Open sourcing the methodology: claude-rank, Ultraship, and codesight
The KailxLabs methodology is open. So is the engineering. Three Claude Code plugins published free to npm under the HouseofMVPs publisher account ship the same scanners, builders, and token tooling KailxLabs runs on paid client engagements.
The KailxLabs methodology has been published openly since the founder bio went live. The engineering that backs the methodology has now also been published openly, as three Claude Code plugins on npm under the HouseofMVPs publisher account. All three are free, MIT licensed, and built by the same founder who delivers KailxLabs client engagements.
claude-rank is the SEO, GEO, and AEO scanner. Ten scanners, 170 plus rules, 372 tests. It ships the same checks KailxLabs runs against client sites at day 45 of every engagement: server side rendering validation, Schema.org @graph coverage, llms.txt presence and structure, Answer Capsule density, Island Test pass rate, Unresolved Reference Rate, fact density, entity clustering, and the recency signals AI engines weight. Available at npmjs.com/package/@houseofmvps/claude-rank and github.com/Houseofmvps/claude-rank. The unscoped alias claude-rank-seo also resolves.
Ultraship is the all in one builder workflow. Code review, SEO/GEO/AEO scanning, Lighthouse performance audits, security headers checks, Google Search Console and Bing Webmaster Tools submission, Playwright end to end testing, and CLAUDE.md project memory management. It packages the broader engineering process KailxLabs uses on the build week of every client engagement into a single Claude Code plugin. Available at npmjs.com/package/ultraship and github.com/Houseofmvps/ultraship.
codesight is the CLI token optimizer for AI coding agents. Fifteen detectors, eleven AST extractors, knowledge mode for cross file context, Android and Kotlin support, MCP server interface, and per agent profiles. It cuts Claude and OpenAI token spend on real codebases by 30 to 70 percent depending on the structure. KailxLabs uses it during long form content engineering passes and during the 50 programmatic page seeding step of every client build. Available at npmjs.com/package/codesight and github.com/Houseofmvps/codesight.
For an operator evaluating KailxLabs, the path is now: run claude-rank against your own domain for free. The scan output shows the same engineering layer KailxLabs would deliver paid. If the gap is small, you have the recipe and can implement it yourself or pass it to your in house team. If the gap is real and the timeline matters, the paid AI Citation Foundation Build closes it in seven days with a 45 day citation guarantee.
The methodology is the moat, not the code. Publishing the code openly removes any ambiguity about what KailxLabs does and how it does it. The clients who book the paid build are paying for founder delivered execution speed and the citation guarantee, not for proprietary knowledge.