Landing page optimizer

Landing-page recommendations are a pure-function recommender. Given a page's parsed audit and the workspace's entity graph, it emits up to nine recommendation kinds with effort estimates and a one-line rationale each:

• Add/repair FAQ section with answer-engine-shaped Q/A pairs.
• Add comparison table for the named competitors.
• Add comparison-row schema (Product or SoftwareApplication offers).
• Add proof-of-claim modules (citations, methodology link, named customers).
• Add Organization JSON-LD with sameAs across socials + Wikidata.
• Add Person JSON-LD for named founders.
• Add NewsArticle / Article schema for pillar pieces.
• Improve internal-link density to underlinked peer pages.
• Strengthen H1 / above-the-fold value prop with citable facts.

Each recommendation is scored by impact / effort and ordered for an operator who has “90 minutes this week” rather than a quarter.