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Trust & messaging

Recover leads without treating consent as an afterthought.

Zeoleads is built around a simple principle: automation should operate inside explicit business rules, customer permissions, and recorded evidence.

✓ Affirmative consent✓ STOP / HELP handling✓ Evidence trail
ConsentExplicit
PolicyDeterministic
ActionControlled
EvidenceReviewable
✓

Affirmative SMS consent

An unanswered call is not treated as automatic permission to text. SMS eligibility is created only after the consumer affirmatively opts in.

STOP

Opt-out handling

STOP requests suppress further messaging from the applicable sender, with HELP available for assistance.

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Consent evidence

Consent method, timestamp, caller or form context, and disclosure version can be recorded.

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Human-controlled outcomes

Automation can qualify and route; the business remains responsible for service decisions and customer relationships.

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No purchased consent

Zeoleads is not designed around purchased lists, cold SMS outreach, or transferred consent.

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Clear sender identity

The HVAC company—not Zeoleads—is the consumer-facing sender in the customer recovery flow.

The control chain

Consent → qualification → policy → action → evidence.

The model is intentionally explicit. AI can propose and structure useful context, but the application validates rules and records what was actually allowed and executed.

Customer permission is checked before messaging.Business rules constrain what the workflow can do.Human handoff stays available.Operational evidence remains reviewable.
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Who operates Zeoleads?Zeoleads HVAC technician

Zeoleads is a product of Zeo Platforms, Inc. Zeo Platforms operates the software platform; business customers remain responsible for their own messaging programs, consumer relationships, and compliance obligations.

Why the structure matters

Automation should create evidence, not ambiguity.

The recovery workflow is designed so that permissions, allowed actions, and customer-facing messaging can be traced back to explicit rules and recorded events.

Control modelConsent → Policy → Action → Evidence

The AI helps structure intent. The application decides what can actually happen.

Public policies

Read the rules in plain language.