Pet Insurance: What Agents Look for in Policy Comparison Pages
Pet insurance comparison sites list policies from many providers, covering dogs, cats, and exotic pets. They tend to show headline prices clearly enough, but the details that actually matter when choosing pet insurance are often buried in places agents cannot reach.
The Typical Starting Point
A common comparison results page displays each policy as a card showing the insurer name, monthly premium, and a "See details" button. The card itself contains only those three elements in the HTML. Every other piece of information, the excess amount, annual coverage limit, vet fee cap, dental cover, hereditary condition exclusions, multi-pet discounts, and claim limits, sits behind an expandable accordion that loads content via JavaScript when clicked.
This means an agent comparing four policies on behalf of a pet owner sees four prices and four insurer names. That is not enough information to make a recommendation. The owner's question is usually something like "Which policy covers hereditary conditions for my French Bulldog and has the lowest excess?" The agent cannot answer without accessing the accordion content, and most agents cannot trigger the accordion expansion reliably.
The quote form often has its own problems. Pet breed selection frequently uses a custom autocomplete searching a large database of dog and cat breeds. The component is built with div elements and keyboard event handlers that do not match standard input behaviour. An agent that types "French Bulldog" into the field gets no response because the component expects a specific interaction pattern: type at least three characters, wait for the suggestion dropdown to appear, then click (not press Enter on) the correct suggestion.
In an agent readiness audit, sites like this tend to block agents at two points. Some cannot complete a quote because of the breed field, and those that do get through the form cannot extract meaningful comparison data from the results.
What to Change
Focus on two areas: making policy details visible and fixing the quote form.
Full policy details in initial HTML. Expand every policy card to include all key data points as visible HTML, not hidden behind accordions. The card should show monthly premium, annual premium, excess per claim, annual coverage limit, vet fee limit per condition, whether dental is included, hereditary condition coverage (yes, no, or with waiting period), pre-existing condition policy, multi-pet discount, and claim process (online, phone, or both).
This is a lot of information, but it can be structured as a compact data table within each card. Human users often prefer it, because they can compare policies at a glance without clicking back and forth between accordions. The tab and accordion pattern of hiding content makes comparison harder for everyone, not just agents.
Schema.org markup on every policy. Give each policy card JSON-LD markup using the Product type with insurance-specific properties. Premium, coverage limits, and key features should all be machine-readable. Agents that support structured data extraction can then pull comparison data without parsing the HTML at all.
Native breed selection. Replace the custom breed autocomplete with a standard select element containing all breeds, grouped by pet type using optgroup elements. For the large breed lists, add a native datalist as an alternative input method. Both approaches work reliably with agents, and the visual experience stays smooth because modern browsers handle large select lists and datalist suggestions well.
Standard quote form throughout. Replace all custom form components with native HTML equivalents. Use a number input for pet age, radio buttons for cover level, and a date input for the start date. Give every field a visible label.
What Improves
With the full policy details visible in the HTML, agents can complete quotes that previously stalled and, more importantly, can actually compare policies on the terms that matter. The quality of recommendations improves because the agent can see the whole picture: excess, coverage limits, breed-specific exclusions and waiting periods, rather than just a price and an insurer name. Better matching tends to mean owners are more likely to proceed to a provider once they have a recommendation that genuinely fits.
What Pet Insurance Sites Should Learn
Pet insurance comparison is a task agents are well-suited for because it requires holding many variables simultaneously. Excess amounts, coverage limits, breed-specific exclusions, waiting periods. Humans struggle to compare these across more than two or three policies. Agents can process all of them if the data is accessible.
The accordion anti-pattern is the most common problem in insurance comparison. It makes visual sense to tuck detail away until someone asks for it. But it hides the very information that makes comparison meaningful. If the data matters for choosing between options, it should be in the HTML, visible and marked up.
The breed selection problem is worth noting separately because it applies to any form with a large, specific vocabulary. Custom autocomplete components break agents. Native select elements and datalist inputs work. The trade-off in visual sophistication is minimal; the gain in agent compatibility is significant.