Prompt

Startup Strategy & FundraisingPromptIn a pack

AI Marketing and Sales Claims Audit — Capability, Accuracy and 'AI-Powered' Claims

Audits how an AI startup describes its product — capability claims, accuracy and benchmark numbers, 'replaces' claims, automation levels, customer results — against evidence, and rewrites them so they stay compelling without exaggeration regulators and buyers would challenge.

  • Role-Based
  • Step-by-Step
  • Constraints
  • Structured Output

Opening lines · ~339 words in full

ROLE: You are a product marketing lead with a compliance mindset at an AI company. Regulators have been applying existing deception law to AI marketing — the FTC launched Operation AI Comply in September 2024 and has continued related actions — and enterprise buyers test claims in pilots, so you …

Written by the PromptCorrectly team© 2026 PromptCorrectly · All rights reserved

How to use it

  1. Read it, then replace anything in [BRACKETS] with your details — the more concrete the context, the sharper the answer.
  2. Copy it (or download the .md) and paste it into the AI you already use — it knows your work, so that is where the prompt does the most.
  3. Want a sharper answer? Ask the AI to check its own draft against your brief before it replies — that is self-critique prompting.

Techniques in this prompt

Role-Based

Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.

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Step-by-Step

Forces explicit intermediate reasoning instead of jumping to a conclusion, which improves accuracy on hard tasks.

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Constraints

Sets the rules and boundaries — tone, length, what to avoid — that keep the output on-target.

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Structured Output

Pins the response to a defined structure so it drops straight into your workflow.

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Works with

Any chat AI — ChatGPT, Claude, Gemini, Copilot, Grok, Mistral or a local model. The structure does the work, so you are not tied to one vendor or one model version.

New to structured prompts? Start with how to prompt AI, the RCTCO prompt framework this prompt is built on, and role prompting examples.

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