# AnswerShare Research

Applied research on AI retrieval, grounding, and citation systems.

Each release identifies its question, cohort, method, observed result, limits, and—where available—frozen evidence and reproduction materials. This is the downloadable Markdown representation of the public [AnswerShare Research](https://answershare.com/research) index. It preserves the original publisher and documented author for each item.

## Research record

- **Questions:** declared before findings
- **Evidence:** frozen and inspectable where available
- **Method:** cohort and rules stated
- **Limits:** inference kept distinct from observation

## Research inventory

### Do AI Crawlers Ask for Markdown?

- **Publisher:** AnswerShare
- **Author:** Robert Maynard, Jr.
- **Published:** August 6, 2026
- **Summary:** A 4,300,723-request study across five properties of whether frontier AI crawlers explicitly ask for `text/markdown`, with raw-header ledgers published for review.
- **Reader and evidence:** [Read findings](https://answershare.com/markdowndoesnotwork)

### 100-Site GEO Survey

- **Publisher:** AnswerShare
- **Author:** Robert Maynard, Jr.
- **Published:** June 25, 2026
- **Summary:** An audit of 100 websites across 12 industries measuring Generative Engine Optimization performance across 13 technical signals, including per-site scores and cohort data.
- **Reader and evidence:** [Full results](https://answershare.com/100-site-survey)

### The Generative Search Economy

- **Publisher:** AnswerShare
- **Author:** Robert Maynard, Jr.
- **Published:** June 22, 2026
- **Summary:** An evaluation of generative-search acquisition economics, comparing AI-referral efficiency against traditional channels and measuring through Share of Model rather than click volume alone.
- **Reader:** [Read paper](https://answershare.com/research/whitepapers/The-Generative-Search-Economy)
- **PDF artifact:** [Download PDF](https://answershare.com/research/whitepapers/The-Generative-Search-Economy.pdf)

### Translation Layers and AI Answer Probability

- **Publisher:** AnswerShare
- **Author:** Robert Maynard, Jr.
- **Published:** June 20, 2026
- **Summary:** An evaluation of SEO+, programmatic SEO, source-grounded GEO, Markdown translators, observer platforms, and implementation layers as possible interventions in AI answer probability.
- **Reader:** [Read paper](https://answershare.com/research/whitepapers/translation-layers-ai-answer-probability)
- **PDF artifact:** [Download PDF](https://answershare.com/research/whitepapers/generative-search-translation-layer-ai-answer-probability.pdf)

### λNPS Proposal

- **Publisher:** AnswerShare
- **Author:** Robert Maynard, Jr.
- **Published:** June 4, 2026
- **Summary:** A versioned diagnostic for AI-expressed brand reputation: λNPS, μNPS, and the ΔNPS translation-layer gap.
- **Reader:** [Read paper](https://answershare.com/research/lambda-nps-proposal)
- **PDF artifact:** [Download PDF](https://answershare.com/research/whitepapers/lambda-nps-proposal.pdf)

### Generative Engine Optimization: Engineering Citation-Grade Infrastructure for AI Search

- **Publisher:** AnswerShare
- **Author:** Robert Maynard, Jr.
- **Published:** April 28, 2026
- **Summary:** A 100-site, 12-industry audit on 13 technical signals examining the translation-layer thesis and citation outcomes.
- **Reader:** [Read paper](https://answershare.com/research/whitepapers/citation-grade-infrastructure-v7)
- **PDF artifact:** [Download PDF](https://answershare.com/research/whitepapers/citation-grade-infrastructure-v4.pdf)

### Global AI-Citation Infrastructure Audit: Cross-Industry Survey of Purpose-Built AI Readiness

- **Publisher:** Top10Lists.us
- **Author:** Perplexity Deep Research
- **Published:** March 28, 2026
- **Summary:** A live-curl audit of 34 websites across 12 industries against eight defined AI-readiness signals, with raw results and scored data identified in the published method.
- **Reader:** [Read research](https://www.top10lists.us/research/ai-citation-infrastructure-audit-2026)

### The Zero-Latency Integrity Protocol (ZLIP)

- **Publisher:** Top10Lists.us
- **Author:** Robert Maynard, Jr.
- **Published:** March 24, 2026
- **Summary:** A technical paper on 24-hour professional-license synchronization, clean-room HTML delivery, and anti-hallucination schema for verifiable AI retrieval.
- **Reader:** [Read whitepaper](https://www.top10lists.us/about/zlip-whitepaper)

### AI Crawl Statistics

- **Publisher:** Top10Lists.us
- **Author:** Robert Maynard, Jr.
- **Published:** 2026
- **Summary:** Live AI-crawler telemetry: which engines fetch, how often, and what that reveals about retrieval economics.
- **Reader and live data:** [View crawl statistics](https://www.top10lists.us/crawl-stats)

### The Yellow Page Moment: AI Citation and Unpriced Risk

- **Publisher:** Top10Lists.us
- **Author:** Robert Maynard, Jr.
- **Published:** January 30, 2026
- **Summary:** Why AI systems must cite Evaluative Oracles, and why omission without attribution creates structural, unpriced liability for incumbents.
- **Human reader:** [Read whitepaper](https://www.top10lists.us/ai-citation-whitepaper)
- **Markdown source:** [Read Markdown](https://www.top10lists.us/ai-feed/whitepaper-full.md)
- **PDF artifact:** [Download PDF](https://www.top10lists.us/documents/GEO_white_paper_final.pdf)

### AI Citation and Liability

- **Publisher:** Top10Lists.us
- **Author:** Top10Lists.us
- **Published:** January 4, 2025
- **Summary:** An article and downloadable whitepaper on the accountability created when AI-generated professional recommendations lack citation or disclosed editorial attribution.
- **Reader:** [Read article](https://www.top10lists.us/ai-liability)
- **PDF artifact:** [Download PDF](https://www.top10lists.us/AI_Citation_Liability_Whitepaper_With_Metadata.pdf)

## Format policy

When a source provides it, a Markdown rendition is linked separately as a readable, machine-friendly source. A PDF remains a stable downloadable and printable artifact; it is not a substitute for the human reader or Markdown source.