PromptSharp › Daily briefs › Marketing › September 16, 2026

Marketing prompt of the day

September 16, 2026 · for Brand and growth marketers, agency strategists, content leads. One sharp, copy-paste prompt — free, every weekday.

You are a marketing claims reviewer preparing copy for a qualified legal or compliance reviewer. This is preparation, never legal clearance — say so in your output. I will paste the draft and our evidence. Produce:

A) A CLAIMS INVENTORY: every factual, comparative, performance, or superlative claim in the draft, quoted exactly, classified as SUPPORTED (name the evidence in my material), UNSUPPORTED (no evidence provided), or UNSUPPORTABLE AS WORDED (the underlying fact holds, the phrasing outruns it).
B) REWRITES for every claim not marked SUPPORTED: the defensible version, plus exactly what evidence would let us keep the stronger version.
C) THE REVIEWER PACKET: the questions to send legal or compliance, each paired with the claim it concerns so the review takes one round instead of three — plus any disclosure, qualifier, or context my material implies but the draft omits.

My inputs: [PASTE: the draft copy, supporting data and sources, previously approved claims language, applicable disclosure requirements or brand claim rules]

Rules: Do not invent, estimate, or fabricate any statistic, benchmark, or performance figure — if a number is not in the material I give you, write "not provided" and flag it. Mark every claim I should verify in my analytics or source systems before it is published or presented. Never include customer personally identifiable information or client-confidential terms.

What changed for Marketing

How to run “Claim substantiation pass before legal ever sees it”, step by step

The situation this prompt is built for: Every superlative and statistic in the draft is a liability until someone can point at the proof. Run the substantiation pass before the review round. Below is exactly what to feed it and what comes back — no model-specific tricks, it runs the same in any chat AI.

Why this structure works

Legal review is slow because it arrives as an undifferentiated draft and the reviewer has to find the risk themselves. An inventory that separates "no evidence exists" from "evidence exists but the wording outruns it" routes each claim to the right fix, and that second category is where most marketing copy actually fails — the fact is fine and the adjective is not.

On Pro, pro personalization loads your previously approved claims language and disclosure rules so the rewrites land inside what your reviewers have already cleared.

When to use it — and when not to

Reach for it when

• Every superlative and statistic in the draft is a liability until someone can point at the proof. Run the substantiation pass before the review round.
• You need the output in a shape you can forward as-is — the fixed structure above is the point.

Skip it when

• You don’t yet have the source material — the prompt is built to refuse to fake it. Its own guardrail: “Do not invent, estimate, or fabricate any statistic, benchmark, or performance figure — if a number is not in the material I give you, write "not provided" and flag it.” With nothing to work from, you’ll get a list of “not provided” flags, which is honest but not useful. Collect the inputs first.
• The task is genuinely one sentence long — a structured prompt earns its overhead when the output has parts. For quick one-off questions, just ask.

Adapting today’s prompt for adjacent roles

“Claim substantiation pass before legal ever sees it” sits in the Content & Copy lane of the marketing pool. If your seat is one desk over, these are the same craft-move rebuilt for the neighbouring workflow — pulled from the same curated pool, each free in full at its permalink:

You are a marketing effectiveness analyst writing an honest post-campaign review. I will paste the objectives, targets, and results. Produce: A) A VERDICT PER OBJECTIVE…

You are a media operations lead running pre-launch QA. I will describe the campaign setup and you will produce: A) A NUMBERED QA CHECKLIST customized to my setup — each…

You are a retention economist reviewing promotional cadence. I will paste my promo history and revenue mix. Produce: A) A DEPENDENCY READ from my numbers: the share of…

Common failure modes (and the fixes)

• Failure: letting the model drift past the prompt’s own guardrail — “Do not invent, estimate, or fabricate any statistic, benchmark, or performance figure — if a number is not in the material I give you, write "not provided" and flag it.” Fix: keep that line in when you edit the prompt; it exists because this is exactly where outputs go wrong without it.
• Failure: letting the model drift past the prompt’s own guardrail — “Mark every claim I should verify in my analytics or source systems before it is published or presented.” Fix: keep that line in when you edit the prompt; it exists because this is exactly where outputs go wrong without it.
• Failure: letting the model drift past the prompt’s own guardrail — “Never include customer personally identifiable information or client-confidential terms.” Fix: keep that line in when you edit the prompt; it exists because this is exactly where outputs go wrong without it.
• Failure: accepting the first pass. Fix: reply with one line — “now cut everything that is generic to any company and keep only what is specific to mine” — the cheapest quality doubling available.

Where AI is landing for brand and growth marketers right now

Context for today’s prompt, from the same screened sources the daily brief reads. Our read, with sources linked — the pattern across items like these is consistent: the professionals getting leverage from AI are the ones feeding it real working context, which is exactly the muscle today’s prompt trains.

• Skill-based Agentic Evaluation for Real-time Data Science Tasks (arxiv) — We present a framework for evaluating data-science agents on live, continuously updated data using executable ground truth and format-agnostic factoid scoring. Consider this…

Quick answers

Is “Claim substantiation pass before legal ever sees it” free to use?

Yes — every weekday issue of the PromptSharp Marketing Brief publishes one full pool prompt free on the web, and it stays free in the archive. Pro is the daily full prompt set, personalization, and MCP delivery — not a paywall on this page.

Which AI model does this prompt work with?

Any of them. Every PromptSharp prompt is model-agnostic plain text — ChatGPT, Claude, Gemini, Copilot, or a local model. No plugins, no custom GPTs; paste and run.

How is the marketing prompt of the day chosen?

Deterministic rotation over the curated marketing pool — currently 51 prompts across 5 sections — the same single source the paid brief reads. Same date, same prompt: the archive never silently changes under you.

How do I get this in my inbox instead?

The capture form above — PromptSharp Marketing Brief status is honest: live briefs send every weekday; pre-launch verticals email their free list the day the email edition starts.

More daily AI prompt briefs

The same free weekday format, tuned to other crafts:

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