How Lilypath reads what AI reads.
Your profile is the prompt AI uses to understand who you are. Lilypath makes that interpretation visible, measurable, and governable — through a patent-pending Authority Intelligence™ system.
The four steps.
Ingest & normalize your signals
We gather the professional signals AI systems actually see — your LinkedIn profile, mentions, sources, and cross-web consistency — and normalize them into one comparable picture.
Score against our models
Proprietary scoring models rate how clearly and confidently AI interprets your authority, benchmarked against your peers and persona.
Generate the Blueprint
Automated generation logic turns the gaps into a specific, persona-built set of changes — the patented system built into every Blueprint.
Monitor & benchmark over time
The Authority Intelligence OS re-runs the graph as models change, tracks your trajectory, and flags what to fix next.
What the Authority Graph measures.
Search presence
Whether you surface at all when the engines are asked about your space.
Authority framing
How the models characterize your seniority, scope, and expertise.
Recommendation strength
How often AI actively recommends you, not just mentions you.
Concept & citation ownership
The ideas and sources the engines attribute to you.
Drift & hallucination risk
Where the answer diverges from your real record over time.
Source of truth
The record you control, that every read is tested against.
Why this can't just be prompted.
LLMs generate polished text, but they lack the positioning expertise, curated research dataset, and scoring methodology our co-founders built. Replicating the result would mean building the whole system from scratch.