Accelerate Your Marketing Copy Creation with AI Agents

Crafting marketing copy demands considerable time and creativity, resources that early-stage startups often lack. Imagine streamlining this process through automation, enabling you to produce marketing copy swiftly with the help of AI tools. This article delves into the utilization of AI agents to expedite your marketing copy creation, offering support in your promotional endeavors.

What are AI agents?

AI agents are software programs that can perform tasks autonomously. They can understand their environment, take actions, and make decisions to achieve their goals. AI agents can be used to perform a wide range of tasks, from simple to complex. They can be used to automate repetitive tasks, collect, and analyze data. AI Agents are powered by Large Language Models (LLMs) like GPT-4 from OpenAI.

Here are some examples of tasks that AI agents can perform:

• Browse the web and collect data
• Software development
• Analyze data and generate insights
• Create marketing copy using a workflow

Let's focus on the last example: creating marketing copy using a workflow.

How to use AI agents to create marketing copy faster

For this example, we'll use CrewAI, a framework that allows you to create AI agents to automate any task. CrewAI is built on top of OpenAI's GPT-4 and provides a simple and intuitive SDK to create AI agents.

What is CrewAI?

CrewAI is a:

Cutting-edge framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.

Getting started with CrewAI

To get started with CrewAI, you need to install the package using pip, along with the duckduckgo-search package, which is used to search for information on the web.

pip install crewai langchain-community langchain-openai duckduckgo-search

Once you have installed the package, we can start working on our marketing copy AI team.

Setting up your crew

First, we need to create a new AI agent. We can do this by creating a new Python file and importing the necessary modules.

import os
from crewai import Agent, Task, Crew, Process
from langchain_openai import ChatOpenAI

Let's also initialize the DuckDuckGo search engine.

# Initialize the search tool
from langchain_community.tools import DuckDuckGoSearchRun
search_tool = DuckDuckGoSearchRun()

Next, we need to set our OpenAI API key as an environment variable. You can get your API key from the OpenAI website.

# Set the OpenAI API key
os.environ["OPENAI_API_KEY"] = "YOUR_API_KEY"

Now we can create our AI agents. We'll create four agents, each with a different role:

• Researcher: This agent will be responsible for researching the topic and gathering information.
• Writer: This agent will be responsible for writing the marketing copy.
• SEO Expert: This agent will be responsible for optimizing the marketing copy for search engines.
• Editor: This agent will be responsible for proofreading and editing the marketing copy.

The Researcher

Create a content researcher agent:

researcher = Agent(
    role="Researcher",
    goal="Research for content about identity verification, fraud detection, and KYC in the hospitality industry",
    backstory="""You are an ex-content writer turned researcher.
You have been hired by a Autohost, a company that provides identity verification services to the hospitality industry. 
Your job is to research for content about identity verification, fraud detection, and KYC in the hospitality industry.
Your expertise lies in identifying emerging trends. 
You have a knack for dissecting complex data and presenting actionable insights.""",
    tools=[search_tool],
    allow_delegation=False,
    verbose=True,
    llm=ChatOpenAI(model_name="gpt-4-1106-preview", temperature=0)
)

The Writer

Create a writer agent:

writer = Agent(
    role="Writer",
    goal="Write a blog post about identity verification, fraud detection, and KYC in the hospitality industry",
    backstory="""You are a senior content writer who loves to work with your research and SEO team. 
You have been hired by a Autohost, a company that provides identity verification services to the hospitality industry. 
Your job is to write a blog post about identity verification, fraud detection, and KYC in the hospitality industry.
The company Autohost provided the following Tone of Voice guidelines:

# Tone of Voice

We aim to stand out from our competition. 
We are professional but not corporate. 
Our content and visuals should be like our platform: powerful beyond human capabilities but friendly and easy to use! 
Always keep in mind our customers are busy people without a lot of time. 
Always cut to the chase--no fluff!

- Professional yet Relatable: Position ourselves as industry experts providing actionable advice, while maintaining a warm, human touch. Avoid corporate stiffness.
- Approachable: Make complex topics understandable, minimizing tech jargon but allowing specific industry terms. Cater to a diverse audience, including those without advanced education.
- Trustworthy: Highlight our commitment to cybersecurity through advanced technology, regular updates, and clear communication on risks and solutions. Emphasize our rigorous security validation and adaptive measures against new threats, reinforcing our reliability through proactive customer support.
- Conversational but Respectful: Maintain a friendly and engaging tone, even when discussing serious subjects. Achieve a balance between being informative and accessible, ensuring professionalism and respectfulness.

# Language usage

- Use the active voice over passive.
- Always use the Hemingway Editor to make sure our content is easy to read (should be grade 6 or under).
- Write in 2nd person, communicating to the audience.
- Some jargon is fine but the general tone needs to be smart, subject matter expert whilst still being accessible, concise, and pleasurable to read.
- When referring to the author/brand, use "we" not "I".
- The occasional emoji is also encouraged if used tastefully and in moderation.
- Always remember the customer persona. Readers are property management professionals. Don't talk down to the reader.
- No fluff and do not waste their time with generic content.""",
    allow_delegation=True,
    verbose=True,
    llm=ChatOpenAI(model_name="gpt-4-1106-preview", temperature=0.7)
)

The SEO Expert

Create a SEO expert agent:

seo_expert = Agent(
    role="SEO Expert",
    goal="Optimize the blog post for search engines",
    backstory="""You are an SEO expert who loves to work with your content team. 
    Your job is to optimize the blog post for search engines.""",
    allow_delegation=True,
    verbose=True,
    llm=ChatOpenAI(model_name="gpt-4-1106-preview", temperature=0)
)

The Editor

Create an editor agent:

editor = Agent(
    role="Editor",
    goal="Edit the blog post for readability, grammar, and style",
    backstory="""You are an editor who loves to work with your content team. 
Your job is to edit the blog post.
Always use the Hemingway Editor to make sure our content is easy to read (should be grade 6 or under).
Some jargon is fine but the general tone needs to be smart, subject matter expert whilst still being accessible, concise, and pleasurable to read.
Always remember the customer persona. Readers are property management professionals. Don't talk down to the reader.
No fluff and do not waste their time with generic content.""",
    allow_delegation=True,
    verbose=True,
    llm=ChatOpenAI(model_name="gpt-4-1106-preview", temperature=0)
)

Agents Overview

As you can see, we have created four agents, each with a different role and backstory. We have also set the goals for each agent. Here's a quick overview of each parameter:

• role: The role of the agent.
• goal: The goal of the agent.
• backstory: The backstory of the agent (used to provide context and motivation).
• tools: The tools that the agent has access to (in this case, the DuckDuckGo search engine).
• allow_delegation: Whether the agent can delegate tasks to other agents.
• verbose: Whether the agent should provide verbose output.
• llm: The Large Language Model (LLM) that the agent should use (in this case, GPT-4).

Now that we have created our agents, we can create the tasks that they need to perform.

Research Task

Create a research task:

research_task = Task(
    description="""Research for content about identity verification, fraud detection, and KYC in the hospitality industry.
Identify key trends, consequences of not using some form of screening and the benefits of using a service like Autohost.
Your final answer MUST be a full analysis report.""",
    agent=researcher,
)

Write Task

Create a writing task:

write_task = Task(
    description="""Using the insights from the research, write an engaging blog post about identity verification, fraud detection, and KYC in the hospitality industry.
Your post should be informative yet accessible, concise, and pleasurable to read.
Focus on the hospitality industry and the rapid changes it is undergoing.
Do not make this a sales pitch about Autohost, keep it informative and educational.
Make it sound cool, avoid complex words so it doesn't sound like AI.
Your final answer MUST be the full blog post of at least 4 paragraphs.""",
    agent=writer
)

SEO Task

Create a SEO task:

seo_task = Task(
    description="Optimize the blog post for search engines",
    agent=seo_expert
)

Rewrite Task

Rewrite the blog post based on the SEO recommendations:

rewrite_task = Task(
    description="""Rewrite the blog post based on the SEO recommendations.
Your final answer MUST be the full blog post of at least 4 paragraphs.""",
    agent=writer
)

Editing Task

Create an editing task:

edit_task = Task(
    description="""Edit the blog post for readability, grammar, and style.
Your final answer MUST be the full blog post of at least 4 paragraphs.""",
    agent=editor
)

We have created five tasks, each with a description and an associated agent. The description provides the agent with the context and requirements for the task.

Now we can form a crew with our agents and tasks.

#
# Create a crew
#

content_team = Crew(
    agents=[researcher, writer, seo_expert, editor],
    tasks=[research_task, write_task, seo_task, rewrite_task, edit_task],
    process=Process.sequential
)

We have created a crew called content_team with our agents and tasks. We have also specified that the process should be sequential, meaning that the tasks will be performed in order.

Finally, we can run the crew and see the results.

#
# Kick off the crew
#

result = content_team.kickoff()

# Print the result
print("\n\n##########################\n\n")
print(result)

When you run the crew, the agents will start performing their tasks, and you will see the output printed to the console. The result will contain the final marketing copy, optimized for search engines and edited for readability, grammar, and style.

Kicking off the crew

In this example we can see the researcher agent performing the research task.

Next, the writer agent will perform the writing task and pass it to the SEO expert agent.

The SEO expert agent will then optimize the blog post for search engines. The writer agent will then rewrite the blog post based on the SEO recommendations.

Finally, the editor agent will edit the blog post for readability, grammar, and style.

The final output will be the marketing copy, optimized for search engines and edited for readability, grammar, and style. You can then use this marketing copy, edit it further, or use it as a starting point for your marketing efforts.

Final marketing copy

Here's a snippet of the final marketing copy generated by the AI agents:

Identity Verification in Hospitality: Protecting Your Guests and Business from Fraud

Hello, hospitality professionals! Today, we're tackling identity verification, fraud detection, and KYC—straight to the point for the busy bees. 🕵️‍♂️✨

The Rise of Digital Identity Checks

In hospitality, first impressions and security go hand in hand. Digital identity verification is your safeguard. Envision smooth check-ins, impeccable guest experiences, and a full stop to fraudsters. This is what modern identity verification tools offer.

Cybersecurity threats are ever-changing, but so are the solutions. With AI and ML, fraud can be detected in real time, keeping the guest experience hassle-free. Regulatory changes are also shaping the need for stronger security. But it's not all about dodging threats; it's about unlocking benefits like improved guest satisfaction, efficiency, and valuable data for personalization.

Screening: A Non-Negotiable Step

Skipping guest screening can lead to financial losses, damaged reputations, and severe compliance penalties. It's a risk you can't afford. Implementing comprehensive identity verification services like Autohost fortifies your business while maintaining a welcoming atmosphere for guests.

The Autohost Advantage

Autohost isn't just about the technology; it's about partnership in crime prevention. We offer thorough security checks that stay ahead of threats, and our platform is intuitive—robust yet easy to use.

Conclusion and Call to Action

Trust is the foundation of guest relations. We're here to help you strengthen that with every check-in. Consider Autohost for a more secure, efficient guest management system. Click here to start enhancing your security measures. 🚀

Together, let's ensure happy guests and a secure business. It's a win-win.

P.S. Share this if it's been useful, and keep an eye on your analytics—we will too.

Autohost

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