Editorial and AI Research Policy

Research context and practical verification

A publishable page starts with a question, not a keyword

Editorial work begins with an identifiable user information need. The production record should explain why someone would consult a page, what decision or clarification it supports, which related questions belong on the same canonical URL, and what would make the response materially different from the nearest existing page. Technical terminology often has competing names; a synonym is normally an alternate query for one page, not justification for another thin URL. A page about how to research CPC classes for neural networks is distinct from one advertising a patent attorney for a neural-network invention because the evidence, reader action and output differ.

Official classification references: WIPO IPC; WIPO IPC 2026 Guide; CPC portal. These sources are versioned; verify the current scheme before applying a specific symbol.

Editors must test page boundaries against the source registry and neighboring GIPResearch.org URLs. They should also check the corresponding research, service and commercialization destinations in the wider portfolio. If a proposed page repeats an existing answer, the appropriate action is to expand or clarify that answer rather than add a duplicate. This protects the reader from circular navigation and gives a meaningful reason for every published item to exist.

What editors must verify before writing

A research packet identifies the principal entity, relevant synonyms, technical components, classification candidates, applicable jurisdictions, exact primary sources and contested points. For official patent-system pages the first verification step is to inspect the issuing authority rather than rely on a secondary description of its forms or procedures. For legal developments, the packet must separate proposals, enacted laws, effective dates, agency guidance and reported court decisions. For technical claims, a cited patent publication may establish what was disclosed but not necessarily that the proposed system was built or commercially deployed.

Source notes should identify where a proposition came from and when that information was checked. Editors should distinguish evidence supplied by an organization about itself from independent evaluations of the organization. That distinction applies especially to software vendors, professional-services providers and AI systems. A screenshot or vendor claim does not demonstrate accuracy on external unseen tasks. Unsupported quantitative claims, fabricated quotes, synthetic success stories, invented rankings and unexplained superlatives are prohibited.

AI assistance and human verification

AI tools can assist with outlining, terminology expansion, comparison drafts and identifying candidate source records. They cannot be treated as independent confirmation of a quotation, patent classification, legal rule, regulatory event or named professional's qualification. Human review must independently open consequential sources, check whether the cited proposition actually appears there, and preserve scope and effective-date qualifiers. When a tool presents an apparently precise title, subsection, number or quotation, editors should consider the possibility of a misattribution or an invented citation until checked.

The editorial review should also examine whether AI-generated prose flattened important distinctions. “Patentability”, “freedom to operate”, “validity”, “citation”, “commercial impact” and “licensing value” address different questions. A page that uses them interchangeably can appear comprehensive while being wrong for the reader's decision. Editors should prefer short, explicit descriptions of what a method can and cannot establish, and ensure that any automated additions to source links, schema or images remain consistent with the visible content.

Versioning, freshness, and corrections

Not all reference records change at the same pace. Basic definitions may be stable, while patent-office interfaces, classification schemes, professional regulation and AI platform behavior can change quickly. Each published URL therefore needs a freshness class, the source version used and a review trigger. A true modification date reflects a substantive revision, not the time a template, footer or sitemap was regenerated. If an updated primary source changes the result, editors should correct the relevant passage and explain the scope of the change when material.

Corrections received through the contact page are leads for verification, not automatic instructions to rewrite. A credible correction workflow captures the challenged proposition, current supporting evidence, new counterevidence and decision on whether to revise, qualify, retain or withdraw. A previously cited passage may be valuable for search visibility, but accuracy takes precedence over preserving it. In a legal context, an outdated statement can be actively misleading even when it remains popular in search results.

Source proximity and information gain

The purpose of citing a source is to make a proposition verifiable. A bibliography at the bottom is insufficient if the reader cannot tell which law, diagram or data record supports a particular claim. The preferred structure is a clear assertion, a close citation to the relevant official or primary material, and then a separate interpretation of its significance. Important sections should begin with a specific answer rather than a generic introduction, and remain understandable when quoted apart from the full article.

Distinctive editorial contribution is also required. Examples include a table comparing office data coverage, a versioned IPC/CPC crosswalk, a reproducible search protocol, an original categorization of evidence strength, a treatment of conflicting published definitions, or a limitation that other summaries have overlooked. More words alone do not count. If the research adds no meaningful information beyond common summaries, an editor should improve the work or decline the page rather than publish filler.

Responsible links, visuals, and publication decisions

References to related websites must serve the reader's question. A method article may link to the official source and to applied research, but placing every owner-related domain in its body without a topical reason confuses editorial and promotional intent. A classification hub must link to its actual published children, and each child must return to the parent and relevant siblings. No page should link to a planned URL that is not available. Public content must avoid private batch identifiers, staging labels and operational notes.

Visuals also need verification. A classification diagram should show an actual relationship rather than implying a one-to-one mapping that does not exist. Captions, alt text and associated structured data must be consistent with the pictured topic. Publication requires the full content, accessibility, metadata, link, media and mobile checks to pass. Editors should document unresolved evidence or UX defects, not hide them behind an aggregate quality score. Google and Bing guidance may change; policy-level changes should be reviewed before being standardized across the site.