ChatGPT Already Knows Who It’ll Recommend Before It Searches via @sejournal, @suganthan
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Turn AI Visibility Data Into Actions Turn your AI visibility reports into a prioritized AEO action plan with practical guidance from Ahrefs. ChatGPT writes brand names into its own search queries before fetching a page. I read 60 conversations to find when it happens and what gets you named. Suganthan Mohanadasan 49 seconds ago ⋅ 18 min read Suganthan Mohanadasan Co-founder at Snippet Digital Bio Follow I asked ChatGPT for the best AI note-taking app. Seven words, no brand names. best AI note taking apps 2026 official pricing features Granola Notion AI Otter Fireflies Fathom Mem Limitless Read the tail of that string. Granola. Notion AI. Otter. Fireflies. Fathom. Mem. Limitless. Seven products in one search. I’d named none of them, and nothing had come back from the web search yet, so no result put them there. Those names came out of the model. site:granola.ai pricing features AI meeting notes 2026 site:otter.ai pricing AI meeting notes 2026 site:fathom.video pricing AI meeting assistant 2026 site:notion.com product AI Meeting Notes official 2026 pricing site:fireflies.ai pricing official AI meeting notes 2026 site:mem.ai pricing AI notes official 2026 site:notebooklm.google official features pricing 2026 That’s the fan-out I wrote about in the first two parts, and now you can see what it’s made of. One search to name the shortlist, then one search per name on that shortlist, each pointed straight at that company’s own website. So the fan-out was never a search for candidates; it was ChatGPT going down a list it already had, one name at a time. In the first two parts, I wrote that you need to survive a site:yourdomain.com probe, because ChatGPT runs them. It only runs one on you if you were named in that first search. Miss the shortlist and your website never gets looked at, however well built it is. The decision happens before anything touches your server. I’ve spent two months reading this traffic for part 1 and part 2. This is the first thing I’ve found that changes what I’d tell a client to do. Before you read any further, all of this comes off one account, so every percentage below is a direction rather than a measurement. The mechanism is a different matter. You can reproduce that on your own account in two minutes, and I’ll show you how at the end. When you ask a question, ChatGPT rewrites it into search queries of its own, runs them, reads what comes back, then writes an answer. Those queries sit in the response your browser downloads, under a key currently called search_queries. OpenAI renamed it from search_model_queries in early August 2026. Nothing about this is a leak. Your own browser needs that JSON to draw the page, and you can read it in DevTools on your own account in about two minutes. Recipe’s at the end. best AI live chat customer support software 2026 Intercom Fin Zendesk AI pricing official I asked for “best ai based live chat support software.” It added the year, “official,” “pricing,” and three names. Start here. Open ChatGPT, ask the “best [your category]” question your buyers ask, and read the query it writes back. That one string shows you whether ChatGPT knows your brand exists, which is what AI visibility audits are sold to answer. Everything else in this article is about what to do with what you find in it. The obvious objection to my note-taking example is timing. Maybe ChatGPT searched once, saw those brands, then wrote a smarter second query. That’d make the names a result of retrieval rather than a cause. So I tested it properly. For each conversation, I took the first user message and the first search query, ordered by timestamp. At that point nothing’s been fetched, so there’s no earlier result to have learned from. In 21 of 27 conversations, that first query contained brands the user never typed. Look at rows two and three. Same question, slightly different phrasing, and the list grew from three names to seven. The list stretches with how you ask instead of coming out of a fixed table. Then I ran 12 categories that have nothing to do with each other, to check this wasn’t a software thing. The robot vacuum row is the one that got me. Recalling that Roborock exists would be unremarkable. It recalled Saros, Dreame X50, and Eufy S1 Pro. Current model numbers, in the first query, unprompted. Whatever this knowledge is, it goes down to the product line. The electric SUV row does something different from all the others. For accounting and therapy and hosting, it named vendors and went to their pricing pages. For cars, it named magazines. Car and Driver, Edmunds, Top Gear. In one category, its instinct is to go to the makers; in another, the reviewers. I got excited about that and then re-ran three categories to see if any of it holds still. Language learning barely moved. Five of six names came back the same. Accounting collapsed from six vendors to a single targeted probe at QuickBooks. Web hosting switched sides completely, dropped every vendor and went to a review site instead. So vendors versus magazines is a tendency that can flip between runs, not a fixed property of the category. Two things survive that. The injection happened every single time, and the category with the clearest market leaders kept its names. My guess is that settled categories have stable shortlists and contested ones wobble, but three repeats isn’t enough to say that. Don’t judge your AI visibility from one answer. Run the question five times, because the list changes between runs. Every query up to this point had the word “best” in it, so that was the first thing I tried to break. I ran twenty-four more queries that avoided the word, across seven different shapes. “Best” turned out to have nothing to do with it. What matters is whether ChatGPT has to come up with the products itself. When it doesn’t search at all, none of this applies. Ask how noise-cancelling works, or what a vector database is, and it answers from training with no web search. Same for open-ended moaning. “We are spending too much on customer support tooling” got no search either. Seven of my twenty-four never touched the web, so there was no shortlist to get onto. Name the brands yourself, and it takes them. “Xero or QuickBooks for a small business” went straight to site:xero.com/uk. “Should I use HubSpot for a small agency” went to site:hubspot.com. Leave the candidates to it, and it reaches into memory. That happened in ten of the eleven cases where I asked for a recommendation without naming anything. The third row is my favorite. I deliberately avoided saying “robot vacuum” and named nobody. It went to a specific Roborock model’s own website on the first search. Row two should worry you if you sell software. That’s a complaint, not a shopping question. Somebody grumbling about their meeting notes got turned into Granola official pricing before a single page was fetched. And there’s a version of this aimed straight at your competitors. All three of my displacement queries pulled in new names. “Alternatives to Zendesk” produced Help Scout; “what can i use instead of quickbooks” produced Zoho Books; and “something like duolingo but better for grammar” produced Kwiziq and Babbel. When your customer goes looking for a way out of your rival, ChatGPT nominates whoever it already knows. That could be you, and you don’t get a say in it on the day.
Source: Search Engine Journal
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