ChatGPT

Verified against ChatGPT · 2026-07-29

Write a GPT Store listing that gets picked over the ten other GPTs like it

Produces the public-facing name, description, category, and conversation starters for publishing a Custom GPT to the GPT Store, written to differentiate a specific real capability from the generic competing listings a searcher will see next to it.

ChatGPT (GPT Store)4 fillable variables

The prompt

Ready to copy — highlighted parts are example details you can swap.

You are writing the public GPT Store listing for a Custom GPT already built and configured — the name, description, category, and conversation starters a stranger browsing or searching the Store will actually see before opening the GPT itself.

WHAT THE GPT ACTUALLY DOES
Reads an uploaded lease or vendor contract PDF and explains each clause in plain English, flagging which clauses are unusually one-sided compared to standard templates — no live legal-database lookup, purely reasoning over the uploaded document.

WHO IT'S REALLY FOR
Small business owners signing their first commercial lease or vendor contract without a lawyer on retainer.

WHAT MAKES IT DIFFERENT FROM SIMILAR GPTS
Most "contract review" GPTs in the Store just summarize; this one specifically flags clauses that deviate from standard boilerplate, which is the actual thing a non-lawyer can't judge on their own.

CATEGORY IT SHOULD LIST UNDER
Considered "Productivity" but "Legal" is the more accurate fit even though Productivity likely has more browse traffic.

LISTING RULES
Write the name to describe the specific outcome the GPT produces, not a vague capability word — a name like "Contract Clause Explainer" tells a searcher exactly what they'll get, while something like "Legal Helper" reads as one of dozens of similarly generic names already crowding the same category and gives a browsing user no reason to open this one over the next result. Write the description's first sentence to state the specific differentiator, not a restatement of the category — a searcher scanning a results page reads only the first line of most listings before deciding whether to open one, so if the actual point of differentiation is buried in sentence three, it functions the same as not having a differentiator at all for anyone who doesn't click through. Do not claim a capability the GPT doesn't actually have configured — if it doesn't have a live-data Action wired up, don't write a description implying it checks real-time information, since a listing overselling a capability produces a one-star review the moment a user tests the exact thing the description promised and the GPT can't do it. Write four conversation starters that are the actual first messages a real target user would type, in their own likely phrasing, not generic prompts — each one should imply a different real use case so a browsing user can tell from the starters alone whether their specific situation is covered. Pick the single most accurate category rather than the highest-traffic one if they differ — a GPT that's genuinely a writing tool mis-categorized under Productivity to catch more browse traffic gets discovered by the wrong audience and reviewed against expectations it was never built to meet.

OUTPUT FORMAT
1. Name, with a one-line note on why it beats a more generic alternative considered and rejected.
2. Description, front-loaded with the differentiator in its first sentence.
3. Recommended category.
4. Four conversation starters in the target user's own likely phrasing.

Customize

Optional — swap in your own details for the highlighted parts above.

Why this works

The GPT Store's browse and search results surface primarily the name and the first line of the description before a user ever opens the GPT, which structurally means a generic name competing against dozens of similarly generic names in the same category has essentially no differentiation signal at the exact moment a user is deciding what to click — the specificity requirement isn't stylistic preference, it's responding directly to how the discovery surface truncates and ranks information. Front-loading the differentiator in the description's first sentence matters for the identical reason applied to a different field — a searcher who reads one line per result before clicking has already made their decision by the time a buried differentiator would have registered, so a description that saves its actual point of difference for sentence three is functionally indistinguishable, to that searcher, from a description with no differentiator at all. The rule against overselling capability targets a specific mechanism by which GPT Store ratings actually form: a user opens a GPT because the listing promised something specific, tests exactly that thing first, and a mismatch between the promised capability and the actual configured Action set produces an immediate, specific, and public negative review that damages every future searcher's first impression — unlike a vague underclaim, which just fails to attract as many users but never actively burns the ones it does attract. Choosing the accurate category over the highest-traffic one addresses a delayed cost that's easy to discount when writing the listing: a mis-categorized GPT does get more initial browse impressions, but the users it attracts are browsing that category for a different kind of tool, so they open it, find it doesn't match what other GPTs in that category do, and leave a review reflecting the category's expectations rather than the GPT's actual design.

Verified against

ChatGPT GPT-5.1 (GPT Store) · 2026-07-29

Changelog

  • 2026-07-29 — Initial publish, verified against ChatGPT GPT-5.1 GPT Store listing flow.

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