How to Use AI In Your Workflows

December 20, 2024 13:33

This guide provides an overview of how to integrate Phantombuster’s AI Phantoms into your workflows, offering you powerful tools to enhance lead generation, automate repetitive tasks, and personalize outreach.

Why use AI in your workflows?

Phantombuster’s AI Phantoms leverage AI technology to streamline and enhance your workflows. These Phantoms allow you to:

Automate personalization: Create tailored messages that speak directly to individual prospects.
Save time: Handle repetitive tasks automatically, so you can focus on strategic activities.
Qualify leads effectively: Phantoms like the AI LinkedIn Profile Enricher can analyze data and help you prioritize the best leads based on custom criteria, ensuring your outreach is targeted and efficient.

Scenarios where AI Phantoms are most effective

Personalized outreach: Use the AI LinkedIn Message Writer to automate personalized connection requests and follow up messages, ensuring higher engagement rates.
Lead qualification: Chain the AI LinkedIn Profile Enricher with the LinkedIn Profile Scraper to analyze and qualify leads based on custom criteria such as job title, company, or engagement history.
Engaging with content: Automate your interactions with key industry posts using the AI LinkedIn Post Responder to create thoughtful and engaging comments.
Data enrichment: Use the Advanced AI Enricher to enrich your existing lead lists with custom fields, making it easier to segment and target the right leads.

Overview of key AI Phantoms

AI LinkedIn Message Writer

The AI LinkedIn Message Writer leverages GPT models to craft personalized LinkedIn messages that resonate with your prospects, helping you increase both your connection acceptance and message reply rates.

How to use: Connect with profiles from a LinkedIn search, send follow-up messages, and automate your outreach.
Best for: Automating personalized outreach to LinkedIn prospects, increasing engagement rates.
Related Phantoms: LinkedIn Message Sender, LinkedIn Auto Connect.

Example prompt

Objective: "Generate five personalized LinkedIn messages for outreach to B2B marketing professionals."
Context: "We are a B2B SaaS company seeking to engage mid level marketing professionals to promote our latest lead generation tool."
Personas:
- My persona: "I’m a LinkedIn outreach specialist targeting B2B SaaS companies."
- My audience's persona: "My audience includes mid level marketing professionals in B2B SaaS companies who focus on customer acquisition and lead nurturing."
Instructions: "Use the recipient’s First name, Current job title, Company name, and any Skills to craft personalized messages. Focus on how our tool aligns with their lead generation needs and avoid any pushy sales language. Offer value by referencing their current role and professional expertise."
Format: "Output a short, concise LinkedInstyle inbox message."
Tone: "Use a friendly but professional tone, appropriate for mid level professionals in the SaaS industry."

AI LinkedIn Profile Enricher

Use the AI LinkedIn Profile Enricher to analyze LinkedIn profiles, running sentiment analysis to help identify leads that fit your ideal customer profile (ICP). Combine this with the AI LinkedIn Message Writer to ensure your outreach is both personalized and relevant.

How to use: Scrape profiles, analyze leads, and create personalized strategies.
Best for: Qualifying leads by running sentiment analysis on extracted profiles, making data driven decisions about outreach.
Related Phantoms: LinkedIn Profile Scraper, Sales Navigator Profile Scraper.

Example prompt

Objective: "Analyze the sentiment of LinkedIn profiles to identify potential leads for our B2B SaaS product."
Context: "We are focusing on midsized companies with senior marketing professionals, looking for leads that are most likely to engage with our solutions."
Personas:
- My persona: "I’m a sales development representative qualifying leads for a B2B SaaS solution."
- My audience's persona: "My audience consists of senior marketing executives in midsized B2B SaaS companies."
Instructions: "Use the fields First name, Job title, Company name, Skills, and Recent job changes to determine the lead's likelihood to engage. Focus on profiles that have shown recent job changes or growth in the marketing field. Generate a sentiment score for each profile, prioritizing those with positive signals."
Format: "Output the analysis as a table with columns for Name, Job title, Company, and Sentiment score."
Tone: "The output should be analytical and neutral, providing a clear indication of engagement potential."

AI LinkedIn Post Responder

The AI LinkedIn Post Responder analyzes LinkedIn posts and generates relevant, value driven comments, allowing you to stand out from other post engagers and build rapport with your target audience.

How to use: Analyze LinkedIn posts, generate engaging comments, and automate post responses.
Best for: Commenting on posts to build credibility and visibility within your target market.
Related Phantoms: LinkedIn Auto Commenter.

Example prompt

Objective: "Generate insightful and value driven comments on recent LinkedIn posts from industry thought leaders in digital marketing."
Context: "We are engaging with digital marketing thought leaders to build rapport and increase visibility within their networks."
Personas:
- My persona: "I’m a thought leader in digital marketing, engaging with relevant posts to provide insights and value."
- My audience's persona: "My audience includes other thought leaders, their followers, and professionals engaging with their posts."
Instructions: "Use the post content, Author's job title, Company name, and Skills to craft thoughtful and insightful comments that add value to the conversation. Avoid generic comments like 'Great post!' Instead, reference specifics from the post and share additional insights or experiences."
Format: "Output a short, LinkedInstyle comment no longer than three sentences."
Tone: "Adopt an insightful and professional tone, with a focus on adding value to the conversation."

Advanced AI Enricher

The Advanced AI Enricher is a robust tool that can supercharge your dataset with AI-powered analysis. You can create up to five custom AI fields to further enrich your lead data and make more informed decisions.

How to use: Provide a dataset for analysis, create custom fields to enrich data, and optimize lead information.
Best for: Advanced data analysis, using customized fields to enrich and analyze large datasets.
Related Phantoms: LinkedIn Profile Scraper, AI LinkedIn Profile Enricher.

Example prompt

Objective: Enrich a dataset of B2B SaaS professionals by creating custom fields for engagement potential, decision-making authority, and likelihood to convert."
Context: "We are preparing a lead list for an upcoming product launch targeting senior decision makers at mid sized SaaS companies."
Personas:
- My persona: "I am a sales manager tasked with enriching and qualifying leads for our sales team."
- My audience's persona: "My audience includes senior level marketing and sales professionals who are decision makers in midsized SaaS companies."
Instructions: "Use the fields Job title, Company name, Current job description, and Skills to create custom fields that rank leads based on decision making authority, engagement potential (based on recent activity), and likelihood to convert. Assign a score from 110 for each category. Avoid including irrelevant data points."
Format: "Output the enriched dataset as a CSV file with additional columns for Engagement potential score, Decision Making authority score, and Conversion likelihood score."
Tone: "The output should be structured and data driven, suitable for use in a lead scoring system."