GoHighLevel

Fix AI Voice Pronunciation Before Client Launch

Test AI voice pronunciation with a client-approved name sheet, appointment read-backs, provider checks and regression calls before an agency launch.

By James Hill, Founder, RizzDial · 2026-09-30

To correct an AI voice agent that mispronounces local names or appointment details, first identify whether it heard the caller incorrectly, selected the wrong information, or spoke correct text incorrectly. Build a client-approved pronunciation sheet, test complete appointment read-backs, and verify any dictionary or alias control with the actual voice and model. Repeat those checks after a voice change before approving the client launch.

Key takeaways

• Compare caller audio, response text and saved records before choosing a fix.
• Keep official spellings separate from speaking guidance.
• Approve complete calls, including corrections and appointment details.

How do you tell a recognition error from a pronunciation error?

Locate the earliest point where the information becomes wrong. A name that sounds incorrect at the end of a call does not automatically mean the voice needs adjusting.

Use a test call with a client-approved name. Listen to the caller's words, inspect the input transcript if available, compare the agent's response text, and check the record saved by the workflow. Treat the transcript as supporting evidence: confirm whether it represents the input used during the call or a separate transcription created afterward.

Where the platform does not expose intermediate text, record that limit. Ask the provider how to isolate the stage rather than treating a plausible explanation as a confirmed diagnosis.

For agencies planning AI calling with GoHighLevel, include both the call and the destination record in the review. Correct speech alone is not an acceptance test for a booking workflow.

What belongs in a client-approved pronunciation sheet?

Start with the names and details the agent must use to complete the client's real tasks. Ask someone who knows the service area to supply the expected pronunciation and approve an audio reference where practical.

Include business and branch names, nearby towns, streets, staff surnames, service names and abbreviations. Prioritize terms that could send someone to the wrong place or create confusion about an appointment. Do not fill the sheet with every place name in the region before testing the actual workflow.

Use these fields for each entry:

• Written form: The official spelling used in business records.
• Spoken form: Client-approved pronunciation guidance and an audio reference when available.
• Meaning: The person, service or location the term identifies.
• Accepted variants: Local alternatives the client considers understandable.
• Test sentence: A complete phrase the agent would actually say.
• Approval: The reviewer, version and unresolved concerns.

Keep spoken guidance separate from business facts. An address can be spelled correctly and pronounced poorly; a beautifully pronounced address can still belong to the wrong branch.

For the underlying information library, AI Guy's guide to training an AI assistant on business information explains how to organize approved business knowledge. Use that process to establish what the agent should know, then use the pronunciation sheet to review how it says it.

Which pronunciation controls should you verify with the provider?

Check the controls available in the exact client setup before promising a dictionary upload or phonetic override. Access to a voice provider does not establish that every downstream platform exposes the same settings.

The ElevenLabs pronunciation dictionary documentation describes phoneme rules and aliases. It limits phoneme support to specified models and directs users of other models to aliases. It also advises testing with the chosen voice and model and checking capitalization variants. These are documented ElevenLabs behaviors, not proof that the same controls are available in RizzDial.

Ask the implementation owner to demonstrate:

• Which pronunciation controls the client account exposes.
• Whether the selected voice, model and language support the intended rule.
• How an entry matches names with different capitalization or punctuation.
• Whether the change applies to greetings, dynamic replies and booking confirmations.
• How to restore the previously approved configuration.

An alias substitutes a spelling or phrase for spoken output in the documented provider workflow. Test its effect in a complete sentence. Do not assume the same mechanism corrects speech recognition or preserves every downstream field in another implementation.

A HighLevel pronunciation feedback request describes difficulty with UK place names and attempts to address them through dictionary and knowledge-base entries. That is evidence of a user's problem, not confirmation of a universal defect, a released fix or a supported configuration.

How should you test appointment details and read-backs?

Test complete confirmations that preserve meaning, pronunciation and saved data together. Isolated word playback is useful for tuning, but it cannot show whether the agent selects and confirms the correct appointment.

The following are illustrative test scripts, not recorded client calls. Replace bracketed fields with approved test data before running them:

“Your appointment is on [weekday], [month and day], at [time and timezone], at our [branch name] location. Is that correct?”

“I heard [street name]. Could you spell that so I can confirm the address?”

“Thanks for correcting me. The appointment is with [corrected staff name] at [corrected location]. Have I got that right?”

Include a caller who changes the location after the first confirmation. Include an abbreviated service name and a time that requires a clear morning or afternoon distinction. Where callers and the business may be in different timezones, make the expected timezone explicit in the test data.

Review each call against the same evidence:

1. The caller's intended name, place and appointment details.
2. The words selected for the agent's response.
3. The audio the caller actually hears.
4. The final contact or appointment record.

Mark pronunciation and factual accuracy separately. A clear read-back of the wrong day should fail. A correct record paired with an unintelligible location should also fail.

Use the CRM integration overview when scoping where those details will travel. For each connected workflow, identify which system supplies the appointment details and which system stores the confirmed booking.

How do you correct a failure without damaging other names?

Make a targeted change and rerun the failing phrase alongside nearby cases. Save the current configuration and record the reason for the change so the next reviewer can reproduce it.

If the input was misheard, inspect the call audio and the provider's supported recognition options. Add a clarification step when the name remains uncertain. A spoken-output dictionary should not be treated as a repair for an incorrect input transcript.

If the agent selected the wrong person or branch, correct the approved information or lookup behavior. If the selected response text is right but the audio is wrong, test a supported pronunciation rule or alias. Keep the official spelling in the business record.

Test the change in the opening greeting, an answer mid-call and the final confirmation. Add a similar-looking term that should remain unaffected. If a broad replacement changes unrelated words, narrow the rule or remove it.

Acceptance rule: Approve a pronunciation change only when the intended term sounds acceptable and the associated business information remains correct.

What must you retest after changing the voice?

Replay the full approved phrase set and repeat the conversation tests after changing the voice or model. Also rerun relevant cases when changing dictionaries, prompts, language settings or appointment wording. A previous approval belongs to the configuration that produced it.

Maintain a compact regression record with the phrase, expected sound, expected meaning, saved-field expectation, configuration version and reviewer result. Preserve enough evidence to compare the new output with the approved baseline.

Include previously corrected names, unchanged names, abbreviations, appointment confirmations and caller corrections. Test through the intended call path as well as any voice preview, since the launch decision concerns the caller's experience.

Assign unresolved issues an owner and a next action. If a critical location or appointment detail remains unclear, keep that workflow out of the launch scope until it passes or the client approves a tested staff-assisted fallback.

Bring the pronunciation sheet and representative calls to the AI voice agent reseller demo checklist review. Ask the client to approve the local names and full read-backs before signing off on that configuration.

What else do agencies ask about AI voice pronunciation (FAQ)?

Should an agency change the voice before trying a pronunciation fix?

Diagnose the failure first. If the agent heard or selected the wrong name, changing the voice does not address that cause. Consider another voice only after checking the input, response text and supported pronunciation controls. Retest the full approved phrase set afterward.

Can phonetic spellings replace names in the CRM?

Keep the client's approved spelling in contact and appointment records. Store speaking guidance separately where the implementation supports it. Test that an alias changes the spoken output without changing the saved name or selected location.

What should the agent do with an unfamiliar surname?

Ask the caller how to pronounce or spell it, then confirm what matters for the task. Avoid repeatedly guessing. If the name still cannot be confirmed, use the client's approved staff follow-up path without claiming the uncertainty is resolved.

Who should approve pronunciation before launch?

Have a client representative who knows the local names approve the audio, while the agency checks saved records and configuration. Record the approved version and any unresolved cases so later changes can be tested against the same baseline.