01
Trace every number
Every number traces to a primary source or a stated method.
01
The AI-visibility
research desk.
Shareof.ai research desk · Vol. 01 · Jul—Aug 2026The AI-Visibility
The AI-Visibility
Content Engine.
Original frameworks, technical field notes, and reproducible methods for understanding how AI systems retrieve, cite, and recommend brands.
02
Connect every framework
Every framework links to the evidence and the next practical step.
03
Separate the evidence
Every study separates observations, inference, and limitations.
Research archive
4 matching papers
28Measured studies
Citation-Domain Persistence After One Week: A 177-Series Baseline
A first-to-last comparison of visible source domains across repeated AI answers—and why the result is not yet a citation half-life.
27Measured studies
The Third-Party Citation Tax: 96.5% of Visible Sources Were Off-Site
A 13,593-citation production study showing where AI answer evidence lives, how ownership was classified, and why one connector was excluded.
26Measured studies
Run-to-Run AI Visibility Variance: 1,371 Repeated Answers
A production-data study of 307 repeated prompt-model series and how often exact answers and brand-presence outcomes changed.
25Measured studies
What 240 Buying Answers Reveal About Cross-Model AI Visibility
A measured four-model study of 60 commercial buyer questions, 12 companies, 45 visibility gaps, and the cost of treating one assistant as the market.
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