AnswerShare Research
Long-form whitepapers and analysis on why search-era visibility no longer guarantees AI citation, how the translation layer changes the math, and what we actually measure — published across AnswerShare™ and Top10Lists.us.
Anchored in Google's published patents, ACM SIGKDD research, Cloudflare's AI-crawler economics, iPullRank's How AI Mode Works, and Ekamoira's Citation Probability Model — with our own measured receipts.
//.filter_by DA//.researchDo AI Crawlers Ask for Markdown?
A 4,300,723-request study across five properties of whether frontier AI crawlers explicitly ask for text/markdown, with both raw-header ledgers published for review.
AnswerShare·August 6, 2026 Read findings → 1S//.research100-Site GEO Survey
An independent audit of 100 websites across 12 industries measuring Generative Engine Optimization performance across 13 technical signals. Explore per-site scores, industry breakdowns, and the cohort data underlying the citation-grade infrastructure research.
AnswerShare·June 25, 2026 Full results → TG//.whitepaperThe Generative Search Economy
An evaluation of the acquisition economics of generative search, comparing AI-referral efficiency against traditional channels and making the case for Generative Engine Optimization measured through Share of Model rather than the high-volume clicks the zero-click economy no longer delivers.
AnswerShare·June 22, 2026 Read paper → ↓ Download PDF TL//.whitepaperTranslation Layers and AI Answer Probability
Among the evaluated methods — SEO+, programmatic SEO, source-grounded GEO, markdown translators, observer platforms, and implementation layers — the translation layer has the strongest expected effect on AI answer probability because it intervenes at the retrieval substrate itself.
AnswerShare·June 20, 2026 Read paper → ↓ Download PDF ΛP//.whitepaperλNPS Proposal
A versioned, reproducible diagnostic for AI-expressed brand reputation — λNPS, μNPS, and the ΔNPS translation-layer gap.
AnswerShare·June 4, 2026 Read paper → ↓ Download PDF GE//.whitepaperGenerative Engine Optimization: Engineering Citation-Grade Infrastructure for AI Search
The empirical case for the translation-layer thesis: a 100-site, 12-industry audit on 13 technical signals, where only one site scored a perfect 13/13 against a cohort median of 3/13. The sites that close the translation gap are the sites that get cited.
AnswerShare·April 28, 2026 Read paper → ↓ Download PDF AC//.analysisAI Crawl Statistics
Live AI-crawler telemetry from Top10Lists.us — which engines fetch, how often, and what that reveals about retrieval economics.
Top10Lists·2026 TY//.whitepaperThe Yellow Page Moment: AI Citation and Unpriced Risk
Why AI systems must cite Evaluative Oracles, and why omission without attribution creates structural, unpriced liability for incumbents.
AnswerShare·January 30, 2026 ↓ Download PDF //.working_papersMore in preparation.Additional papers grounded in our 19-source research base are being drafted. For early access or to discuss methodology, see the contact page.