Industries / Regulated & high-trust / Insurance

Your customers ask AI which insurer to trust. What does it say about you?

AEO for insurance means getting your brand named accurately when customers ask AI which insurer to trust. People ask AI to compare cover and explain exclusions before they visit a comparison site. The insurers it names get the quote request. The rest are left out, or described inaccurately.

InsurersBrokersInsurtechEmbedded partners

Prompt

Which car insurance is best for a new driver?

AI answer

  1. 1.Lumen Insure · clear young-driver cover, fast claims
  2. 2.Harbour General · broad workshop network
  3. 3.Crestline Assurance · low excess options
source · comparison sitesource · forumsource · policy wording

Illustrative example · fictional brands

In insurance, being in the answer isn't enough. The answer has to be right.

Insurance is one of the most-asked categories in AI assistants, because the products are complex and buyers want someone to explain them. AI fills that gap with whatever sources it trusts: comparison sites, forums, news, and your own policy pages.

When those sources are thin or out of date, AI misstates coverage, repeats old premiums, or recommends a competitor with clearer information. For a regulated product, an inaccurate answer is a business risk, not just a missed lead.

Insurers that publish clear, structured, current product and claims information become the source AI relies on.

What your buyers are asking AI

These are the high-intent moments where an AI answer shapes the shortlist before a buyer reaches your site.

“Which car insurance is best for a new driver?”

Direct recommendation; AI names 3 to 4 insurers

“Does [insurer]'s travel insurance cover pre-existing conditions?”

Coverage accuracy; AI quotes your policy, or someone else's summary of it

“Which insurers pay claims fastest?”

Trust query; AI draws on reviews, news, and published claims data

“Compare [Insurer A] vs [Insurer B] for family health cover”

Head-to-head; AI relies on structured product differences

“Is term life or whole life better for a 35-year-old?”

Educational; whoever explains it clearly becomes the trusted name

“Best insurance for electric vehicles”

Emerging category; early, clear content wins outright

“Is [insurer] good? Reviews and complaints”

Reputation; AI aggregates sentiment across sources

“Which insurtech platforms help insurers launch products faster?”

B2B query; for insurtechs selling to carriers

Who this is for

  • General and life insurers
  • Digital insurers and insurtechs
  • Insurance brokers and aggregators
  • Bancassurance and embedded insurance partners
  • Insurance technology vendors selling to carriers
  • Reinsurers and specialty lines building B2B visibility

How we work

  1. 01

    Measure

    Answer Share and the Answer Chain for your buyers' questions, with ranges.

  2. 02

    Diagnose

    Answer Gap, Accuracy Check and Answer Grid: where you are missing, what AI gets wrong, which pages to fix first. For example, check policy exclusions against approved cover facts.

  3. 03

    Act and write

    Fix, Claim, Correct, Compete for every source, and pages written to the Answer Standard.

  4. 04

    Keep it true

    A fact register, a quarterly audit and a monthly re-measure.

Find out what AI tells your customers about your cover.

We write the questions your buyers ask AI and check whether ChatGPT, Gemini, Claude and Perplexity name you.