Rank in ChatGPT tracking: why API checks miss most of the pages ChatGPT cites

If you want to rank in ChatGPT, you need to know whether you're being cited at all, and a new preprint suggests the shortcuts most people use to check only see part of the picture. Search Engine Journal reported on October 18 that researchers at the National University of Singapore and Xi'an Jiaotong University compared ChatGPT's real citations against Google results and OpenAI's Responses API. Combined, those two stand-ins found only 26.2% of the pages GPT-5.5 Instant cited, but 48.7% of the sites behind them.

What the researchers actually measured

The team recorded what ChatGPT's web app did in their own signed-in sessions: the searches it ran, the pages those searches returned and the pages it chose as sources. They ran 80 real questions from the public Search Arena dataset, 40 in English and 40 in Chinese, 20 times each on GPT-5.3 Instant and GPT-5.5 Instant, mostly between March 29 and July 29, 2026. It's an arXiv preprint, so it hasn't been peer reviewed, and it didn't test any commercial tracking tool.

Three findings matter for ChatGPT SEO. ChatGPT never searched with the exact wording of the question on GPT-5.3 or GPT-5.5; it rewrote it into its own queries. Answers moved a lot between runs, with 44.5% of the distinct pages for a question showing up in only one of 20 GPT-5.5 runs. And for Chinese questions, roughly two-thirds of runs with visible searches searched only in English.

What we change in how to rank on ChatGPT

• Track at two levels: is your site cited, and is the specific page you built for that question the one cited.
• Run each important prompt several times before calling it a win or a loss. One screenshot proves very little.
• Write pages for the searches ChatGPT is likely to run, not only the exact question a customer types.
• Note which model produced each answer, and re-test after every model change. Everything in this paper predates GPT-5.6 and GPT-6.
• If a tool reports page-level results, ask whether its data comes from the API or from the ChatGPT app itself.

This lines up with what our sister agency CheapAITraffic found about why ChatGPT visits keep landing in Direct: clicks from AI answers are already hard to see, so citation tracking has to be honest about its own blind spots too.

Why ChatGPTKing is the best fit for this kind of work

ChatGPTKing focuses on one job: AI answer optimization for ChatGPT and the other assistants. Prompt retests and upkeep after model changes are already a named step in how we work, so a finding like this changes our checklist, not our pitch. We rewrite the pages that should win specific questions, fix the crawler and rendering plumbing, and report what we can actually observe. We are not affiliated with OpenAI, we don't sell placements, and we won't promise a number-one spot. When a page needs a broader rewrite, BuyAISearch's note on ChatGPT leaning on primary sources is a useful companion, and visibility pushes run as AI discoverability campaigns on neetbros.

Want this done for you? Start with our free AI discoverability audit. Campaigns are delivered through neetbros discovery campaigns.