Resources · Getting Recommended by AI

Why Does ChatGPT Recommend an Insurance Carrier's Broker Partners but Not the Carrier Itself?

ChatGPT recommends an insurance carrier's broker partners rather than the carrier because most buyer questions are about who to buy from. For lines sold through intermediaries, the accurate answer is a broker or agent. Brokers also have the evidence assistants use for those questions: local pages, Google Business Profiles, reviews and plain-language coverage explanations. Carriers' websites are often written for agents, with appetite guides in PDFs, rates available only through quotes, and product details behind agent portals. The carrier can still appear. It needs public, readable pages for the questions where the carrier choice matters, such as appetite, claims service, financial strength and specialist coverage.

Why do brokers dominate the answers?

Reason What it looks like
The question is about buying "Where can I get restaurant insurance in Austin?" is answered with local agents and brokers
Distribution is through intermediaries Many commercial and specialty lines cannot be bought directly from the carrier, so assistants suggest a broker
Brokers have local signals Business Profiles, reviews and city pages match "near me" and city questions
Brokers write for buyers Articles explaining coverage, costs and claims in plain language are easy to cite
Carrier content is for agents Appetite guides, underwriting rules and product sheets sit in PDFs or behind logins
Comparison sites are brokers too For personal lines, comparison and quote sites, many of them licensed agencies, can be cited instead of the carrier

Assistants also tend to suggest an independent agent for complex coverage, because an agent can compare several carriers. For many buyers, that is sensible advice.

Is it actually a problem?

That depends on how the carrier sells.

  • If the carrier sells only through brokers, broker recommendations are the expected route. The question is whether the carrier's name appears inside those answers. An answer might say "an independent agent can quote carriers such as...", or a broker's page might name the carrier.
  • If the carrier also sells direct, absence from answers to direct-buying questions is a lost channel.
  • If a competitor carrier is named and you are not, in questions like "best insurers for contractors", that is a visibility gap regardless of channel.

Which questions should a carrier test?

Separate them by who the carrier can realistically win:

  • Carrier-choice questions: "Best insurance companies for small restaurants", "Which insurers cover cannabis dispensaries?", "Most reliable commercial auto insurers".
  • Claims and service questions: "Which insurers pay claims fastest?", "[Carrier] claims experience".
  • Financial strength questions: "Is [carrier] financially stable?", "A-rated insurers for [line]".
  • Appetite questions: "Insurers that write [niche risk] in [state]".
  • Direct-buying questions, if you sell direct: "Get a [line] quote online".
  • Broker-led questions, to see whether you are named inside broker answers: "Should I use a broker for [line]?"

Run them in ChatGPT, Google's AI Overviews and AI Mode, Gemini, Perplexity and Copilot. Record whether the carrier is named, whether it appears only through a broker, and which sources are cited.

How should the results be recorded?

A simple "mentioned or not" misses the broker route. Record each answer in one of four states:

  1. Named directly as an insurer to consider.
  2. Named through a broker, for example "local agents such as X can quote [carrier]".
  3. Implied only, where a broker partner is recommended but the carrier is not named.
  4. Absent, with neither the carrier nor any of its brokers mentioned.

Add the line of business, the state or country, the cited sources, and whether the answer describes your appetite, ratings and claims service correctly. Over a few months, movement from "implied only" to "named through a broker" is a meaningful gain for a broker-only carrier, even if it is rarely named directly. For carriers that also sell direct, track "named directly" separately for direct-buying questions.

What can a carrier do?

Make appetite and product information public

Many carriers publish appetite guides only to appointed agents. Where competitive and regulatory considerations allow, publish readable HTML pages for each line and target industry. Cover who you insure, the key coverage features and common exclusions, the states you write in, and how to get a quote through an agent. These pages answer "which insurers cover X" questions directly. PDFs and portal-only content are much harder for assistants to use.

Show carrier-level evidence

  • Financial strength ratings, such as AM Best, stated on the site with the date of the rating.
  • Claims process in plain language: how to file, typical steps, contact routes.
  • Independent service measures, such as customer satisfaction studies, where the carrier is covered.
  • Complaint data where it is public and favourable; many state regulators publish complaint indices.

Help brokers name you

Brokers' pages are what assistants cite for buying questions. Provide appointed brokers with accurate, compliant descriptions of your products for their sites. Encourage specific pages ("restaurant coverage we place with [carrier]") where both parties agree. Keep a crawlable "find an agent" page in HTML, listing agents by state or city.

Consider direct AI distribution

Some insurers now quote directly inside ChatGPT. In February 2026, OpenAI approved an app from Tuio, a Spanish digital insurer, that gives home insurance quotes in ChatGPT. Insurance broker shares fell on the news. Liberty Mutual has launched a carrier-backed app for auto quotes in ChatGPT in several US states. Direct AI distribution raises channel-conflict questions with brokers, so treat it as a distribution decision, not a marketing tactic.

Keep advertising compliant

Insurance advertising is regulated at state level in the US and by financial regulators elsewhere. Claims about coverage, price and claims speed on public pages need the same compliance review as any other advertising.

The sector's wider context is covered in how finance and insurance companies can tailor a GEO strategy. The reverse situation in other industries is covered in why ChatGPT recommends the manufacturer instead of an authorised reseller.

What might an illustrative audit show?

Consider an illustrative regional commercial carrier that writes contractors' insurance in six states through independent agents. It tests 30 questions. For "contractor insurance in [city]", answers name local agencies, citing their Business Profiles and blog posts; the carrier is never named. For "best insurers for general contractors", answers name three national carriers, citing publisher lists and the carriers' public industry pages. The regional carrier's contractor appetite exists only as a PDF for appointed agents. It publishes a public contractors page with its appetite by trade and state, its AM Best rating and claims process, and a state-by-state agent list. Two of its largest brokers add pages naming it for contractors. Three months later, the carrier appears in some "best insurers for contractors" answers. Several agent-led answers now say local agents can quote it.

What do people ask about carriers and AI recommendations?

Should a broker-only carrier try to appear in "near me" answers?

Usually not. Those answers are about local intermediaries. Focus on carrier-choice and appetite questions, and on being named by brokers.

Do financial strength ratings help in AI answers?

They matter for questions about reliability. State the rating and date clearly so assistants can repeat it accurately.

Will brokers object to carriers publishing appetite pages?

Some might. Pages that direct buyers to appointed agents support brokers rather than compete with them.

Are comparison sites a threat to carriers' visibility?

For personal lines they often appear prominently. Carriers there benefit from accurate listings and good ratings on those sites.

Published by The Kovmere Team · updated Sep 29, 2026 · More resources