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Documentation Index

Fetch the complete documentation index at: https://docs.tldr.work/llms.txt

Use this file to discover all available pages before exploring further.

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Use Cases

Discover how different businesses use tldr.work to automate sales, track brand visibility, and stay ahead of competitors.

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🎯 Sales Teams

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Use Case 1: B2B SaaS Lead Generation

Challenge: Sales team needs 100 qualified leads/week for their CRM product, but prospecting takes 20 hours. Solution with tldr.work:
1

Search for prospects

Query: “B2B companies in Europe with 50-200 employees”
2

Enrich with emails

Find decision-makers (CEOs, CTOs, sales managers)
3

Generate personalized emails

AI creates emails mentioning company industry, size, and pain points
4

Launch automated campaign

Send 50 emails/day with tracking
Results:
  • ⏱️ Time saved: 18 hours/week (from 20h to 2h)
  • 📊 Lead quality: 95%+ verified emails
  • 📈 Response rate: 12% (vs 3% with generic emails)
  • 💰 Cost: €50/week vs €500/week for manual prospecting

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Use Case 2: Agency New Client Acquisition

Challenge: Marketing agency needs local businesses (restaurants, retailers) as clients but struggles to scale outreach. Solution with tldr.work:
1

Find local businesses

Query: “Restaurants in Lyon, France with no online presence”
2

Enrich contacts

Get owner/manager emails and phone numbers
3

Create hyper-local campaigns

AI generates emails mentioning specific neighborhood, local events
4

Track engagement

See which businesses opened/clicked to prioritize follow-ups
Results:
  • 🎯 Precision targeting: Only businesses without websites/social
  • 📧 Open rate: 45% (hyper-personalized local approach)
  • 🤝 Conversion: 8% response rate → 2% closed deals
  • 🚀 Scale: 500 restaurants contacted/month (was 50 before)

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📊 Marketing & SEO Teams

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Use Case 3: AI Search Optimization

Challenge: SEO agency’s clients are ranking well on Google but invisible on ChatGPT and Perplexity. Solution with tldr.work:
1

Analyze client domains

Extract business info for 10 clients simultaneously
2

Generate test prompts

Create 10 prompts per client (brand, product, intent queries)
3

Run monthly analyses

Test on ChatGPT, Claude, Gemini, Perplexity, Mistral
4

Identify gaps

See which prompts fail to mention the brand
5

Optimize content

Update website/blog to target AI search intent
6

Track improvements

Re-run analysis monthly to measure progress
Results:
  • 📈 Visibility increase: From 15% to 65% in 3 months
  • 🏆 Competitive advantage: Clients now rank above competitors on AI
  • 💰 New service: Agency now offers “AI SEO” as premium service (€500/month per client)
  • 📊 Client retention: 90% retention (clients love seeing AI visibility reports)

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Use Case 4: Brand Monitoring for PR Agency

Challenge: PR agency needs to track how AI engines talk about their clients after major campaigns/announcements. Solution with tldr.work:
1

Baseline analysis

Run analysis before PR campaign launch
2

Launch PR campaign

Press releases, interviews, social media push
3

Post-campaign analysis

Re-run same prompts 2 weeks later
4

Measure impact

Compare visibility, sentiment, and position changes
5

Report to client

Show tangible PR ROI with before/after metrics
Results:
  • 📊 Quantified PR impact: 40% increase in AI visibility after campaign
  • 😊 Sentiment shift: From 60% positive to 85% positive
  • 🏅 Position improvement: From average #5 to #2 in competitor lists
  • 🤝 Client satisfaction: Concrete metrics justify PR budget

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👨‍💼 Founders & Solopreneurs

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Use Case 5: Startup Co-founder Finding B2B Leads

Challenge: Solo founder needs to find early customers for productivity tool but has no sales team. Solution with tldr.work:
1

Define ICP

Query: “Startups in tech with 5-20 employees, funded in last 12 months”
2

Batch prospecting

Find 200 prospects in one search
3

AI-generated outreach

Personalized emails mentioning funding round, team size, pain points
4

Automated follow-ups

Daily campaign sends 50 emails/day
5

Focus on replies

Founder only handles interested prospects
Results:
  • ⚡ Speed: 200 prospects contacted in 4 days (would take weeks manually)
  • 📈 Efficiency: Founder spends 1h/week on prospecting (was 10h)
  • 🎯 Focus: More time for product development
  • 💰 First customers: 5 paying customers in first month

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Use Case 6: Freelancer Building Personal Brand

Challenge: Freelance consultant wants to be recommended by AI when people ask “best marketing consultant for startups”. Solution with tldr.work:
1

Set up personal brand monitoring

Create project with personal website
2

Test discovery queries

Prompts like: “Who should I hire for startup marketing?”
3

Identify gaps

AI doesn’t mention consultant at all (0% visibility)
4

Content strategy

Write blog posts, case studies, LinkedIn articles optimized for AI
5

Track progress

Re-run analysis monthly
Results:
  • 📊 Visibility growth: From 0% to 40% in 6 months
  • 🏆 ChatGPT recommendation: Now mentioned in top 3 for “startup marketing consultants”
  • 💼 Inbound leads: 3-5 inbound inquiries/month (was 0)
  • 💰 Revenue increase: +€20k/year from AI-driven discovery

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🏢 Enterprise & Agencies

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Use Case 7: Multi-Client Agency Dashboard

Challenge: Agency manages 20 clients and needs to track both sales and AI visibility for each. Solution with tldr.work:
1

Workspace per client

Separate workspace for clean organization
2

Sales automation for lead gen clients

Run prospecting campaigns for 10 clients
3

AI monitoring for brand clients

Track AI visibility for 10 other clients
4

Monthly reporting

Export data + dashboards for client meetings
Results:
  • 🎯 One platform: Replaces multiple single-purpose tools (saves budget and complexity)
  • ⚡ Efficiency: Manage all clients from one dashboard
  • 📊 Better reporting: Unified metrics across sales + AI
  • 🤑 New revenue stream: Offer “AI visibility” as standalone service

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Use Case 8: Competitive Intelligence Team

Challenge: Startup needs to monitor how AI talks about them vs 5 competitors. Solution with tldr.work:
1

Create projects for each brand

6 projects: Own brand + 5 competitors
2

Use same prompts

Generate prompts based on own brand, use for all 6 projects
3

Run parallel analyses

Test all 6 brands on same prompts
4

Compare results

See who ranks higher on which engines
5

Identify opportunities

Find prompts where competitors rank but startup doesn’t
Results:
  • 🔍 Full competitive picture: Know exactly where you stand
  • 🎯 Targeted optimization: Focus on prompts where competitors win
  • 📈 Market positioning: Adjust messaging based on AI perceptions
  • 🏆 Overtake competitors: Visibility improved from #5 to #2 in 6 months

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🌍 E-commerce & Local Businesses

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Use Case 9: Local Business Discovery

Challenge: Bakery in Paris wants to be recommended when AI users ask “best bakery in Paris”. Solution with tldr.work:
1

Set up brand monitoring

Analyze bakery website
2

Generate local intent prompts

  • “Best bakery in Paris for croissants”
  • “Where to buy wedding cake in Paris”
  • “Artisan bread near Eiffel Tower”
3

Test on 5 AI engines

See if bakery is mentioned
4

Optimize Google Business Profile

Add keywords AI engines use
5

Track improvements

Monthly re-analysis
Results:
  • 📊 Visibility: From 0% to 60% on local queries
  • 🏆 ChatGPT mentions: Now in top 5 Paris bakeries
  • 🚀 Foot traffic: +30% customers mentioning “ChatGPT recommended you”
  • 💰 ROI: €20/month tldr.work cost → €500/month additional revenue

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🎓 Common Patterns

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Pattern 1: The “AI-First” Strategy

Who: SEO agencies, content marketers
Goal: Optimize for AI search instead of (or alongside) Google
Approach: Monthly AI visibility tracking + content optimization
Result: Early mover advantage before AI SEO becomes mainstream

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Pattern 2: The “Scale Outreach” Strategy

Who: Sales teams, agencies, founders
Goal: Contact 10x more prospects without hiring
Approach: Automated prospecting + AI email generation
Result: More deals closed with same team size

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Pattern 3: The “Unified Dashboard” Strategy

Who: Agencies managing multiple clients
Goal: One platform for both sales and brand monitoring
Approach: Replace 3-5 separate tools with tldr.work
Result: Lower costs, better efficiency, unified reporting

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Pattern 4: The “Competitive Monitoring” Strategy

Who: Startups, enterprises with competitive markets
Goal: Track own brand + competitors on AI engines
Approach: Parallel monitoring of multiple brands
Result: Strategic insights to outrank competitors

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💡 Getting Started

Choose your use case and follow the guide:

Sales Automation

For lead generation and outreach

AI Brand Monitoring

For visibility tracking

Quick Start

Try both features in 5 minutes

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Need Help?

Can’t find your use case? Email us: support@tldr.work We’ll help you design a custom workflow for your business! 🚀