Top AI Prompts for Lead Generation with ClickUp Brain

Identify 5 innovative lead magnet ideas tailored for B2B SaaS startups, based on the ‘Q2 Marketing Trends’ doc.

Use Case: Speeds up brainstorming by leveraging recent market insights.

ClickUp Brain Behaviour: Analyzes content and themes from linked documents to propose fresh lead magnet concepts.

What are the top 3 outreach email subject lines driving engagement in tech services under $100K ARR?

Use Case: Guides crafting compelling emails that resonate with budget-conscious prospects.

ClickUp Brain Behaviour: Aggregates data from internal campaign reports; Brain Max can supplement with public benchmarks if accessible.

Draft a concise lead qualification checklist inspired by the ‘Sales Playbook’ and recent client feedback notes.

Use Case: Aligns sales and marketing teams on criteria for prioritizing prospects.

ClickUp Brain Behaviour: Extracts key points from linked docs to generate a structured qualification guide.

Summarize conversion rates and lead sources from Q1 campaigns comparing LinkedIn Ads and Google Ads using our ‘Campaign Analytics’ doc.

Use Case: Enables data-driven channel optimization without manual report review.

ClickUp Brain Behaviour: Pulls tabular and narrative data from internal files to deliver a clear comparative summary.

List top CRM features that improve lead nurturing efficiency, referencing vendor reviews and internal user feedback.

Use Case: Helps select tools that enhance follow-up and relationship management.

ClickUp Brain Behavior: Scans documents and highlights frequently praised functionalities and their impact notes.

From the ‘Lead Scoring Framework’ doc, generate a task checklist for implementing scoring criteria in CRM workflows.

Use Case: Simplifies setup of automated lead prioritization.

ClickUp Brain Behavior: Identifies scoring rules and translates them into actionable checklist items within tasks.

Summarize 3 emerging personalization tactics in email marketing from post-2023 campaign reviews and industry reports.

Use Case: Keeps outreach strategies current and effective.

ClickUp Brain Behavior: Extracts recurring themes and successful approaches from linked documents.

From the ‘Millennial Buyer Insights’ doc, summarize key preferences for communication channels and content types.

Use Case: Helps tailor messaging to younger professional audiences.

ClickUp Brain Behavior: Reads survey data and highlights common trends and expectations.

Write engaging and concise call-to-action copy for webinar sign-ups using the tone guidelines in ‘BrandVoice.pdf.’

Use Case: Accelerates creation of persuasive UI text aligned with brand personality.

ClickUp Brain Behavior: Pulls style cues from the document and offers varied CTA options.

Summarize recent GDPR updates affecting lead data collection and how they impact our forms, referencing compliance docs.

Use Case: Ensures marketing materials meet legal standards.

ClickUp Brain Behavior: Condenses linked regulatory documents; Brain Max can integrate public updates if available.

Generate guidelines for optimal timing and frequency of follow-up emails, referencing regional sales data and best practice docs.

Use Case: Improves engagement rates through data-backed scheduling.

ClickUp Brain Behavior: Extracts timing recommendations and patterns from internal reports to create a compliance checklist.

Create a lead handoff checklist between marketing and sales teams using the ‘Lead Management Process’ folder.

Use Case: Facilitates smooth transitions and accountability.

ClickUp Brain Behavior: Identifies key steps and criteria from documents and outputs a task list organized by responsibility.

Compare lead generation ROI across Facebook, Instagram, and Twitter campaigns using our analytics docs.

Use Case: Supports budget allocation decisions with clear performance data.

ClickUp Brain Behavior: Summarizes documented metrics into an easy-to-read comparison table.

What new content formats are gaining traction in B2B lead generation since 2023?

Use Case: Guides content strategy with up-to-date market preferences.

ClickUp Brain Behavior: Synthesizes trends from internal research, competitor analyses, and uploaded industry reports.

Summarize key pain points from Southeast Asia lead gen feedback folders (channels, messaging, timing).

Use Case: Drives region-specific campaign improvements.

ClickUp Brain Behavior: Extracts and prioritizes user-reported challenges from surveys, notes, and tagged tickets.

Define your lead generation scenario clearly

Vague prompts yield unfocused results. Specify details like industry (e.g., “B2B SaaS” or “local retail”), campaign goal (e.g., “increase webinar sign-ups” or “boost newsletter subscribers”), or audience segment (e.g., “small business owners aged 30-45”).

Example: “Suggest email subject lines to engage mid-level marketing managers in tech startups.”

Use side-by-side comparisons to refine strategies

AI excels at contrasting options to reveal strengths and weaknesses. Use prompts like “compare X vs Y” to evaluate messaging approaches, channel effectiveness, or lead qualification criteria.

Example: “Compare LinkedIn outreach versus cold email campaigns for generating qualified leads in the finance sector.”

Frame prompts around specific lead generation tasks

Approach prompts as clear assignments for AI. Instead of “Generate lead ideas,” focus on desired outcomes:

Example: “Create a follow-up email sequence for new webinar registrants aimed at converting them into paying customers.”

Specify the output format you need

Need a list, script, or campaign outline? Be explicit. AI delivers better when the response structure is defined.

Example: “Provide 5 bullet points outlining key benefits of our product for cold call scripts targeting healthcare providers.”