Guide

Choosing agentic AI platforms for insurance

Regional carriers and independent agencies are being evaluated by AI assistants before a customer ever reaches them. Picking the right agentic AI platforms – the ones buyers actually use, and the ones a carrier or agency plugs into – is now a discoverability decision, not just a tooling one. This guide sets out the criteria that matter.

1. Coverage of the assistants buyers actually ask

Start with the consumer surface. Which AI assistants are buyers in your states and lines using when they ask about insurance? A platform that only optimizes for one assistant leaves most of the market unaddressed. Ask vendors for evidence of mention rate and citation rate across the major assistants, segmented by state and line.

2. Accuracy and verifiable provenance

AI assistants will hallucinate carrier appetite, license status, or agent appointments unless the underlying facts are verifiable. Require per-field provenance: every claim should trace back to a public, dated source – a license filing, a rating action, an appointment record. Records without provenance get downgraded by serious assistants and create regulatory exposure.

3. Brand safety and policy adherence

Regional carriers and agencies need controls over what gets said in their name. Look for platforms that let you mark facts as authoritative, version changes, and revoke outdated claims. Avoid platforms that generate marketing copy on your behalf without a review trail.

4. Portability and protocol neutrality

Records you publish should not be locked to one vendor. The AIRR Protocol approach is to use open formats – schema.org JSON-LD and llms.txt – so the same record is read by every assistant and can move between platforms. If a vendor only writes to its own walled garden, your investment is captive.

5. Measurement and baseline

You can only manage what is measured. A serious platform runs a standing prompt set per state and per line across the major assistants every month, and reports mention rate, citation rate, share of voice, source analysis, and accuracy flags. Insist on a baseline captured before any optimization, so you can attribute change.

6. No touch to core systems

Nothing the platform does should require connection to policy administration, claims, billing, or any internal system. The footprint should be public facts published in public channels. If a vendor asks for core access to do AI work, treat it as a red flag.

7. Agency-friendly economics

Independent agencies place the business. Any platform whose model skips agencies – sending leads direct to the carrier – breaks the channel. Pick platforms that represent the agent and the carrier together, and that route customers to a licensed human who can act.

How AIRR Protocol fits

AIRR is the shared, verified record carriers and agencies publish so AI assistants name regional players in their answers and route through the licensed humans who can act. It is protocol-neutral, vendor-neutral, and portable.

Learn more about AIRR