Editorial standards for technical authority and public evidence

Source hierarchy

Use the most direct source that can support the claim. For standards and protocols, prefer the official specification or standards body. For a product or organization, prefer organization-controlled documentation, filings, status reports, procurement records, or technical publications. Use secondary analysis for context only when the underlying primary evidence remains visible.

Current, consequential technical guidance should be rechecked before publication and after material protocol, product, legal, or standards changes. A source being public does not automatically make every interpretation current or correct.

1. Official standards, specifications, statutes, regulations, and government guidance
2. Organization-controlled technical documentation, filings, status reports, and procurement records
3. Peer-reviewed or clearly identified research papers and reproducible technical evidence
4. High-quality secondary analysis used with visible attribution and limitations
5. Analyst inference, labeled as inference and never substituted for a verified fact

Facts, inference, unknowns, and decisions

A verified public fact states what a source actually supports. An inference explains a bounded interpretation of those facts. An unknown identifies information the reviewed evidence does not establish. A decision records what an accountable person chooses after considering the evidence and tradeoffs.

The categories must not be silently merged. A hiring notice is evidence of a role, not proof of a consulting need. A public incident is evidence of an incident and the organization's published explanation, not proof of distress or incomplete remediation. A standard can guide a control design without certifying the implementation.

Answer-first technical writing

Important questions should receive a direct answer near the beginning of the relevant page. Definitions should name the system boundary. Recommendations should state when they apply, what evidence they require, and when the simpler or no-action option is preferable.

Long pages should help readers move from definition to architecture, evidence, failure modes, operating implications, and a next decision. Pages should not be padded with repeated keyword variations or created merely to occupy another search phrase. Google's current guidance for generative search continues to prioritize useful, unique, non-commodity content and ordinary SEO fundamentals. [S1]

AI-assisted drafting boundary

Software and AI tools may assist with outlining, comparison, transformation, quality checks, code, and drafting. They do not become the author, source of truth, or accountable reviewer. Public release requires a human to check the claims, citations, dates, internal links, structured data, privacy boundary, and fit with the actual service and delivery posture.

Generated text should not be published at scale merely to capture search terms. Near-duplicate pages, invented statistics, unsourced quotations, fabricated examples, and claims about customers or certifications are prohibited.

Authorship and entity consistency

Pages identify a named author when a human perspective or technical judgment is being published. The author profile describes the public role and does not invent credentials. Organization, author, service, article, dataset, and breadcrumb structured data must describe visible content and use stable canonical identifiers.

A dedicated SEO plugin may own the final metadata output. In that case, Site Core provides the canonical title, description, and source metadata without emitting a competing head implementation.

Review dates and freshness

A review date means the managed content and its cited technical claims were reviewed for the stated release. It is not evidence that every external source changed on that date. WordPress post-modified dates should change only when visible content changes, not merely because a plugin version was installed.

Pages covering fast-changing protocols, laws, product behavior, current opportunities, or official roles require a new source check before consequential use. Stable architecture principles may remain useful longer, but their examples and links still need periodic validation.

Corrections and supersession

A demonstrated error should be corrected in the canonical page and all derived metadata, public JSON, search indexes, downloads, and long-term memory that repeat the claim. Material corrections should update the review date and be described in the release record.

Conflicting research should remain visible when the conflict is decision-relevant. A later report may bound, supersede, or contradict an earlier one without erasing the original evidence snapshot.

Claims that require stronger evidence

Certifications, registrations, customer names, outcomes, savings, benchmark results, uptime, insurance, clearances, contract vehicles, accessibility conformance, legal compliance, and government past performance require specific approved evidence. Generic marketing language must not be used to imply them.

Structured data is not a place to add claims that are absent from the page. Google's guidance requires structured data to describe the visible page and warns that markup alone does not guarantee a rich result. [S3]

Reader and buyer boundary

Public content provides general technical information and decision resources. It does not inspect a reader's system, establish legal or regulatory compliance, approve production, guarantee safety, replace qualified domain review, or create an engagement.

A public incident, filing, award, job, grant, or product announcement may justify bounded research. It does not create permission for fear-based outreach, personal-data enrichment, or a claim of buying intent.