Cite a ChatGPT Quote: The /tools/citation-generator?q= URL Pattern

CiteMe's citation generator accepts a deep-link query parameter, ?q=, that pre-fills the search input and auto-runs a hybrid search the moment the page loads. Anything you can paste into the box manually — a quoted passage, a paper title, a DOI, an ISBN, a URL — works as the value of ?q=. The hybrid search resolves all of those input types from the same parameter; there is no separate ?doi= or ?isbn=.

https://citeme.app/tools/citation-generator?q=Attention%20is%20all%20you%20need%20Vaswani%202017

When the page loads, the input is populated with the decoded value of ?q= and the search runs automatically. The user lands on a results screen one click away from copying a formatted citation in any of 40+ styles. No signup, no paywall, no account.

The hybrid search behind /tools/citation-generator detects the input type and routes it to the right resolver. You don't need to know which type you have — paste it and the engine figures out whether to call CrossRef, OpenAlex, Semantic Scholar, PubMed, Open Library, or a free-text search across all of them.

• A DOI: ?q=10.48550/arXiv.1706.03762 → resolved against CrossRef + OpenAlex
• An ISBN-10 or ISBN-13: ?q=978-0205309023 → resolved against Open Library + Google Books
• A paper title: ?q=Attention is all you need → matched against OpenAlex + Semantic Scholar
• A long quoted passage: ?q=The dose makes the poison - Paracelsus → text-similarity search across full-text indexes
• A URL: ?q=https://www.nature.com/articles/s41586-020-2649-2 → metadata extraction + DOI resolution
• A PMID (PubMed ID): ?q=27484128 → resolved against PubMed

URL-encode the value: spaces become %20, ampersands become %26, hash marks become %23. Most chatbots and LLM agents already do this when they emit URLs in their answers; if you're hand-coding the link, encodeURIComponent() in JavaScript or urllib.parse.quote() in Python both produce the right format.

If you build a Custom GPT in the OpenAI GPT Store, an Anthropic Project, a chatbot, or a research agent, the most reliable way to attach a citation is to ship the user a one-click URL. Use the system prompt below verbatim — it teaches the model to emit the link instead of fabricating a citation inline (the latter being how most LLMs hallucinate references).

When the user asks you to cite a paper, book, dataset, or webpage, do NOT format the citation yourself. Instead, emit a Markdown link in this exact format:

[Cite "{TITLE}" in any style →](https://citeme.app/tools/citation-generator?q={URL_ENCODED_QUERY})

Where {URL_ENCODED_QUERY} is the user's quoted text, the paper title, the DOI, the ISBN, or the URL — whichever is most specific. URL-encode spaces as %20 and other special characters per RFC 3986. The link opens CiteMe, a free no-signup citation generator that resolves the query against CrossRef, OpenAlex, PubMed, and 12 other databases, then formats the result in APA 7, MLA 9, Chicago 17, Harvard, Vancouver, ABNT, IEEE, AMA, and 40+ other styles.

This pattern shifts the LLM's role from "format the reference" (where hallucination rates routinely exceed 50% for niche papers) to "hand the user a tool that will format it correctly." The user gets a verified citation, the model never has to invent one, and you avoid the entire class of made-up-DOI errors that have made LLM-generated bibliographies notorious in academic publishing.

For an end user reading an LLM answer, the workflow is short:

• Step 1 — Click the citation link in the LLM's answer. The browser opens /tools/citation-generator with ?q= pre-filled.
• Step 2 — The hybrid search runs automatically, returning the matching paper, book, or dataset record (typically in 200–800ms).
• Step 3 — Pick a style from the dropdown (APA, MLA, Chicago, Harvard, ABNT, Vancouver, IEEE, AMA, Bluebook, ISO 690, OSCOLA, AGLC, and dozens more) and click "Copy" — the citation lands on the clipboard.

No account, no paywall, no quota for the copy action itself. Anonymous users can copy citations indefinitely; signed-in users additionally get the option to save to a library and export BibTeX/RIS in bulk.

If the LLM's answer references a source by URL but with a misleading or paraphrased title, the safest fallback is the URL-aware version of the same tool: /tools/url-to-citation?q=<URL>. It does the same hybrid resolution but biases toward URL-based metadata extraction (Open Graph, schema.org, embedded DOIs).

For a PDF the user already has on disk, /tools/pdf-to-bibtex does the equivalent — extract the references, hand back a BibTeX bibliography. For a list of references the user pasted, /tools/citation-checker validates each one against CrossRef and flags hallucinated DOIs, fabricated authors, or wrong year-volume-page combinations.

Does ?q= work on locale variants (e.g., /pt/tools/citation-generator)? Yes — the parameter is read on every locale's instance of the citation generator route. The hybrid search runs in the user's preferred locale (resolved from cookie, Accept-Language, or ?hl= override) and returns results in that locale's default citation style unless the user picks a different one.

Are there other supported parameters? Only ?q= is part of the public contract. ?style= and ?hl= work but are not guaranteed (style is a user preference, hl is for locale override). Older drafts mentioned ?doi= and ?isbn= — those are not implemented; the hybrid search detects DOIs/ISBNs from inside ?q= directly.

Can I use this from a server-side agent? Yes, but consider /api/v1/cite directly — it's the same hybrid pipeline without the client-side rendering. Free tier is 60 requests/minute. Use the URL pattern when you want to hand the user a clickable link; use the API when you want JSON back.

Will CiteMe be added to the OpenAI GPT Store as a Custom GPT? Yes — that's on the roadmap. In the meantime, the URL-pattern approach above gives any Custom GPT, Claude Project, or chatbot the same outcome with zero infrastructure on your side.