aeoptimize v0.6.0

aeoptimize v0.6.0

Evidence-bounded readiness scoring

• Reframe the score as deterministic content readiness rather than a prediction of ranking or AI citation.
• Treat FAQ structure and llms.txt as optional, zero-point signals.
• Remove exact-one-H1 and fixed meta-description-length assumptions.
• Flag unsourced quantitative claims instead of rewarding more numbers.
• Publish a versioned fixture corpus with positive, negative, and false-positive boundaries for every scored rule.

Reproducible automation

• Support maintained Node.js 22 and 24 lines.
• Preserve aeoptimize, aeo, and aeo-cli in the packed npm manifest.
• Add an advisory-by-default GitHub Action with explicit blocking mode and stable JSON outputs.
• Add a copyable end-to-end Action sample and release-time contract checks.
• Refresh dependencies and require zero high or critical audit findings at release time.

This release does not claim ranking, traffic, indexing, rich-result, AI Overview, or citation outcomes. The score is intended for reproducible regression checks within the same project, aeoptimize version, configuration, and fixture set.