GoHighLevel Multi-Model AI: Claude, Gemini & GPT 2026
Multi-Model AI Agent Action in GoHighLevel (Claude + Gemini + GPT) - Ultimate Guide 2026
Until now, all GoHighLevel users who have used AI workflows have only interacted with a single AI model for the past two years - there was never an option or room for flexibility.
This has now changed.
One of the biggest and most important AI upgrades GoHighLevel has offered this year is the option to select Anthropic Claude, Google Gemini and OpenAI GPT models directly within the AI Agent Action in your workflows.
This isn’t some small change in settings. This is a major revolution in how you can utilize AI for building automations in GoHighLevel, and knowing how to do this properly will be the difference between mediocre performance and excellent automation systems.
Here’s everything you need to know.
GoHighLevel AI Agent Action Definition
As I describe the multi-model update below, some context for those who are not familiar with AI capabilities of GHL.
AI Agent Action is a workflow step in GHL that lets you send a prompt, information about the contact, or a transcript of the conversation to the AI model and get a generated answer that would be used by the workflow to take some action. Send personalized email, qualify leads, generate follow-up messages, summarize calls, classify inquiries - do it all using AI in the GHL workflow.
Until the release of this update, only one model could be used to execute AI actions. You always used the same model no matter how complicated the task was.
In the new GHL multi-model AI 2026 update, you choose the AI model you want for each specific workflow action: Claude by Anthropic, Gemini by Google or GPT by OpenAI.
Why Multi-Model Is Necessary For Agencies
Each AI model has its own advantages. Applying the same AI model in every situation is equivalent to working with the same tool in every task at work - not optimal.
Below is a plain English summary of the situations in which each model will excel based on how the GoHighLevel agencies have been applying them in 2026:
Claude (Anthropic) - Claude has received widespread acclaim for his deep thought processes, ability to write insightful content, and for being able to follow instructions. Claude has a unique way of doing things when it comes to complex reasoning, generating long-form content, and conducting sensitive conversations. He is therefore best suited to tasks that require high touch client interaction and summaries.
Gemini (Google) - Best at multilingual tasks, live information processing, and structured data analysis. Agencies operating in foreign countries or handling non-English speaking clients would benefit from using Gemini due to its ability to process structured data into insightful outcomes. The fact that it integrates with Google’s databases means that it is ideal for Google-related projects.
OpenAI GPT - This is the most widely-tested model in the entire ecosystem, performing well in general purpose use cases like copywriting, customer service replies, generating FAQs, and conversational AI. Due to the flexibility of GPT, it becomes an effective choice when you have large-scale, mixed workflows in which performance is key but specialization isn’t necessary.
The update to the GoHighLevel AI Agent Action “Claude Gemini” doesn’t make any model better than the other; rather, it provides you with the appropriate tool for the job - which is really what intelligent automation entails.
How to Use Multi-Model AI within GHL Workflows
This is the process to utilize the new multi-model functionality within your GoHighLevel workflows.
Step 1 - Locate or Create a Workflow
Go into Automation within your sub-account and locate a workflow that already exists, or create a new one. Add an AI Agent Action step at the location in your workflow that you would like AI to respond or act upon.
Step 2 - Choose Your AI Model
In the settings for AI Agent Action, you should now have an option to select your model, where no such option used to be available before. Open the dropdown menu and decide whether you want to use the Anthropic Claude, Google Gemini, or OpenAI GPT models.
Choose the model that suits the particular purpose of this step in the workflow the most. In case you need a highly sophisticated follow-up for a high-value lead, consider trying out Claude. For multilingual inquiries or data processing tasks, go with Gemini. For general writing and response generation tasks, GPT is the way to go.
Step 3 - Formulating Your Prompt with Precision
While model selection is important, prompt writing is even more important. It is always better to have an excellently crafted prompt with a slightly inferior model than the best model with a lousy prompt.
When formulating your prompt, include context, instructions, and a desired format of the output. Ensure that you include the appropriate tokens of contact including the first name, type of inquiry, and the last message for the AI to respond to with personalized content rather than generic output.
The same principle of prompt engineering applies to all HighLevel Anthropic Google models.
Step 4 - Test Each of the Models Using Your Own Case Scenario
Before adopting any of the models in your production environment, test them. Feed the same prompt to all the three models and check out the results generated.
Check which of the results has the best tone that matches your company’s tone, has accurate information, is written in the most natural way, and also meets your guidelines on how to format the copy. The best model for your case scenario will be the one that you will feel comfortable enough using with a real prospect.
Best Use Cases for Each Model in GHL Workflow Types
Below is a useful guide to determine which models to use depending on common agency workflow types:
Claude can be used for:
Follow-ups on high ticket leads that require nuance. Conversational summaries that need to be accurate and complete. Communication with clients that require delicate tone management. Reasoning tasks such as lead scoring explanations, objection reasons, and proposals. About us.
Gemini can be used for:
Multilingual client communication and translations in workflows. Information extraction from structured data such as surveys and forms. Any task related to Google Workspace and requires information awareness. International workflows that require language accuracy.
GPT for:
Mass production of generic response writing - answers to FAQs and inquiries, initial responses to inquiries. Creation of social media and advertisement captions at large scale. Conversational AI suitable for chatbots and website chat widgets. Any task that requires general expertise over specialist abilities.
GHL AI Multi-Model Checklist for Agencies
Before launching any multi-model AI workflows for yourself or for your clients, go through the following checklist:
AI Agent Action update with latest GHL version and model selection
Test all three models using relevant prompts in your niche
Select different models for different workflows according to task requirements – not default one
Write prompts according to context, tone, format, and output requirement
Include contact tokens in prompts for personalization
Test all contacts in workflows before live launch
Review outputs for accuracy, tone, and brand voice
Assign high ticket workflows to Claude
Assign multilingual workflows to Gemini
Assign general workflows with high volume to GPT
Monitor performance of workflows - response rate, booking rate, and conversion rate
Model selection reviewed monthly with GHL models updates
Single Model vs Multi-Model AI in GHL Workflows
How Does This Update Change the Opportunity for the Agency?
There is a very clear new opportunity for agencies providing AI automation services based on GoHighLevel services to their clients, thanks to the update of GHL multi-model AI in 2026.
The vast majority of companies using GoHighLevel will not analyze the difference between Claude, Gemini, and GPT. They will not conduct any tests comparing their efficiency in specific work processes. They will not develop an allocation strategy before starting to use AI actions.
Clients just will set the default and use it.
Agencies knowing how to use the right combination of HighLevel Anthropic Google models in the right way, can provide their clients with much better AI automation service - faster responses, better quality of answers, more natural message tone - than the clients could create themselves.
This is a true technological differentiator, which can be packaged as a premium AI workflow audit and optimization service.
Conclusion
This GoHighLevel AI Agent Action Claude Gemini release isn’t a flashy upgrade where everything looks better in terms of looks, but nothing actually gets upgraded in practice. It’s a real-life, practical solution that allows improving the quality of AI-based workflows instantly for all those who learn how to use it correctly.
Claude for nuance. Gemini for multilingual and structured tasks. GPT for versatility and speed.
Three different models, each better than the others at certain tasks. All three available in the same GHL workflow builder and not requiring any third-party integrations or platforms and without any extra effort beyond choosing the correct option from the dropdown menu.
Agencies that learn how to test and allocate their models right away will have an edge in the quality of workflows, which will only grow stronger month after month during the year of 2026 as GHL continues to improve its AI tools.
Start with one workflow. Try all three models. See which works best. Then spread that knowledge throughout all other workflows.
Frequently Asked Questions
Q: Do I need separate API keys for using Claude and Gemini within GoHighLevel AI Agent Action?
In 2026, the GoHighLevel team integrated model usage natively into the platform itself - check the settings and plans within your own GHL account to see what models are supported by your specific plan and if any extra configuration is needed.
Q: What kind of AI model should I use for GoHighLevel lead qualification workflows?
Claude from Anthropic typically works better than GPT for complicated lead qualification tasks where tone, reasoning, and response quality matter. On the other hand, GPT is a better choice when you need fast lead qualification in large amounts.
Q: Can I use multiple AI models in multiple steps of my GoHighLevel workflow?
Yes - the GHL multi-model AI feature introduced in 2026 allows selecting a different model for every single step of the AI Agent Action workflow.
