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You don’t have to be a computer science genius to know that Generative AI is the future of mankind!

Despite all the concerns that surround this upcoming technology, its versatility cannot be questioned.

Unlike conversational AI, Generative AI isn’t limited to creating conversational outputs.

Generative AI is a type of artificial intelligence that can create content in all forms. Be its text, image, audio, and even video-based content, generative AI can generate all. Therefore, although still under development, it has revolutionised content creation and consumption.

Generative AI for Marketing

With the potential of creating engaging and relevant content, generative AI has become an important part of marketing. And, when it comes to marketing, we can’t help but think about Google’s take on it.

Hence, the focus of this blog is to explore Google’s Generative AI tools for marketing and businesses.

But, first, let’s see why Google is an important platform for marketers.

Google – A Marketer’s Most Reliable Source

Google Generative AI for Marketing

Google is the most popular search engine globally and thus, the largest online advertising platform. It provides marketers with various tools and resources to reach their target audience. These tools allow you to make targeted ads, measure the performance of these ads, and create and manage (relevant) campaigns.

Some of the most widely used tools offered by Google are search engine marketing (SEM), display advertising, YouTube advertising, and social media advertising.

With these, Google’s generative AI for marketing is the perfect recipe for an improved ROI.

Before we start discussing the hows and whys of Google’s Generative AI for marketing, let’s understand the benefits of Generative AI for marketers.

Generative AI for Marketing

Generative AI for businesses is no less than a good luck charm.  Since its inception, the technology has been helpful in almost every sector. Marketing is no different.

The following are multiple benefits of using generating AI in marketing.

  1. Increased Personalization

The varied data source used to train Generative AI enables you to create personalised content. This can be tailored keeping your customers’ interests and needs in mind. With generative AI for marketing strategies, all your customers feel unique driving more conversions for you.

  1. Improved Ad Targeted

Generative Ai is equipped to analyse consumers’ search history data. This enables it to understand consumer interests and behaviour. When your marketers have such vital data they can create ads relevant to their target audience.

  1. Automated Content Creation

The above-mentioned features provide ample data for generative AI to executive content creation. These (blog posts, articles, and even social media posts) are targeted and personalized based on consumer interests.

When you let generative AI take care of content creation, your agents have the time to focus on strategy development and campaign management.

  1. Improved Engagement

A brilliant example of generative AI in marketing is the creation of engaging content as it is equipped with brand as well as generic data. You get access to better templates, designs, and catchy slogans, making your content more likely to be shared and interacted with.

Thus, generative AI increases your brand’s awareness and drives more traffic to the website.

  1. Reduced Costs

The summation of all the above points deems generative AI as an all-rounder. It can create, manage and automate daily tasks for your agents. This means reduced manual power thereby helping you create more cost-efficient campaigns.

Limitations of Generative AI in Marketing

Despite its benefits, Generative AI isn’t an all-rounder. Being a technology in development, it faces challenges more easily than you think. However, developers around the world, and Google especially, have various solutions for these limitations.

Let’s have a look at the common challenges faced by Generative AI in businesses’ marketing approaches.

  1. Need for High-quality Data: Generative AI models must be trained on large amounts of high-quality data to produce accurate and relevant results. This is particularly challenging for startups or small-scale businesses that do not enjoy excess to such large data.
  2. Potential Biases: Generative AI, although intelligent, derives its knowledge from the data they are trained in. This may become a  significant issue as it can result in discrimination or even misinformation.
  3. Lack of Transparency: Generative AI models are driven by a combination of technologies. This can make it difficult for one to understand how they work. This is known to raise questions about its accuracy and reliability.

However, this doesn’t mean we shy away from utilising its multiple benefits!

Let’s see how Google overcomes these challenges.

Google’s Approach to Making the Best of Generative AI

Google has seen multiple turning points in advertising history. From the launch of mobile phones to the launch of generative AI – marketers have always figured out ways to make the best out of uncertain times.

Over the years, it emerged as marketers’ most reliable source. From understanding common queries to knowing your competitors’ reputations, Google offers it all.

This further encouraged Google to jump into the current Generative AI tool trend. 

And, before the launch of its take on marketing tools, Google ensured to bridge the already existing gaps.

Here is how Google’s generative AI tools offer a refined algorithm.

  1. Uses a variety of data sources to avoid bias and misinformation. Google also uses data from different demographics, regions, and industries to reduce any potential discrimination.
  2. Compatible with traditional marketing tools such as SEM, display advertising, YouTube advertising, and social media advertising. This increases the flexibility of Google’s generative AI.
  3. Allows regular monitoring of the results yielded by using generative AI tools to allow marketers to understand what’s working and what’s not.

Google’s Generative AI for Improved Marketing

Here is a list of 5 Google Generative AI for marketing. These are specially curated for marketers and claim an easy ladder to all the benefits mentioned above.

  1. Google’s Product Studio

Product Studio is an Ai-based image creator.

It allows businesses to create visually appealing and engaging product images that can bring in more leads. While it may not replace your designers, it can certainly add to their database and come in handy in case of an imagination block!


  • Create images for existing and upcoming products
  • Generate engaging images for marketing campaigns
  • Targeted image creation for different channels
  • Create SEO-optimizable and friendly images

Here is the guide on Google Product Studio.

  1. Search Generative Experiences (SGE)

SGE is one of the latest and most useful features launched by Google. It uses generative AI to provide more personalised and relevant search results. With this, your brand can easily reach its target audience and drive desired traffic to the website.

SGE analyses a user’s search history, interests, and demographics.

This is done to determine the kind of content the user is more likely to engage with. This data is used to create a personalised search result, i.e. results tailored to individual user needs.


  • Deep understanding of the target audience
  • High-quality content generation
  • Access to relevant keywords
  • Create personalised landing pages, emails, and social media posts

Click here to access Google’s guide on Google SGE.

  1. Performance Max Campaigns

Performance Max campaign is Google’s new campaign type which allows easy access to the target audience. It takes Google’s entire inventory under consideration including Search, Display, YouTube, Gmail, and Discover. These are specially designed to help marketers achieve their desired advertising goals.

So, if you’re looking to improve your website traffic or generate leads and increase sales, Google’s Performance Max campaign is just the tool for you!


  • One dashboard to manage ads across all platforms
  • Ads reach a wider and more targeted audience
  • Increased efficiency of marketing campaigns with machine learning
  • Increased visibility across Google’s ad inventory

You can know more about Google’s Performance Max campaign here

  1. Automatically Created Assets

As the name suggests ‘Automatically Created Assets’ are primarily to copy existing assets. 

It enables you to recreate copies and images with the help of your existing website.

Google’s Automatically Created Assets uses machine learning to generate headlines and descriptions for your responsive search ads. Your marketers can save the time and effort spent in creating ad copies and focus on other important tasks.


  • Improved ad performance with machine learning algorithms
  • Increased flexibility for ad targeting due to combined (manual + AI) ad copies
  • Saves time and increases agent efficiency

Know all about Automatically Created Assets here

  1. Chatbot

Now this is probably the most important and easy feature for marketers!

Google Chatbot is a software program before anything else. Its primary usage, like any other chatbot, is to simulate human-like conversations. Commonly known as Conversational AI or AI chatbots, these are powered by artificial intelligence and natural language processing. The two technologies combined allow Google chatbots to understand and naturally respond to human language.


  • 24/7 availability support and service availability
  • Google chatbots can be personalised to your specific needs
  • A cost-effective way to provide customer service
  • Quick and easy resolution to customer queries

In conclusion, Google’s generative AI tools offer numerous benefits to marketers. Using these tools enables you to reach a wider audience, effective ad targeting, and measure the results of campaigns. 

If you’re looking for ways to improve your marketing ROI, then Google’s generative AI is your one-stop solution for all your needs.

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