Lead Alchemists: 10K Visits, 200 Leads, $5300 Monthly Increase | Case Study
How Lead Alchemists utilized Moonlit's Content Workflow Builder to improve their content efficiency for clients while maximizing quality.
Key Results
Saved over 60 hours on large projects.
Reduced article production time from 3 hours to 45 minutes.
Achieved 10,000+ monthly organic sessions from blog content.
Generated 200+ qualified leads monthly.
Doubled content volume with improved efficiency.
Company Snapshot
Name: Lead Alchemists
Type: Revenue-centric SEO & Content Marketing Agency
Primary Service: “SEO & Google Ads for Sales Growth”
Lead Alchemists blends performance marketing with approachable creative, positioning itself as the growth partner that turns traffic into pipeline. Their entire web experience—hero copy, social-proof placement, internal-linking architecture—is already fuelled by in-house software. But when it came to large-scale, AI-driven content ops, they needed an external engine built for speed and precision.
The Pre-Moonlit Challenge
Pain Point | Impact |
|---|---|
Manual prompt-chaining for every AI draft | 60+ hours lost per large project |
Single-model limitations | Repetitive tone, shallow topic coverage |
Video-to-blog repurposing bottlenecks | 400+ videos sitting un-optimised, unranked |
Need for rapid experimentation | Dev resources tied up building one-off scripts |
“We were already using AI, but stitching prompts together by hand was brutal. We wanted orchestration, not more busywork.”
— Growth Lead, Lead Alchemists
Why Moonlit Won
Drag-and-drop App Editor – build multi-step chains visually, no code required.
40+ AI Models, & Live Keyword data in one place – mix research-heavy models with creative ones.
Bulk Runs at scale – feed hundreds of URLs / keywords and let it run in the background.
Custom Python – slot Moonlit into existing internal scripts.
Flagship Workflow: “Video Vault ➜ Rank-Ready Articles”
Step | Moonlit Functionality | Outcome |
|---|---|---|
1. Crawl website & scrape 400+ YouTube URLs (offline Python) | — | Generates CSV of video URLs |
2. Bulk-Run App via API | Inputs: video URL | Moonlit auto-transcribes each video |
3. Parallel Research | Perplexity LLM node in the same App | Pulls deep topic/ SERP insights |
4. Draft Builder | GPT-4 + Claude + Gemini nodes | Creates SEO-optimised article from transcript + research |
5. Export | Outputs merged back into original CSV | Ready for editorial polish & CMS upload |
Key Notes
Multi-model blend keeps style fresh and authoritative.
Live Keyword Data provides models with real-world user search data
Bulk Runs eliminates the mandune work saving hours
Error logs & version history made debugging trivial.
4. Quantifiable Gains
Metric | Before Moonlit | After Moonlit | Delta |
|---|---|---|---|
Hours saved on a single client project | — | 60+ hours | — |
Monthly organic traffic for client | 0 (from blog) | 10,000+ sessions | New |
Monthly leads generated | 0 | 200+ qualified leads | New |
Content volume | Baseline | 2× output | ↑100% |
“Moonlit has been transformational. We’re doing more of the right things, faster than ever.”
— Operations Director, Lead Alchemists
Favourite Features
Model-Mixing in One Flow
“Harnessing multiple LLMs lets us match tone to intent—research depth from Perplexity, polish from GPT-4, creativity from Claude.”Bulk Runs & Background Processing
“Kick off a 400-URL run, grab coffee, come back to a finished CSV.”Transparent Logic & Debugging
“Stakeholders can see the workflow; easier to iterate and client-proof.”
Takeaway
With Moonlit Platform, Lead Alchemists turned a dusty archive of informal videos into a high-performing content engine—without hiring extra devs or writers. The result: triple the discovery calls for their own agency and £4k+/month in new revenue for a flagship client.
