85% of your AI visibility lives on sites you don't own

Across the 40 Shopify stores in our pre-launch cohort, ChatGPT cites the same 6 third-party sources in roughly 70% of product-recommendation queries. Two of the six are subreddits. None of the six are the merchants' own stores.

The public research now backs that pattern at scale. In October 2025, AirOps classified 21,311 brand mentions from 500+ commercial discovery queries, run against GPT-5, Claude Sonnet 4.5 and Perplexity Sonar. 85% of the mentions were attributed to third-party sources. 13.2% came from the brand's own domain. The remaining 2% carried no citation at all.

You can rewrite every page you own, and most of the answer a shopper gets is still decided on pages you don't. This post maps where that 85% lives, and which numbers separate the sources that matter from the rest. Then: what to do about it on a store this month.

The five numbers this post is built on. Each is unpacked, with method and caveats, in the section it belongs to.

Where do AI assistants find the brands they recommend?

The AirOps study asked the discovery questions a buyer asks before a shortlist exists: "best [category] tools", "top [category] options". A citation, throughout this post, means the source an assistant names behind its answer. Each brand mention in each answer was classified by its citation: first-party (the brand's own domain), third-party (someone else's domain) or uncited. The result is the 6.5-to-1 ratio: a brand is 6.5 times more likely to be mentioned via someone else's page than via its own.

One caveat before you act on it. The study ran on software categories: CRM tools, HR platforms, marketing software. Nobody asked GPT-5 about camping fridges. But the mechanism is what transfers, and it matches what we log in our cohort's retail categories. The recommendation forms on third-party pages. Your own site gets consulted for the details.

The first-party slice makes that split visible. Among brand-domain citations in the AirOps data, product pages carried 19.3% and homepages 7.1%. The models reach for your own pages when the question shifts from "who should I consider" to "show me the details": price, dimensions, compatibility, stock. Your product page is the verification layer. The discovery layer is elsewhere.

The split also differs by model. Claude and Perplexity cited brand-owned pages most, between 13% and 21% of mentions depending on category. GPT-5 cited them least, between 4% and 11%. If your category's buyers lean on ChatGPT, your own domain is doing even less of the work than the headline number suggests.

Nine in ten third-party mentions are listicles, comparisons or reviews

The third-party share is not spread evenly across the web. In the AirOps data, nearly 90% of third-party mentions came from three formats: listicles, comparison articles and reviews. The "best of" round-up is not one channel among many. It is the channel.

Placement inside those articles matters almost as much as inclusion. 80% of the brands mentioned by the models appeared among the first three names discussed in the cited article. The models lift from the top of the piece. A passing mention as the eighth entry in a round-up rarely makes it into an answer.

For a Shopify merchant the format list translates directly. The Wirecutter guide and the Outdoorsmagic group test for your category. The "[product] vs [competitor]" comparison posts. And the review platforms: Promptwatch's late-2025 tracking puts Trustpilot fifth among ChatGPT's most-cited domains.

Review text deserves more attention than review scores here, because the models quote text. "Kept food frozen for 48 hours off a 100Ah leisure battery" hands an assistant a fact it can lift into an answer. "Great fridge, fast delivery" hands it nothing. When you ask buyers for a Trustpilot review, ask them to name the product and what they used it for.

Each assistant reads a different web

The first mistake the data punishes is relying on your own site. The second is treating the assistants as one channel. Profound's analysis of 30 million citations, logged between August 2024 and June 2025, shows three assistants leaning on three different webs:

Source: Profound, 30 million citations across ChatGPT, Google AI Overviews and Perplexity, August 2024 to June 2025, as reported by Search Engine Roundtable.

The runners-up tell the same story differently per engine. Reddit took 11.3% of ChatGPT's top citations in the same dataset. Wikipedia, ChatGPT's number one, managed only 5.7% in Google AI Overviews, where YouTube ran close behind Reddit.

Semrush's later 13-week study (230,000 prompts, weekly snapshots from July to October 2025) adds two patterns worth knowing. LinkedIn rose across every platform it tracked, and Google's AI Mode cited it in nearly 15% of responses. And AI Mode's top domains were almost all properties Google owns or partners with: LinkedIn, YouTube, Reddit, Google's own sites.

The overlap between assistants is smaller than most merchants expect. In the AirOps data, 68% of brands were mentioned by only one of the three platforms tested. Within a single model, between 37% and 52% of the brands it mentioned appeared nowhere else. Being the default answer in Perplexity tells you nothing about ChatGPT. Testing one assistant tells you about that assistant. For the per-engine detail, including which source formats each one favours, see what ChatGPT, Claude and Gemini cite when shoppers ask what to buy.

Mentions beat backlinks, on the numbers

The strongest public evidence on what correlates with AI visibility comes from Ahrefs' study of 75,000 brands in Google AI Overviews. Branded web mentions, linked or unlinked, correlate at 0.664. Backlinks correlate at 0.218. Domain Rating sits between them at 0.326. The top three factors in the whole study are all off-site signals.

The distribution behind those coefficients is steep. Brands in the top quartile for web mentions earned a median of 169 AI Overview mentions. The next quartile down: 14. The bottom half of brands: between zero and three. Of the 75,000 brands studied, 26% never appeared in an AI Overview at all. If your brand sits in the lower half of web mentions for its category, the assistants barely know you exist.

Seer Interactive found the same shape for ChatGPT: backlinks correlated at 0.10 and domain rank at 0.25, while Google organic keywords correlated at 0.65. Your Google footprint still feeds the retrieval layer, which is why the on-store work in how AI assistants pick which Shopify store to recommend still applies. But past that baseline, the marginal hour goes further earning one named mention in a ranked round-up than acquiring one more link. Ahrefs' Ryan Law has made the mechanism explicit: unlinked mentions do little for classic SEO and a lot for AI visibility. Language models build their picture of a brand from words on pages, not from the link graph.

The source mix is not stable

Whatever mix of sources feeds your category's answers today, it can be repriced without notice. Semrush's weekly tracking caught this happening. In early August 2025, ChatGPT cited Reddit in close to 60% of responses. By mid-September it was roughly 10%. Wikipedia fell from about 55% of responses to under 20% in the same window. Nothing comparable happened on AI Mode or Perplexity.

The cause is unconfirmed. Google removed its num=100 search parameter in mid-September, and the timing fits. Semrush's head of organic and AI visibility reads it as deliberate rebalancing by OpenAI to stop over-citing a handful of domains. Either way, the weighting moved roughly six-fold inside six weeks, on one platform, with no announcement. Reddit and Wikipedia stayed ChatGPT's two most-cited domains, but Medium, Forbes and LinkedIn closed the gap.

That is the operational risk in the 85%. A merchant whose category answer leaned on two subreddits, as the cohort pattern suggests many do, would have watched that channel shrink six-fold over six weeks. The merchants who noticed were the ones measuring weekly. Everyone else found out whenever they next thought to ask ChatGPT about their own category.

What to do on your store this month

The four-week on-store sequence covers speed, schema and product feeds. This is the off-store half, one action per finding:

CitoRank runs your category's buyer-intent queries against ChatGPT, Claude and Gemini, and names every source behind every answer. When a platform like Reddit gets repriced, you see the shift that week. See how the audit runs or compare plans.