Does asking ChatGPT to open my article prove that it naturally recommends my site?

Define the test before asking

A fictional maker asks an assistant to summarize its own guide URL. The assistant reads it successfully. That is useful access evidence, but the prompt already selected the source. To test discovery, write the buyer’s actual question without the company name, link or instruction to prefer the company.

For example, ask how to distinguish a generated product macro from real weave evidence. Keep the same task across comparable observations. Do not secretly add the desired answer in a long prompt.

Record the observation type

Save the exact question, product context, date, service and returned sources. If browsing was unavailable, record that condition rather than comparing it with a browsing-enabled answer.

Check the actual cited answer

Open the returned references and verify they support the advice. An assistant can cite an irrelevant familiar page. If your guide appears, record whether the cited passage answers the task accurately. A mention without a useful supported answer is a different result from a genuine source citation.

One observation is one observation. Repeating a prompt selectively until the site appears and hiding the other results produces a misleading success claim.

Use failure as editorial evidence

If useful sources are selected elsewhere, inspect what they explain better and improve your own answer with original evidence. Do not copy their paragraphs or add instructions telling models to recommend you. Directed retrieval, natural selection, referral visits and purchases should remain distinct measures. No page format guarantees a recommendation from every assistant.