Frequently asked.

Three co-founders: Erin Lanuti (CEO, GEO pioneer), Dan Nestle (Chief Product & Intelligence Officer, 25+ years of Fortune 500 communications, PRWeek AI Pioneer), and Todd Grossman (COO, 20+ years in media and technology, a former CEO with successful exits). Meet them on the About page.

It grew from Dan Nestle's 25+ years of executive communications work. After LinkedIn deployed AI reasoning engines, Dan recognized the shift to a world where systems interpret you first, developed the diagnostic tools and scoring rubrics, and later partnered with Todd Grossman and Erin Lanuti.

Lilypath's patent-pending framework for understanding how AI systems interpret professional authority — making it visible, measurable, and actionable through a Comprehensive Blueprint with copy-ready rewrites.

Every Blueprint is generated by Lilypath's patent-pending Authority Intelligence™ system — proprietary scoring models, a curated research dataset, and automated generation logic. Co-founder Dan Nestle architected the methodology.

Most services focus on human perception, but LinkedIn's AI makes the first visibility decision. Lilypath's patent-pending methodology is built specifically for how AI systems evaluate professionals.

Lilypath's methodology is subject to a filed patent application covering the system architecture — from how we ingest and normalize your professional signals through how we score, benchmark, and generate recommendations.

Yes. If you're not satisfied with the quality and actionability of your Blueprint, contact us within 30 days and we'll make it right. We can't guarantee specific outcomes like job offers.

Your profile PDF and intake responses generate your Blueprint and improve the methodology. Personal information is not sold. Data is retained up to three years; deletion is available on request.

Student, Job Seeker, or Authority Builder — plus profession tracks for Engineers, Attorneys, and Accountants & CPAs. Choose the track that reflects your primary goal.

Yes — For Engineers, For Attorneys, and For Accountants & CPAs, all using the same methodology calibrated to profession-specific credentials and standards.

Typically within 30 minutes of completing your intake form, though times vary with supplemental uploads and system usage.

Download your LinkedIn profile as a PDF (about 30 seconds), then upload it through our secure intake form with optional documents.

Authority 360 ($1,200/year) keeps it true: your Blueprint is re-run every year, your profile is re-scored twice a year, and we check what AI says about you every month — with an alert the moment the answer changes.

They focus on polished text for human subjectivity. Lilypath provides intelligence — a scored diagnostic of how AI interprets your authority today, plus recommendations to correct it.

Yes for most paths. The Attorneys Blueprint can't be gifted, because bar advertising rules require the attorney to review and approve their own profile language.

LinkedIn uses multiple AI systems to read profiles across job matching, recommendations, and feed ranking. They value consistency, perform better with comprehensive data, and understand natural language — clear prose beats keyword lists.

At the retrieval stage, at the ranking stage (Generative Recommender), and in the systems that read a complete profile rather than a single post — the Skills Graph and Hiring Assistant among them. All seek consistency, improve with context, and process natural language.

We ground the methodology in LinkedIn's published engineering research and conference talks on the systems they have deployed — retrieval, the Generative Recommender, the Skills Graph and Hiring Assistant — and we test it against what the models actually return. Where we cannot point to a named source, we say so rather than reach for a number.

LLMs generate polished text but lack the positioning expertise and patent-pending methodology built into every report. Strategic judgment can't be prompted.

The initial focus is LinkedIn, given its advanced AI infrastructure. The methodology is designed to extend to additional platforms as AI-mediated discovery evolves.