Build an AI-Optimised Landing Page
Build and publish a landing page engineered to earn AI citations.
ChatBakers 
Claude 
Lovable What this workflow does
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 optimised for AI search after the fact if someone remembers to.
Example prompt
ChatBakers MCP connected ❯ Identify the top 3 prompts in the [topic or product] category where our visibility is lowest. Pull the domain report for those prompts to understand what source structure AI currently trusts most. 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.
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