Editorial standards at KailxLabs

KailxLabs publishes content that AI engines are asked to cite. The editorial standards below define the floor every published page must clear. The standards are open. Competitors, agency partners, and in house engineering teams are welcome to adopt them. What differentiates KailxLabs is not the policy, it is the discipline of enforcing it on every page including the ones nobody is reading yet.

1. Fact density

Every research essay, methodology page, pillar guide, and primary case study must hold a floor of six verifiable facts per 100 words. A verifiable fact is a claim with a specific number, a specific named entity, a specific date, a specific credential, or a specific citation. Soft hedges ("we believe", "many practices", "tends to") are not counted.

Vertical landings and city pages run lighter (the page primary purpose is commercial intent rather than research depth), but every vertical landing still carries at least three verifiable facts per 100 words anchored in the visible body content. Pages that fall below the floor are flagged for rewrite during the quarterly audit pass.

2. Expert review

Every page making a medical claim must be reviewed by a credentialed medical professional before publication. The reviewer is named in the page header byline and declared as a reviewedBy Person entity in the Schema.org graph. The reviewer credential is mapped in the Person hasCredential array.

For KailxLabs internal research and methodology pages, the founder is the named reviewer. For client work, the client's own medical director, named partner, or senior provider is the reviewer of record. The agency does not review medical content without explicit professional sign-off.

Legal content follows the same standard. Every page on a law firm site is reviewed by a named attorney with the relevant state bar admission and practice area expertise. The reviewer is declared as reviewedBy with Attorney additionalType.

3. Primary source citation

Every statistical claim cites the primary source. Where a study or survey is the source, the citation links to the publishing journal or institution, not to a downstream summary. Where a regulatory rule is the source (state bar advertising rules, FDA approval documents, MBSAQIP standards), the citation links to the regulatory body's published document.

Where the source is KailxLabs primary research (the 40 clinic audit dataset, internal citation tracking, methodology stress testing), the citation links to the canonical published source on kailxlabs.co. The source is structured as a citation property on the relevant Article or ScholarlyArticle entity in Schema.org.

4. Recency and lastReviewed

Every page carries explicit datePublished and dateModified metadata. Pages that have not been reviewed in 90 days trigger a re-audit pass during the next quarterly review. For client work, every published page is reviewed at engagement renewal and the lastReviewed property bumped on substantive changes.

The recency signal matters disproportionately on YMYL content. AI engines downrank older medical and legal claims by default. Pages with explicit lastReviewed metadata within the trailing 13 weeks outperform pages with stale or missing recency signals across all four major AI engines per independent ranking factor research.

5. Authorship and reviewedBy

Every Article entity carries an explicit named author. Anonymous content is not published on kailxlabs.co. For client work, the page author is the named client provider, partner, or contractor who can speak to the claim with professional authority. For agency-driven content (methodology pages, research essays, pillar guides, engineering notes), the author is the founder.

The reviewedBy attestation runs separately from the author. The author is the originator of the content. The reviewer is the credentialed professional who signs off on the medical, legal, or technical accuracy. Both are declared in Schema.org. Both appear in the visible page byline.

6. Retraction policy

Short answer. When an error is identified on a published page, KailxLabs corrects the error within 48 hours and publishes the correction with the original claim preserved for audit. The page header carries a "Corrected" label with the date of correction and a brief explanation. The Schema.org dateModified property is bumped. The original error is preserved in a footer note so any AI engine or auditor referencing the prior version can verify what changed.

KailxLabs does not silently edit published claims. Silent editing destroys the audit trail that AI engines and prospective clients rely on to verify methodology. A published page is a public record. Errors are corrected transparently or not at all.

What this policy is not

The editorial standards are not a guarantee of zero errors. Every long form publication carries error risk. The standards are a guarantee that errors will be caught, corrected transparently, and used to tighten the review process going forward.

The standards are also not a moral position. They are an operational requirement for being cited in AI search. AI engines weight content by author transparency, source citation, recency, and review attestation. A page that fails any of the six standards is materially less likely to be cited than a page that holds the floor. The economics drive the policy.

How to verify

Any prospective client, journalist, or researcher can audit KailxLabs editorial standards against the published site. The five spot checks:

1. Open the methodology page and count verifiable facts in any 100 word block. Confirm the floor.
2. Open the 40 clinic audit page and verify the Dataset schema declares license as CC BY 4.0 with full variableMeasured and distribution arrays.
3. Open any case study and verify reviewedBy attestation is declared in the Article schema.
4. Open any glossary entry and verify DefinedTerm schema is declared with explicit termCode and inDefinedTermSet reference.
5. Open the engineering notes feed and verify the most recent note is dated within the trailing 30 days.

Every standard above is enforced through the build pipeline. Pages that fail validation fail the build. The policy is not aspirational, it is shipped.