Answer first: the four major AI engines source their manufacturer recommendations from almost entirely different universes — only ~11% of domains are cited by both ChatGPT and Perplexity (Search Atlas, 5.5M answers). A single strategy cannot cover them. Below: what each engine actually cited in our category across 120 measured runs, and the play for each.
In our 30 runs, Perplexity's manufacturer answers were fed by B2B directories and competitor product pages — it is also the engine whose citations overlap most with Google's top 10 (28.6%, Ahrefs), so classic SEO still matters here. Its citation pool rotates violently: we watched a 100% query hit 0% in 48 hours.
The play: marketplace listings titled in the buyer's exact phrasing, structured spec fields complete, plus YouTube factory footage. Re-measure every 2 weeks — wins here decay fastest.
ChatGPT reads owned websites deepest of the four — and remembers them: 100% of its Yanse citations in our test still pointed to the legacy domain weeks after our 301. It favors entities corroborated by Wikipedia-grade and editorial sources, and rewards citable on-page passages.
The play: answer-first pages with statistics, quotations and named sources (the KDD 2024 trio, +30–40% visibility); aggressive entity unification (sameAs + 301) and patience — domain memory refreshes on its schedule, which our Scoreboard #2 will time.
Gemini gave us 100% visibility (30/30, median rank #1–3) on the strength of deep owned-site crawling — Google AI surfaces are also the one place where classic SEO carries through (99% of Google AI Mode citations come from top-20 organic results, Bounteous). The catch: 38% of its domain mentions for us were hallucinated variants.
The play: keep the owned site server-rendered, schema-complete and date-stamped; defensively register the domains it invents and 301 them home; repeat the brand-name-plus-domain pairing across every public property.
Claude's manufacturer answers ran almost entirely through B2B aggregators — accio.com appeared 104 times in 30 runs, Alibaba 73. Industry data shows Claude also over-weights medical/reference sources (10.85% vs 6.3% average) and reuses the same authority domains across languages more than any other engine.
The play: audit and claim your accio.com and Alibaba aggregate presence first — it's effectively Claude's index for this category. For skincare claims, dermatologist-grade sourcing pays double here.
Across all engines, third-party corroboration beats self-description: brands are 6.5× more likely to be cited via third-party sources than their own domain, and brand mentions correlate with AI visibility at r=0.664 versus r=0.218 for backlinks. Own your entity; let others say your name.