Scott Krauss
Advising professional services firms on brand-narrative control in the AI layer. GEO, agentic commerce, and the shift of discovery from ranked search to synthesized answers.
About
Scott is the founder of MadTech Growth, a Generative Engine Optimization and agentic commerce advisory for professional services firms in the NYC tri-state area. He works with law firms, wealth management and RIA practices, medical and specialty practices, and insurance brokerages — categories where buying decisions are driven by trust, credentials, and reputation, and where AI-mediated discovery is quietly reshaping how prospects find and evaluate firms.
His core thesis: GEO is not a visibility tactic — it is brand reputation management for the AI layer. When a prospect asks ChatGPT, Perplexity, Claude, or Gemini about a category, the AI's answer is the firm's first impression. Firms that cede that surface to competitors cede market share before a conversation ever happens.
MadTech Growth operates a deliberate "diagnosis without prescription" model — free AI Presence Snapshots as lead-gen, paid full audits that clients own outright, and optional retainers for execution. The structure separates the diagnosis from the sale so that firms can trust the assessment without feeling pushed toward the prescription.
Areas of expertise
Generative Engine Optimization
Multi-run measurement methodology, citation-source analysis, and platform-specific optimization across ChatGPT, Perplexity, Claude, Gemini, and Google AI Overviews.
Agentic Commerce Readiness
Preparing professional services firms for the agentic layer: machine-readable intake paths, llms.txt architecture, and agent-evaluation signal design.
Brand Authority Architecture
Building the third-party citation footprint, expert positioning, and E-E-A-T signal density that AI systems weight most heavily for professional services queries.
Answer Engine Optimization
Content pattern engineering for citation extraction — direct-answer leads, citation-optimal paragraph density, schema depth, and verifiable fact cadence.
Published writing
- How AI Agents Choose Which Businesses to Recommend (And How to Be One of Them)
- Content Strategy for LLM Narrative Control
- GEO Measurement: Invest Anyway
Speaking & press
Background
What Scott writes and advises on
Scott's work focuses on the intersection of AI-mediated discovery and high-consideration professional services buying. Recurring themes include:
Narrative control over keyword tactics. Traditional SEO optimizes for ranking against searches. GEO optimizes for how a firm is described inside AI answers — the narrative the AI constructs when a prospect asks about the category. For reputation-sensitive firms, the narrative matters more than the ranking.
Measurement rigor in a non-deterministic medium. LLM outputs vary substantially across runs. Scott advocates a ≥10-run-per-prompt measurement standard because anything less produces noise that firms then invest against. Rigor at the measurement layer is what makes GEO investment defensible.
The agentic transition window. Agentic commerce is not a 2028 problem — it is a 2026 positioning opportunity. The firms whose intake, scheduling, and service data are machine-readable in 2026 will be the default recommendation when the agentic layer matures over the following two years.
Work with Scott
MadTech Growth engagements start with a free AI Presence Snapshot — a short, written read on how your firm appears across the AI systems your prospects actually use. No obligation. It's how every client relationship begins.
Request a free AI Presence Snapshot.
A short, written assessment of how your firm is showing up across ChatGPT, Perplexity, Claude, and Gemini — and where the biggest visibility gaps are. No obligation.
Request Your Snapshot