{ "model": { "rank": 4036, "code": "thing-q180711", "model_id": "vr.tr.search-engine-optimization", "name": "search engine optimization", "purpose": "Enable an AI agent to recognise, assess and improve search engine optimization work by connecting organic search objectives, site conditions, proposed changes and observed outcomes.", "family": "Thing Registry", "category": "Activities and processes", "status": "research-draft", "kind": "thing", "plane": "ACT", "domain": "ACT.ACT", "industry": "", "version": "", "url": "/models/thing/q180711/", "tier": 2, "score": 79, "payload": { "layer": "wikidata", "aliases": [ "keyword stuffing", "Core Web Vitals", "duplicate content", "generative engine optimization", "white hat SEO", "answer engine optimization" ], "aliasCount": 6, "merged": 6, "knownIn": 79, "facets": null, "markers": [], "lexicalClass": "", "senseRank": null, "alsoRegisteredAs": null, "source": { "dataset": "wikidata", "item": "Q180711", "url": "https://www.wikidata.org/wiki/Q180711", "license": "CC0 1.0" } }, "research": { "vercy": "1.0-draft", "publication": { "status": "research-draft", "adjudicationStatus": "unreviewed", "publishableCanonical": false, "generatedAt": "2026-09-09T19:20:33Z", "providers": [ "Codex" ], "breadth": "recalled by Codex without web access - no source was read", "missingProviders": [], "pass": 2, "cost": { "grok": { "seconds": 27.9, "error": "Reading additional input from stdin...\nOpenAI Codex v0.153.4\n--------\nworkdir: R:\\02_PROJECTS\\02_Meta_Models_Platforms\\Ver.cy\\current\\thing-registry-backlog\nmodel: gpt-6-astra\nprovider: openai\napproval: never\nsandbox: read-only\nreasoning effort: none\nreasoning summaries: none\nsession id: 01a0879c-38bc-78b3-9080-1f5c869f6696\n--------\nuser\nDescribe what is already known about one registered thing. Answer as JSON only, no prose around it.\n\nThing: search engine optimization\nSense to describe: (none recorded)\nDomain code: ACT.ACT\nAlso known as: (none)\n\n\nContext for this batch of 695 things:\n# Batch", "usd": 0, "recall": true }, "codex": { "seconds": 76.3, "error": "Reading additional input from stdin...\nOpenAI Codex v0.153.4\n--------\nworkdir: R:\\02_PROJECTS\\02_Meta_Models_Platforms\\Ver.cy\\current\\thing-registry-backlog\nmodel: gpt-6-astra\nprovider: openai\napproval: never\nsandbox: read-only\nreasoning effort: none\nreasoning summaries: none\nsession id: 01a0879c-38ca-7401-9dbf-759084dfaeb5\n--------\nuser\nYou are drafting a Vercy meta-model for one registered thing. Answer as JSON only, no prose around it.\n\nThing: search engine optimization\nRegistry id: vr.tr.search-engine-optimization\nPlane / domain: ACT / ACT.ACT\nRegistry definition: (none recorded)\nNames fol" } } }, "metaModel": { "id": "THING-Q180711", "registryId": "vr.tr.search-engine-optimization", "name": "search engine optimization", "version": "0.1.0-research.1", "entryKind": "thing", "family": "Thing Registry", "domain": [ "ACT.ACT" ], "status": "research-draft" }, "canonicalUrl": "https://ver.cy/models/thing/q180711/", "model": { "registry_id": "vr.tr.search-engine-optimization", "name": "search engine optimization", "purpose": "Enable an AI agent to recognise, assess and improve search engine optimization work by connecting organic search objectives, site conditions, proposed changes and observed outcomes.", "definition": "Search engine optimization (SEO) is the practice of improving a website's or other online content's accessibility to search engines, relevance to queries, and presentation in unpaid search results to attract relevant users.", "scope_statement": "This model owns search engine optimization as an intentional activity applied to a defined web presence to improve its discoverability, representation and useful participation in unpaid search results; it records objectives, diagnostic evidence, interventions and uncertainty without treating ranking outcomes as guaranteed.", "in_scope": [ "Target search engines, search surfaces, audiences, queries and organic search objectives", "Discovery, crawling, rendering, indexing and canonical selection affecting the target web presence", "Content relevance, search intent alignment and search-result representation", "Internal linking, external references and site organization as subjects of SEO diagnosis", "SEO change prioritization, implementation constraints and search-policy compatibility", "Organic search measurement, experiments and attribution limits" ], "out_of_scope": [ "Paid search advertising, bidding and advertising account management", "General website engineering except where a condition or change has a stated SEO consequence", "Brand strategy and public relations beyond their specific relationship to organic discovery", "Conversion optimization after arrival except as an outcome or constraint of SEO work", "Search engine construction, proprietary ranking algorithms and internal search infrastructure", "Optimization for standalone generative assistants without a defined connection to a search surface" ], "distinguishing_features": [ "The activity targets unpaid search discovery or representation rather than purchasing search-result placement.", "A proposed change identifies a search-related mechanism, such as improving crawl access or aligning a page with an intended query, rather than asserting that every website improvement is SEO.", "The activity connects a controlled web resource to an external search engine whose indexing and ranking decisions the operator cannot guarantee.", "Assessment distinguishes discovery, crawling, indexing, appearance, visits and downstream outcomes rather than treating them as one visibility measure.", "The model covers the optimization activity and its decisions, rather than the search engine itself or merely a report of ranking positions." ], "characteristics": [ { "name": "Target search context", "kind": "category", "unit_or_values": "Named engine and surface, country or region, language, device category and observation period", "why_it_matters": "Defines where an optimization objective and its supporting observations apply." }, { "name": "Optimization target", "kind": "relation", "unit_or_values": "Activity linked to a site, host, directory, template, URL group or individual URL", "why_it_matters": "Makes the affected resources and the extent of implementation authority explicit." }, { "name": "Organic search objective", "kind": "category", "unit_or_values": "Qualified discovery, accurate representation, relevant visits or a specified downstream outcome", "why_it_matters": "Prevents a convenient proxy such as rank or traffic from silently replacing the actual objective." }, { "name": "Intended index status", "kind": "state", "unit_or_values": "Intended indexed, intentionally excluded, conditional or undecided", "why_it_matters": "An excluded page is only a problem when exclusion conflicts with its intended role." }, { "name": "Observed search processing state", "kind": "state", "unit_or_values": "Discovery, crawl, render, index and selected-canonical observations, each with timestamp and unknown permitted", "why_it_matters": "Locates the evidenced obstacle without inferring later processing stages from earlier ones." }, { "name": "Query-to-page alignment", "kind": "relation", "unit_or_values": "Query or intent group linked to intended landing pages, audience needs and supporting evidence", "why_it_matters": "Supports decisions about page purpose, missing coverage and potentially competing pages." }, { "name": "Organic result performance", "kind": "measurement", "unit_or_values": "Impressions, clicks, click-through rate in percent and source-defined position metrics, segmented by search context", "why_it_matters": "Makes visibility and response measurable while retaining the definitions and limitations of each data source." }, { "name": "Organic visit outcomes", "kind": "measurement", "unit_or_values": "Qualified visits, defined event counts, conversion rate in percent or attributed value in a named currency and period", "why_it_matters": "Connects search activity to user or organizational value while exposing attribution assumptions." }, { "name": "Intervention evidence status", "kind": "state", "unit_or_values": "Proposed, supported by diagnosis, implemented, awaiting observation, supported by outcome evidence, inconclusive or contradicted", "why_it_matters": "Separates implementation completion from demonstrated effectiveness." }, { "name": "Search-policy assessment", "kind": "state", "unit_or_values": "Not assessed, compatible with cited policy, uncertain or conflicting; engine and policy date required", "why_it_matters": "Makes policy judgments traceable to a particular search provider and version of its guidance." } ], "affordances": [ "Diagnose where intended pages fail between discovery and useful organic visits.", "Map audience needs and query groups to landing pages and identify coverage gaps or conflicting page purposes.", "Prioritize technical, content and linking changes using evidence, expected benefit, effort and uncertainty.", "Check intended indexation, canonical relationships and search-result representation before and after a change.", "Design monitoring or experiments that distinguish observed movement from evidence of an intervention effect.", "Recommend continuing, revising or rolling back an SEO intervention using predefined outcome and risk criteria." ] }, "sources": [], "structure": { "bundles": [ { "id": "search-objectives-and-demand", "name": "Search objectives and demand", "description": "Defines whose searches the activity serves, where those searches occur and what successful discovery should achieve.", "rationale": "SEO decisions require a bounded search context and a useful outcome before visibility can be judged.", "layers": [ { "id": "organic-search-boundary", "name": "Organic search boundary", "description": "Separates the targeted unpaid search activity from adjacent acquisition work.", "findings": [ { "id": "target-surface-and-objective", "name": "Target surface and objective", "description": "Records the engines, result surfaces, resource boundaries and outcomes the activity intends to affect.", "questions": [ { "text": "Which unpaid search surfaces, markets and web resources does this SEO activity target?", "kind": "boundary", "id": "target-surface-and-objective-q01" }, { "text": "What user or organizational outcome would make improved visibility valuable?", "kind": "definition", "id": "target-surface-and-objective-q02" } ] } ] }, { "id": "query-intent-and-page-purpose", "name": "Query intent and page purpose", "description": "Connects search needs with the pages intended to satisfy them.", "findings": [ { "id": "supported-demand-map", "name": "Supported demand map", "description": "Records query groups, interpretations of intent, intended landing pages and the provenance of demand estimates.", "questions": [ { "text": "Which audience need and query group should each target page satisfy?", "kind": "definition", "id": "supported-demand-map-q01" }, { "text": "Which search observations, customer evidence or estimation method support that mapping, and for which market and period?", "kind": "provenance", "id": "supported-demand-map-q02" } ] } ] } ] }, { "id": "crawl-render-and-index-control", "name": "Crawl, render and index control", "description": "Examines whether search engines can process the intended resources and how indexing intentions compare with observations.", "rationale": "Content improvements cannot be assessed adequately when access, rendering or index selection remains unresolved.", "layers": [ { "id": "discovery-and-processing", "name": "Discovery and processing", "description": "Tracks access paths and processing evidence for target URLs.", "findings": [ { "id": "url-processing-evidence", "name": "URL processing evidence", "description": "Records discovery routes, crawl responses, access restrictions and rendered content using dated observations.", "questions": [ { "text": "Can the relevant crawler discover and retrieve each target URL through links or submitted discovery resources?", "kind": "measurement", "id": "url-processing-evidence-q01" }, { "text": "What evidence shows whether the engine can render the page's essential content and links?", "kind": "provenance", "id": "url-processing-evidence-q02" } ] } ] }, { "id": "indexation-and-canonical-intent", "name": "Indexation and canonical intent", "description": "Compares desired inclusion and URL identity with engine observations.", "findings": [ { "id": "index-selection-consistency", "name": "Index selection consistency", "description": "Records intended exclusions, duplicate relationships, canonical declarations and observed canonical selection separately.", "questions": [ { "text": "Which URLs should be indexed, excluded or consolidated, and what page purpose justifies each choice?", "kind": "boundary", "id": "index-selection-consistency-q01" }, { "text": "Where do observed indexing or canonical choices differ from those intentions, and which directive, redirect or link inconsistency should be investigated?", "kind": "action", "id": "index-selection-consistency-q02" } ] } ] } ] }, { "id": "content-and-result-representation", "name": "Content and result representation", "description": "Assesses whether landing pages meet their intended search needs and are represented appropriately in results.", "rationale": "An accessible page may still fail to answer the intended need or communicate its purpose in search results.", "layers": [ { "id": "landing-page-usefulness", "name": "Landing-page usefulness", "description": "Evaluates page substance against its intended audience and query context.", "findings": [ { "id": "intent-fulfillment-and-support", "name": "Intent fulfillment and support", "description": "Records how a page answers its target need, supports its claims and remains suitable for the subject.", "questions": [ { "text": "Can a visitor arriving for the target query complete the intended information or action task on this page?", "kind": "measurement", "id": "intent-fulfillment-and-support-q01" }, { "text": "Which missing explanations, unsupported claims or outdated details justify a content revision?", "kind": "action", "id": "intent-fulfillment-and-support-q02" } ] } ] }, { "id": "search-result-presentation", "name": "Search-result presentation", "description": "Tracks page-provided presentation inputs alongside observed search appearances.", "findings": [ { "id": "appearance-intent-and-observation", "name": "Appearance intent and observation", "description": "Separates supplied titles, descriptions and structured data from the presentation actually observed on the target engine.", "questions": [ { "text": "Do titles, descriptions and applicable structured data accurately describe the visible page content?", "kind": "measurement", "id": "appearance-intent-and-observation-q01" }, { "text": "How does the observed result appearance differ from the intended presentation for the recorded queries, devices and dates?", "kind": "measurement", "id": "appearance-intent-and-observation-q02" } ] } ] } ] }, { "id": "site-relationships-and-external-references", "name": "Site relationships and external references", "description": "Examines how pages are organized, connected and referenced within and outside the web presence.", "rationale": "SEO diagnosis needs page relationships and reference provenance without reducing them to an unexplained authority score.", "layers": [ { "id": "internal-navigation-and-page-roles", "name": "Internal navigation and page roles", "description": "Records internal discovery paths and distinctions between pages serving related needs.", "findings": [ { "id": "internal-link-and-coverage-map", "name": "Internal link and coverage map", "description": "Identifies orphaned targets, unclear navigation and overlapping page roles through a query-to-page and link map.", "questions": [ { "text": "Which important landing pages lack discoverable internal links or descriptive navigation context?", "kind": "measurement", "id": "internal-link-and-coverage-map-q01" }, { "text": "When several pages address the same query group, what evidence supports retaining, differentiating or consolidating them?", "kind": "action", "id": "internal-link-and-coverage-map-q02" } ] } ] }, { "id": "external-reference-provenance", "name": "External reference provenance", "description": "Records externally controlled references and the evidence behind claims about their significance.", "findings": [ { "id": "reference-context-and-acquisition", "name": "Reference context and acquisition", "description": "Captures linking-source context, acquisition methods and limitations of third-party link metrics.", "questions": [ { "text": "Which external references have been observed, in what context, and through which data source?", "kind": "provenance", "id": "reference-context-and-acquisition-q01" }, { "text": "What evidence and applicable engine policy support a proposed reference-acquisition or remediation action?", "kind": "action", "id": "reference-context-and-acquisition-q02" } ] } ] } ] }, { "id": "organic-performance-and-causal-evidence", "name": "Organic performance and causal evidence", "description": "Connects search exposure to useful outcomes while distinguishing correlation from intervention effects.", "rationale": "Search performance changes can reflect demand, competitors, measurement changes or engine behavior as well as SEO work.", "layers": [ { "id": "segmented-performance-baseline", "name": "Segmented performance baseline", "description": "Defines comparable visibility, visit and outcome measurements.", "findings": [ { "id": "metric-definitions-and-coverage", "name": "Metric definitions and coverage", "description": "Records metric definitions, data coverage and segments needed to interpret organic performance.", "questions": [ { "text": "What are the baseline impressions, clicks and useful outcomes for the target pages and search contexts over a stated period?", "kind": "measurement", "id": "metric-definitions-and-coverage-q01" }, { "text": "Which reporting omissions, aggregation rules or attribution choices limit comparisons between search and site analytics?", "kind": "boundary", "id": "metric-definitions-and-coverage-q02" } ] } ] }, { "id": "intervention-effect-assessment", "name": "Intervention effect assessment", "description": "Evaluates whether observed changes support the proposed mechanism of an SEO intervention.", "findings": [ { "id": "change-hypothesis-and-confounders", "name": "Change hypothesis and confounders", "description": "Links dated deployments to expected effects, comparison methods and alternative explanations.", "questions": [ { "text": "What mechanism, affected page group, expected outcome and observation window were specified for this change?", "kind": "definition", "id": "change-hypothesis-and-confounders-q01" }, { "text": "What comparison or experimental evidence distinguishes its effect from seasonality, demand shifts, concurrent deployments and search-engine changes?", "kind": "measurement", "id": "change-hypothesis-and-confounders-q02" } ] } ] } ] }, { "id": "intervention-governance-and-maintenance", "name": "Intervention governance and maintenance", "description": "Turns diagnosis into authorized, reviewable changes and continued monitoring.", "rationale": "An SEO model must support decisions about action, including changes that affect many URLs or conflict with other site requirements.", "layers": [ { "id": "prioritization-and-policy-fit", "name": "Prioritization and policy fit", "description": "Assesses proposed actions against evidence, implementation constraints and applicable search policies.", "findings": [ { "id": "justified-seo-action", "name": "Justified SEO action", "description": "Records the diagnosed issue, proposed remedy, expected benefit, uncertainty, ownership and policy basis.", "questions": [ { "text": "Which action has the strongest justification given affected pages, objective relevance, effort, dependencies and uncertainty?", "kind": "action", "id": "justified-seo-action-q01" }, { "text": "Which dated engine guidance supports the policy assessment, and who can authorize and implement the change?", "kind": "provenance", "id": "justified-seo-action-q02" } ] } ] }, { "id": "release-and-regression-control", "name": "Release and regression control", "description": "Protects intended search behavior during deployments, migrations and ongoing site changes.", "findings": [ { "id": "seo-release-acceptance", "name": "SEO release acceptance", "description": "Defines checks and response criteria for redirects, directives, canonical relationships, content availability and observed performance.", "questions": [ { "text": "Which pre-release and post-release observations will verify that the intended URLs, content, links and index controls behave as planned?", "kind": "measurement", "id": "seo-release-acceptance-q01" }, { "text": "What evidence should trigger investigation, revision or rollback, and who owns that response?", "kind": "action", "id": "seo-release-acceptance-q02" } ] } ] } ] }, { "id": "evidence-and-external-alignment", "name": "Evidence and external alignment", "description": "What the world already says about this thing, gathered so the model can be checked against it.", "rationale": "A model that cannot be lined up against existing standards, identifiers and practice cannot be adopted by anyone who already uses them.", "layers": [ { "id": "reported-evidence", "name": "Reported evidence", "description": "Findings from the breadth pass, kept separate from the structural claims.", "findings": [ { "id": "evidence-confidence-notes", "name": "Check these first", "description": "Recalled without web access and unsourced; every item is a lead to verify.", "evidence": [ "This describes SEO as an activity; its named varieties overlap and do not form a standardized classification.", "Search engine guidelines are provider policies, not universal SEO standards; their current wording and applicability require verification.", "No universal performance benchmarks or guaranteed ranking effects are asserted; attribution must account for demand, competition, personalization, and search engine changes." ], "questions": [ { "id": "evidence-confidence-notes-q01", "text": "Which of these check these first hold for the sense of search engine optimization this model covers, and on what evidence?", "kind": "provenance" } ] }, { "id": "evidence-kinds", "name": "Kinds and varieties", "description": "Recalled without web access and unsourced; every item is a lead to verify.", "evidence": [ "Technical SEO", "On-page SEO", "Off-page SEO", "Local SEO", "International SEO", "E-commerce SEO" ], "questions": [ { "id": "evidence-kinds-q01", "text": "Which of these kinds and varieties hold for the sense of search engine optimization this model covers, and on what evidence?", "kind": "provenance" } ] }, { "id": "evidence-standards-and-regulation", "name": "Standards and regulation", "description": "Recalled without web access and unsourced; every item is a lead to verify.", "evidence": [ "IETF RFC 9309 specifies the Robots Exclusion Protocol for communicating crawler access preferences; it is not an access-control mechanism.", "Google Search Essentials describes Google's technical requirements, spam policies, and recommended practices for eligibility and performance in Google Search.", "Bing Webmaster Guidelines describe practices and restrictions relevant to inclusion and visibility in Bing search results." ], "questions": [ { "id": "evidence-standards-and-regulation-q01", "text": "Which of these standards and regulation hold for the sense of search engine optimization this model covers, and on what evidence?", "kind": "provenance" } ] }, { "id": "evidence-real-world-use", "name": "Real-world use", "description": "Recalled without web access and unsourced; every item is a lead to verify.", "evidence": [ "Helping search engines discover, crawl, and index intended public pages.", "Aligning useful content with the language and needs expressed in search queries.", "Consolidating duplicate URLs and managing migrations to preserve discoverability.", "Improving the visibility of businesses for searches with local intent.", "Attracting relevant unpaid search visits that support sales, enquiries, readership, or public access to information." ], "questions": [ { "id": "evidence-real-world-use-q01", "text": "Which of these real-world use hold for the sense of search engine optimization this model covers, and on what evidence?", "kind": "provenance" } ] }, { "id": "evidence-measurements", "name": "Typical measurements", "description": "Recalled without web access and unsourced; every item is a lead to verify.", "evidence": [ { "quantity": "Organic search impressions", "typical_range": "Nonnegative count; strongly dependent on site, queries, search engine, and reporting period.", "unit": "impressions per reporting period" }, { "quantity": "Organic search click-through rate", "typical_range": "0-100%; comparisons require similar query intent, position, device, and result presentation.", "unit": "%" }, { "quantity": "Search result position", "typical_range": "Positions conventionally begin at 1; reported averages depend on the measurement system.", "unit": "rank position" }, { "quantity": "Conversion rate attributed to organic search visits", "typical_range": "0-100% when defined as the percentage of visits with at least one specified conversion.", "unit": "%" } ], "questions": [ { "id": "evidence-measurements-q01", "text": "Which of these typical measurements hold for the sense of search engine optimization this model covers, and on what evidence?", "kind": "provenance" } ] }, { "id": "evidence-failure-modes-and-hazards", "name": "Failure modes and hazards", "description": "Recalled without web access and unsourced; every item is a lead to verify.", "evidence": [ "Accidental blocking, noindex directives, or incorrect canonicalization can prevent intended pages from appearing in search.", "Manipulative links, keyword stuffing, cloaking, and other spam practices can cause ranking losses or exclusion.", "Duplicate, low-value, or poorly organized content can obstruct discovery and reduce usefulness.", "Site migrations and URL changes can lose visibility when redirects and internal references are mishandled.", "Optimizing rankings or traffic without evaluating relevance and outcomes can reward misleading content and waste effort." ], "questions": [ { "id": "evidence-failure-modes-and-hazards-q01", "text": "Which of these failure modes and hazards hold for the sense of search engine optimization this model covers, and on what evidence?", "kind": "provenance" } ] }, { "id": "evidence-regional-variation", "name": "Regional variation", "description": "Recalled without web access and unsourced; every item is a lead to verify.", "evidence": [ "Search engine usage differs across markets, changing which engine's crawling behavior, policies, and tools matter most.", "Language, script, terminology, and local search intent require market-specific content and targeting.", "Local search features and business-listing availability differ by country and search engine." ], "questions": [ { "id": "evidence-regional-variation-q01", "text": "Which of these regional variation hold for the sense of search engine optimization this model covers, and on what evidence?", "kind": "provenance" } ] }, { "id": "evidence-neighbours", "name": "Neighbouring kinds and how to tell them apart", "description": "Recalled without web access and unsourced; every item is a lead to verify.", "evidence": [ { "name": "Paid search advertising", "difference": "Paid search purchases advertising placements; SEO targets unpaid search visibility." }, { "name": "Search engine marketing", "difference": "The term may encompass SEO and paid search, but is also used narrowly for paid search; its scope must be stated." }, { "name": "Information retrieval", "difference": "Information retrieval studies and builds systems for finding relevant information; SEO adapts published content and websites to discovery through those systems." }, { "name": "Content marketing", "difference": "Content marketing uses content to attract and retain audiences across channels; SEO specifically concerns visibility through unpaid search." }, { "name": "Conversion rate optimization", "difference": "Conversion rate optimization improves the likelihood that visitors complete intended actions; SEO primarily concerns discovery and acquisition through search." }, { "name": "Web accessibility", "difference": "Web accessibility enables people with disabilities to use web content; overlap with machine-readable structure does not make it equivalent to SEO." } ], "questions": [ { "id": "evidence-neighbours-q01", "text": "Which of these neighbouring kinds and how to tell them apart hold for the sense of search engine optimization this model covers, and on what evidence?", "kind": "provenance" } ] } ] } ] } ] }, "openQuestions": [ "Does an existing Vercy world model already cover this SEO activity, requiring the registry entry to link to it rather than receive a separate publication?", "Which search engines and surfaces should the researched model cover, and where do local, product, image, video or AI-mediated search require additional specialized layers?", "How do authoritative sources and practitioner schools differ on the boundaries of SEO, particularly external promotion, user experience and content strategy?", "Which diagnostic criteria and intervention claims can be supported by current primary sources, and which remain practitioner hypotheses or engine-specific observations?", "What observation windows and comparison methods provide adequate evidence for different intervention types when traffic is sparse or multiple site changes overlap?" ], "statistics": { "bundles": 7, "layers": 13, "findings": 20, "questions": 32 } }, "draft": { "generator": "vr.draft.v3", "status": "draft-generated", "researched": false, "archetype": "abstract concept", "method": "Written from the archetype playbook - what this kind of thing needs beyond identity and provenance - and from the structure that recurred across 6,333 models already researched by two engines. Applied to this entry by rule. No source was read for this thing and no claim here is researched. This entry carries no facets of its own, so they were inferred from its domain - a guess about a whole domain applied to one thing.", "facetsInferred": true, "nextPass": "A researcher replaces this draft with a sourced specification. Treat every sentence below as a proposal to argue with.", "purpose": "Give an agent a durable, checkable way to recognise a search engine optimization, record what state it is in, and decide what may be done with it.", "whatItIs": "Enable an AI agent to recognise, assess and improve search engine optimization work by connecting organic search objectives, site conditions, proposed changes and observed outcomes.", "characteristics": { "substance": "activity", "origin": "conceptual", "agency": "inert" }, "whatYouCanDoWithIt": [ "observed and measured" ], "distinguishingFeatures": [ "Names folded into this entry, which a task may need to split apart again: keyword stuffing, Core Web Vitals, duplicate content, generative engine optimization, white hat SEO, answer engine optimization.", "6 finer distinctions are held as aliases rather than separate entries, because telling them apart needs a task that asks for it.", "Described in 79 Wikipedia languages, which is a measure of how widely the thing is known, not of how important it is." ], "openQuestionsForResearch": [ "Which of the bundles below does a real task actually need, and which are ceremony?", "What does this thing have that the facets do not capture at all?", "Which neighbouring kind is most often confused with a search engine optimization, and on what evidence are they told apart?" ], "whatItIsMadeOf": "something that happens over time", "physicalCharacter": [ "Does nothing on its own; everything it does, something else did to it.", "These come from the domain this entry sits in rather than from the entry itself, so treat them as a first guess about the whole domain applied to one thing." ], "whatCanBeDoneWithIt": [ "observe it, measure it, record its state" ], "howItIsRecognised": [ "Nothing to see. What is recognised is an instance of it, and which instances count is exactly what is argued about." ], "relatedModels": [ { "relation": "covers", "note": "Finer kinds folded into this entry because telling them apart needs a task that asks for it. Each is a model waiting to be split out when one does.", "targets": [ "keyword stuffing", "Core Web Vitals", "duplicate content", "generative engine optimization", "white hat SEO", "answer engine optimization" ] } ], "standing": "Described in 79 Wikipedia languages, which measures how widely it is written about rather than how important or how common it is. 6 finer distinctions are held inside this entry as names rather than as separate models.", "structure": { "bundles": [ { "id": "identity-and-classification", "name": "Identity, naming and classification", "description": "How an agent tells one search engine optimization from another, and a search engine optimization from things that resemble it.", "rationale": "Recognition comes before every other claim. Without stable identity nothing else in the model can be trusted to be about the same thing twice.", "layers": [ { "id": "naming-and-identifiers", "name": "Names and identifiers", "description": "The names this thing goes by and the identifiers that survive translation and time.", "findings": [ { "id": "preferred-name-and-aliases", "name": "Preferred name, aliases and local names", "description": "Which name to use, which names mean the same thing, and which merely sound similar.", "questions": [ { "id": "preferred-name-and-aliases-q01", "text": "What identifies and describes the name of a search engine optimization, and in what units or vocabulary?", "kind": "definition", "answer_data": [ "identifiers", "types and classes", "values with units", "explicit unknowns" ] }, { "id": "preferred-name-and-aliases-q02", "text": "Who or what asserted this about the name of a search engine optimization, by which method, and when was it true?", "kind": "provenance", "answer_data": [ "authority", "method", "evidence", "event time", "knowledge time" ] }, { "id": "preferred-name-and-aliases-q03", "text": "What may an agent decide or do once the name of a search engine optimization is known, and what must it refuse?", "kind": "action", "answer_data": [ "permitted actions", "preconditions", "refusals", "escalation" ] } ] }, { "id": "stable-identifiers", "name": "Stable identifiers and external keys", "description": "Identifiers that keep pointing at this kind of thing across systems and languages.", "questions": [ { "id": "stable-identifiers-q01", "text": "What identifies and describes an identifier for a search engine optimization, and in what units or vocabulary?", "kind": "definition", "answer_data": [ "identifiers", "types and classes", "values with units", "explicit unknowns" ] }, { "id": "stable-identifiers-q02", "text": "Who or what asserted this about an identifier for a search engine optimization, by which method, and when was it true?", "kind": "provenance", "answer_data": [ "authority", "method", "evidence", "event time", "knowledge time" ] }, { "id": "stable-identifiers-q03", "text": "What may an agent decide or do once an identifier for a search engine optimization is known, and what must it refuse?", "kind": "action", "answer_data": [ "permitted actions", "preconditions", "refusals", "escalation" ] } ] } ] }, { "id": "classification-and-granularity", "name": "Classification and granularity", "description": "Where a search engine optimization sits among kinds, and how finely a task needs to cut it.", "findings": [ { "id": "kind-and-parents", "name": "Kind, parents and neighbouring kinds", "description": "The classes this thing belongs to and the ones it is next to.", "questions": [ { "id": "kind-and-parents-q01", "text": "What identifies and describes the kind of a search engine optimization, and in what units or vocabulary?", "kind": "definition", "answer_data": [ "identifiers", "types and classes", "values with units", "explicit unknowns" ] }, { "id": "kind-and-parents-q02", "text": "Who or what asserted this about the kind of a search engine optimization, by which method, and when was it true?", "kind": "provenance", "answer_data": [ "authority", "method", "evidence", "event time", "knowledge time" ] }, { "id": "kind-and-parents-q03", "text": "What may an agent decide or do once the kind of a search engine optimization is known, and what must it refuse?", "kind": "action", "answer_data": [ "permitted actions", "preconditions", "refusals", "escalation" ] } ] }, { "id": "distinguishing-features", "name": "Distinguishing features", "description": "What separates a search engine optimization from the things most often confused with it.", "questions": [ { "id": "distinguishing-features-q01", "text": "What identifies and describes what distinguishes a search engine optimization, and in what units or vocabulary?", "kind": "definition", "answer_data": [ "identifiers", "types and classes", "values with units", "explicit unknowns" ] }, { "id": "distinguishing-features-q02", "text": "Who or what asserted this about what distinguishes a search engine optimization, by which method, and when was it true?", "kind": "provenance", "answer_data": [ "authority", "method", "evidence", "event time", "knowledge time" ] }, { "id": "distinguishing-features-q03", "text": "What may an agent decide or do once what distinguishes a search engine optimization is known, and what must it refuse?", "kind": "action", "answer_data": [ "permitted actions", "preconditions", "refusals", "escalation" ] } ] } ] } ] }, { "id": "state-and-lifecycle", "name": "State and lifecycle", "description": "The states a search engine optimization passes through and the events that move it between them.", "rationale": "Most decisions about a thing depend on what state it is in now, which is a claim with a time on it, not a property.", "layers": [ { "id": "lifecycle-stages", "name": "Lifecycle stages", "description": "From coming into existence to ceasing to be one of these.", "findings": [ { "id": "stages-and-transitions", "name": "Stages and transitions", "description": "The stages worth naming and what moves a search engine optimization between them.", "questions": [ { "id": "stages-and-transitions-q01", "text": "What identifies and describes the lifecycle of a search engine optimization, and in what units or vocabulary?", "kind": "definition", "answer_data": [ "identifiers", "types and classes", "values with units", "explicit unknowns" ] }, { "id": "stages-and-transitions-q02", "text": "Who or what asserted this about the lifecycle of a search engine optimization, by which method, and when was it true?", "kind": "provenance", "answer_data": [ "authority", "method", "evidence", "event time", "knowledge time" ] }, { "id": "stages-and-transitions-q03", "text": "What may an agent decide or do once the lifecycle of a search engine optimization is known, and what must it refuse?", "kind": "action", "answer_data": [ "permitted actions", "preconditions", "refusals", "escalation" ] } ] } ] }, { "id": "observations-and-status", "name": "Observations and current status", "description": "What is observed about a search engine optimization, how often and by whom.", "findings": [ { "id": "observation-record", "name": "Observation record", "description": "How an observation of a search engine optimization is recorded so that it can be superseded rather than overwritten.", "questions": [ { "id": "observation-record-q01", "text": "What identifies and describes an observation of a search engine optimization, and in what units or vocabulary?", "kind": "definition", "answer_data": [ "identifiers", "types and classes", "values with units", "explicit unknowns" ] }, { "id": "observation-record-q02", "text": "Who or what asserted this about an observation of a search engine optimization, by which method, and when was it true?", "kind": "provenance", "answer_data": [ "authority", "method", "evidence", "event time", "knowledge time" ] }, { "id": "observation-record-q03", "text": "What may an agent decide or do once an observation of a search engine optimization is known, and what must it refuse?", "kind": "action", "answer_data": [ "permitted actions", "preconditions", "refusals", "escalation" ] } ] } ] } ] }, { "id": "process-and-outcome", "name": "Process, inputs and outcome", "description": "How a search engine optimization proceeds, what it needs and what it leaves behind.", "rationale": "An activity is known by its steps and its results, and both have to be recordable while it is still running.", "layers": [ { "id": "steps-and-sequence", "name": "Steps and sequence", "description": "The steps of a search engine optimization, their order and what may run in parallel.", "findings": [ { "id": "steps-and-preconditions", "name": "Steps, preconditions and completion", "description": "What has to be true before each step of a search engine optimization and what marks it done.", "questions": [ { "id": "steps-and-preconditions-q01", "text": "What identifies and describes a step of a search engine optimization, and in what units or vocabulary?", "kind": "definition", "answer_data": [ "identifiers", "types and classes", "values with units", "explicit unknowns" ] }, { "id": "steps-and-preconditions-q02", "text": "Who or what asserted this about a step of a search engine optimization, by which method, and when was it true?", "kind": "provenance", "answer_data": [ "authority", "method", "evidence", "event time", "knowledge time" ] }, { "id": "steps-and-preconditions-q03", "text": "What may an agent decide or do once a step of a search engine optimization is known, and what must it refuse?", "kind": "action", "answer_data": [ "permitted actions", "preconditions", "refusals", "escalation" ] } ] } ] }, { "id": "inputs-and-results", "name": "Inputs, resources and results", "description": "What a search engine optimization consumes and what it produces.", "findings": [ { "id": "inputs-and-outputs", "name": "Inputs, outputs and side effects", "description": "The resources a search engine optimization takes and the results it leaves, wanted or not.", "questions": [ { "id": "inputs-and-outputs-q01", "text": "What identifies and describes the inputs and results of a search engine optimization, and in what units or vocabulary?", "kind": "definition", "answer_data": [ "identifiers", "types and classes", "values with units", "explicit unknowns" ] }, { "id": "inputs-and-outputs-q02", "text": "Who or what asserted this about the inputs and results of a search engine optimization, by which method, and when was it true?", "kind": "provenance", "answer_data": [ "authority", "method", "evidence", "event time", "knowledge time" ] }, { "id": "inputs-and-outputs-q03", "text": "What may an agent decide or do once the inputs and results of a search engine optimization is known, and what must it refuse?", "kind": "action", "answer_data": [ "permitted actions", "preconditions", "refusals", "escalation" ] } ] } ] } ] }, { "id": "definitions-in-contest", "name": "Definitions and who holds them", "description": "What search engine optimization is taken to mean, and by whom.", "rationale": "When a field disagrees about a concept, the disagreement is the content. A model that picks one definition silently destroys the information.", "layers": [ { "id": "competing-definitions", "name": "Competing definitions", "description": "The main readings and the traditions behind them.", "findings": [ { "id": "definition-map", "name": "Definitions and their holders", "description": "Each definition with the school or body that holds it.", "questions": [ { "id": "definition-map-q01", "text": "Which definitions of search engine optimization are in use, and which tradition or body holds each?", "kind": "definition" }, { "id": "definition-map-q02", "text": "What turns on the difference between them in practice?", "kind": "boundary" } ] } ] }, { "id": "operationalisation", "name": "Operationalisation", "description": "How it is measured or applied when it has to be.", "findings": [ { "id": "operational-record", "name": "Measures and proxies", "description": "Instruments and indicators used to stand in for it.", "questions": [ { "id": "operational-record-q01", "text": "How is search engine optimization operationalised or measured in practice, and by what instrument?", "kind": "measurement" }, { "id": "operational-record-q02", "text": "What does that operationalisation leave out, and when does that matter?", "kind": "boundary" } ] } ] } ] }, { "id": "instances-and-use", "name": "Instances, use and consequence", "description": "What counts as an instance of search engine optimization and what follows from calling something that.", "rationale": "Applying a concept is an act with consequences, so a model must say what the label licenses and what it does not.", "layers": [ { "id": "instances", "name": "What counts as an instance", "description": "Clear cases, borderline cases and non-cases.", "findings": [ { "id": "instance-tests", "name": "Tests for an instance", "description": "What would settle whether something falls under it.", "questions": [ { "id": "instance-tests-q01", "text": "What would settle whether something is an instance of search engine optimization?", "kind": "boundary" }, { "id": "instance-tests-q02", "text": "Which borderline cases are argued about, and on what grounds?", "kind": "definition" } ] } ] }, { "id": "consequence", "name": "Consequence of application", "description": "Rights, duties or decisions that follow from the label.", "findings": [ { "id": "consequence-record", "name": "What the label licenses", "description": "What an agent may do once something is classified this way.", "questions": [ { "id": "consequence-record-q01", "text": "What follows practically once something is treated as search engine optimization?", "kind": "action" }, { "id": "consequence-record-q02", "text": "What must an agent not infer from the label alone?", "kind": "action" } ] } ] } ] }, { "id": "provenance-and-evidence", "name": "Provenance, evidence and time", "description": "Where every claim about a search engine optimization came from and when it held.", "rationale": "A claim without a source and a time cannot be superseded, only overwritten, and an agent that overwrites loses the ability to explain itself.", "layers": [ { "id": "source-and-authority", "name": "Source and authority", "description": "Who said it, on what evidence, and how strongly.", "findings": [ { "id": "claim-provenance", "name": "Claim provenance and confidence", "description": "The authority behind each claim about a search engine optimization and how confident it is.", "questions": [ { "id": "claim-provenance-q01", "text": "What identifies and describes a claim about a search engine optimization, and in what units or vocabulary?", "kind": "definition", "answer_data": [ "identifiers", "types and classes", "values with units", "explicit unknowns" ] }, { "id": "claim-provenance-q02", "text": "Who or what asserted this about a claim about a search engine optimization, by which method, and when was it true?", "kind": "provenance", "answer_data": [ "authority", "method", "evidence", "event time", "knowledge time" ] }, { "id": "claim-provenance-q03", "text": "What may an agent decide or do once a claim about a search engine optimization is known, and what must it refuse?", "kind": "action", "answer_data": [ "permitted actions", "preconditions", "refusals", "escalation" ] } ] } ] }, { "id": "time-and-versions", "name": "Time, versions and supersession", "description": "When a claim was true, when it was learnt, and what replaced it.", "findings": [ { "id": "validity-and-supersession", "name": "Validity period and supersession", "description": "How an old claim about a search engine optimization is retired without being erased.", "questions": [ { "id": "validity-and-supersession-q01", "text": "What identifies and describes the validity of a claim about a search engine optimization, and in what units or vocabulary?", "kind": "definition", "answer_data": [ "identifiers", "types and classes", "values with units", "explicit unknowns" ] }, { "id": "validity-and-supersession-q02", "text": "Who or what asserted this about the validity of a claim about a search engine optimization, by which method, and when was it true?", "kind": "provenance", "answer_data": [ "authority", "method", "evidence", "event time", "knowledge time" ] }, { "id": "validity-and-supersession-q03", "text": "What may an agent decide or do once the validity of a claim about a search engine optimization is known, and what must it refuse?", "kind": "action", "answer_data": [ "permitted actions", "preconditions", "refusals", "escalation" ] } ] } ] } ] } ] }, "statistics": { "bundles": 6, "layers": 12, "findings": 14, "questions": 38 } } } }