Turn a Smart List into a Meta Custom Audience in Ad Manager
Ad Manager can build a Meta Custom Audience straight from a Smart List, so you skip the CSV export and can keep the audience in sync as the list changes.
Conversation AI agents can now run on Anthropic Claude or Google Gemini models, with a second model set as a fallback if your primary provider has trouble.
Until recently, every Conversation AI agent in GoHighLevel ran on OpenAI models only. Now you can choose an Anthropic Claude or Google Gemini model for each agent, right from the agent builder. You can also set a secondary model that acts as a fallback.
The fallback is the part worth setting up. If your primary model's provider has downtime or slow responses, the secondary model takes over, so your agent keeps answering leads instead of going quiet. Choosing per agent also lets you match the model to the job. A simple FAQ agent and an agent handling longer, more complicated conversations may not need the same model, and the dropdown lets you weigh speed, cost and reasoning for each one.
One detail makes it work: this is a Labs feature, so the option will not appear in your agent until you turn on Claude & Gemini Model Support under Labs. After you switch an agent to a different model, test it before it talks to real leads. A new model can phrase answers differently, so run a few of your usual questions through the test chat and compare. If you manage agents for several clients, start with one agent, check the results, then roll the change out.
Prefer to watch? The 41-second version
GoHighLevel now lets you pick a Claude or Gemini model for each Conversation AI agent and set a fallback if your provider goes down.
Watch it on its own page, with the transcript.
Agency operators and service business owners who run Conversation AI agents and want a backup if one AI provider has downtime.
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Ad Manager can build a Meta Custom Audience straight from a Smart List, so you skip the CSV export and can keep the audience in sync as the list changes.
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