Most insurance professionals are feeding AI tools random marketing assets and wondering why every output sounds like it came from the brokerage down the street.
Here's a test that will reveal whether your agency, MGA, or insurtech has a brand problem disguised as an AI problem. Open ChatGPT or Claude. Upload whatever you have that documents your brand, a capabilities deck, your website's About page, or that positioning document from 2019. Then ask: "Reference our brand strategy. Here are our prospect nurture emails and renewal communications. Where does our brand promise break down between what we say in sales and what clients actually experience?"
If the AI gives you specific, actionable feedback that sounds like it understands your firm, congratulations. Your brand is documented well enough to scale with AI. If you get generic observations that could apply to any insurance operation, that's not an AI limitation. That's a strategy gap, and it's costing you more than any subscription fee.
Insurance firms are investing in AI tools, then watching their content become indistinguishable from competitors. Someone starts using AI to draft renewal letters, claim communications, and prospect outreach. Six months later, every piece sounds like it could have come from any commercial broker or P&C carrier in the market.
The problem isn't the AI. Most firms are running 2024 AI tools on brand foundations that exist entirely in the founder's head. When AI doesn't know what makes your brokerage different from the one across town, it defaults to industry generic. You end up with the most expensive mediocrity generator ever built.
Your brand strategy document becomes the foundation your AI runs on. Not a PDF buried in shared drives, but a working document that gives AI real direction about your firm's positioning.
This should contain your specialty lines, your ideal client profile, your perspective on industry trends, and what differentiates you from other brokers or carriers. If a new producer couldn't read it and immediately understand what makes your agency different, it won't help AI either.
Create a voice layer next. Here's what works:
Attach both files before any AI task. The difference in output quality is immediate.
Don't tell AI to "handle marketing." That's like telling a new CSR to "figure out client service." Instead, create specific roles:
When each AI interaction has clear parameters and your brand foundation as context, output stops sounding like everyone else's insurance marketing.
PwC research shows technology delivers only 20% of an AI initiative's value. The other 80% comes from redesigning the work around it. Insurance firms getting real AI results did the strategy work first.
The question isn't which AI tools your agency should buy. It's whether your team knows what your brand stands for well enough that any tool, human or AI, can execute on it consistently.
If not, start there. Document your positioning. Define your voice. Then let AI do what it does best: executing a strategy that already exists. Your competitive advantage isn't better prompts. It's having a brand strategy your AI can actually understand and amplify.
Read the full article: the most expensive shortcut in marketing right now
*Source: Azelie Studio, Brand Strategy Newsletter | Tags: marketing, branding, strategy*