI as big as the Industrial Revolution? Answer: Maybe.**

Executives were asked: “Will AI bring a transformation in human productivity on the same level as the Industrial Revolution?”

**Around 35% somewhat agree**.

But again, **27% are neutral**, meaning they are not entirely sure.

This shows that:

Everyone is aware that AI has great potential, but they want to see **lasting productivity gains**. They expect not just faster content production but **real impact across departments**.

**4. Overreliance is the red line**

**65%** of leaders believe AI should support employees’ roles, but that **overreliance is dangerous**.

This is one of the most widely shared views among both B2B and B2C executives.

Why?

Because it is great that AI automates repetitive tasks, but:

- Critical thinking

- Creativity

- Human intuition

These are still possible with people, not machines, and people are still at the heart of marketing.

Tip

Leaders’ Cautious Approach

AI investments deliver efficiency, but executives stress that human creativity is still central; they see overreliance as risky.

**5. Return on investment is positive but marginal**

Most leaders rate the return on their AI investments as **“somewhat positive”**.

- **43%** are satisfied with their investments

- Only **around 30%** say the returns are “very positive”

This means: AI works, but it has not yet delivered a “game-changing” performance.

Companies generally use it to:

- Speed up workflows

- Increase efficiency

- Achieve small but valuable gains.

No one is giving up on AI, but everyone is taking cautious steps.

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## AI Does Not Belong to One Type of Marketer

**AI has no target audience.**

**‍**It is not just for:

- Someone who writes blog posts,

- Someone who prepares technical documents,

- Someone who runs viral campaigns.

**It is a tool for anyone who wants to be creative, produce quickly and stay in the game.** How you use it, which tools you choose, and what you automate versus keep manual is **what makes the difference**.

## Frequently Asked Questions (FAQ)

**Can AI Really Make a Difference in B2C and B2B Marketing?**

Yes. AI speeds up content production, makes data analysis easier and enables personalized campaigns in both B2C and B2B marketing. In B2C, fast, visual-led content production comes to the fore, while on the B2B side AI stands out in preparing more technical and strategic content.

**In Which Areas Do Marketing Teams Use AI the Most?**

Marketing teams use AI most for content creation, visual design, text summarization, multilingual content translation and video editing. This speeds up production and lowers costs.

**Do AI Tools Lower Brands’ Marketing Costs?**

Yes. AI tools automate routine, time-consuming tasks and reduce the need for labor. This leads to significant savings, especially in costly processes such as content creation, image editing and campaign management.

**Are Different AI Tools Used for B2C and B2B Marketing?**

The tools are mostly similar, but they are used differently. B2C brands turn to tools focused on visual and fast content, while B2B brands prefer tools for outlining text, producing technical documents and preparing long-form content.

**Is AI-Generated Content Reliable?**

AI produces content quickly but does not guarantee full accuracy. That is why human review is essential. Marketers usually create the first draft with AI, then have editors refine it before publishing.

**Does Creating Content with AI Tools Harm SEO?**

No, not when used correctly. In fact, producing quality, original and regular content improves SEO performance. However, duplicate content or excessive automation can be penalized by Google, so human editing is important.

**Can Small Businesses Also Benefit from AI?**

Absolutely. Because AI tools are now offered at low cost and on a subscription basis, small businesses can also use them easily for areas such as social media content, email marketing and product promotion.

**Will AI Replace Marketing Teams?**

No. AI is only a supporting tool. Human creativity, strategic thinking and emotional intelligence cannot be imitated by AI. That is why AI strengthens teams but does not replace them.

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