SOURCE-LINKED INTELLIGENCE
LandingAgent: A Reference-Annotated Dataset and Agentic Generation Framework for Landing Pages
Landing pages are goal-oriented web interfaces that must communicate a target-specific value proposition while organizing information flow, visual hierarchy, and calls to action (CTA). Although large language models can generate plausible webpage code from natural-language prompts, direct generation often yields generic templates and unsupported persuasive claims. We study target-grounded, reference-guided landing-page generation, where a system must create an executable page for a new target by adapting reusable patterns from real pages without copying them. We introduce LandingBench, a refer
Read original source ↗ Open in workspace
- recordType
- paper
- region
- Global
Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-08-28T04:15:38.000Z
First collected: 2026-09-21T08:21:55.975Z. This is not the publication date.