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Barkhausen AI
A typeset page from William Gilbert's De Magnete (1600), with a terrella woodcut — an early document of record in the science of magnetism.

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Archive

Every convention, paper, and note, by document identifier and date.

William Gilbert, De Magnete (1600) · Public domain

2026

IDKindTitleDate
—NoteParaphrase brittleness in production recommendation: what one 2026 study measured2026
BA-DI-3NoteTwo ways to count an llms.txt file, two adoption rates2026
BA-MN-5Method noteHow to read an 'accessibility improves rankings' claim2026
—NoteDon't Measure Once: what six weeks of repeated AI-search sampling showed2026
BA-DI-2NoteCrawl-delay: a directive written more often than it is read2026
—NoteContent Signals in robots.txt: what the proposal says and what it can enforce2026
BA-DI-1NoteA comma in a User-agent line: a group no crawler matches2026
BA-MN-4Method noteBase rates and regression to the mean in visibility claims2026
—NoteProtocols for agent access: the landscape at concept level2026
BA-D-2026-05CensusThe JavaScript wall at the university front door: a raw-versus-rendered census of homepage text2026
BA-D-2026-03CensusStructured data on the homepage: a JSON-LD census of 2,000 domains across four sectors2026
BA-W-2026-04WhitepaperThe measurement gap in AI-visibility tooling2026
BA-D-2026-04CensusWho is in the corpus pipeline's front door: a Common Crawl coverage census of 2,000 domains2026
BA-C-7ConventionTerminology for AI-visibility measurement2026
BA-C-8ConventionA query-intent taxonomy for visibility measurement2026
BA-MN-2Method noteWhy time windows matter2026
BA-MN-3Method noteSurvivorship bias in visibility case studies2026
—NoteReading the accessibility tree: what platform documentation says software sees2026
BA-D-2026-02CensusInternational-readiness of university homepages: a raw-HTML census of hreflang, canonical, and language signals2026
BA-R-2026-02ReportAI visibility in Chinese study-abroad decisions: a pre-registered study protocol2026
BA-W-2026-03WhitepaperMachine readers of the web: how search optimization, generative engine optimization, and accessibility relate2026
BA-D-2026-01CensusAI-crawler access across four sectors: a robots.txt census of 2,000 domains2026
BA-C-5ConventionReporting checklist for AI-visibility studies2026
BA-C-4ConventionMinimum disclosure requirements for AI-visibility claims2026
BA-C-6ConventionA taxonomy of AI-related crawlers2026
—NoteThe GEO experiment: what a controlled study showed about content and AI answers2026
—NoteWhat robots.txt does and doesn't control for AI crawlers2026
BA-MN-1Method noteHow to read a visibility percentage2026
BA-W-2026-02WhitepaperAn introduction to AI visibility measurement2026
BA-W-2026-01WhitepaperMeasuring AI visibility: statistical requirements and common failures2026
BA-R-2026-01ReportAI in education decisions worldwide: a review of the public evidence2026
BA-C-2ConventionVisibility metrics2026
BA-C-3ConventionSampling-protocol requirements2026
BA-C-1ConventionThe Barkhausen Ladder2026