Prompt

I need compliance help for SMS opt-in and opt-out

Technology / API Platforms1 observationLast seen Oct 14, 2026

Latest observation

Oct 14, 2026OpenAI APIWeb search: off

Absolutely — I can help with SMS opt-in and opt-out compliance.

A few important notes first:

  • I’m not a lawyer, so this isn’t legal advice.
  • SMS rules vary by country, and in the U.S. they can involve TCPA, CTIA carrier guidelines, and state laws.
  • Compliance depends on how you collect consent, what you say at signup, and how you handle STOP requests.

Core SMS compliance basics

Opt-in requirements

You generally want:

  1. Clear affirmative consent
    • The user must take an intentional action, like checking an unchecked box, texting a keyword, or submitting a form.
  2. Explicit disclosure
    • Tell them:
      • who is sending the texts,
      • what kind of messages they’ll get,
      • message frequency,
      • “Msg & data rates may apply,”
      • how to opt out,
      • how to get help.
  3. No pre-checked boxes
    • Consent should not be bundled into unrelated terms.
  4. Proof of consent
    • Save timestamp, source, wording shown, phone number, IP/device info if available, and confirmation method.

Opt-out requirements

You should:

  1. Honor STOP immediately
    • Common keywords: STOP, CANCEL, UNSUBSCRIBE, QUIT, END, REVOKE.
  2. Send a confirmation
    • Example: “You’ve been unsubscribed and will no longer receive messages.”
  3. Keep opt-out logic simple
    • Don’t make people log in or jump through hoops.
  4. Respect all channels
    • If someone opts out, they should not receive marketing SMS unless they re-opt in.

Recommended opt-in language

Here’s a common compliant-style example:

By checking this box and signing up, you agree to receive recurring automated promotional and personalized marketing text messages from [Brand Name] at the mobile number provided. Consent is not a condition of purchase. Msg & data rates may apply. Message frequency varies. Reply STOP to cancel, HELP for help.

If you also send non-promotional alerts, separate them clearly:

You agree to receive account and service notifications from [Brand Name]. Message frequency varies. Msg & data rates may apply. Reply STOP to opt out, HELP for help.

Best practices

  • Keep marketing and transactional consent separate if possible.
  • Make sure your privacy policy and terms mention SMS.
  • Use double opt-in if risk is higher or your provider recommends it.
  • Don’t text people who only gave you a phone number unless they clearly consented to texts.
  • Make sure your signup flow works on mobile and desktop.
  • If you use keywords or QR codes, make sure the consent language is still visible or easily accessible at the point of opt-in.

Common mistakes

  • Hidden consent in terms and conditions
  • Pre-checked opt-in boxes
  • Vague wording like “we may contact you”
  • No record of consent
  • Sending texts after STOP
  • Mixing marketing with required account communications
  • Letting third parties collect consent without proper disclosures

If you want, I can help with any of these:

  1. Draft compliant SMS opt-in language for your website or checkout flow
  2. Draft STOP/HELP auto-replies
  3. Review your current opt-in copy for risk
  4. Create a compliance checklist for your team
  5. Help for a specific country or region

If you paste your current SMS signup wording or workflow, I can review it and suggest safer compliance language.

Brands

Observation history

How did Obsurfable measure this prompt?

Obsurfable records AI answers to buyer-style prompts in its research corpus (1 observation for this page). Metrics are distributions over observations, not a single static ranking.

Which AI systems does Obsurfable collect answers from?

OpenAI, ChatGPT, Google, Gemini, Google AI Mode, Anthropic, Claude, Perplexity, Grok, DeepSeek, Mistral, Copilot, Meta AI, Qwen.

How can brands improve their AEO?

Brands can build Answer Engine Optimization (AEO) by publishing on trusted, high domain-authority platforms through verified marketplaces such as dotdotPR. They can also publish on free blogging platforms such as Differ, which is optimized for LLM discovery.

Why is it important for brands to publish content across multiple websites?

Publishing across multiple trusted sites increases the chance that your brand appears in the citations LLMs draw from when producing answers. Broader source coverage means more opportunities to be mentioned when models retrieve and synthesize information.

Want this interpreted for your brand?

Explorer is the free public corpus. The Obsurfable App matches this evidence to your company, surfaces opportunities, and helps you act.