{"id":"https://openalex.org/W7127613391","doi":"https://doi.org/10.48550/arxiv.2602.02961","title":"Generative Engine Optimization: A VLM and Agent Framework for Pinterest Acquisition Growth","display_name":"Generative Engine Optimization: A VLM and Agent Framework for Pinterest Acquisition Growth","publication_year":2026,"publication_date":"2026-02-03","ids":{"openalex":"https://openalex.org/W7127613391","doi":"https://doi.org/10.48550/arxiv.2602.02961"},"language":null,"primary_location":{"id":"pmh:doi:10.48550/arxiv.2602.02961","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"type":"article","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":null,"any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5125061171","display_name":"Faye Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Faye","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5121291748","display_name":"Qianyu Cheng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cheng, Qianyu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027989840","display_name":"Jasmine Xiang Ling Wan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wan, Jasmine","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101407025","display_name":"Vishwakarma Singh","orcid":"https://orcid.org/0000-0002-4258-9832"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Singh, Vishwakarma","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075728689","display_name":"Jinfeng Rao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rao, Jinfeng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5050639290","display_name":"Kofi Boakye","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Boakye, Kofi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.12873882,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.5289999842643738,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.5289999842643738,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10883","display_name":"Ethics and Social Impacts of AI","score":0.032600000500679016,"subfield":{"id":"https://openalex.org/subfields/3311","display_name":"Safety Research"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13910","display_name":"Computational and Text Analysis Methods","score":0.029899999499320984,"subfield":{"id":"https://openalex.org/subfields/3300","display_name":"General Social Sciences"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.5946999788284302},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.5902000069618225},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.49869999289512634},{"id":"https://openalex.org/keywords/search-engine","display_name":"Search engine","score":0.4702000021934509},{"id":"https://openalex.org/keywords/visual-search","display_name":"Visual search","score":0.43140000104904175},{"id":"https://openalex.org/keywords/semantic-search","display_name":"Semantic search","score":0.4226999878883362},{"id":"https://openalex.org/keywords/disintermediation","display_name":"Disintermediation","score":0.3418999910354614}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8162999749183655},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.5946999788284302},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.5902000069618225},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.49869999289512634},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.49050000309944153},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.4702000021934509},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.4683000147342682},{"id":"https://openalex.org/C158495155","wikidata":"https://www.wikidata.org/wiki/Q2369151","display_name":"Visual search","level":2,"score":0.43140000104904175},{"id":"https://openalex.org/C166423231","wikidata":"https://www.wikidata.org/wiki/Q1891170","display_name":"Semantic search","level":3,"score":0.4226999878883362},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4207000136375427},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3465999960899353},{"id":"https://openalex.org/C125706105","wikidata":"https://www.wikidata.org/wiki/Q1137418","display_name":"Disintermediation","level":2,"score":0.3418999910354614},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.3158999979496002},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.30630001425743103},{"id":"https://openalex.org/C2129575","wikidata":"https://www.wikidata.org/wiki/Q54837","display_name":"Semantic Web","level":2,"score":0.3009999990463257},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.2892000079154968},{"id":"https://openalex.org/C69075417","wikidata":"https://www.wikidata.org/wiki/Q515701","display_name":"Linked data","level":3,"score":0.26420000195503235},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.260699987411499},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.25769999623298645},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2531999945640564}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:doi:10.48550/arxiv.2602.02961","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"doi:10.48550/arxiv.2602.02961","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2602.02961","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:doi:10.48550/arxiv.2602.02961","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Large":[0],"Language":[1],"Models":[2,120],"are":[3,89],"fundamentally":[4],"reshaping":[5],"content":[6,60,115],"discovery":[7],"through":[8],"AI-native":[9],"search":[10,20,42,82,105,128,143,227],"systems":[11,28],"such":[12],"as":[13,86],"ChatGPT,":[14],"Gemini,":[15],"and":[16,35,77,171,195],"Claude.":[17],"Unlike":[18],"traditional":[19],"engines":[21],"that":[22,80,102,135,180],"match":[23],"keywords":[24],"to":[25,53,122,140,175,208,222],"documents,":[26],"these":[27],"infer":[29],"user":[30,87,212],"intent,":[31],"synthesize":[32],"multimodal":[33,157],"evidence,":[34],"generate":[36],"contextual":[37],"answers":[38],"directly":[39],"on":[40],"the":[41,74,225],"page,":[43],"introducing":[44],"a":[45,99,216],"paradigm":[46],"shift":[47],"from":[48],"Search":[49],"Engine":[50,55],"Optimization":[51,56],"(SEO)":[52],"Generative":[54],"(GEO).":[57],"For":[58],"visual":[59,186,220],"platforms":[61,221],"hosting":[62],"billions":[63,184,192],"of":[64,151,185,193,197,199],"assets,":[65],"this":[66,131],"poses":[67],"an":[68],"acute":[69],"challenge:":[70],"individual":[71],"images":[72,194],"lack":[73],"semantic":[75],"depth":[76],"authority":[78],"signals":[79,182],"generative":[81,164,226],"prioritizes,":[83],"risking":[84],"disintermediation":[85],"needs":[88],"satisfied":[90],"in-place":[91],"without":[92],"site":[93],"visits.":[94],"We":[95],"present":[96],"Pinterest":[97],"GEO,":[98],"production-scale":[100],"framework":[101],"pioneers":[103],"reverse":[104],"design:":[106],"rather":[107],"than":[108],"generating":[109],"generic":[110],"image":[111],"captions":[112],"describing":[113],"what":[114,124],"is,":[116],"we":[117,167],"fine-tune":[118],"Vision-Language":[119],"(VLMs)":[121],"predict":[123],"users":[125],"would":[126],"actually":[127],"for,":[129],"augmented":[130],"with":[132],"AI":[133],"agents":[134],"mine":[136],"real-time":[137],"internet":[138],"trends":[139],"capture":[141],"emerging":[142],"demand.":[144],"These":[145],"VLM-generated":[146],"queries":[147],"then":[148],"drive":[149],"construction":[150],"semantically":[152],"coherent":[153],"Collection":[154],"Pages":[155],"via":[156],"embeddings,":[158],"creating":[159],"indexable":[160],"aggregations":[161],"optimized":[162],"for":[163,219],"retrieval.":[165],"Finally,":[166],"employ":[168],"hybrid":[169],"VLM":[170],"two-tower":[172],"ANN":[173],"architectures":[174],"build":[176],"authority-aware":[177],"interlinking":[178],"structures":[179],"propagate":[181],"across":[183,191],"assets.":[187],"Deployed":[188],"at":[189],"scale":[190],"tens":[196],"millions":[198],"collections,":[200],"GEO":[201],"delivers":[202],"20\\%":[203],"organic":[204],"traffic":[205],"growth":[206],"contributing":[207],"multi-million":[209],"monthly":[210],"active":[211],"(MAU)":[213],"growth,":[214],"demonstrating":[215],"principled":[217],"pathway":[218],"thrive":[223],"in":[224],"era.":[228]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-02-06T00:00:00"}
