Para Labs

AI Brand Visibility Lab

Para Labs publishes brand research on how often AI answer engines name brands when buyers ask them to choose. The brand record is rebuilt every day from the Machine Relations Index answer ledger, one page per brand, by category, engine and question type. Lab studies report what we measured about named brands, product sets and the engines themselves. No sponsors, nothing for sale.

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How AI answer engines name brands

675 brands, counted across 36,280 answers from 6 AI answer engines. Data through November 9, 2026.

Cybersecurity

Enterprise Software

Fintech

  • Stripenamed in 742 of 2,000 answers (37.1%)
  • Siftnamed in 122 of 2,000 answers (6.1%)
  • Lithicnamed in 115 of 2,000 answers (5.8%)

Martech & Advertising

  • Salesforcenamed in 341 of 1,305 answers (26.1%)
  • HubSpotnamed in 264 of 1,305 answers (20.2%)
  • Adobenamed in 232 of 1,305 answers (17.8%)

iGaming & Betting

  • Kambinamed in 176 of 1,244 answers (14.1%)
  • GeoComplynamed in 132 of 1,244 answers (10.6%)
  • Altenarnamed in 126 of 1,244 answers (10.1%)

AI Infrastructure

  • Pineconenamed in 270 of 1,630 answers (16.6%)
  • Kubernetesnamed in 266 of 1,630 answers (16.3%)
  • Weaviatenamed in 206 of 1,630 answers (12.6%)

All 675 brands

Latest Research

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Across the six published buyer-question shapes in the Machine Relations Index's Consumer Products category, 27 of the 60 top-ten citation slots belong to domains still graded 'collecting' overall — below the evidence floor that would make their rate stable. Most of the leaderboard is unclassified brand and retailer sites, not the household editorial or vendor names GEO advice assumes.


What this lab studies

Para Labs is an applied research lab from the team behind the Machine Relations Index, founded by Jaxon Parrott. We measure which brands AI answer engines name when buyers ask ChatGPT, Claude, Gemini, Perplexity or Google's AI surfaces to help them choose.

The brand record

One page per brand: how often the engines named it in answers to buyer questions, by category, engine and question type, with the sources they cited. Code rebuilds it every day from the Index's answer ledger.

Lab studies

Studies report what we measured about named brands, product sets and the engines themselves, each with what was tested and its sources stated.

How we classify the evidence

Every count and every study names its source, so a reader or an agent can check the claim. This lab is not an agency, a vendor, or a placement desk. There are no sponsors on this domain, and we do not invent an office address.

Mentions, counted

A brand counts as named when its name appears in an answer. The count does not judge whether the answer endorsed the brand, and it does not measure sentiment.