AI SEO Wiki — a reference resource on AI search, answer engines, generative engines, entities, visibility, and optimization frameworks
A–ZAbout

Entity-First Indexing

From AI SEO Wiki
This article covers the AI-search term or framework. For the broader field, see AI SEO. For the academic optimization discipline introduced in 2023, see Generative Engine Optimization.
Entity-First Indexing
Abbreviation / aliasEntity-First Index
CategoryRetrieval / indexing concept
Introduced2018
Attributed toCindy Krum / MobileMoxie
entity home · about/bio
Attribution statusExplicit first-party terminology
Attribution confidenceHigh
Original sourcemobilemoxie.com
Related concepts
Fraggles
Entity Home
SEOntology
Reasoning Web

Entity-First Indexing (Entity-First Index) is a retrieval / indexing concept used in AI SEO. An entity-centric view of indexing in which entities/relationships are organizing primitives rather than URLs alone. The term or framework is attributed to Cindy Krum / MobileMoxie and is documented in 2018.[1]

AI SEO Wiki records the attribution as Explicit first-party terminology, with a confidence rating of High. This rating concerns the documentary evidence for the term's origin; it does not imply that the underlying idea is unique to one practitioner or that the terminology has become an industry standard.[2]

Definition

An entity-centric view of indexing in which entities/relationships are organizing primitives rather than URLs alone. In practical usage, the concept is most useful when its measurement unit, observation window, source set, or decision context is stated explicitly. This is particularly important in AI-mediated search, where answers can vary between models, prompts, retrieval systems, and repeated runs.

Origin and attribution

Entity-First Indexing is attributed in the available documentary record to Cindy Krum / MobileMoxie. The registry dates the term to 2018 and classifies the evidence as Explicit first-party terminology.[1]

Foundational pre-LLM concept with direct relevance to AI retrieval/entity understanding. This qualification is retained because AI-search terminology often spreads rapidly through conference talks, social posts, vendor material, and practitioner communities before a stable publication record exists.

An additional source provides independent or supporting evidence for the terminology or attribution.[2]

Role in AI SEO

Entity-First Indexing sits in the entity, retrieval, and knowledge-representation layer of AI SEO. This layer concerns how machines identify a real-world entity, connect facts to it, retrieve relevant passages, and reconcile information across sources.

It therefore overlaps with Entity Home, SEOntology, Reasoning Web, and Entity-First Indexing.

Application and interpretation

The concept is applied by first identifying the observable behaviour it describes, then testing that behaviour across a sufficiently broad set of prompts or sources. It should be used as a model for investigation rather than as a substitute for direct evidence from the relevant search or AI system.

ConceptRelationship
FragglesFragments of pages that search engines can index/rank/surface independently as answer-like units.
Entity HomeThe canonical page/source a search or AI system can use as the authoritative home for an entity's facts.
SEOntologyOpen ontology for representing SEO concepts/relationships in machine-readable form.
Reasoning WebVision of the web as structured evidence/relationships that AI systems can reason over, not merely retrieve pages from.

Limitations and attribution notes

The attribution evidence for Entity-First Indexing is comparatively strong, but the existence of a documented term origin does not establish that every underlying mechanism was first discovered by the named creator. Similar ideas can arise independently under different terminology.

The field itself changes rapidly. Model behaviour, retrieval systems, citation interfaces, and measurement tooling can change without the terminology changing, so operational claims should be re-tested against current systems.

See also

References

  1. Primary/original source for Entity-First Indexing. mobilemoxie.com. https://mobilemoxie.com/blog/the-entity-language-series-translation-and-language-apis-impact-on-search-3-of-5/.
  2. Creator/entity home. mobilemoxie.com. https://mobilemoxie.com/.
  3. Creator biography/about page. mobilemoxie.com. https://mobilemoxie.com/about/author/cindy-krum/.