[P2] Audit: llms.txt is too shallow for AI answer-engine discovery

[baixiangcpp]

Imported from the byteflow.tools deep audit on 2026-06-22.

Problem: llms.txt exists and gives basic site-level information, but it is too shallow to help AI answer engines understand the tool inventory, privacy model, categories, workflows, and canonical resources.

Affected URL:

• https://byteflow.tools/llms.txt

Reproduction steps:

1. Open /llms.txt.
2. Review whether it lists canonical category pages, top tools, trust/privacy pages, workflows, and content clusters.
3. Compare it to the sitemap and core navigation.

Expected behavior: llms.txt should provide a concise but useful AI-readable map of the site.

Actual behavior: it only contains high-level canonical, sitemap, locales, contact, and GitHub information.

Impact: weaker AI/LLM discoverability and less precise citations in answer engines.

Proposed fix:

• Add top-level category links.
• Add top tools by category with short descriptions.
• Link Trust Center, Privacy Policy, About, Pricing, Install App, and GitHub.
• Add workflow and content cluster references.
• Keep file compact and canonical.
• Consider /llms-full.txt for a larger index.

Acceptance criteria:

• llms.txt includes categories, major tools, trust resources, and workflows.
• It remains human-readable and under a reasonable size.
• All listed URLs are canonical and indexable.
• Updates are generated from manifest data to avoid drift.

[baixiangcpp]

Closed as completed by the canonical BF audit backlog work. This older non-BF audit issue duplicates work now merged through PRs #209-#219, with the BF issues closed and guard/test coverage in place. The remaining non-duplicate follow-up is #7, which stays open because the upstream Next/PostCSS advisory is not fixed yet.