AEO EngineOwn the Answer Buyers Get Before They Contact an Agent
A business owner comparing commercial cover, or a family weighing a life policy, now asks an AI assistant first. We make your agency the one those answers name and we score it every month by line of business, so new business arrives through a channel you keep rather than a name you rent from a lead vendor.
Built for established independent agencies and for life, health and commercial producers
Why Insurance Marketing Has to Cover the AI Answer
Principals rarely ask whether the marketing is working. They ask why the agency is not writing more of the business it wants. That question lands on cost per bound policy and on how many buyers reach a producer already knowing who you are. Both are decided before anybody fills in a form, and increasingly they are decided inside an AI answer nobody in this category is measuring.
The research that precedes a policy now starts inside an AI assistant, not on a comparison page
AI visibility is not a chatbot on your site
When an agency hears AI, the picture is usually a chat widget, a quoting tool or software that drafts paperwork. Those are operations projects and several are worth buying. This is a demand problem instead. It is whether ChatGPT, Google AI Overviews, Perplexity, Copilot and Gemini name your agency when somebody in your market asks who to call about a coverage need. That is settled outside your website, in the sources those engines already trust.
The adoption chain runs from your peers to your buyers
The Big "I" 2026 agency study put two thirds of US agencies increasing their AI use, with 45% already running large language models. Guidewire found more than 21% of Gen Z in Europe use chatbots when choosing an insurer. Accenture put 74% of consumers willing to trust a personal AI agent with a purchase, and Invoca found more than 40% of high consideration buyers use generative AI first. Each link is labeled for what it measures, and no US study has yet put a number on the agent choice itself.
The shared lead machine prices your growth
EverQuote and QuoteWizard sell the same inquiry to 3 to 8 agents. Per lead pricing runs $10 to $60 or more by line, live transfers go past $120, and once contact and close rates are applied the effective cost lands around $312 to $900 per sale. Blended acquisition cost across a book benchmarks at $792 to $900. The math still works under $500 on personal lines and under $1,000 on commercial. Every input in it is set by a vendor whose revenue is the resale.
An answer compounds, a purchased name resets
A bought lead delivers one conversation and then asks for the next one at a higher price. An answer that names your agency keeps returning your name after the invoice clears, and the authority behind it accumulates rather than resetting each month. That is the difference between renting your pipeline and owning it.
“A purchased lead buys one conversation and then asks for the next one. An answer that names your agency keeps working after the invoice clears.”
What Is Actually Costing You Policies
AI answers name comparison sites and direct carriers, not your agency
Ask an assistant who to call about commercial cover in your city and the answer tends to lead with national brands, marketplaces and directories. Your agency appears late, or not at all, because nothing in the sources those engines trust says enough about the lines you actually write.
Our solution: We measure how often your agency appears in the answers buyers get for the coverage you write, name the agencies, carriers and comparison sites holding those answers, and build the content and third party consensus that changes the result.
Your site does not answer the questions a buyer actually has
A buyer wants to know what a policy costs for a business their size, what is excluded, what limits are normal in their trade, and what happens at claim time. Most agency sites answer none of that before a contact form appears, so the research continues somewhere else and finishes with whichever agency the answer named.
Our solution: We build coverage, cost, exclusion and comparison content in language both buyers and AI engines can quote, so the research ends with your agency and the buyer reaches a producer already informed.
Your cost per sale is set by a vendor that resells the same inquiry
When purchased leads drive most of your new business, the price is set by whoever will pay most for a name that several agencies receive at once. Every year that share stays high, more of the commission is spent before a producer speaks to anyone.
Our solution: We build the owned channel that lowers blended acquisition cost over time, then report answer share against lead vendor dependence every month so the shift is visible to a principal rather than only felt in the numbers.
Inquiry volume looks fine and bound policies do not follow
Shared inquiries arrive early, price shopping, and already in front of every other agent who bought the record. Your producers work them anyway. Close rate carries the cost of that, and nobody upstream of the phone call is accountable for what arrives.
Our solution: We tune for the questions buyers ask in the week they decide, so the people reaching your producers already understand the coverage, the likely range of premium and why an agent is worth having, and convert at a rate your team recognizes.
Nobody in the category publishes a number for any of this
Insurance agencies are sold marketing on impressions, leads and page one rankings. No agency, carrier or comparison site in insurance publishes a measured AI visibility number today, so a principal has no way to tell whether the channel is working.
Our solution: We put a measured number on your AI share of voice, track it monthly by line of business against named local competitors, and hand it over in the same shape every month whether it moved or not.
How We Build Insurance AI Visibility
One system across four areas. The point is not more traffic. It is more buyers reaching a producer already knowing who you are, from a channel you own, at a cost per bound policy you control.
AI Answer Measurement
Establish where you stand before anything is built, then track it every month.
- •AI share of voice scored separately for each line of business you write
- •Hundreds of tracked buyer questions per market rather than a single screenshot
- •Comparison site and direct carrier presence scored inside the same answers
- •Named local agency competition rather than a national average
- •Monthly movement reporting a principal can act on
The Questions Buyers Actually Ask
Content built around the decision a buyer is making, not around keyword volume.
- •Coverage and cost content that answers before a contact form appears
- •Exclusions, limits and endorsement content by trade and by line
- •Comparison content across captive, independent and direct routes to cover
- •Claims process content, which is where trust in an agent is actually won
- •Question first formatting that AI engines can quote without rewriting
Agency and Producer Authority
Make your agency and your named producers legible as entities to search engines and answer engines.
- •Line of business page architecture rather than one services page
- •Google Business Profile work for every office you operate
- •Structured data for organization, place, service and financial product signals
- •Review strategy that holds up under the scrutiny a commercial buyer applies
- •Producer profiles that make licensed specialists readable as named experts
Third Party Consensus
Engines weigh what other sources say about you far more heavily than what you say about yourself.
- •Trade press, local business press and association coverage that names your agency
- •Directory and listing accuracy across the sources engines read
- •Expert positioning for your commercial and life specialists
- •Citation building on the insurance and finance sources engines already trust
- •Monitoring for how third party mentions move your answer share
What an Engagement Includes
AI Visibility Audit
A measured baseline of how often your agency appears in the answers buyers get, which agencies, carriers and comparison sites hold those answers, and where the gap is widest.
Acquisition Cost Analysis
Current cost per bound policy by channel, your exposure to shared lead pricing, and the modeled effect of moving a share of that spend into owned channels.
Buyer Question Map
The research path a buyer takes in your markets, from first coverage question through cost and exclusions to contact, mapped to the pages and answers that intercept it.
Line of Business Page System
Page architecture and content for every line you write and every market you serve, built so each one can rank and be cited on its own.
Cost and Coverage Transparency Content
The premium range and exclusion content most agency sites avoid, written so it answers the buyer question and gives engines something concrete to quote.
Structured Data Deployment
Schema for organization, offices, producers, services and frequently asked questions so machines read your agency correctly.
Authority and Citation Building
Trade press, directory and expert citation work on the sources AI engines weigh when assembling a recommendation.
Monthly Scorecard
AI share of voice by line of business, question coverage, authority velocity and qualified inquiry growth, reported the same way every month.
What This System Has Done in Other Categories
Two published results from categories where trust decides the purchase the same way it does in insurance, each labeled as what it is. No agency, carrier or comparison site in insurance publishes a measured AI visibility number today, so the seat is open. Prior results do not guarantee a similar outcome.
ASK4SAM (Silberstein & Miklos, P.C.)
Legal, personal injuryA licensed, local, consultation led business competing on trust, which is the closest published analogue we hold to an insurance agency. A firm with two offices entered our New York benchmark in 7th place and ranked 2nd of 72 tracked firms 180 days later, holding 12.7% AI share of voice against a national competitor at 4.3% over a 30 day window.
DI ORO
Direct to consumerA brand chosen the way your buyers are starting to choose, through an answer rather than a results page. Organic traffic up 306% and organic sales up 559% in four months, with the brand holding the leading AI citation position in its category.
Who We Build This For
Established Independent Agencies
Agencies past $300K in revenue with a producer bench, a marketing budget running at 3 to 10% of commission, and a principal who already knows what a bound policy costs to acquire.
Commercial Lines Agencies
Agencies writing business owners who research for weeks, ask complicated questions and generate enough commission on one account to justify an owned channel.
Life and Health Producers
Producers selling a decision families research privately before they speak to anyone, where the answer read during that research decides which name gets the call.
Specialty and Program Agencies
Agencies with a niche worth defending, where being the named expert in an answer is worth more than any volume of general inquiries.
Agencies Cutting Lead Vendor Dependence
Principals watching shared lead pricing climb who want a channel that keeps producing once the vendor invoice stops.
Insurance Marketing as Usual vs AEO Engine
Questions Agency Principals Ask Us
Is this a chatbot for our website?
No. We do not install anything on your site that talks to visitors, and we do not sell quoting widgets, underwriting tools or producer writing assistants. What we work on is whether ChatGPT, Google AI Overviews, Perplexity, Copilot and Gemini name your agency when somebody in your market asks who to call about a coverage need. Those systems assemble a recommendation from sources they trust, most of which are not your website. Our job is to get your agency into that set and hand you a measured number for it every month.
Is there real evidence buyers use AI to choose an agent?
The Big "I" 2026 agency study put two thirds of US agencies increasing their AI use, with 45% already using large language models. Guidewire found more than 21% of Gen Z in Europe use chatbots when choosing an insurer. Accenture put 74% of consumers willing to trust a personal AI agent with a purchase, and Invoca found more than 40% of high consideration buyers use generative AI first. Three of those four sit next to your buyer rather than on your buyer, and we label each one that way. The direction is evidenced. Your own number comes from the audit.
We write mostly commercial and life. Is this built for personal lines?
It is built for the opposite. Personal auto is largely a price comparison and a direct carrier fight, and an owned answer moves it least. Commercial, life, health and specialty are where this works, because the buyer researches for weeks, the question is complicated enough to need explaining, and the commission on one bound account justifies the channel. If your book is mostly personal auto at a few hundred dollars in commission, say so on the call and we will tell you it is a poor fit.
How is this different from buying exclusive leads?
We report AI share of voice against named local agencies every month and set it against what you currently pay per bound policy. An exclusive lead is a better version of the same purchase. You still rent the name, you still pay per unit, and the price still rises when demand does. What you own instead keeps returning your name after the invoice clears, with a number attached to it by line of business.
How does an AI assistant decide which agencies to name?
Engines assemble a recommendation from sources they trust more than they trust you. Directories, trade and local business press, reviews, association listings, licensing records and structured content that answers a question cleanly. Your own website matters, but third party consensus carries more weight, which is why authority work is usually the largest line in an insurance budget. It is also why the position is hard to buy quickly and hard to displace once you hold it.
Do you have an insurance case study?
In legal, the system took a firm with two offices from 7th to 2nd of 72 tracked firms in its market, holding 12.7% AI share of voice against a national competitor at 4.3%. In direct to consumer, one brand saw organic sales rise 559% in four months while holding the leading citation position in its category. Both are labeled as what they are. The proof that is about your agency is the audit, because it shows you your own numbers before you commit to anything.
How long before this shows up in written premium?
Answer share and question coverage usually move within 60 to 90 days. Bound policies typically follow across 4 to 6 months, because a commercial or life buyer takes weeks to decide and underwriting sits behind that. It compounds from there, which is the point of owning the channel rather than renting the name.
Find Out What AI Tells Buyers About Your Agency
We pull the live answers for your markets and show you where your agency sits, which agencies and carriers hold those answers, and what it is costing you in bound policies.
We take a limited number of insurance audits each month