{
 "row": "presenc-geo-papers",
 "address": "presenc ai geo academic papers",
 "entity": "Presenc AI's page 'GEO Academic Research Papers 2026, Comprehensive Summary' (presenc.ai/research/geo-academic-papers-2026), published and modified 23 April 2026, byline Ramanath, CTO and co-founder at Presenc AI: a vendor-authored working bibliography of 34 academic and industry papers on generative engine optimization in five themes, each with a 'What it means for practitioners' note; formalized in the MMRS meta-aggregator record of 2026-10-28 (census row presenc-geo-papers). Its sibling 'Essential GEO Research Papers, 10 Must-Read Studies' (presenc.ai/guides/essential-geo-research-papers) is a distinct entity on the same site.",
 "procedure": "EA-NEGONT-02 v0.7 §3.4 (D/R/O), working; not frozen",
 "config": {
  "row": "presenc-geo-papers",
  "address": "presenc ai geo academic papers",
  "addresses": [
   "presenc ai geo academic papers"
  ],
  "entity": "Presenc AI's page 'GEO Academic Research Papers 2026, Comprehensive Summary' (presenc.ai/research/geo-academic-papers-2026), published and modified 23 April 2026, byline Ramanath, CTO and co-founder at Presenc AI: a vendor-authored working bibliography of 34 academic and industry papers on generative engine optimization in five themes, each with a 'What it means for practitioners' note; formalized in the MMRS meta-aggregator record of 2026-10-28 (census row presenc-geo-papers). Its sibling 'Essential GEO Research Papers, 10 Must-Read Studies' (presenc.ai/guides/essential-geo-research-papers) is a distinct entity on the same site.",
  "row_type": "C (a public entity on which the archive bears: a vendor-authored curated list, one of the MMRS meta-aggregator's entities)",
  "aliases": [
   {
    "pattern": "\\bPresenc\\b",
    "flags": "i"
   },
   {
    "pattern": "\\bpresenc\\.ai\\b",
    "flags": "i"
   },
   {
    "pattern": "\\bRamanath\\b",
    "flags": ""
   }
  ],
  "classes": [
   {
    "term": "generative engine optimization (GEO)",
    "pattern": "\\bgenerative[- ]engine[- ]optimi[sz]ation\\b",
    "flags": "i",
    "basis": "field: B2 (the entity's own page, opening ¶1: 'Generative Engine Optimization (GEO) has accelerated from practitioner blog posts in 2022 to a substantial academic literature by 2026. This page is a running synthesis of 34 research papers and industry reports'); B1 (the sibling, opening: 'Our larger GEO academic papers synthesis catalogues 30+ papers'); B7 (Wikipedia, 'Generative engine optimization', the class article, lede)"
   },
   {
    "term": "GEO (the abbreviation)",
    "pattern": "\\bGEO\\b",
    "flags": "",
    "basis": "as above: B2 opening ¶1 ('Generative Engine Optimization (GEO)'); B1; B7 lede ('Generative engine optimization (GEO)'); case-sensitive, and read against the geographic and other senses of the string"
   },
   {
    "term": "answer engine optimization (AEO), a name of the same class",
    "pattern": "\\b(answer[- ]engine[- ]optimi[sz]ation|AEO)\\b",
    "flags": "",
    "basis": "field: B7 (Wikipedia, lede: 'Generative engine optimization (GEO), also known as answer engine optimization (AEO)'; Terminology: 'Other terms for the same concept include answer engine optimization (AEO)'); B2 places the list in GEO, which B7 gives AEO as a name of"
   },
   {
    "term": "AI visibility (the practitioner frame the list is written for)",
    "pattern": "\\bAI[- ]visibility\\b",
    "flags": "i",
    "basis": "field: B2 (the entity's own page, heading: 'A Working Bibliography for AI Visibility Practitioners'; the AIVO PSOS note: 'Presenc tracks analogous share-of-voice metrics'; the closing call: 'See how often your brand appears in ChatGPT, Claude, and Perplexity responses.'); B1 (the sibling, opening: 'every AI visibility practitioner should have read')"
   }
  ],
  "classes_note": "Four class patterns, each sourced from the field by locus: the list as a bibliography of generative engine optimization (B2, B1, B7), GEO's abbreviation (case-sensitive), answer engine optimization as a name B7 gives for the same concept, and AI visibility, the practitioner frame B2 names in its heading. AIO, which B7 also gives as a name of GEO ('artificial intelligence optimization'), is NOT run as a class: in the archive the string names Google's AI Overview, and a pattern on it would return the archive's whole capture apparatus as GEO candidates. No field source places the list in a class of the archive's own; the MMRS record's class (aggregators of machine-mediated reception work, role 'optimization') is an archive source, ledgered as MMRS claims and not run as an O-class. Admission by reading (§3.4): an O-class candidate is admitted only where its sentence or paragraph applies an archive category to GEO (or AEO, or AI visibility) as a class, a definition, a measure, a limit, a relation of an archive object to the class; a sentence on one named GEO vendor or tool, a bare listing, or a use of 'GEO' in another sense is not admitted. The aliases are the vendor's name (case-insensitive; '\\bPresenc\\b' does not match 'presence'), its domain, and its byline's name (case-sensitive), read and set aside where they name someone else.",
  "exclude_deposits": [],
  "notes": "entity-keyed pass, 2026-10-29, on the brief rebuild/negative-of-the-negative/v09/BRIEF-NEW-ROW-AGGREGATOR.md; address 'presenc ai geo academic papers' (presenc-ai-geo-academic-papers-aio-20261029, ADDR-c7764b83adae, OBS-27335b542846), Google AI Overview (expanded), signed out, incognito, reached after the operator overrode Google's correction of the query to 'presence'. The archive's own records of the entity (the Capture Registry's findings and analysis at the capture, the MMRS meta-aggregator record) are ledgered beside the deposits as CAP-1-NN and MMRS-NN."
 },
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    "subject": "The constitutive metaphysics",
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