Journal · Essays & case studies
Field notes on AI that actually ships.
What we are learning at the edge of GEO, AI operations and real ROI, written for leaders, not for the hype cycle.
How We Measure and Take Back Control of Your Presence in AI Answers
A growing share of first impressions now form inside an AI answer, not on your website. Here's the three-step method we use to read that answer, compare it to your competitors, and act on it inside a broader mission.
Read ↗Our references
The engagements behind the numbers.
What the client needed, what we built, what it changed.
AI That Gets Used: Investor Relations at a Global Private Markets Firm
A global private markets firm treated AI as a change-management problem before a technology problem. Months after launch, more than half the target team uses the tool daily, unprompted, the scarcest metric in enterprise AI.
Read ↗Defending a Category's Reputation in the Age of AI Answers
One of the world's largest trade organizations found that a single online community was cited in 46% of AI answers about its category. Here's how a six-month GEO program moved the number, and what it found looking inward.
Read ↗AI Opportunity Audit at a Global Luxury Retail Group
A PE-owned luxury retailer set a 60-day board mandate to find where AI would create measurable value. The audit found the gap wasn't technology, it was the distance between what leadership believed and what the evidence showed.
Read ↗Supercharging Sales with AI: How a Mid-Market Manufacturing Firm Transformed Its Growth
A mid-market B2B manufacturing firm used AI agents for prospecting, lead qualification, and quote generation — tripling their pipeline in six months.
Read ↗From Field Study to First Build: AI Bid Generation in a PE-Backed Industrial Services Company
A PE-backed industrial services contractor, about $20M in revenue and 150 employees, where the pricing logic lived in one estimator's head. Five use cases valued at Wharton, then the first one built. 1.45-month payback, 836 hours a year back on bids.
Read ↗Four Agents in Four Weeks: An AI Platform for a Creative Agency, Built With the Team That Uses It
A creative agency inside a media group spent two to three hours pricing every proposal and a day drafting every deck. We rolled out an LLM-agnostic platform with four custom agents and trained the whole team. Pricing now takes minutes, a first-draft deck twenty to thirty.
Read ↗What We Built, Why We Built It, and Where We're Going
We didn't start Neon & Slate because AI was trending. We started it because of something we'd been watching for years — from the inside.
Read ↗When AI Becomes a Reputational Liability: Rewriting What Five LLMs Said About a Luxury Jewelry Brand
A U.S. luxury jewelry brand had fixed its after-sales problems. The AI engines had not noticed. In three months, brand citations went from 13% to 30%, heritage citations from 15% to 50%, and after-sales negatives from 11 to zero.
Read ↗An AI Content Factory and a Voice Agent for a Fishing Guide Marketplace: +300% Revenue in a Year
A booking platform for fishing guides, in the small-business segment, where guides had no time to produce content and bookings slipped between calls. An AI content factory and a voice agent drove 300% year-on-year revenue growth, twice the conversion and 30% more returning customers.
Read ↗Why Your AI Initiative Is Failing (And It's Not the Technology)
80–90% of companies report using AI. Fewer than 6% report meaningful bottom-line impact. The gap is organizational, not technical.
Read ↗From Ad-Hoc AI to an Auditable System: Self-Hosted LLM Tooling for a 30-Person Fintech
A New York fintech whose score flags earnings manipulation, fraud and bankruptcy risk for institutional investors. The sales and solutions team was pasting client data into public chatbots. We built self-hosted LLM tooling instead. 90% adoption in four weeks, 30% fewer admin tasks, no more shadow AI.
Read ↗The Hidden Cost of Doing Nothing in Sales & Customer Experience
78% of frequent AI sales users report shorter deal cycles, 70% report larger deal sizes, 76% achieve higher win rates. Inaction in AI isn't neutral — it's expensive.
Read ↗AI in the Beauty Industry: From Information Chaos to Clarity
Professionals spend up to 30% of their time searching for information. Three AI use cases that cut that to near-zero — and drive real impact in beauty and cosmetics.
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