Real projects. Real results. Real businesses transformed by AI.
Detailed breakdowns of how we've built AI systems that deliver measurable business impact.
LocalAnswer.io
14,343 pages built for AI search engines
Programmatically generated pages built to be read and quoted by AI search engines. Built and indexed in days, not months.
Traditional SEO requires months of manual content creation. With AI-powered search engines emerging as a primary discovery channel, businesses needed a way to create structured, authoritative content at massive scale, built not just for Google, but for the AI systems people now ask instead, like Perplexity and ChatGPT.
Designed an autonomous content architecture that generates local pages with structured data, semantic markup, and AI-readable formatting
Built a pipeline that researches, writes, and publishes pages without manual intervention, each page tailored to specific local queries
Implemented real-time indexing monitoring to ensure pages are discovered and quoted by both traditional and AI search engines
Created a feedback loop that analyzes which pages get quoted most and improves the generation template accordingly
14,343 pages generated and indexed within the first month
Pages began appearing in AI search answers within days of publishing
System operates autonomously with near-zero manual effort required
Continuous expansion: the system adds new pages daily based on emerging search patterns
"We went from zero AI search presence to thousands of indexed pages in weeks. The system just runs. We barely think about it anymore."
Founder, LocalAnswer.io
steep.news
Automated news intelligence at scale
Automated news aggregation and summarization system that processes hundreds of sources daily.
Staying informed across hundreds of news sources is a full-time job. Media professionals and business leaders waste hours each day scanning headlines, reading articles, and trying to identify patterns. The volume of information makes it impossible to maintain comprehensive coverage manually.
Architected an AI-powered news ingestion pipeline that processes hundreds of sources in real-time
Built intelligent categorization that groups related stories and identifies emerging narratives across sources
Implemented automated summarization that distills long articles into actionable intelligence briefs
Created pattern detection that surfaces trends before they become mainstream news
Hundreds of news sources processed and summarized daily
Teams reduced news monitoring time from hours to minutes per day
Early trend detection identified market-moving stories 24-48 hours before mainstream coverage
Fully automated operation with human oversight only for editorial decisions
"steep.news replaced what used to take our team 3 hours every morning. Now we get better intelligence in 10 minutes."
Editor-in-Chief, steep.news
PartnerMind.ai
AI-powered affiliate matching
AI-powered affiliate matching system that connects SaaS products with relevant partners automatically.
Finding the right affiliate partners for SaaS products is manual, time-consuming, and often based on guesswork. Sales teams spend weeks researching potential partners, only to find that most leads don't convert. The matching process lacks data-driven intelligence.
Built an intelligent matching engine that analyzes SaaS products across multiple dimensions: features, audience, pricing, and market position
Created partner profiling that evaluates potential affiliates on audience overlap, content alignment, and historical conversion patterns
Implemented automated outreach scoring that prioritizes the highest-potential partnerships
Designed a continuous learning system that improves match quality based on partnership outcomes
Partner discovery time reduced by 80% compared to manual research
Match quality significantly improved: higher conversion rates from recommended partnerships
Automated partner profiling eliminated hours of manual research per prospect
System continuously improves as it learns from successful and unsuccessful matches
"PartnerMind found us partnerships we never would have discovered manually. The quality of matches is remarkable."
VP of Partnerships, SaaS Company
InStoreIndex.com
1,450+ page authority site for in-store media
Vendor-neutral authority site covering in-store media: background music, digital signage, and retail media networks.
The in-store media industry (background music, digital signage, retail media networks) lacked a comprehensive, vendor-neutral resource. Buyers had no single place to research and compare solutions. This information gap meant purchasing decisions were based on incomplete data and vendor marketing rather than objective analysis.
Created a comprehensive content architecture covering three major in-store media categories with deep, structured pages
Built an AI content generation system that produces vendor-neutral, factually dense comparison and analysis pages
Built every page for AI search with structured data, clear hierarchies, and verifiable claims
Implemented automated content expansion that identifies coverage gaps and generates new pages to fill them
1,450+ pages of comprehensive, vendor-neutral coverage published
Established as the definitive industry resource for in-store media research
Pages consistently quoted by AI search engines for industry-related queries
Automated expansion continues to grow coverage without manual content creation
"InStoreIndex became the go-to resource for our industry almost overnight. The depth of coverage is something no human team could have built this fast."
Industry Analyst, Retail Media
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