Editorial policy

NV Digital may use software and AI tools to organize research, outline drafts, and edit language. Named human authors or editors remain responsible for sourcing, factual verification, recommendations, and the publication policy. Articles are not published because a model produced them, and they are not described as entirely human-written when tools assisted.

Since October 7, 2026, the owner has authorized documented AI review for a limited set of informational research reports and evidence-based case studies. Each asset must be explicitly registered in the review scope before this path is available. OpenAI Codex is identified as an AI reviewer; its approval is not independent human approval and is never attributed to Noah Masri or James Delaney. Existing human-review records are preserved. Registration alone does not approve an asset. The recorded review includes the model, date, evidence checks, privacy, limitations, informational intent, and a digest of the reviewed content and evidence. Content changes require a new review. Unsupported claims, invented outcomes, and causal ranking claims remain prohibited.

The author cannot review or approve their own article. The reviewer and the approving editor must be the same authorized person, and that person must not be the author. Unknown identities, a missing reviewer, missing approval, or a missing review date all block publication. Article-level approval does not substitute for claim-level verification: an important claim is verified only after an independent reviewer, a review date, a supporting source, and a same-paragraph citation are recorded. Registering a reviewer does not mean they have reviewed a specific draft.

Research & Insights covers Virginia and Northern Virginia SEO, AI search visibility, local-business Google Ads, and website strategy, technical SEO, and conversion. We publish when an article has a named author, a completed research packet, evidence-reviewed important claims, and either independent human approval or the documented AI review described above for an approved asset. We do not publish to meet a calendar quota, to simulate freshness, or to multiply near-duplicate pages across cities or industries.

Quantitative, historical, algorithmic, legal, platform, and case-study claims are recorded in a claim ledger with supporting sources. Public case studies may be analyzed and must be attributed to their original publishers. Another company's results are never presented as NV Digital's work. Placeholder citations, fabricated statistics, invented testimonials, and fake quotations are not allowed.

We do not invent first-hand experience, client counts, revenue figures, awards, or outcomes. If a recommendation comes from NV Digital's service work, it is described in those terms. If it comes from a third-party source, the source is named.

Publication dates and meaningful update dates are recorded. Material corrections are dated. Dates are not changed automatically to make an unchanged article look new.

Articles may include a small number of contextual links to NV Digital service, location, or research pages when those links help the reader act on the analysis. Links are not added to meet a count, force exact-match anchors, or pass PageRank through stacked links.

Editorial decisions are informed by Google's public guidance on helpful content, spam policies, generative-AI content, and crawlable links. Those documents are references, not copy we reproduce here.

• Google guidance on generative AI content
• Google guidance on creating helpful content
• Google search spam policies
• Google guidance on crawlable links