Real outcomes from real engagements. Before-and-after AI Visibility Scores, revenue impact, and what we actually built.
AI Visibility Score: 12/100 → 74/100 in 90 days
The problem: Zero AI recommendations despite strong local reputation and 200+ Google reviews. ChatGPT, Gemini, and Perplexity all recommended competitors instead.
What we built: Complete schema implementation (Organization, Service, FAQPage, Review), content restructuring with AI-citeable opening paragraphs, citation cleanup across 12 directories, llms.txt and AI crawler access.
Result: Now recommended by ChatGPT for 3 of their 5 core services. Gemini mentions them in 60% of tested queries. $8,400/month estimated new revenue from AI-originated traffic.
Revenue Gap Identified: $14,200/month in missed conversions
The problem: 12,000 monthly visitors, 0.8% conversion rate. Traffic was there; revenue wasn't. Site had no clear pricing, buried CTAs, missing trust signals, and a checkout flow with 40% abandonment.
What we built: Complete website rebuild with conversion-optimized layout, visible pricing with value anchoring, multi-step contact form, social proof notifications, and exit-intent recovery.
Result: Conversion rate improved from 0.8% to 2.4% within 60 days. $14,200/month revenue increase validated against baseline.
Program Built: Complete 60-day curriculum + sales funnel
The problem: Subject matter expertise with no productized offering. Was doing one-on-one consulting at $150/hour; wanted to serve more people without more hours.
What we built: 60-day training curriculum (daily sessions, 10 modules), complete slide decks, participant workbooks, sales page, webinar pitch deck, and promotional content pack.
Result: Launched challenge program at $497/participant. First cohort of 22 participants generated $10,934 in revenue from a single launch cycle.
AEO Score: 54/100 → implementation ongoing
The problem: Existing website had strong content but zero schema markup, no AI crawler access, inconsistent NAP data across directories, and no structured data for legal services.
What we built: 38-file website with complete LegalService schema, FAQPage schema on every practice area, JSON-LD implementation, NAP standardization, Google review book asset, and llms.txt.
Result: AEO audit score improved from 54 to projected 78+ post-implementation. AI recommendation testing underway for core practice areas.
These results reflect real client engagements with identifying details anonymized. Your results will depend on your starting position, industry, and scope of engagement.
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