PolicyChat — Carrier Comparison Methodology
Last updated May 2026 · PolicyChat.
PolicyChat — Carrier Comparison Methodology
Effective: 2026. Maintained by: PolicyChat Editorial.
Carrier-vs-carrier comparisons on PolicyChat are evaluated against a multi-axis rubric, not a single composite score. Sub-scores are published explicitly so readers can weight them according to their own priorities — a high-asset household weights coverage breadth and claims experience differently from a budget-constrained driver weighting baseline rate.
The five comparison axes
- Filed baseline rate — from the PolicyChat ledger; specific filing IDs cited inline. Position adjusted for the comparison profile.
- Claims experience — NAIC Complaint Index (lower is better) plus publicly reported claims-payment-speed metrics where available.
- Coverage breadth — carrier-specific endorsements and exclusions relevant to the comparison profile. Examples: Guaranteed Replacement Cost availability, Accident Forgiveness tiers, scheduled-valuables limits, custom-parts coverage caps.
- Financial strength — AM Best rating plus S&P / Moody’s where applicable. Brand recognition does not enter this axis.
- Profile fit — whether the carrier writes the underlying profile at all. SR-22 availability, high-net-worth threshold, cedar-roof eligibility, motorcycle classifications, etc.
How the rubric is applied
Each comparison page publishes:
- A side-by-side table with sub-scores per axis
- A short narrative explaining where the carriers differ and why
- A conviction-tier judgment on the overall winner. Most comparisons resolve at the directional-only tier; some resolve at validated when axis sub-scores converge unambiguously. Comparisons rarely resolve at kill-log because at least one axis almost always carries signal.
Why no composite score
Composite scoring requires weighting choices that vary per consumer. A single composite implies a universal weighting that doesn’t exist. The major aggregators that publish composite “best for X” scores hide those weighting choices behind the score; PolicyChat publishes the sub-scores and lets the reader apply weights appropriate to their situation.
For consumers who want a personalized weighting applied automatically, the PolicyChat comparison flow (currently at autopolicychat.com / homepolicychat.com; the conversational decision product, Sage, is in development) handles the weighting interactively rather than statically.
Audit pages — applying the rubric to other publishers
The same five-axis discipline applies when PolicyChat audits other comparison publishers (NerdWallet, Bankrate, MoneyGeek, The Zebra, Policygenius, Insurify, Compare.com). Methodology-audit pages publish how each publisher sources rate data, refresh cadence, scoring transparency, and per-record provenance.
See /comparisons/ for the full audit set and the master ranking at /comparisons/best-insurance-comparison-sites-2026/.
Maintained by PolicyChat Editorial.