Field notes

Search growth notes with an evidence trail.

Practical notes on intent mapping, human review, answer-engine observation, and measurement.

Field note·Measure

Four metrics for an AI-assisted content operations workflow

Measure research quality, editing effort, factual reliability, and publication throughput before claiming productivity gains.

Field note·Learn

Why clear sources, version dates, and scoped claims matter when both people and models reuse your content.

Field note·Implement

The minimum fields that connect a search query, buyer decision, evidence set, page structure, and measurement plan.

Pillar·Implement

A lean way to turn buyer questions into pages without turning a young content program into a keyword spreadsheet.

Pillar·Measure

A repeatable observation method for brand mentions, links, and answer accuracy across answer engines.

Pillar·Implement

A review workflow that uses AI for speed without publishing invented claims, generic advice, or unsupported comparisons.

Field note·Measure

A practical weekly sequence for diagnosing crawlability, index coverage, query fit, and early click-through signals.

Field note·Implement

The small set of technical checks that make a new content site crawlable, canonical, measurable, and safe to iterate.

Field note·Measure

A minimal operating log for connecting content changes, technical changes, observations, and next decisions.

Field note·Compare

A decision framework for matching channel choice to demand maturity, learning speed, landing-page readiness, and budget.