44 practical guides, templates and decision tools across grant writing and AI search visibility.
Audit methodsAugust 23, 20265 min read
A tool-agnostic AI visibility audit workbook: 34 fields across scope, facts, technical eligibility, prompts, observations, sources, findings, and handoff, as a CSV.
Measurement and reportingAugust 23, 20265 min read
A cross-engine AI citation tracking schema: observation log, citation and mention records, and a sampling plan, with current tool coverage from vendor pages.
Technical eligibilityAugust 23, 20265 min read
Google documents one requirement for AI Overviews eligibility. The matrix sorts circulating claims into documented, control, and invented, each against Google pages.
FoundationsAugust 20, 20266 min read
What ranking in ChatGPT actually means: the four layers you can influence, the crawler decisions that matter, a myth table, and an honest measurement plan.
Audit methodsAugust 7, 20267 min read
Score an AI visibility audit against 47 weighted checks covering scope, facts, technical eligibility, prompts, evidence, and handoff. Includes a CSV download.
Audit methodsAugust 7, 20268 min read
Build an AI visibility prompt set from buyer decisions: four strata, a complete worked 30-prompt panel, freezing rules, and a downloadable CSV worksheet.
Measurement and reportingAugust 7, 20266 min read
A ten-section AI visibility report structure with a downloadable Markdown template, denominator rules, and a worked finding split into observation and action.
Measurement and reportingAugust 7, 20266 min read
Measure AI search visibility with a frozen 30-prompt panel, an observation-log CSV, and rates with visible denominators. No single black-box score required.
Measurement and reportingAugust 7, 20266 min read
The four-layer model of AI search visibility: technical eligibility, evidence, representation, and outcomes, with a diagram and a layer-by-layer diagnosis.
Technical eligibilityAugust 7, 20265 min read
Plain-language comparison of OpenAI's OAI-SearchBot, GPTBot, and ChatGPT-User: what each controls, a decision table, and copy-paste robots.txt policies.
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