Strac Holds Top 10, Then Falls to 309th
Measured against the Machine Relations Index, Strac.io ranks top 10 in one AI Security & Privacy buyer shape and rank 309 of 356 in another.
AI Brand Visibility Lab
Para Labs counts 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.
481 brands, counted across 30,072 answers from 6 AI answer engines. Data through October 26, 2026.
Biggest moves up, last 28 days vs the 28 before:
Measured against the Machine Relations Index, Strac.io ranks top 10 in one AI Security & Privacy buyer shape and rank 309 of 356 in another.
In the September 29 Machine Relations Index, acorns.com ranks first among 187 sources in Consumer Finance comparison answers, with a 37.5% citation rate, but records no published citation rate in best-tools or ranked-list answers.
Across the 220 pairs of buyer questions the Machine Relations Index publishes inside a single category, the two top-ten source lists share a median of 2 domains. Grouping the questions into shopping and research families predicts nothing: two shopping questions overlap no more than one of each. The sources that do carry are platforms, not publications.
Reddit ranks first in four of six Machine Relations Index Emergent Prosumer shopping shapes and top three in all six.
Seven releases ago we named hubspot.com, zapier.com and adyen.com as the next vendors likely to hold a top-10 AI citation slot in two shopping question shapes. On the 2026-09-26 Machine Relations Index release hubspot.com does. The other two are unchanged to the single observed run, because their segments were never observed again — which means our own falsifier was untestable as written.
Measured against the Machine Relations Index, the 43 published shopping-shape segments of the 2026-09-25 release cite a median 233 distinct domains each — and in the median segment only 13 of them appear in at least one answer in ten, while 44.4 percent appear exactly once. The pool a brand joins and the pool a brand competes in are different sizes.
Measured against the Machine Relations Index, six named wellness and supplement brands — Nature Made, Vitamin Shoppe, GNC, Nordic Naturals, Liquid I.V. and NOW Foods — hold sharply different citation ranks in AI head-to-head comparisons than in AI best-tools and top-list answers, in the same Consumer Health category, over the same window.
Across six named robo-advisor and brokerage brands, every one ranks far higher in AI comparison answers than in best-tools roundups for the same category — measured against the Machine Relations Index.
HR & Talent's first published buyer-choice leaderboard is mature enough to cite and too young to treat as a category verdict. Pin.com leads the how-buyers-choose shape with 14 of 101 observed runs; Lever.co holds rank 10 with 8. Seven domains sit at 8 or 9 cited runs, and the first editorial publication is rank 11 with the same cited-run count as rank 10.
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.
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.
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.
Studies report what we measured about named brands, product sets and the engines themselves, each with what was tested and its sources stated.
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.
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.