I designed and built the Listing Monster marketing site, translating their AI-powered e-commerce platform into a clear, conversion-focused digital experience for resale and charity sellers across eBay, Shopify, Depop, and Vinted. Working in Figma, I created a modern, modular design system built around strong hierarchy, benefits-led messaging, and scalable UI components.
As the Webflow designer and developer on the project, I implemented custom interactions, a structured Webflow CMS for features and testimonials, and performance-optimised layouts tailored for SaaS lead generation.
Programmatic SEO generates targeted landing pages from the CMS to capture long-tail marketplace and category search intent, and automation integrations wire form submissions and demo bookings into their downstream stack. The result is a fast, flexible Webflow website that showcases Listing Monster's AI automation tools and supports consistent demo bookings.
Listing Monster had built a genuinely powerful AI platform — automated listing creation, cross-platform inventory management, and smart pricing for resale and charity sellers across eBay, Shopify, Depop, and Vinted. The technology worked. But their website didn't. The existing site was a bare placeholder that made a sophisticated SaaS product look like a hobby project, and for a company selling automation to business sellers who list hundreds or thousands of items, that credibility gap was costing them real demo bookings and signups every week.
The deeper challenge was communication. Listing Monster's AI does genuinely complex things under the hood: image recognition, automated copywriting, multi-platform listing orchestration, dynamic pricing algorithms. But their target users — resale entrepreneurs, charity shop managers, marketplace power sellers — don't evaluate software on technical architecture. They care about one thing: will this save me time and help me sell more? The site needed to translate sophisticated AI capabilities into straightforward, benefits-led messaging without dumbing anything down or overselling. It also needed to capture organic search traffic from sellers actively looking for platform-specific solutions — cross-listing tools, eBay automation, Depop listing software — and convert those searches into demo bookings.
I designed the site from scratch in Figma, building a modular design system with strong visual hierarchy and scalable UI components that could flex across use cases. The core challenge was information architecture: how do you explain an AI platform that works across four distinct marketplaces to sellers who might only use one? I structured the site around user outcomes rather than technical features — sections organised by what the seller gains (list faster, manage inventory across platforms, sell on more channels with less work) rather than by what the platform's architecture looks like under the hood.
In Webflow, I implemented a robust CMS architecture for features, integrations, marketplace-specific pages, and testimonials. This gives Listing Monster's team a template-driven system where new content slots into pre-designed layouts — the site scales alongside the product without requiring rebuilds. Custom interactions and performance-optimised layouts were built in from day one: the site loads fast and feels polished, both signals of technical competence that SaaS buyers register whether they're conscious of it or not.
The programmatic SEO layer generates targeted landing pages dynamically from the CMS — pages like 'AI listing tool for eBay charity sellers' or 'automated Depop cross-listing software' — capturing long-tail search intent at scale from sellers who are actively searching for solutions to specific marketplace problems. I wired form submissions and demo bookings into their downstream sales stack via Webflow-native integrations and API connectors, ensuring no lead leaks between the website and their pipeline. Every demo request arrives with full context: which page it came from, which features the visitor engaged with, and which marketplace they're interested in.
Listing Monster now presents online like the serious SaaS platform it actually is. The website explains their AI capabilities in language that resonates with busy sellers — concrete talk about hours saved per day, listing across platforms without duplicate work, and letting the software handle repetitive tasks so sellers can focus on sourcing inventory and growing their business. The credibility gap that was costing them conversions has been closed.
The programmatic SEO pages have begun capturing organic traffic for niche marketplace searches, bringing in qualified leads who are actively looking for solutions to specific cross-listing or automation problems rather than browsing passively. Demo bookings flow reliably into their pipeline with full attribution context, and the CMS architecture means the site scales alongside the product — new features, new marketplace integrations, new case studies all have a structured home without requiring a rebuild.
For a startup competing in the crowded AI tools space, having a website that looks and performs at this level isn't just a marketing asset — it's a genuine competitive advantage in every sales conversation and every investor meeting. The site does what good SaaS marketing should: it makes a complex product feel simple, makes a technical product feel human, and makes a new company feel established.
