Command
Use the Peec MCP to identify the top 3 prompts in the [topic or product] category where our visibility is lowest. Then pull the domain report for those prompts using get_domain_report to understand what source structure AI currently trusts most. Using those findings, build a landing page for [product or topic] that is specifically structured to be retrieved and cited by AI search engines. The page should address the exact questions where we are invisible, use the structural patterns AI currently rewards in this category, and include the entities and types of claims present in top-cited sources. Publish via Lovable.
The development queue is the biggest bottleneck between an insight and a live page.
Most teams know what content they need to create; the delay is in getting it built and published. This bypasses that bottleneck entirely.
The page is not just generated quickly, it is generated intelligently: built from your actual visibility gaps, structured based on what AI currently trusts in your category, and published without a single engineering ticket.
The result is a landing page that was designed to earn AI citations from the start, not one that gets optimized for AI search after the fact if someone remembers to.
