About Para Labs
Para Labs is an editorially independent applied research lab from the team behind the Machine Relations Index. 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.
Related-party disclosure
Para Labs shares ownership with AuthorityTech, an AI-visibility agency, and with the Machine Relations Index. Editorial independence here means the experiments, the sources, and the conclusions are ours; it does not mean this lab is unaffiliated. Where a study cites AuthorityTech's own published figures, they are AuthorityTech's reporting and not independent corroboration of it.
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.
- Editorially 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.
Which Para Labs this is
Para Labs at paralabs.ai is an AI brand visibility research publication. It is not Para AI Labs (parailabs.com), a platform that lists AI training, evaluation, and data-annotation jobs. The two share no ownership, staff, products, or content. If a description of "Para Labs" mentions AI trainer jobs, freelance projects, or hourly pay ranges, it describes that other organization, not this lab. The canonical description of this lab is this page.
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.