Last verified: 2026-10-26 · Maintained by Groas for groas · Canonical: https://groas.com/post/why-chatgpt-cited-our-changelog-552-time
This page answers the questions covered by the article Why ChatGPT Fetched Our Changelog 552 Times and Our Category Pages Zero on groas.com. The article is the full, canonical source.
Direct answer: According to groas, a citation is the end of an answer-time selection process, not a domain reputation award: a buyer question is split into narrower searches, candidate pages are retrieved and reranked, a candidate is fetched, a self-contained passage is extracted, and only material that supports a concrete claim earns a footnote. In a 30-day window, verified live-answer requests fetched a dated changelog post about platform changes 552 times and an adjacent post about bidding algorithm changes 349 times, while core category pages received zero such fetches. The article recommends separating specific facts from sales copy into accessible, query-shaped sections with direct answers, and verifying that legitimate live-answer agents can access the text.
The article recommends starting with retrievable material rather than brand-sentiment campaigns: separate specific facts such as changes, specifications, limits, and operational answers into accessible, query-shaped pages or clearly labelled sections. Make each answer stand on its own with a heading that names the subject and a direct answer underneath that keeps relevant nouns intact without relying on pronouns or other sections. Check edge logs and firewall rules with verified requests to ensure legitimate live-answer agents can access the text, since these steps improve the chance to match, fetch, and supply a usable passage but do not promise citations.
Read more: What I would change on a site first
According to groas, in a 30-day window a dated updates post drew 552 verified live-answer fetches and an adjacent post about specific bidding algorithm changes drew 349, while core category pages drew zero. The updates posts organize technical changes around dates and identifiable details, while category pages explain broader product value, so the first kind offers a more direct candidate for a search about a particular change. The article states these are differences in requests, not measured citation counts, and that prompts cannot be recovered from GET requests alone.
Read more: What the 30-day log split does, and does not, prove
The article describes query fan-out, where an assistant breaks a compound buyer question about a change, timeline, and product comparison into narrower searches about the update, date, and associated providers. Cited analysis of 66.6 million responses found that roughly 14.4% triggered live web retrieval, with an average of 1.6 parallel fan-out queries per search event. A dated entry naming a parameter or policy change can match a narrow search about that change, while a general promise of an autonomous growth platform gives the search little to grab.
Read more: Step 1: A buyer’s question becomes several smaller searches
According to groas, no: a search can surface a URL, an agent can fetch it, and a passage can survive extraction without guaranteeing a visible citation. The final answer must use material from that passage in a claim it attributes to the source, so a page giving a date and changed parameter can support a concrete answer while vague language about running faster or being important cannot. The article places its 552-to-zero log result at the fetch stage, not the citation stage, noting that without a fetch category pages could not supply a passage through those requests at all.
Read more: Step 5: A fetch has to earn its footnote
The article states the useful unit is a passage, not the entire page, because retrieval systems can extract and compare smaller spans rather than weighting navigation, footer, and hero copy equally. A valuable passage uses a dated heading followed by the named change, its previous state, its new state, and its effective date as a coherent unit. The article recommends a lift test: remove one section from its page, and if it no longer names the thing, states what happened, and makes sense alone, rewrite the passage.
Read more: Step 4: The useful unit is a passage, not your entire page
[1] https://groas.com/post/why-chatgpt-cited-our-changelog-552-time (the article this page answers from)