EntityLab.
Investigate an entity through observable digital evidence: visible Knowledge Graph output, citation context, product and service category associations, related-search neighborhoods and — when supplied — the canonical domain’s ranked category footprint.
Entity evidence is layered.Keep every source distinct.
Knowledge Graph output, citation evidence, category associations and related searches are separate datasets. Entity Lab combines them only after their provenance is preserved.
When Google exposes a panel.Record what is actually visible.
A captured result may contain a structured identity panel with a title, subtitle, description, reference URL, observed position and additional attributes. Each field is recorded separately.
Awaiting Knowledge Graph capture
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The structured Knowledge Graph description will appear here if the live SERP returns the element.
Do not invent relationships.Map observed evidence layers.
The graph is a TAO analytical representation. A line means the signals were observed in the same research capture — not that a hidden search-engine entity edge has been proven.
Entity label versus domain footprint.Compare, do not merge.
Categories for Keywords classifies the entity search label. Categories for Domain reflects categories containing keywords the supplied domain ranks for. They are distinct signals.
Where is the entity cited?Inspect page and semantic context.
Citation records connect the observed URL and domain with page type, category and content-level context such as title, semantic location, quality signal, country and language.
| # | DOMAIN | PAGE / TITLE | PAGE TYPE | TEXT CATEGORY | SEMANTIC LOCATION | QUALITY | COUNTRY | LANGUAGE |
|---|---|---|---|---|---|---|---|---|
NO CITATION CAPTURE | ||||||||
The entity label lives in search context.Related searches are query evidence.
Related Keywords follows Google’s “Searches related to” relationships. It is useful search context, but not proof of an internal entity relationship.
| # | RELATED QUERY | VOLUME | CPC | COMPETITION | INTENT | KD | CATEGORIES |
|---|---|---|---|---|---|---|---|
NO RELATED-QUERY CAPTURE | |||||||
Observable first.Interpretation comes after the evidence.
Identity, citations, categories and search context remain separate research dimensions so the interface stays explainable and reproducible.
Structured SERP fields when Google returns a Knowledge Graph element.
Top domains, page types, categories and content-level citation context.
Observed product and service category associations for the entity label and supplied domain.
Observed “Searches related to” expansion around the entity label.
Six evidence channels.One normalized entity record.
Entity Lab keeps visible identity fields, citations, classifications and related-query context in separate channels. Only comparable observations enter the assembled record, and every signal retains its scope and origin.
ENTITY LABEL → IDENTITY PANEL → OBSERVED FIELDSRecord the title, type, description, reference URL, visible position and additional attributes when an identity panel appears.
ENTITY LABEL → REFERENCING PAGES → CONTEXTPreserve individual citation URLs, domains, page types, categories and the semantic location of each reference.
RECORDS → DOMAINS → CONTEXT DISTRIBUTIONSAggregate citation volume, recurring domains, page types, categories, countries and languages without erasing the underlying records.
ENTITY LABEL → CATEGORY ASSOCIATIONSClassify the searched entity label while keeping query-level categories distinct from the domain’s wider footprint.
CANONICAL DOMAIN → RANKED FOOTPRINT → CATEGORIESUse the optional domain to observe category associations across its ranked query territory.
ENTITY LABEL → RELATED SEARCHES → NEIGHBORHOODExpand the visible query neighborhood without treating related searches as proof of a hidden entity relationship.
Knowledge Graph evidence is one layer of the entity record.
A Knowledge Graph panel is an observable SERP feature, while citation context, category associations and related searches are separate evidence layers. Entity Lab keeps those layers distinct and uses them to build an explicit TAO research record rather than collapsing them into a single opaque score.
Twelve laboratories.One research system.
SERP Lab
Live SERP, AI Overview, PAA and related-search evidence.
Domain Lab
Domain visibility, ranked keywords, top pages and competitors.
Keyword Lab
Demand, intent, suggestions, related searches and keyword expansion.
Competitor Lab
Shared keywords, intersections, competing pages and gap zones.
AI Visibility Lab
AI mentions, sources, cited pages and query-level visibility.
Entity Lab
Knowledge Graph evidence, citations, categories and related-search context.
Search Intent Lab
Intent classification, SERP composition and alignment.
Internal Linking Lab
Internal graph, crawl depth, anchors and orphan patterns.
Topical Map Lab
Topic nodes, semantic neighborhoods and coverage architecture.
Content Gap Lab
Missing queries, subjects and competitive coverage gaps.
Backlink Lab
Referring domains, citations and external link structure.
Retrieval Lab
Retrieval, grounding, sources and RAG-oriented evidence.