4 Useful Ways to Use AI Models for Marketing (That Aren’t Content or Image Creation)
Automate
1 min read
4 Useful Ways to Use AI Models for Marketing (That Aren’t Content or Image Creation)
Automate
1 min read
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Don’t limit yourself to using AI only for content creation. Here are four ways AI modeling can deliver sustainable value for your marketing function.
Don’t limit yourself to using AI only for content creation. Here are four ways AI modeling can deliver sustainable value for your marketing function.
Don’t limit yourself to using AI only for content creation. Here are four ways AI modeling can deliver sustainable value for your marketing function.
ChatGPT can generate headline suggestions and answer questions across any subject you can imagine. DALL-E turns text into detailed, imaginative images. Video generators like DeepBrain and MidJourney can create stunning videos that rival professional production.
With so many tools at your fingertips, generative AI can look like the solution to all of your content creation headaches. But the ease of generative AI has revealed some serious downsides of AI content creation.
Consider these staggering stats supplied by marketing influencer Neil Patel:
In a review of marketing content ranking highly on Google, human-written content outranked AI-generated content more than 94% of the time.
In an audit of 68 websites featuring both AI and human-written content, the average AI article generated 52 visitors per month, compared to 283 visitors for human-written content.
When marketers only value AI modeling for its content creation capabilities, they neglect hundreds of other powerful use cases that can elevate their brand’s performance, streamline expenses, and boost productivity for individuals and teams.
Don’t put generative AI in a box.
If you’re a marketer who’s ignored the broader applications of AI modeling because you’re not sure where to start, you risk falling behind your competition.
Don’t let this happen to you: Read on to learn four specific ways AI models can help you and your broader team improve your processes and productivity to enhance your brand’s market perception.
ChatGPT can generate headline suggestions and answer questions across any subject you can imagine. DALL-E turns text into detailed, imaginative images. Video generators like DeepBrain and MidJourney can create stunning videos that rival professional production.
With so many tools at your fingertips, generative AI can look like the solution to all of your content creation headaches. But the ease of generative AI has revealed some serious downsides of AI content creation.
Consider these staggering stats supplied by marketing influencer Neil Patel:
In a review of marketing content ranking highly on Google, human-written content outranked AI-generated content more than 94% of the time.
In an audit of 68 websites featuring both AI and human-written content, the average AI article generated 52 visitors per month, compared to 283 visitors for human-written content.
When marketers only value AI modeling for its content creation capabilities, they neglect hundreds of other powerful use cases that can elevate their brand’s performance, streamline expenses, and boost productivity for individuals and teams.
Don’t put generative AI in a box.
If you’re a marketer who’s ignored the broader applications of AI modeling because you’re not sure where to start, you risk falling behind your competition.
Don’t let this happen to you: Read on to learn four specific ways AI models can help you and your broader team improve your processes and productivity to enhance your brand’s market perception.
ChatGPT can generate headline suggestions and answer questions across any subject you can imagine. DALL-E turns text into detailed, imaginative images. Video generators like DeepBrain and MidJourney can create stunning videos that rival professional production.
With so many tools at your fingertips, generative AI can look like the solution to all of your content creation headaches. But the ease of generative AI has revealed some serious downsides of AI content creation.
Consider these staggering stats supplied by marketing influencer Neil Patel:
In a review of marketing content ranking highly on Google, human-written content outranked AI-generated content more than 94% of the time.
In an audit of 68 websites featuring both AI and human-written content, the average AI article generated 52 visitors per month, compared to 283 visitors for human-written content.
When marketers only value AI modeling for its content creation capabilities, they neglect hundreds of other powerful use cases that can elevate their brand’s performance, streamline expenses, and boost productivity for individuals and teams.
Don’t put generative AI in a box.
If you’re a marketer who’s ignored the broader applications of AI modeling because you’re not sure where to start, you risk falling behind your competition.
Don’t let this happen to you: Read on to learn four specific ways AI models can help you and your broader team improve your processes and productivity to enhance your brand’s market perception.
The real power of AI: Doing work at scale
AI faces stark limitations when creating marketing content, but its capabilities are a perfect fit for a wide range of other marketing tasks and objectives.
It’s all about harnessing these capabilities for maximum impact. Predictive and generative AI are great at categorizing, retrieving, and evaluating information accurately and without error. They’re powerful tools for automating tasks and reducing tedious, time-consuming labor. Analyzing trends, identifying patterns, and making decisions can be so much easier than it’s ever been.
Most important of all, AI gives marketers the ability to build custom solutions without the assistance of engineers or programmers. With a little AI know-how and the right development platform, marketers can quickly create an AI-powered solution for whatever challenge they’re facing.
AI faces stark limitations when creating marketing content, but its capabilities are a perfect fit for a wide range of other marketing tasks and objectives.
It’s all about harnessing these capabilities for maximum impact. Predictive and generative AI are great at categorizing, retrieving, and evaluating information accurately and without error. They’re powerful tools for automating tasks and reducing tedious, time-consuming labor. Analyzing trends, identifying patterns, and making decisions can be so much easier than it’s ever been.
Most important of all, AI gives marketers the ability to build custom solutions without the assistance of engineers or programmers. With a little AI know-how and the right development platform, marketers can quickly create an AI-powered solution for whatever challenge they’re facing.
AI faces stark limitations when creating marketing content, but its capabilities are a perfect fit for a wide range of other marketing tasks and objectives.
It’s all about harnessing these capabilities for maximum impact. Predictive and generative AI are great at categorizing, retrieving, and evaluating information accurately and without error. They’re powerful tools for automating tasks and reducing tedious, time-consuming labor. Analyzing trends, identifying patterns, and making decisions can be so much easier than it’s ever been.
Most important of all, AI gives marketers the ability to build custom solutions without the assistance of engineers or programmers. With a little AI know-how and the right development platform, marketers can quickly create an AI-powered solution for whatever challenge they’re facing.
1. An internal AI chatbot that generates answers to common pre-purchase questions
2. A virtual sales assistant to support customer decision-making
3. An automated lead-scoring tool
Most marketing teams have processes in place for taking new leads and building out a profile of relevant information. A lead’s contact information, the products and services they’re interested in, the needs they have identified, and their geographic location all influence not only their potential value but also the best approaches to customer engagement.
Results for this lead scoring process can vary widely from one business to the next. But when this process is supported with the integration of AI, it helps sales and marketing professionals optimize their outreach and increase the likelihood of conversion.
“You can give the AI a prompt to write an email from the perspective of a sales rep based on the information filled in on the lead’s profile,” says Kay. “If the AI-written email makes sense, you can press OK and send. If it doesn’t, you can go into your email account and edit it to make sure the message is accurate.
“As you can imagine, this saves so much time. Your customers get a quicker response, and your sales and marketing teams can handle a higher workload. It’s a better experience for everybody.”
Automated messaging also helps you quickly gather more information to accurately score each lead. Once leads are ready to be handed off from the AI tool to a human sales or marketing professional, these leads must be prioritized in order of their potential value.
Leads in certain countries, for example, may offer more value as a potential customer. Similarly, a B2B prospect with 500 employees will likely represent more revenue potential than a 25-employee organization.
“The other thing you can do is build an automated link scheduler to improve the ease of booking a meeting,” says Kay. “If somebody is qualified, you can make the scheduling link appear, and the qualified lead can immediately schedule an appointment.”
By using AI to enhance the reliability and efficiency of your lead scoring, you can improve sales and marketing resource management to focus your efforts on the best conversion opportunities.
Most marketing teams have processes in place for taking new leads and building out a profile of relevant information. A lead’s contact information, the products and services they’re interested in, the needs they have identified, and their geographic location all influence not only their potential value but also the best approaches to customer engagement.
Results for this lead scoring process can vary widely from one business to the next. But when this process is supported with the integration of AI, it helps sales and marketing professionals optimize their outreach and increase the likelihood of conversion.
“You can give the AI a prompt to write an email from the perspective of a sales rep based on the information filled in on the lead’s profile,” says Kay. “If the AI-written email makes sense, you can press OK and send. If it doesn’t, you can go into your email account and edit it to make sure the message is accurate.
“As you can imagine, this saves so much time. Your customers get a quicker response, and your sales and marketing teams can handle a higher workload. It’s a better experience for everybody.”
Automated messaging also helps you quickly gather more information to accurately score each lead. Once leads are ready to be handed off from the AI tool to a human sales or marketing professional, these leads must be prioritized in order of their potential value.
Leads in certain countries, for example, may offer more value as a potential customer. Similarly, a B2B prospect with 500 employees will likely represent more revenue potential than a 25-employee organization.
“The other thing you can do is build an automated link scheduler to improve the ease of booking a meeting,” says Kay. “If somebody is qualified, you can make the scheduling link appear, and the qualified lead can immediately schedule an appointment.”
By using AI to enhance the reliability and efficiency of your lead scoring, you can improve sales and marketing resource management to focus your efforts on the best conversion opportunities.
Most marketing teams have processes in place for taking new leads and building out a profile of relevant information. A lead’s contact information, the products and services they’re interested in, the needs they have identified, and their geographic location all influence not only their potential value but also the best approaches to customer engagement.
Results for this lead scoring process can vary widely from one business to the next. But when this process is supported with the integration of AI, it helps sales and marketing professionals optimize their outreach and increase the likelihood of conversion.
“You can give the AI a prompt to write an email from the perspective of a sales rep based on the information filled in on the lead’s profile,” says Kay. “If the AI-written email makes sense, you can press OK and send. If it doesn’t, you can go into your email account and edit it to make sure the message is accurate.
“As you can imagine, this saves so much time. Your customers get a quicker response, and your sales and marketing teams can handle a higher workload. It’s a better experience for everybody.”
Automated messaging also helps you quickly gather more information to accurately score each lead. Once leads are ready to be handed off from the AI tool to a human sales or marketing professional, these leads must be prioritized in order of their potential value.
Leads in certain countries, for example, may offer more value as a potential customer. Similarly, a B2B prospect with 500 employees will likely represent more revenue potential than a 25-employee organization.
“The other thing you can do is build an automated link scheduler to improve the ease of booking a meeting,” says Kay. “If somebody is qualified, you can make the scheduling link appear, and the qualified lead can immediately schedule an appointment.”
By using AI to enhance the reliability and efficiency of your lead scoring, you can improve sales and marketing resource management to focus your efforts on the best conversion opportunities.
4. Automated, AI-powered partner onboarding
A growing number of on-demand services, including food delivery and retail fulfillment, rely on a large network of independent partners to support their operations at scale.
From small businesses to individual delivery and fulfillment workers, these on-demand services depend on partner acquisition as their main growth lever. But new partners need to be properly onboarded to make sure they’ve been vetted and trained to succeed in their role and meet the company’s expectations.
To facilitate this onboarding, many businesses rely on partner interactions with human recruiters to collect information, run background checks, and update existing systems with new partner information. When executed manually, this onboarding process can take weeks. But, by using an AI-powered onboarding solution, the average timeline for onboarding can be reduced from weeks to hours. With AI, pictures and scans of all necessary documentation can be collected; this information can then be extracted into a platform instantly.
An AI-powered onboarding solution can help to accelerate expansion into new global markets while achieving a significant reduction in partner onboarding costs.
A growing number of on-demand services, including food delivery and retail fulfillment, rely on a large network of independent partners to support their operations at scale.
From small businesses to individual delivery and fulfillment workers, these on-demand services depend on partner acquisition as their main growth lever. But new partners need to be properly onboarded to make sure they’ve been vetted and trained to succeed in their role and meet the company’s expectations.
To facilitate this onboarding, many businesses rely on partner interactions with human recruiters to collect information, run background checks, and update existing systems with new partner information. When executed manually, this onboarding process can take weeks. But, by using an AI-powered onboarding solution, the average timeline for onboarding can be reduced from weeks to hours. With AI, pictures and scans of all necessary documentation can be collected; this information can then be extracted into a platform instantly.
An AI-powered onboarding solution can help to accelerate expansion into new global markets while achieving a significant reduction in partner onboarding costs.
A growing number of on-demand services, including food delivery and retail fulfillment, rely on a large network of independent partners to support their operations at scale.
From small businesses to individual delivery and fulfillment workers, these on-demand services depend on partner acquisition as their main growth lever. But new partners need to be properly onboarded to make sure they’ve been vetted and trained to succeed in their role and meet the company’s expectations.
To facilitate this onboarding, many businesses rely on partner interactions with human recruiters to collect information, run background checks, and update existing systems with new partner information. When executed manually, this onboarding process can take weeks. But, by using an AI-powered onboarding solution, the average timeline for onboarding can be reduced from weeks to hours. With AI, pictures and scans of all necessary documentation can be collected; this information can then be extracted into a platform instantly.
An AI-powered onboarding solution can help to accelerate expansion into new global markets while achieving a significant reduction in partner onboarding costs.
Build AI marketing tools that do what humans can't
The choice is simple. You could limit generative AI to content creation.
Or you could spend your time creating custom AI tools that help you do your job better, faster, and more efficiently than ever before.
It’s time for bold, forward-thinking marketing leaders to embrace AI implementations that would improve the revenue potential of their businesses. There’s no shortage of use cases to choose from: Pay one quick visit to the Hugging Face AI community, and you’ll find more than 536,000 (and counting) models laying the foundation for future AI innovation.
As you make plans to develop your own AI solutions, check out all of the tools and support built into Bird’s newly redesigned platform. We make it easy to create powerful, flexible AI solutions because our platform is AI vendor-agnostic, ensuring your solutions will integrate seamlessly with the latest and greatest AI models. Bird allows you to connect with any AI vendor (the popular ones like OpenAI or Gemini), but also even your own custom AI.
It’s time to think beyond AI’s ability to produce low-quality content. Bird has been using OpenAI for years—and for many use cases beyond content generation. We’d love to help you do the same for your business.
Ready to get started? Request a tailored demo of Bird Flows today.
The choice is simple. You could limit generative AI to content creation.
Or you could spend your time creating custom AI tools that help you do your job better, faster, and more efficiently than ever before.
It’s time for bold, forward-thinking marketing leaders to embrace AI implementations that would improve the revenue potential of their businesses. There’s no shortage of use cases to choose from: Pay one quick visit to the Hugging Face AI community, and you’ll find more than 536,000 (and counting) models laying the foundation for future AI innovation.
As you make plans to develop your own AI solutions, check out all of the tools and support built into Bird’s newly redesigned platform. We make it easy to create powerful, flexible AI solutions because our platform is AI vendor-agnostic, ensuring your solutions will integrate seamlessly with the latest and greatest AI models. Bird allows you to connect with any AI vendor (the popular ones like OpenAI or Gemini), but also even your own custom AI.
It’s time to think beyond AI’s ability to produce low-quality content. Bird has been using OpenAI for years—and for many use cases beyond content generation. We’d love to help you do the same for your business.
Ready to get started? Request a tailored demo of Bird Flows today.
The choice is simple. You could limit generative AI to content creation.
Or you could spend your time creating custom AI tools that help you do your job better, faster, and more efficiently than ever before.
It’s time for bold, forward-thinking marketing leaders to embrace AI implementations that would improve the revenue potential of their businesses. There’s no shortage of use cases to choose from: Pay one quick visit to the Hugging Face AI community, and you’ll find more than 536,000 (and counting) models laying the foundation for future AI innovation.
As you make plans to develop your own AI solutions, check out all of the tools and support built into Bird’s newly redesigned platform. We make it easy to create powerful, flexible AI solutions because our platform is AI vendor-agnostic, ensuring your solutions will integrate seamlessly with the latest and greatest AI models. Bird allows you to connect with any AI vendor (the popular ones like OpenAI or Gemini), but also even your own custom AI.
It’s time to think beyond AI’s ability to produce low-quality content. Bird has been using OpenAI for years—and for many use cases beyond content generation. We’d love to help you do the same for your business.
Ready to get started? Request a tailored demo of Bird Flows today.
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