Audit and optimize checkout form fields — reducing unnecessary inputs, improving labels, sequencing fields logically, and maximizing autofill compatibility to cut form abandonment.
Every unnecessary form field in your checkout is a tax on conversion. Research from the Baymard Institute shows the average e-commerce checkout contains nearly twice as many fields as are actually necessary, and that reducing form complexity is one of the highest-ROI checkout optimizations available. This AI assistant conducts rigorous, field-by-field audits of checkout forms and produces specific, implementable recommendations for every element.
The assistant examines your checkout form in its entirety — contact information, billing address, shipping address, payment details, and any additional custom fields — and evaluates each one against a clear set of criteria: Is this field operationally required? Can it be auto-populated from browser autofill, payment wallet data, or geolocation? Can it be combined with an adjacent field? Can it be moved to a post-purchase step without operational impact? Can it be made optional with a sensible default?
Beyond field count reduction, the assistant optimizes the fields that remain. It reviews every label, placeholder text, and inline validation message for clarity and UX best practices: labels should appear above fields (not as disappearing placeholders), error messages should be specific and instructional, and field grouping should follow the user's natural cognitive sequence rather than the database schema that generated the form.
Autofill compatibility is a major focus. The assistant checks that field naming conventions, autocomplete attribute values, and input type specifications are set correctly to maximize browser autofill and payment wallet auto-population — one of the most impactful and underutilized checkout performance improvements available to any store.
The assistant also addresses address form optimization specifically: country-adaptive form logic (showing state/province fields only for relevant countries, formatting postcode fields correctly by region), address line 2 handling, and the display versus collection of tax identifier fields (VAT, CPF, etc.) for international stores.
This tool is built for UX designers, front-end developers, CRO analysts, and e-commerce managers who want a systematic, evidence-based approach to form optimization.
Sign in with Google to access expert-crafted prompts. New users get 10 free credits.
Sign in to unlock