ChatGPT Ads give insurance agencies a paid way to reach prospects as they research insurance through AI. A useful test needs a clear goal, relevant ads, a focused landing page, and tracking that connects inquiries to new business.
At Catalyit’s GetLYIT 2, Jason Furst and Bria Sylvester, representing ChatGPT Ads, explored what this channel could mean for independent agencies.
Their central question: When your next client asks AI about insurance, will your agency be part of the conversation?
AI conversations let prospects describe their needs in more detail than a short search query. Agencies can use that insight to create more relevant messages.
A traditional search might be “business insurance near me.” An AI prompt might explain that the person is opening a business, needs help understanding coverage, and wants a local agent.
That context reveals what the prospect needs to know:
Your marketing should answer those questions. Name the customers you serve, the problems you help solve, and the next step.
No. ChatGPT ads are paid placements. Answer engine optimization, or AEO, focuses on making website content clear, useful, and easy for answer engines to interpret.
During the session, Sylvester explained that ad selection and the model’s response operate independently. Buying an ad does not secure an organic recommendation.
Agencies can pursue both efforts. Use ads to communicate a specific reason to contact your team. Use website content to answer questions and explain your expertise.
Context hints describe the services, use cases, and customer needs associated with an ad group. They add information the ad and landing page may not fully cover.
OpenAI states that context hints are not exact-match keywords. They do not replace geographic or audience targeting or guarantee placement in a particular conversation. Read OpenAI’s targeting guidance.
Illustrative insurance agency context hints include:
Choose descriptions that reflect what your agency offers. Specific, accurate language is more useful than a broad phrase such as “insurance solutions.”
Use geographic targeting settings to define your service area.
Start with one business goal. Then group related customer needs and create ads that address them.
OpenAI organizes advertising into campaigns, ad groups, and ads. Campaigns contain settings such as budgets and targeting. Ad groups organize related ads and shared settings, including context hints. See OpenAI’s campaign overview.
An agency seeking business insurance inquiries could use this structure:
| Campaign element | Example |
|---|---|
| Goal | Generate qualified business insurance inquiries |
| Ad group | First-time business owners |
| Customer need | Help understanding insurance options |
| Ad message | Explain how the agency helps new owners |
| Landing page | A focused business insurance page with a clear contact option |
Sylvester recommended creating multiple ad variations because people express similar needs in different ways.
Her recommendation concerned creative variations across ad groups and ads. It was not a requirement to create 100 separate campaigns.
The takeaway: Build enough message variety to address distinct needs, while keeping the campaign manageable.
A useful landing page delivers on the ad’s promise. Visitors should quickly understand whom you help, what you offer, and how to contact you.
If your ad speaks to first-time business owners, the destination page should address those owners directly.
Include:
Review the ad and landing page together. The message should stay consistent from the first click to the contact request.
During GetLYIT 2, Sylvester suggested a $5,000 test budget to gather early results. She explicitly said it was not a required minimum.
The session did not specify a timeframe, so agencies should not interpret that figure as a monthly requirement.
Before setting a budget, define what you want to learn. For example:
Can ChatGPT ads generate qualified business insurance inquiries in our service area at an acquisition cost that works for our agency?
Set a spending limit, a review date, and a definition of a qualified lead. Judge the test by business outcomes, not clicks alone.
Track whether advertising produces qualified opportunities, quotes, and customers.
OpenAI offers a measurement pixel and conversions API to support advertising measurement. Explore OpenAI’s advertising tools.
Connect campaign activity to four outcomes:
Review lead quality alongside cost. A low cost per inquiry means little if those inquiries rarely become business your agency can write.
Catalyit encouraged agencies to understand the channel and consider a measured test. Jason Furst explicitly stated that Catalyit was not endorsing the platform.
He also noted that results varied and benchmarks were still developing.
For agencies considering a test, the next steps are straightforward: Choose one goal, align your ads and landing page, establish tracking, and evaluate the results before expanding.
ChatGPT ads offer a paid channel for presenting agency services to prospects. Confirm current account access, advertising eligibility, and available features before planning a launch.
Buying an ad does not secure an organic recommendation. During GetLYIT 2, Sylvester explained that ad selection and the model’s response operate independently.
No. Context hints describe relevant services, use cases, and needs. OpenAI states that they are not exact-match keywords. Read the context hint guidance.
Sylvester suggested $5,000 as a test budget during the session and explicitly said it was not a required minimum. Confirm current account requirements before committing funds.