Deploying an AI BDR—Potential Uses & Limitations

Author
Authors
Clay Team
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Date
Nov 29, 2024

Your business can only grow if you keep discovering and engaging pools of new, high-quality leads—something your business development representatives (BDRs) should excel at. But for BDRs buried under never-ending directories and lengthy email lists, turning cold leads into warm inbound prospects can feel impossible.

Today, an AI BDR can handle the heavy lifting for you, speeding up research, automating prospecting, and delivering data-driven insights for tailored outreach. 

Our team has used it in our B2B lead generation strategy and has received 2 to 3 times more responses. Based on our firsthand insights, this article will discuss whether an AI BDR really is a game-changing solution that can take over human BDR responsibilities. We’ve explored the common features and limitations of this technology and compared them with manual workflows.

You’ll also discover a brilliant AI-powered platform—Clay—that can help you with every step of your outbound processes, from research to automation. 🌈

What Is an AI BDR?

An AI BDR is a software solution that uses artificial intelligence to take over the tasks that a BDR would traditionally handle and automate presales processes. These broadly include:

  • Researching directories, filtering leads, and enriching their information
  • Scoring and segmenting the leads for better personalization and prioritization
  • Conducting outreach by creating multi-channel campaigns, writing copies, and sequencing messages and follow-ups
  • Tracking engagement and KPIs to assess the efficiency of outreach efforts

Theoretically, it can reduce repetitive and time-consuming tasks while minimizing errors and missed opportunities. Still, letting AI take over all human BDR tasks may not be in your best interest. 

What Tasks Can an AI BDR Perform?

AI can streamline your presales workflows by assessing large datasets, generating reports, and responding to queries relying on its natural language processing (NLP) capabilities. Virtual BDRs use these features to handle the following outbound sales processes:

  1. Preliminary research
  2. Prospecting and data enrichment
  3. Content creation and outreach automation

💡 Bonus read: Check out our guides on deploying AI for sales and pipeline management, find out how it’s used for AI selling, and go through examples of AI in sales.

Researching Using AI

The research phase allows BDRs to identify untapped lead pools and understand the current market trends. AI ensures minimal time constraints and human errors while processing information to:

  1. 🎯 Forecast detailed ideal customer personas (ICPs) by analyzing past successful conversions. This will later ensure your reps can shortlist and qualify leads that are statistically more likely to convert, as opposed to building an ICP based on guesswork
  2. 🌐 Browse the internet for databases that list prospects similar to your ICPs. Some sophisticated software solutions even integrate with dozens of reliable directories to consolidate all your data in one platform
  3. 🔍 Do preliminary research on leads to find information like company size, location, and key decision makers. This gives your reps a basic idea of who they’ll be reaching out to
  4. 📈 Summarize competitor dynamics and market trends so your reps can use the insights to position your products and services perfectly

Prospecting and Enrichment

Manually searching for prospects in directories, assimilating their data from multiple platforms, and organizing this information in CRMs can take weeks. On top of that, keeping up with job updates, online behavior, and interests of thousands of individuals is practically impossible.

Meanwhile, an AI BDR can filter out and qualify leads at lightning speed once you feed it a data source, like a website, and set qualification criteria, like company size. It can also clean your databases so your sales reps can find information at any time easily. You can prompt it to: 

  1. Remove duplicates
  2. Correct errors by cross-checking multiple directories
  3. Standardize information (like job titles and address formats)

The virtual BDR can then add real-time data points, find email addresses and social media handles, and even analyze recent online behavior. As a result, your SDRs are better equipped to:

  • ✔️ Asses where the lead is in the sales funnel
  • ✔️ Track the lead’s preferences and content consumption patterns
  • ✔️ Identify pain points and address them specifically

Certain AI solutions can also identify engagement patterns to give you intent data. For example, the AI might identify a healthcare company that recently invested in technology, suggesting a higher chance of interest in similar solutions. All this sets the stage for you to send better-tailored content at the right time to increase the chances of successful conversions. 

Content Creation and Campaign Automation

Writing the perfect email to capture a lead’s attention and generate interest in your brand is a delicate task. While humans can arguably write good copies, they can’t personalize them for every lead with updated details at scale.

An AI BDR improves lead engagement by tailoring content in three main ways:

  1. Creating campaigns for multiple segments—Groups leads with similar behavior patterns or demographic data and writes distinct email copies and call scripts for each segment
  2. Personalization—Adds each recipient’s personal details to set the stage for outreach. These can be as specific as seminar attendance and social media likes
  3. Suggesting content—Recommends content based on past interaction patterns. For example, if a lead is viewing particular blogs, your AI BDR can automatically suggest a relevant whitepaper and product feature demo to nurture them down the sales funnel

Once your BDR is done composing content, it can sequence emails based on preset triggers in seconds. Your AI then repeats the process based on engagement data to create follow-up campaigns that keep leads engaged.

💡 Bonus read: If you want to use ChatGPT to automate sales tasks, explore our guides on prompts for sales emails, email responses, as well as lead scoring.

What Your AI BDR Can’t Do

Ultimately, AI is a machine that processes data, analyzes past patterns, and makes suggestions based on them—it’s no substitute for human intelligence. This means your AI BDR can’t:

  1. Discover new opportunities
  2. Assess data quality
  3. Create outreach strategies

Discovering New Opportunities

While an AI BDR can provide a foundation for consistent, data-driven prospecting, it can’t discover unique, unexpected possibilities. Finding opportunities often requires a creative approach, including identifying potential that isn't obvious and having a nuanced understanding of the market.

A human BDR, for example, might notice emerging industry or social media trends, spot an unexpected potential use case for a product, or recognize a unique need that aligns with your business’ offerings. Spotting such cues requires contextual knowledge, intuition, and the ability to think outside the data-driven box—qualities that AI, despite its strengths, doesn’t possess. 🤖

Discovering opportunities also involves open-ended conversations with prospects that may reveal hidden needs or unexpected ways a product can add value to a company. Since AI can’t do that, it’s less effective at uncovering insights and can’t replace human intuition and creativity. 

Assessing Data Quality

While AI BDRs can process data efficiently, they can’t independently assess the quality of the data they work with. Poor or outdated data can lead to:

  • ❌ Inaccurate lead scores
  • ❌ Irrelevant messaging
  • ❌ Misprioritized leads

For example, the AI platform might be sourcing its lead information from an older database that doesn’t reflect recent organizational changes, such as mergers, role shifts, or changes in purchasing power. Without human oversight to verify this information, it may send personalized messages to the wrong individuals.

Human BDRs, on the other hand, can spot inconsistencies, verify data accuracy, and ensure that lead information reflects current realities. They bring the judgment needed to assess whether a data source is reliable, whether certain details seem off, or if additional research is required to complete the picture.

Creating Outreach Strategies

The most important tasks of a BDR include identifying new markets, tailoring messaging, and setting measurable goals accordingly. And while AI BDRs can analyze past performance metrics, they don’t possess:

  • The ability to create business development strategies from scratch
  • The forward-thinking perspective to anticipate market changes and adapt strategies accordingly
  • The emotional intelligence required to tailor outreach content to different demographic segments and decide on relevant communication channels

On the other hand, your experts can assess what markets to target based on current trends, economic indicators, and customer behaviors.

They can identify emerging opportunities or shifts in demand that might not yet be reflected in the data the AI is analyzing. Similarly, they understand industry workings and consumer preferences deeply enough to decide the best messaging and communication channels for different segments.

How To Efficiently Use AI for Sales Processes

Keeping all the limitations in mind, you need an AI solution that enhances your BDRs’ efficiency rather than promising to replace them. This means it must:

  • ✅ Help with research using superior web scraping abilities and reliable integrations
  • ✅ Allow you to set scoring and segmentation criteria for qualification and prioritization
  • ✅ Create contextually relevant outreach content personalized with real-time details
  • ✅ Automate your outreach email sequences

The good news is that we’ve got just the right tool for you—Clay. This AI-powered platform helps with all business and sales tasks, from research to email automation. 

Clay—AI Superpowers for BDRs and Beyond

Clay is an AI-driven platform that lets you take control of strategy and communication while equipping you with tools to speed up personalization, research, and enrichment. Clay’s data scraping, analysis, content creation, and automation capabilities work together with your BDRs to enhance their human touch while reducing workload. 🧰

With Clay, you can:

  1. Generate and enrich lead lists from any corner of the internet
  2. Score leads and prioritize the ones most likely to convert
  3. Write hyper-personalized messages
  4. Automate email sequences based on triggers and deep targeting

Build a Comprehensive Lead Dataset With Clay’s AI Agent

With Clay, your business and sales reps get access to the industry’s most advanced AI assistant—Claygent. Your teams can use Claygent for virtually any research, filtering, enrichment, prospecting, and automation task. For starters, use Claygent for:

  1. ⛏️ Deep targeting—Going deep into a company’s paid traffic, tech stack, headcount, employee concerns, or scouring an individual’s demographics to determine if they fit your ICP
  2. 🔍 Trigger targeting—Analyzing if a lead’s recent activity and intent data, like website updates or social media posts, qualifies it for outreach

That’s only the tip of the iceberg! Claygent is a prompt-based assistant that can answer any question and search any page on the internet to retrieve information, summarize documents, or make inferences. If that sounds impressive, wait until you discover that Claygent can automate entire campaigns based on set triggers. That’s months of work simplified into a few clicks!

See how easy email automation can be with Clay in the video below:

Automate Data Collection With Clay’s Integrations

As a researcher’s dream come true, Clay integrates with over 50 enrichment tools to fetch you the most comprehensive, up-to-date information available. Some of these include:

Integration What It Does
Hunter Finding and validating email addresses
People Data Labs Enriching data and generating segmented lists
NeverBounce Verifying lead email inboxes are active
MadKudu Getting buying intent data and relevant signals
Store Leads Finding companies using keywords
Intellizence Enriching up-to-date fundraising data for a startup
Google News Finding news results for specific queries

Not only can your team access these databases individually, but you can also let Clay browse them sequentially using a built-in feature called waterfall enrichment. This feature can go through all databases one by one to enrich leads with the information you select. 

The best part is that you can sync all data back into your CRM so your sales reps can access all intel on leads before initiating conversations. 👋

Write Personalized Emails With Clay

Creating emails that engage and convert leads is one of the most crucial tasks of a BDR, and with Clay, you can do it in a matter of seconds.

Clay’s AI email drafter lets you write unique, engaging messages to your lead segments while personalizing them using the information collected. With Clay, personalization goes way beyond the basic name, job, and company details of leads. 

Instead, you can be as specific as referencing their recent social media posts or citing research on a company’s open roles. 

If you don’t feel like writing prompts, you can also find powerful email templates to save time and personalize emails based on:

And much more! 💌

As a cherry on top, Clay integrates with OpenAI to let you perfect your content further using specific actions like text generation or image analysis without ever leaving the platform.

Once done, Clay lets you seamlessly forward the content to your email sequencer and set up automated campaigns. You can also sync mail content to your CRM tool or export it as a CSV file. 🗃️

Hundreds of expert marketers have used these and other features to make their outbound processes smoother, faster, and more efficient. Here’s what one of them had to say about Clay:

Source: Clay Wall of Love

Flexible Payment Plans for All Budgets

Signing up for Clay is free forever, so you can explore its core features at your leisure. To make the most out of Clay, get one of the paid plans:

Plan  Price per Month People/Company Searches
Starter $149 Up to 5,000/search
Explorer $349 Up to 10,000/search
Pro $800 Up to 25,000/search
Enterprise Custom Up to 50,000/search

All plans—including the free one—allow unlimited users, letting you scale your company, train new team members, and play with Clay features as you wish!

Sign Up for Clay, Your Dream Sales Platform

It takes seconds to create a Clay account and unlock its AI powers. All you have to do is:

  1. Head to the signup page
  2. Enter your name, email address, and passcode
  3. Discover Clay’s features

There’s a whole library of resources at Clay University that walks you through all of Clay’s features and shows you how to set them up. Plus, you can explore users’ Claybooks to learn different ways to leverage Clay’s full power. You should also join the Slack community if you want to engage with other marketing pros who use Clay to streamline their work.

💡 Keep reading: Want to transform your marketing and sales processes with AI? Check out these guides:

Your business can only grow if you keep discovering and engaging pools of new, high-quality leads—something your business development representatives (BDRs) should excel at. But for BDRs buried under never-ending directories and lengthy email lists, turning cold leads into warm inbound prospects can feel impossible.

Today, an AI BDR can handle the heavy lifting for you, speeding up research, automating prospecting, and delivering data-driven insights for tailored outreach. 

Our team has used it in our B2B lead generation strategy and has received 2 to 3 times more responses. Based on our firsthand insights, this article will discuss whether an AI BDR really is a game-changing solution that can take over human BDR responsibilities. We’ve explored the common features and limitations of this technology and compared them with manual workflows.

You’ll also discover a brilliant AI-powered platform—Clay—that can help you with every step of your outbound processes, from research to automation. 🌈

What Is an AI BDR?

An AI BDR is a software solution that uses artificial intelligence to take over the tasks that a BDR would traditionally handle and automate presales processes. These broadly include:

  • Researching directories, filtering leads, and enriching their information
  • Scoring and segmenting the leads for better personalization and prioritization
  • Conducting outreach by creating multi-channel campaigns, writing copies, and sequencing messages and follow-ups
  • Tracking engagement and KPIs to assess the efficiency of outreach efforts

Theoretically, it can reduce repetitive and time-consuming tasks while minimizing errors and missed opportunities. Still, letting AI take over all human BDR tasks may not be in your best interest. 

What Tasks Can an AI BDR Perform?

AI can streamline your presales workflows by assessing large datasets, generating reports, and responding to queries relying on its natural language processing (NLP) capabilities. Virtual BDRs use these features to handle the following outbound sales processes:

  1. Preliminary research
  2. Prospecting and data enrichment
  3. Content creation and outreach automation

💡 Bonus read: Check out our guides on deploying AI for sales and pipeline management, find out how it’s used for AI selling, and go through examples of AI in sales.

Researching Using AI

The research phase allows BDRs to identify untapped lead pools and understand the current market trends. AI ensures minimal time constraints and human errors while processing information to:

  1. 🎯 Forecast detailed ideal customer personas (ICPs) by analyzing past successful conversions. This will later ensure your reps can shortlist and qualify leads that are statistically more likely to convert, as opposed to building an ICP based on guesswork
  2. 🌐 Browse the internet for databases that list prospects similar to your ICPs. Some sophisticated software solutions even integrate with dozens of reliable directories to consolidate all your data in one platform
  3. 🔍 Do preliminary research on leads to find information like company size, location, and key decision makers. This gives your reps a basic idea of who they’ll be reaching out to
  4. 📈 Summarize competitor dynamics and market trends so your reps can use the insights to position your products and services perfectly

Prospecting and Enrichment

Manually searching for prospects in directories, assimilating their data from multiple platforms, and organizing this information in CRMs can take weeks. On top of that, keeping up with job updates, online behavior, and interests of thousands of individuals is practically impossible.

Meanwhile, an AI BDR can filter out and qualify leads at lightning speed once you feed it a data source, like a website, and set qualification criteria, like company size. It can also clean your databases so your sales reps can find information at any time easily. You can prompt it to: 

  1. Remove duplicates
  2. Correct errors by cross-checking multiple directories
  3. Standardize information (like job titles and address formats)

The virtual BDR can then add real-time data points, find email addresses and social media handles, and even analyze recent online behavior. As a result, your SDRs are better equipped to:

  • ✔️ Asses where the lead is in the sales funnel
  • ✔️ Track the lead’s preferences and content consumption patterns
  • ✔️ Identify pain points and address them specifically

Certain AI solutions can also identify engagement patterns to give you intent data. For example, the AI might identify a healthcare company that recently invested in technology, suggesting a higher chance of interest in similar solutions. All this sets the stage for you to send better-tailored content at the right time to increase the chances of successful conversions. 

Content Creation and Campaign Automation

Writing the perfect email to capture a lead’s attention and generate interest in your brand is a delicate task. While humans can arguably write good copies, they can’t personalize them for every lead with updated details at scale.

An AI BDR improves lead engagement by tailoring content in three main ways:

  1. Creating campaigns for multiple segments—Groups leads with similar behavior patterns or demographic data and writes distinct email copies and call scripts for each segment
  2. Personalization—Adds each recipient’s personal details to set the stage for outreach. These can be as specific as seminar attendance and social media likes
  3. Suggesting content—Recommends content based on past interaction patterns. For example, if a lead is viewing particular blogs, your AI BDR can automatically suggest a relevant whitepaper and product feature demo to nurture them down the sales funnel

Once your BDR is done composing content, it can sequence emails based on preset triggers in seconds. Your AI then repeats the process based on engagement data to create follow-up campaigns that keep leads engaged.

💡 Bonus read: If you want to use ChatGPT to automate sales tasks, explore our guides on prompts for sales emails, email responses, as well as lead scoring.

What Your AI BDR Can’t Do

Ultimately, AI is a machine that processes data, analyzes past patterns, and makes suggestions based on them—it’s no substitute for human intelligence. This means your AI BDR can’t:

  1. Discover new opportunities
  2. Assess data quality
  3. Create outreach strategies

Discovering New Opportunities

While an AI BDR can provide a foundation for consistent, data-driven prospecting, it can’t discover unique, unexpected possibilities. Finding opportunities often requires a creative approach, including identifying potential that isn't obvious and having a nuanced understanding of the market.

A human BDR, for example, might notice emerging industry or social media trends, spot an unexpected potential use case for a product, or recognize a unique need that aligns with your business’ offerings. Spotting such cues requires contextual knowledge, intuition, and the ability to think outside the data-driven box—qualities that AI, despite its strengths, doesn’t possess. 🤖

Discovering opportunities also involves open-ended conversations with prospects that may reveal hidden needs or unexpected ways a product can add value to a company. Since AI can’t do that, it’s less effective at uncovering insights and can’t replace human intuition and creativity. 

Assessing Data Quality

While AI BDRs can process data efficiently, they can’t independently assess the quality of the data they work with. Poor or outdated data can lead to:

  • ❌ Inaccurate lead scores
  • ❌ Irrelevant messaging
  • ❌ Misprioritized leads

For example, the AI platform might be sourcing its lead information from an older database that doesn’t reflect recent organizational changes, such as mergers, role shifts, or changes in purchasing power. Without human oversight to verify this information, it may send personalized messages to the wrong individuals.

Human BDRs, on the other hand, can spot inconsistencies, verify data accuracy, and ensure that lead information reflects current realities. They bring the judgment needed to assess whether a data source is reliable, whether certain details seem off, or if additional research is required to complete the picture.

Creating Outreach Strategies

The most important tasks of a BDR include identifying new markets, tailoring messaging, and setting measurable goals accordingly. And while AI BDRs can analyze past performance metrics, they don’t possess:

  • The ability to create business development strategies from scratch
  • The forward-thinking perspective to anticipate market changes and adapt strategies accordingly
  • The emotional intelligence required to tailor outreach content to different demographic segments and decide on relevant communication channels

On the other hand, your experts can assess what markets to target based on current trends, economic indicators, and customer behaviors.

They can identify emerging opportunities or shifts in demand that might not yet be reflected in the data the AI is analyzing. Similarly, they understand industry workings and consumer preferences deeply enough to decide the best messaging and communication channels for different segments.

How To Efficiently Use AI for Sales Processes

Keeping all the limitations in mind, you need an AI solution that enhances your BDRs’ efficiency rather than promising to replace them. This means it must:

  • ✅ Help with research using superior web scraping abilities and reliable integrations
  • ✅ Allow you to set scoring and segmentation criteria for qualification and prioritization
  • ✅ Create contextually relevant outreach content personalized with real-time details
  • ✅ Automate your outreach email sequences

The good news is that we’ve got just the right tool for you—Clay. This AI-powered platform helps with all business and sales tasks, from research to email automation. 

Clay—AI Superpowers for BDRs and Beyond

Clay is an AI-driven platform that lets you take control of strategy and communication while equipping you with tools to speed up personalization, research, and enrichment. Clay’s data scraping, analysis, content creation, and automation capabilities work together with your BDRs to enhance their human touch while reducing workload. 🧰

With Clay, you can:

  1. Generate and enrich lead lists from any corner of the internet
  2. Score leads and prioritize the ones most likely to convert
  3. Write hyper-personalized messages
  4. Automate email sequences based on triggers and deep targeting

Build a Comprehensive Lead Dataset With Clay’s AI Agent

With Clay, your business and sales reps get access to the industry’s most advanced AI assistant—Claygent. Your teams can use Claygent for virtually any research, filtering, enrichment, prospecting, and automation task. For starters, use Claygent for:

  1. ⛏️ Deep targeting—Going deep into a company’s paid traffic, tech stack, headcount, employee concerns, or scouring an individual’s demographics to determine if they fit your ICP
  2. 🔍 Trigger targeting—Analyzing if a lead’s recent activity and intent data, like website updates or social media posts, qualifies it for outreach

That’s only the tip of the iceberg! Claygent is a prompt-based assistant that can answer any question and search any page on the internet to retrieve information, summarize documents, or make inferences. If that sounds impressive, wait until you discover that Claygent can automate entire campaigns based on set triggers. That’s months of work simplified into a few clicks!

See how easy email automation can be with Clay in the video below:

Automate Data Collection With Clay’s Integrations

As a researcher’s dream come true, Clay integrates with over 50 enrichment tools to fetch you the most comprehensive, up-to-date information available. Some of these include:

Integration What It Does
Hunter Finding and validating email addresses
People Data Labs Enriching data and generating segmented lists
NeverBounce Verifying lead email inboxes are active
MadKudu Getting buying intent data and relevant signals
Store Leads Finding companies using keywords
Intellizence Enriching up-to-date fundraising data for a startup
Google News Finding news results for specific queries

Not only can your team access these databases individually, but you can also let Clay browse them sequentially using a built-in feature called waterfall enrichment. This feature can go through all databases one by one to enrich leads with the information you select. 

The best part is that you can sync all data back into your CRM so your sales reps can access all intel on leads before initiating conversations. 👋

Write Personalized Emails With Clay

Creating emails that engage and convert leads is one of the most crucial tasks of a BDR, and with Clay, you can do it in a matter of seconds.

Clay’s AI email drafter lets you write unique, engaging messages to your lead segments while personalizing them using the information collected. With Clay, personalization goes way beyond the basic name, job, and company details of leads. 

Instead, you can be as specific as referencing their recent social media posts or citing research on a company’s open roles. 

If you don’t feel like writing prompts, you can also find powerful email templates to save time and personalize emails based on:

And much more! 💌

As a cherry on top, Clay integrates with OpenAI to let you perfect your content further using specific actions like text generation or image analysis without ever leaving the platform.

Once done, Clay lets you seamlessly forward the content to your email sequencer and set up automated campaigns. You can also sync mail content to your CRM tool or export it as a CSV file. 🗃️

Hundreds of expert marketers have used these and other features to make their outbound processes smoother, faster, and more efficient. Here’s what one of them had to say about Clay:

Source: Clay Wall of Love

Flexible Payment Plans for All Budgets

Signing up for Clay is free forever, so you can explore its core features at your leisure. To make the most out of Clay, get one of the paid plans:

Plan  Price per Month People/Company Searches
Starter $149 Up to 5,000/search
Explorer $349 Up to 10,000/search
Pro $800 Up to 25,000/search
Enterprise Custom Up to 50,000/search

All plans—including the free one—allow unlimited users, letting you scale your company, train new team members, and play with Clay features as you wish!

Sign Up for Clay, Your Dream Sales Platform

It takes seconds to create a Clay account and unlock its AI powers. All you have to do is:

  1. Head to the signup page
  2. Enter your name, email address, and passcode
  3. Discover Clay’s features

There’s a whole library of resources at Clay University that walks you through all of Clay’s features and shows you how to set them up. Plus, you can explore users’ Claybooks to learn different ways to leverage Clay’s full power. You should also join the Slack community if you want to engage with other marketing pros who use Clay to streamline their work.

💡 Keep reading: Want to transform your marketing and sales processes with AI? Check out these guides:

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