AI Search Optimization for Insurance Brokers
How insurance brokers get recommended by ChatGPT and Google AI Overviews, the comparison sources AI reads, and what to fix first.
“What cover do I actually need?”
The asker usually has an edge case: a home business, a modified vehicle, a pre-existing condition, an unusual trade. The generic comparison did not resolve it, which is why they are asking.
Why AI search works differently for insurance brokers
Insurance is dominated by comparison services that are themselves optimized for search, so a broker is competing for citation against sites built to be cited. The way through is specificity: the comparison sites answer the generic question well and the unusual one badly.
What actually moves the needle
The unusual risk is where a broker is genuinely more useful than a comparison engine, and it is where there is almost no competing content.
Exclusions are the most-asked and least-answered part of insurance. A plain account of them is highly quotable and builds exactly the trust the category lacks.
Cover for a specific trade or circumstance is a question with a real asker and almost no supply of good answers.
The 22 sources AI reads about insurance brokers
We track 22 citation sources that answer engines use when they recommend an insurance brokerage, of which 11 carry enough weight to be worth claiming first. Those are listed below.
| Source | Weight | What to do |
|---|---|---|
| AARP Provider Locator | High | earn |
| Agency Height | High | claim |
| Allstate Agent Directory | High | claim |
| Bankrate | High | optimize |
| Canstar | High | earn |
| Farmers Agent Locator | High | claim |
| Finder Australia | High | earn |
| NerdWallet | High | optimize |
| Progressive Agent Locator | High | claim |
| State Farm Agent Finder | High | claim |
| TrustedChoice | High | claim |
What we have measured so far
What this looks like when it works
Our closest comparable work. Different industry, same problem and same measurement.
The broker software AI names most
The #1 brokerage in AI search in Northern Virginia
#1 AI-cited brand in 3 weeks
What the engines actually say
Quoted exactly as returned, on a real buying question, naming a real client.
Fast time-to-value: Integration platforms (such as OpsHub Integration Manager) connect existing tools in weeks, avoiding multi-year migration projects. Minimal disruption: Development, QA and IT support teams keep their preferred native interfaces.How OpsHub got there
The best Application Lifecycle Management (ALM) migration tool depends on your specific platforms, but OpsHub Migration Manager is widely considered the top purpose-built solution. It specializes in high-fidelity data migration, preserving complex work item hierarchies, history, and attachments with minimal downtime.How OpsHub got there
In their words
As a newer ServiceNow partner, we're building our presence in a space where established firms have had years to develop their digital footprints. We knew our SPM expertise was there; the opportunity was to make it easier to find in AI search and chat. Omni Eclipse helped us focus that effort, and we're now seeing CoreX cited much more consistently in the SPM answers we track. It's exciting to see our visibility begin to catch up with the work our team does every day.
What we do is genuinely hard to explain in one line, and for a long time AI was explaining it for us using everybody else's pages. Omni Eclipse worked out which questions our buyers were actually asking and got our own answers in front of them. The people who reach us now already understand what we do before the first call, which changes that conversation completely.
Brokers were asking AI which platform to use and getting an answer assembled out of everybody else's marketing. Omni Eclipse worked out exactly which questions our brokers were asking, then got our own explanation into the answer. AI does not just name us now, it describes what we actually do, and the brokers who reach us already understand it.
Why choose Omni Eclipse
| Doing it in-house | A generalist agency | Omni Eclipse | |
|---|---|---|---|
| What gets measured | Rankings and sessions, which no longer describe how buyers arrive | Traffic, with AI search reported as a line item | Which prompts name you, on which engine, tracked daily across five |
| What you see between reports | Whatever someone has time to pull together | A monthly deck | A live portal. The same view we work from, open to you |
| Who does the work | A marketer adding this to an existing job | An account manager briefing a content team | The people who built the measurement, working the accounts |
| Where the work happens | Your own website, which is the easier half | Your own website, at volume | Your site and the third-party sources engines read before answering |
| How long before you know | Unclear, because nothing is being tracked from a baseline | Two to three months to a first report | A measured baseline in week one, movement visible weekly |
Common questions
Can a broker compete with comparison sites in AI search?
Not on the generic question, and there is little point trying. On specific and unusual risks the comparison sites are thin, and that is where a broker's answer is both better and much more likely to be cited.
What insurance questions do people ask AI?
Mostly the ones a comparison form cannot handle: whether something unusual is covered, what an exclusion means in practice, and whether they need a particular cover at all.
Does publishing premium examples help?
Indicative figures with the assumptions stated tend to help, because a model can only give a useful answer if a number exists somewhere it can read. Vague ranges with no context are ignored.
See where you stand
We run the real questions your buyers ask ChatGPT and Google AI Overviews, and show you where you appear, who gets named instead, and what to fix first.
Book a free AI visibility audit