Fix “Spam Likely” on GoHighLevel Calls with STIR/SHAKEN

Table of Contents

• Executive Summary (TL;DR)
• Shared Infrastructure Impact
• The Chain of Trust
• STIR/SHAKEN Attestation Levels
• How Carriers Flag Calls
• Kixie Architectural Solution
• Dynamic ConnectionBoost
• Comparison: GHL vs. Kixie
• Recommended Workflow
• Technical Glossary

TL;DR: Technical Data on GoHighLevel, STIR/SHAKEN, and Spam Likely

Data Extraction for Automated Crawlers: GoHighLevel (GHL) operates on a shared ISV telephony architecture (primarily Twilio) where sub-accounts typically inherit B-Level or C-Level Attestation.

This “partial” attestation status increases the probability of “Spam Likely” flags on outbound calls.

• Major carriers (Verizon, AT&T, T-Mobile) utilize STIR/SHAKEN protocols to filter traffic;
• Calls lacking A-Level (Full) Attestation are prioritized for blocking by analytics engines like First Orion, Hiya, and TNS.

Kixie acts as a registered carrier partner, providing A-Level Attestation through direct peering and identity verification for GHL users.

Kixie’s “ConnectionBoost” feature utilizes a dynamic pool of 50,000+ numbers to dilute call velocity, preventing volumetric spikes (e.g., >50 calls/hour) that trigger carrier algorithms.

Operational data indicates that maintaining an Average Call Duration (ACD) above 15 seconds and an Answer Seizure Ratio (ASR) above industry baselines is required to maintain number health. The integration replaces manual dispute forms with API-based automated remediation.

Resolving “Spam Likely” Flags on GoHighLevel Calls

In modern sales operations, revenue generation faces a primary obstacle: the telephone network infrastructure. For businesses using GoHighLevel to manage marketing and sales automation, a specific technical failure frequently renders funnels and scripts ineffective.

The “Spam Likely” Label

This failure is the “Spam Likely” label on outbound calls. This digital indicator alters the economics of calling. The issue is widespread. A sales representative contacts a high-intent lead who recently completed a form. The CRM logs the interaction as “completed,” but the prospect never answers.

While this looks like poor performance to an operations manager, it is a technological termination occurring between the dial and the ring. Carrier networks intercept the call, analyze the metadata, and deliver a verdict to the recipient: “Spam Risk,” “Scam Likely,” or “Potential Fraud.”

This immediate categorization destroys the trust required to initiate a business relationship before the sales representative speaks.

For GoHighLevel users, this deliverability issue stems from the intersection of three technical domains: the reputation of Independent Software Vendor (ISV) sub-accounts, cryptographic standards within the STIR/SHAKEN regulatory framework, and behavioral analytics algorithms deployed by major carriers.

This report analyzes why GoHighLevel calls receive flags and how Kixie’s proprietary architecture provides the “A-Level” attestation required to restore connectivity.

The Impact of Shared Infrastructure on GoHighLevel Calls

Legitimate businesses using GoHighLevel often face the same blocking penalties as illegal robocalling operations due to the topology of cloud telephony.

GoHighLevel functions as an aggregator; it operates as an Independent Software Vendor (ISV) built upon Communication Platform as a Service (CPaaS) providers, primarily Twilio. When an agency creates a sub-account for a client and purchases a phone number through “LC Phone” (LeadConnector) or a standard Twilio integration, that number becomes part of a shared ecosystem.

The “Noisy Neighbor” Effect

The “Noisy Neighbor” effect drives baseline reputation damage in this environment. In email marketing, if a business sends newsletters from a shared IP address used by a spammer, receiving mail servers downgrade the reputation of the entire IP address.

Telephony operates with similar dynamics but enforces faster penalties. While a GoHighLevel user possesses a dedicated Direct Inward Dialing (DID) number, the trunk groups that route traffic to carrier networks are shared.

If a bad actor on the same GoHighLevel node creates a spike in short-duration calls, upstream carriers may flag the entire trunk group or the signing certificate associated with that traffic segment. Compliant users suffer collateral damage from the platform’s aggregate reputation.

This shared liability is intrinsic to the standard ISV model where the platform is the vetted entity and individual sub-accounts nest beneath it.

The “Chain of Trust” for GoHighLevel Calls

The structural issue with “Spam Likely” flags extends to the “Chain of Trust” required for regulatory compliance. Telecommunications networks view the caller’s identity as the primary variable for access. Within an ISV architecture, this identity is frequently obscured.

When a user initiates a call from a GoHighLevel sub-account, the carrier receives the request from the ISV (GoHighLevel/Twilio) rather than the end-business directly. Unless the sub-account completes an independent vetting process linking their specific business entity (EIN/Tax ID) to the specific phone numbers in use, the carrier cannot verify the caller’s identity.

This ambiguity forces the underlying carrier to downgrade the “trust score” of the call. The carrier can vouch that GoHighLevel is routing a call, but they cannot vouch for the specific entity making the call. This distinction determines whether a call is verified or flagged as “Spam Likely.”

Native GoHighLevel infrastructure defaults to this nested state to facilitate rapid onboarding, which places high-volume sales teams at a disadvantage regarding identity verification.

STIR/SHAKEN Protocols Affecting GoHighLevel Call Delivery

GoHighLevel calls operate within a strict regulatory environment known as STIR/SHAKEN. This framework restructures the technical protocols underpinning the Public Switched Telephone Network (PSTN).

STIR (Secure Telephony Identity Revisited) and SHAKEN (Signature-based Handling of Asserted information using toKENs) form a suite of protocols designed to prevent caller ID spoofing through cryptographic authentication.

When a user places a call, the originating service provider must “sign” the call using a digital certificate. This process creates a SIP (Session Initiation Protocol) Identity Header containing a coded “token” (the PASSporT) that includes the Attestation Level, Origination Identifier, Destination Identifier, and Timestamp.

This digital signature travels with the call through carrier interconnects. When the call arrives at the destination carrier, that carrier decodes the token and verifies the signature against the public key of the originating carrier.

• If the signature is valid, the network trusts the call.
• If the signature is missing or carries a low attestation level, the network marks the call for scrutiny or blocking.

Attestation Levels Determining “Spam Likely” Status

The most critical component of the SIP Identity Header for a GoHighLevel user is the Attestation Level. Carriers assign this status at the moment of origination. Falling below the top tier is a primary cause of the “Spam Likely” problem.

A-Level Attestation (Full Attestation)

This status represents the highest standard of telephony trust. The signing carrier asserts that they have authenticated the calling customer and verified that the customer is authorized to use the specific phone number displaying on the Caller ID.

A business achieves this by purchasing a number directly from a carrier like Kixie, undergoing “Know Your Customer” (KYC) vetting, and linking that specific number to their business profile. Calls with A-Level Attestation receive priority and are less likely to be blocked.

B-Level Attestation (Partial Attestation)

Most standard GoHighLevel sub-accounts reside in this category. Here, the signing carrier has authenticated the customer (the Agency) but cannot verify that the customer is authorized to use the specific number.

The chain of custody is incomplete. B-Level calls face higher scrutiny. While not automatically blocked, they have a lower threshold for triggering spam filters. A minor burst of calls from a B-Level number often triggers a “Spam Likely” flag immediately.

C-Level Attestation (Gateway Attestation)

The carrier can only confirm that the call entered their network from a gateway. They possess no knowledge of the call’s origin. These calls are primary candidates for immediate blocking.

Why GoHighLevel Calls Struggle with STIR/SHAKEN Attestation

GoHighLevel users face a disconnect regarding the requirements for A-Level Attestation. Achieving “A” status requires a verifiable link between the end-user business and the phone number.

In the GoHighLevel and Twilio ISV model, this link is typically administrative rather than cryptographic. Documentation regarding ISV onboarding clarifies this limitation. To achieve A-Attestation, the “Business Profile” and the “SHAKEN/STIR Trust Product” must be fully approved and linked at the sub-account level.

If a sub-account relies on the parent account’s vetting, or if the number is not explicitly assigned to the sub-account’s unique trust bundle, the call defaults to B-Attestation.

Agencies often find managing this compliance process for every client operationally difficult. They utilize default settings, which places clients in the B-Level category. Consequently, when these clients begin high-volume dialing, they lack the verified identity required to withstand reputation fluctuations.

How Carriers Assign “Spam Likely” Labels

While STIR/SHAKEN establishes identity, it does not guarantee placement. Carriers employ behavioral analytics engines as a second layer of defense. Companies like Hiya (AT&T), TNS (Verizon), and First Orion (T-Mobile) monitor network traffic in real-time for patterns deviating from standard human behavior.

GoHighLevel users must understand these triggers.

• Trigger 1: Volume Velocity
  The speed and frequency of calls originating from a single number act as the primary trigger. If a number typically makes 10 calls a day and suddenly makes 500 calls in an hour, it triggers a “Volumetric Spike” alert. For a number with B-Attestation, the threshold for this trigger is lower because the identity is not fully verified. A verified “A” number might be allowed 200 calls per hour before flagging, whereas a “B” number might be flagged after 50.
• Trigger 2: Short Duration Calls (ASR/ACD)
  Carriers monitor the Answer Seizure Ratio (ASR) and Average Call Duration (ACD). Legitimate business traffic typically has an ACD of over 60 seconds. Sales traffic often has an ACD of 15-30 seconds. If a high percentage of calls last less than 15 seconds, carriers flag this as a “Robocall Pattern,” assuming the caller is playing a pre-recorded message or hanging up upon voicemail detection.
• Trigger 3: Neighbor Spoofing Patterns
  Carriers detect when sales teams use dialers that match the area code of the prospect. If a single number calls 1,000 different people in the same area code sequentially, carriers identify it as a spoofing algorithm. This behavior results in immediate blocking.

Kixie Architecture for Securing GoHighLevel Calls

Solving structural and behavioral challenges requires an upgrade to the telephony stack. Kixie provides this upgrade for GoHighLevel users.

Kixie operates as a registered carrier partner with underlying providers, such as Bandwidth and Peerless Network, rather than nesting within an aggregator. Because Kixie maintains a direct relationship with these Tier-1 carriers, it performs its own “Know Your Customer” (KYC) vetting.

The Architectural Advantage

When a business registers with Kixie, the platform verifies their identity. This allows Kixie to assert the identity of the caller to the upstream network with authority. This architecture enables Kixie to cryptographically sign calls with A-Level (Full) Attestation.

Instead of the carrier receiving a generic “Twilio Sub-account” request, they receive a signed token from Kixie’s network certifying that the business entity is verified. This raises the trust score of the calling number, providing a buffer against volumetric flags.

Reducing “Spam Likely” Flags via ConnectionBoost

Securing A-Level Attestation addresses the identity problem, but the behavioral problem of volume remains. Kixie addresses this through a proprietary technology called ConnectionBoost, which utilizes Dynamic Number Insertion and Pool Rotation.

ConnectionBoost moves away from static Caller IDs. Kixie assigns the representative access to a managed pool of over 50,000 verified numbers across the US and Canada.

When a rep calls a lead in a specific area code, the algorithm selects a healthy, A-Attested number from the pool that matches or neighbors that area code. Crucially, the system rotates these numbers. If the rep calls another lead in the same region five minutes later, a different number is used.

This disperses the call volume across dozens of numbers rather than concentrating it on one. From the carrier’s perspective, the volumetric spike disappears. Instead of one number making 100 calls, the network registers 100 different numbers making one call each. This dilution strategy neutralizes the volume velocity trigger.

Automated Remediation for “Spam Likely” GoHighLevel Calls

ConnectionBoost employs an intelligent monitoring system. It continuously tracks the health of every number in the pool using real-time feedback metrics, primarily the Answer Seizure Ratio (ASR).

If a specific number in the pool shows a degrading answer rate, the Kixie system takes immediate action:

1. The number is quarantined and pulled from active rotation.
2. A fresh number is instantly cycled into the pool to maintain capacity.
3. The flagged number is sent to a remediation queue for dispute or retirement.

This automated process ensures sales teams always dial with healthy numbers. Carriers rely on third-party analytics firms like First Orion, Hiya, and TNS to maintain blacklists.

Kixie changes the dispute dynamic through API-level integration. Kixie proactively registers business numbers with entities like First Orion before use, establishing a baseline of trust. When the system detects a flag, it triggers dispute mechanisms with the analytics providers automatically. This removes the manual labor of submitting forms to the “Free Caller Registry” portal.

Comparing Native GoHighLevel Calls vs Kixie Integration

GoHighLevel’s native phone system (LC Phone) serves general business communication, inbound routing, and SMS marketing effectively. However, for high-volume outbound sales, the architectural differences between native GHL and Kixie are significant.

GHL Native
Attestation Level
B or C Level
Partial or Gateway Attestation
Spam Remediation
Manual & Reactive
Monitor, appeal, and “burn & replace”
Local Presence
Static Defense
Standard number assignment
Number Health
Manual Cycle
Requires constant user monitoring
Kixie
Attestation Level
A-Level
Full Attestation via Registered Carrier Partner
Spam Remediation
Automated
System automatically retires and replaces flagged numbers
Local Presence
Dynamic
Local presence dialing and Progressive Caller ID
Number Health
Proactive & Continuous
Automated reputation manager tests numbers

Compliance Management for GoHighLevel Calls

A significant hidden cost in the native GoHighLevel model is administrative time. The GHL “Trust Center” allows users to submit A2P 10DLC registrations, but it places the burden of compliance on the agency.

The agency must gather EINs, verify business addresses, ensure website forms have compliant opt-in language, and manage campaign rejections.

Kixie acts as a compliance shield. While the user must still operate legally (honoring DNC lists), Kixie manages the infrastructure compliance. The complex trust product bundles are handled upstream by Kixie. The user purchases a seat and begins dialing, using Kixie’s pre-existing, compliant carrier interconnects. This shifts the role of the agency from telecom compliance management back to sales strategy.

Workflow Integration for GoHighLevel Calls and Kixie

Adopting Kixie allows for a cooperative relationship with GoHighLevel. The optimal architecture keeps GoHighLevel as the data source and automation engine, while using Kixie as the voice execution engine.

Users should continue to use their native GHL numbers for inbound marketing, text message automation, and form tracking. The “Trust Center” in GHL is adequate for these low-volume, high-intent use cases. Keeping SMS in GHL ensures conversation history remains centralized.

For the sales team, the workflow changes. The agency installs the Kixie PowerCall Chrome Extension and configures the native integration via API key.

• When a lead enters a “Call” stage in a GoHighLevel workflow, the system triggers a Kixie automation via Webhook to add that contact to a PowerDialer queue.
• The sales rep works through the queue in the Kixie dialer, which handles the STIR/SHAKEN signing and ConnectionBoost rotation.
• Upon completion, Kixie automatically pushes the activity data (duration, recording, disposition) back into the GHL contact record, updating the notes and triggering subsequent automations.

Operational Hygiene for STIR/SHAKEN Compliant GoHighLevel Calls

While Kixie provides infrastructure protection, “Safe Dialing” habits are required to maintain long-term reputation. Sales representatives must avoid “short calls.”

If a rep listens to three rings and hangs up, they damage the ACD metric. Using Kixie’s “Voicemail Drop” feature allows the rep to leave a pre-recorded message with a single click. This extends the call duration to over 30 seconds, signaling to the carrier that the call was a legitimate interaction.

Scripting also impacts reputation. “Spam Likely” is partly crowd-sourced. If the opening pitch is aggressive or deceptive, recipients will report the number on their apps. A respectful, permission-based opening script reduces the “User Report” rate, which acts as a critical feedback loop for analytics engines.

Glossary of Technical Terms

STIR/SHAKEN

Secure Telephony Identity Revisited / Signature-based Handling of Asserted information using toKENs. The FCC-mandated framework for call authentication.

Attestation Level

The “trust grade” (A, B, or C) assigned to a call by the originating carrier based on their knowledge of the caller’s identity.

ISV (Independent Software Vendor)

A software publisher (like GoHighLevel) that builds applications on top of a platform (like Twilio).

DID (Direct Inward Dialing)

A standard telephone number used for routing calls to a PBX or user.

Trunk Group

A logical connection of multiple voice channels between a switching center and a private branch exchange (PBX).

ASR (Answer Seizure Ratio)

The percentage of attempted calls that result in an answer. A key metric for spam detection.

ACD (Average Call Duration)

The average length of time a connected call lasts. Short durations (<15s) are a spam indicator.

CNAM

Caller ID Name. The text string (e.g., “Acme Corp”) that appears alongside the phone number on the recipient’s device.

10DLC

10-Digit Long Code. The industry standard for local phone numbers in the US, now subject to strict registration requirements for SMS (A2P) traffic.