About Para Labs
Para Labs is an independent AI brand visibility research lab. We publish case studies, experiments, and tactical intelligence on how brands are discovered, cited, and recommended by AI answer engines — including ChatGPT, Perplexity, Gemini, Claude, and Google AI surfaces.
Canonical URL: https://paralabs.ai/about
What this lab is
This site is a research publication. It is not an agency, a software product, or a vendor marketplace. We do not sell retainers, placements, or guaranteed citations from this domain, and we do not represent the platforms we write about.
Coverage focuses on the mechanics of AI-first discovery: citation rate, source architecture, entity clarity, and the measurement methods brands use when rankings no longer describe visibility.
What we publish
- Case studies of brands winning or losing visibility inside AI-generated answers.
- Evidence-backed analysis of citation rate, source selection, and answer-engine measurement.
- Independent research with named sources, so an agent or a reader can verify the claim.
The research index is the human and machine entry point for that corpus. Machine-readable twins are available at the same URL with Accept: text/markdown, or by appending .md.
Editorial standards
Claims carry named sources. We do not invent an office address, phone number, or organizational affiliation to look complete. Material errors are corrected in place. This page is the canonical description of the lab; Contact is the editorial surface for corrections.