2ndvector

2ndvector is a marketing innovation lab founded by Francesco Papagni, operating at the intersection of artificial intelligence and digital marketing strategy.

The lab’s primary focus is on emerging search paradigms — specifically Generative Engine Optimization (GEO) and Answer Engine Optimization (AEO): the disciplines concerned with how brands, individuals, and ideas achieve visibility in AI-generated content.

What We’re Building

Research & Methodology

We track how AI systems like ChatGPT, Perplexity, Claude, and Google’s AI Overviews retrieve, cite, and synthesize information. Our research translates into actionable frameworks for brand practitioners navigating the AI search transition.

GEO Audits

We assess how a brand or individual is currently represented in AI-generated answers — and identify the gaps between desired and actual representation. The audit covers entity recognition, citation patterns, structured data quality, and content authority signals.

AI-First Content Strategy

We help organizations develop content architectures that are optimized for both traditional search engines and the next generation of AI answer systems. This includes semantic structuring, entity-based SEO, and llms.txt implementation.

Structured Data & Semantic SEO

From Schema.org implementation to entity-based optimization, we build the technical foundations that make brands legible to both crawlers and language models.

The Name

The name 2ndvector refers to the second direction — the shift from the first paradigm of search (keyword-based, link-ranked) to the second (semantic, AI-mediated). We operate at that inflection point, helping organizations understand and navigate the transition.

Current Status

2ndvector is an active research and consulting practice. Projects are undertaken selectively, in close collaboration with organizations serious about building long-term digital visibility in the AI era.