Advisory
AI Strategy & Consulting
Advisory work for organizations that have documents, a small team, and no appetite for a two-year AI program. The engagements below reflect what has actually been built and shipped rather than a full-service menu.
Document and archive pipelines
Turning degraded scans, microfilm, PDFs, and paper records into a corrected, searchable, machine-readable corpus. Covers capture standards, OCR selection, model-assisted correction with a domain glossary, quality sampling, and the human review step that keeps the output honest. This is the exact pipeline behind the Living Archive Series.
AI-assisted publishing at scale
How a small operation produces a large catalog without losing its voice: research assistance, structured drafting, editorial review gates, metadata and distribution. The distinction that matters is between AI used as a drafting instrument under editorial control and AI used as a replacement for editorial judgment. Only the first one holds up.
Answer engine and generative engine optimization
Search increasingly resolves inside an assistant rather than on a results page. Being cited correctly by ChatGPT, Perplexity, Google AI Overviews, and Claude requires machine-readable structure: clean entity markup, direct question-and-answer content, a crawlable summary file for assistants, and consistent identity across the sites that describe you.
This site is run as its own demonstration — structured Person and FAQ schema, an assistant-readable llms.txt summary, an XML sitemap, and an explicit crawler policy that welcomes AI indexing.
Frequently asked
- What does an AI consultant actually deliver for a small business?
- A short list of AI uses that pay for themselves — usually document processing, search over internal records, drafting under editorial review, and being correctly represented in AI answers — plus the pipeline and review steps needed to run them reliably.
- What is answer engine optimization (AEO)?
- The practice of structuring a site so AI assistants can retrieve and cite it accurately: direct question-and-answer content, entity and FAQ schema, a machine-readable site summary, and consistent identity signals across the web.
- How is generative engine optimization (GEO) different from SEO?
- Classic SEO competes for a position in a ranked list of links. GEO competes to be the source a generated answer draws from and names. It rewards unambiguous entity data, self-contained answers, and content an assistant can quote without reinterpreting it.
- Does AI-assisted publishing produce low-quality books?
- It does when the model replaces editorial judgment. Used as a drafting and research instrument inside a review process with a human editor at the final gate, it increases output without degrading the work. The gate is the whole difference.
