5 Ways To Use AI Right Now In Your Marketing Program | CodewithHarsh

5 Ways To Use AI Right Now In Your Marketing Program With CodewithHarsh

Learn how to automate all kinds of tasks with AI and use it as a helper to enhance your marketing activities.

In our previous article, we saw that Artificial Intelligence keeps getting better and better at answering our questions, whatever the topic or field.

Using the GPT-3 technique, I demonstrated that AI can successfully pass SEO multiple-choice tests as well as solve SEO case studies.

There are other, even more advanced, technologies, such as the Deep Minds Gopher, that outperform the GPT-3 in the following areas: humanities, social sciences, medicine, science, and mathematics.

The following graph throws light upon the accuracy of answers provided by Gopher, UnifiedQA, GPT-3, and a human expert.

AI Marketing

Depending on the subject, we can see a narrow difference between AI and expert level.

It also suggests that AI can potentially exceed the level of a non-expert individual.

Currently, AI can be a useful helpful resource for many marketing topics.

Let's take a look at how to work with AI and more importantly, how to integrate it into your business.

5 ways to interact with AI tools

We will focus on the main methods of interaction to successfully establish an AI-human connection.

1. Using Your Web Browser

The most interesting type of interaction is to plug the AI ​​into your back office or into your web browser with a Chrome plugin.

There are many potential applications, as you will be able to help your users with advanced projects such as document classification, writing aids, meta-tag generation, text extraction, and even suggesting new topics.

You can ask the AI ​​from your tools to perform specific tasks through a simple JavaScript call.

If your back-office supports Javascript and you have experienced developers, it has never been easier to integrate advanced AI features.

To test this initial connection, build a Chrome plugin designed for experts to evaluate AI on its ability to correctly respond to certificates.

Use a Chrome extension that enables optical character recognition to capture any type of text to accomplish this.

Then, take advantage of a separate Chrome plugin that modifies the page's CSS to make the page as understandable as possible.

In an example exercise, we assigned each answer on a multiple-choice test to the corresponding letter.

Then, with the last 20 lines of code, we sent instructions to the AI ​​to generate the result in a text field.

With this program, which is called "Asimov's test", AI managed to pass several certifications.

I then took the AI ​​test on the subject of medical science and scored above 60%, without any previous training in a specific discipline.

It confirms that by choosing your topic correctly, the results produced by AI can help your teams improve their day-to-day work.

2. Using Your Data Visualization Tool

Over the past few months, tools that generate documentation or facilitate code writing have begun to appear.

One notable use case is to generate a dashboard or SEO tool with only instructions.

Now there are open source tools like Stream light which have very advanced components in data visualization or data manipulation.

By providing the proper instructions, it is easy to request the creation of an app that interacts directly with your data.

For example, you can generate a web application with a complete interface and functional code.

This practice is fairly recent, as we use language models that are fed exclusively with computer code. And again, the results are quite impressive.

In the following graph, you can see all the most popular code generators and the data they were created with.

CodePart:- 50 GB.
GPT:- 3 Codecs: 159 GB.
Encoder:- 216 GB.
Polycoder:- 249 GB.
Alpha code:- 715.1 GB.
CodeGen:- 1.38 TB.

It is possible to generate applications in multiple languages; The main ones are Java, C, JS, and PHP.

Most Popular Code Generator Image via Huggingface.co, June 2022
Whether you're a novice or an expert, I encourage you to give it a try - as AI can build your SQL queries or your graphs in seconds.

The practical use is important if you want to make better use of your favorite tools.

3. Using Chatbots

By carefully defining the function it should play in the instructions, you may also build a chatbot to respond to really specific questions.
Here, I ask the chatbot to respond as if it were a doctor, while also using kindness and a touch of humor.

Therefore AI-based chatbots can provide personalized advice and recommendations based on customer preferences. Don't hesitate to tailor the AI ​​to respond in a particular way.

A great example is Danny Richman, who created an AI version of Google's John Mueller called Muellerbot.

This bot builds on the above principle to answer SEO questions as if John Mueller were answering them himself.

This is both funny and disturbing, as the answers can be quite accurate.

4. Using the AI ​​Assistant Program

Last but not least, AI helpers for SEO are applications that run in the background and make SEO corrections when a website is badly coded or contains common mistakes.

The first such application dates back to 2016 when Facebook was implementing bug auto-fixes with Getting fix.

Based on all the bugs that have been fixed in the past, the assistant generates an improvement template that is applied and reviewed by a human before being rolled out.

This applies a lot in SEO, where we know concerns about meta tags title, description, pagination, and links are common problems.

To do this, you can use GPT-3 in edit mode and modify SEO pages using the appropriate instructions.

Below are my instructions:-

• Add a title with the H1 tag at the beginning of the text.
• Add a link to the most important word in the body of the text.
• Use to create useful outlinks at the end of the text.
• Add a YouTube video to the body of the text.
• Keep the top five concepts in bold.
• Modifying SEO pages with AI

If we study the generated text, we can see that the results are excellent: the H1 title summarizes the article, the words in bold are accurate, and the YouTube video and outbound links are relevant to the topic.

AI. text generated using
In short: your AI assistant can save you a lot of time.

Just a note: links are all dummy links, but you can connect everything to the linked database and use a mapping table to replace LINK1 with the link in your database or CSV file.

Now, you can appreciate the ability to automate these types of tasks.

Now that you know the different ways to link a language model to your existing tools, feel free to apply the methods that work best for you, such as:-

• Chrome Plugin.
• Directly in your CMS.
• Through a chatbot.
• Data visualization.
• AI Assistant.

5. Customer Targeting and Development of Buyer Personas

Every customer segment is different - wildly different in fact. They hold various ideals, convictions, emotions, and life experiences.

Sending the same message to all your customers is a surefire way to drain your budget. Marketo found that 78.6% of the more than 2,200 consumers surveyed "said they were most likely to engage with a brand using coupons or other offers only if those promotions are related to how directly associated with that brand." " In other words, consumers want personalization.

AI can detect which customer profiles generate the highest engagement and conversions. It can tell you customers' location, age, equipment, behavior, etc.

The first step in adopting AI software for this purpose is to ensure that your current and past campaigns are integrated. Also include customer data from tools like Google Analytics. This gives the software as much data as possible to find the audience with the highest conversions.

Second, be patient.  Test any new customer profiles that you find. Target these segments in new campaigns, and conduct an audit to determine if they have high conversions and key performance indicators (KPIs).

You can use this data to retarget audiences with whom your brand's product and message resonate.

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