I help organizations be found and understood by AI search and answer engines — structuring information so assistants can interpret it, trust it, and cite it. That work draws on thirty years in search, and it sits alongside AI strategy, product design, prototyping and workflow improvement. Available for independent consulting, fractional advisory, and contract engagements.
I've worked in search and SEO since the mid-1990s—watching discovery evolve from early search engines to Google and now to AI systems that increasingly answer questions directly.
That experience now informs my AI consulting work. I served as CEO of Web Ignite with direct P&L responsibility; at Overstock.com, I led two SEO development teams and one international development team—approximately 15 developers/programmers and 3 QA professionals—while coordinating technical priorities with the CTO and NOC organization. Business development for Jury Analyst (2021–2026), a litigation analytics company, working with plaintiff law firms and trial attorneys. Today I apply that combination of business, technical, and client-facing experience to AI adoption, product design, workflow strategy, and SEO/GEO/AI search.
I also volunteer as a certified SCORE mentor, helping small-business owners and entrepreneurs with business strategy, digital growth, AI adoption, and practical problem-solving.
Before a visibility gain, citation increase, or traffic change deserves the label ROI, it must pass two tests: how close the outcome is to business value, and how convincingly it can be attributed to the intervention.
AI visibility is becoming easier to measure, but harder to interpret. Here’s how business owners can understand what citations, brand mentions and visibility scores actually tell them—and what they don’t.
Google’s query fan-out offers a useful reason to review the questions your content answers. Here’s a practical approach to helping customers decide, without promising AI citations.
Originally conceived around service visibility, then repositioned through market feedback toward fundraiser participation, donors and sponsor visibility.
Designed an evidence-first workflow for journalists that moves claims from submission through private verification, sourcing and editorial publication decisions.
Private application for school administrators to conduct classroom observations, identify instructional patterns, track teacher goals and support coaching.
Private application
Rapid Prototyping & Product Exploration
Selected Experiments
Firehouse Ready, Straight Up and other small applications built to test how quickly domain expertise and AI-assisted development can turn an idea into a functioning product.
Selected experiments
04 — Method
How I Evaluate & Build
01Evaluate
02Problem
03Research
04Validate
05Requirements
06Prototype
07Test
08Refine
09Position
10Launch
AI dramatically accelerates development. It doesn’t make every idea worth building. I first evaluate the business opportunity—market evidence, customer access, founder advantage, cost to test, scalability, and economics—then look for the fastest practical way to validate the key assumptions. Only after the evidence is strong enough do I move into requirements, prototyping, testing, refinement and launch.
The goal isn’t to prove an idea is good. It’s to find out quickly and inexpensively whether it deserves more investment.
05 — Principles
Practical AI.Human judgment.Shared benefit.
I help businesses use AI thoughtfully—to save time, strengthen their teams, and serve customers better. My consulting combines business strategy with practical testing, clear limits, and human accountability, while respecting privacy and the knowledge people contribute.
My aim is to contribute to an AI future that expands human capability, preserves meaningful choice, and shares benefits broadly. Through each project, I strive to make responsible AI adoption a practical part of everyday business.
06 — The Deliverable
Inside a Semantic Structure & AI Retrievability Audit
Every engagement produces a scored diagnostic of how legible a site is to AI answer engines, plus a companion Fix-It report with implementable artifacts. The example below is an illustrative sample — not a real client audit.
Illustrative sample — not a real client. Select to open the full report.
Interested in working through an idea together?
I work with business owners, agencies, and independent professionals to clarify problems, evaluate ideas, and turn promising approaches into practical next steps. That can mean improving a workflow, testing a product concept, or understanding how a business gets found through search.
I’m open to independent consulting, fractional advisory, contract work, and selective collaboration with people whose skills complement mine. If there’s a useful problem we could work on together, I’d welcome a conversation.