{"id":"https://openalex.org/W7225035258","doi":"https://doi.org/10.5281/zenodo.23859693","title":"How AI Overviews Work and How to Structure Your Content to Get Picked","display_name":"How AI Overviews Work and How to Structure Your Content to Get Picked","publication_year":2026,"publication_date":"2026-10-01","ids":{"openalex":"https://openalex.org/W7225035258","doi":"https://doi.org/10.5281/zenodo.23859693"},"language":"en","primary_location":{"id":"doi:10.5281/zenodo.23859693","doi":"https://doi.org/10.5281/zenodo.23859693","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.23859693","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Dataset"},"volume":null,"type":"dataset","is_traditional":false,"indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.5281/zenodo.23859693","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100684950","display_name":"Mizanur Rahman","orcid":"https://orcid.org/0000-0002-8896-7077","observed_orcids":["https://orcid.org/0000-0002-8896-7077"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rahman, MD Mizanur","raw_affiliation_strings":["Invrse Marketing LLC"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Invrse Marketing LLC","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5160307695","display_name":"Invrse Marketing LLC","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Invrse Marketing LLC","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":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"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/T10286","display_name":"Information Retrieval and Search Behavior","score":0.9804999828338623,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10286","display_name":"Information Retrieval and Search Behavior","score":0.9804999828338623,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T13976","display_name":"Web visibility and informetrics","score":0.013100000098347664,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10609","display_name":"Digital Marketing and Social Media","score":0.00430000014603138,"subfield":{"id":"https://openalex.org/subfields/1406","display_name":"Marketing"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/google-ai-overviews","display_name":"Google AI Overviews","score":0.9480000138282776},{"id":"https://openalex.org/keywords/retrieval-augmented-generation","display_name":"retrieval-augmented generation","score":0.9200000166893005},{"id":"https://openalex.org/keywords/generative-search","display_name":"generative search","score":0.6800000071525574},{"id":"https://openalex.org/keywords/search-engine-optimization","display_name":"search engine optimization","score":0.5419999957084656},{"id":"https://openalex.org/keywords/knowledge-graphs","display_name":"knowledge graphs","score":0.3149999976158142}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7718999981880188},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.692300021648407},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.4440000057220459},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.4408000111579895},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.413100004196167},{"id":"https://openalex.org/C2778805511","wikidata":"https://www.wikidata.org/wiki/Q1713","display_name":"Citation","level":2,"score":0.3743000030517578},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.3635999858379364},{"id":"https://openalex.org/C21959979","wikidata":"https://www.wikidata.org/wiki/Q36774","display_name":"Web page","level":2,"score":0.36239999532699585},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35429999232292175},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.34549999237060547},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.33869999647140503},{"id":"https://openalex.org/C130590232","wikidata":"https://www.wikidata.org/wiki/Q1671754","display_name":"Inverted index","level":3,"score":0.32820001244544983},{"id":"https://openalex.org/C53016008","wikidata":"https://www.wikidata.org/wiki/Q620167","display_name":"Front and back ends","level":2,"score":0.32519999146461487},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.31060001254081726},{"id":"https://openalex.org/C120936955","wikidata":"https://www.wikidata.org/wiki/Q2155640","display_name":"Empirical research","level":2,"score":0.3061000108718872},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.3027999997138977},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.29319998621940613},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.28760001063346863},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.28200000524520874},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.2800999879837036},{"id":"https://openalex.org/C1893757","wikidata":"https://www.wikidata.org/wiki/Q3653001","display_name":"Inversion (geology)","level":3,"score":0.27869999408721924},{"id":"https://openalex.org/C13743948","wikidata":"https://www.wikidata.org/wiki/Q45842","display_name":"Web crawler","level":2,"score":0.27379998564720154},{"id":"https://openalex.org/C2777382242","wikidata":"https://www.wikidata.org/wiki/Q6017816","display_name":"Index (typography)","level":2,"score":0.273499995470047},{"id":"https://openalex.org/C81758059","wikidata":"https://www.wikidata.org/wiki/Q796584","display_name":"tf\u2013idf","level":3,"score":0.2639999985694885},{"id":"https://openalex.org/C86037889","wikidata":"https://www.wikidata.org/wiki/Q4330127","display_name":"Learning to rank","level":3,"score":0.26019999384880066},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.25940001010894775},{"id":"https://openalex.org/C166423231","wikidata":"https://www.wikidata.org/wiki/Q1891170","display_name":"Semantic search","level":3,"score":0.25839999318122864},{"id":"https://openalex.org/C521815418","wikidata":"https://www.wikidata.org/wiki/Q4182287","display_name":"Web search engine","level":4,"score":0.257099986076355},{"id":"https://openalex.org/C161156560","wikidata":"https://www.wikidata.org/wiki/Q1638872","display_name":"Document retrieval","level":2,"score":0.2538999915122986},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.25290000438690186},{"id":"https://openalex.org/C547195049","wikidata":"https://www.wikidata.org/wiki/Q1725664","display_name":"Terminology","level":2,"score":0.25189998745918274}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.5281/zenodo.23859693","doi":"https://doi.org/10.5281/zenodo.23859693","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.23859693","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Dataset"}],"best_oa_location":{"id":"doi:10.5281/zenodo.23859693","doi":"https://doi.org/10.5281/zenodo.23859693","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.23859693","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Dataset"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W7221832157","https://openalex.org/W7216158034","https://openalex.org/W7171299142","https://openalex.org/W7148809223","https://openalex.org/W7161263975","https://openalex.org/W7223667199","https://openalex.org/W7155001726","https://openalex.org/W7214496861","https://openalex.org/W7223442003","https://openalex.org/W7171708319"],"abstract_inverted_index":{"Empirical":[0,123],"400-Query":[1],"US":[2,240,249,732],"SERP":[3,43,417,443,699],"&":[4,54,125,132,278,307,337,807,815,1134,1284,1289,1315,1436],"AI":[5,40,81,85,119,160,171,290,319,349,379,448,500,519,532,576,609,643,646,679,689,707,757,769,772,786,793,800,921,934,957,960],"Mode":[6,86,773,787,801,961],"Citation":[7,833,893],"Telemetry":[8,465,721,1287],"(n":[9,1058,1066,1100,1144,1445],"=":[10,412,437,726,841,1059,1067,1101,1145,1184,1241,1265,1271,1277,1446],"2,400":[11,451],"Evaluated":[12,260],"Slots)":[13,261],"This":[14],"open-access":[15],"research":[16,24],"deposit":[17],"(DOI:":[18],"10.5281/zenodo.23859694)":[19],"contains":[20],"the":[21,28,96,109,194,207,403,423,430,526,531,605,619,797,837,874,897,910,954,982,1002,1009,1026,1141,1152,1159,1172,1193,1205,1251,1257,1343,1364],"12-slide":[22],"executive":[23],"report":[25],"(Invrse-Marketing-Google-AI-Overview-Citation-Checkmap-2026.pdf)":[26],"and":[27,42,68,74,83,104,147,162,173,197,219,227,238,302,330,362,393,422,542,568,587,645,710,825,932,1040,1156,1225,1376],"two":[29],"unmodified":[30],"10-column":[31],"primary":[32,188,487],"CSV":[33],"datasets":[34],"(SERP":[35,904,916],"Analysis":[36,44,418,444,905,917],"2026":[37,45,246,419,445,631,713,906,918],"-":[38,46,420,446,907,919],"Google":[39,80,118,154,447,665,920,1000],"Overview.csv":[41],"SERP.csv)":[47,421,908],"produced":[48],"by":[49,796,953,1054],"MD":[50],"Mizanur":[51],"Rahman,":[52],"Founder":[53],"CEO":[55],"of":[56,607,663,675,685,762,778,946,970,996,1047,1154,1359,1373],"Invrse":[57,231,1437],"Marketing":[58,232],"LLC.":[59],"The":[60,262,888],"study":[61,472],"evaluates":[62],"how":[63],"Google's":[64,178,784,1349],"Retrieval-Augmented":[65],"Generation":[66],"(RAG)":[67],"query":[69,1142],"fan-out":[70],"pipelines":[71],"select,":[72],"extract,":[73],"cite":[75],"web":[76,111,195],"sources":[77],"across":[78,193,268,561],"standard":[79,767],"Overviews":[82,644,708],"conversational":[84,785],"responses":[87],"compared":[88,682],"against":[89,477,703,909],"traditional":[90,211,670],"Organic":[91,284,313,343,373,890,900,938,1010,1055,1063,1097,1173,1194,1252],"Top":[92,285,314,344,374,891,901,939,1011,1174,1195,1253],"3":[93,286,315,345,375,405,411,425,436,840,892,902,940,1012,1196,1227,1230,1254,1275,1278],"rankings.":[94],"For":[95,398],"full":[97],"business":[98],"implementation":[99],"playbook,":[100],"sector-by-sector":[101],"case":[102],"forensics,":[103],"on-page":[105],"execution":[106],"blueprints,":[107],"read":[108],"canonical":[110],"publication:":[112],"Strategy":[113,1375],"to":[114,200,514,539,548,618,626,640,683],"Get":[115],"Cited":[116],"in":[117,153,244,416,442,455,616,628,642,791,1008,1204,1256,1357],"Overview":[120,501,520,577,610,647,770,794,958],"(2026)":[121],"\u2014":[122],"Study":[124,503,662,709],"Playbook.":[126],"1.":[127],"Research":[128,651,657],"Architecture,":[129],"Sampling":[130,257],"Frame":[131],"Retrieval":[133],"Context":[134],"Modern":[135],"generative":[136,179,221,431,439,474,739,754,875,913,985,1162,1208,1260],"search":[137,242,407,559,671],"systems":[138],"no":[139,688],"longer":[140],"rely":[141],"solely":[142],"on":[143,159,168,523,638,673,741,810,817,822,829,1025,1151,1215,1221,1229,1363],"classical":[144],"lexical":[145],"inversion":[146],"PageRank-weighted":[148],"link":[149,672],"graphs.":[150],"As":[151],"documented":[152],"Search":[155,225,228,715],"Central's":[156],"technical":[157],"specification":[158,324,1022],"Features":[161],"Your":[163],"Website":[164],"alongside":[165],"foundational":[166],"guidance":[167],"Using":[169],"Generative":[170],"Content":[172,1374],"Creating":[174],"Helpful,":[175],"People-First":[176],"Content,":[177],"answer":[180,432],"layer":[181],"executes":[182],"multi-query":[183],"fan-out:":[184],"decomposing":[185],"a":[186,613,669,738,753,766,924,1015,1166,1370],"user's":[187],"prompt":[189],"into":[190,783],"parallel":[191],"sub-queries":[192],"index":[196],"Knowledge":[198],"Graph":[199],"retrieve":[201],"passage-level":[202,220,933],"grounding":[203],"chunks.":[204],"To":[205],"quantify":[206],"structural":[208,926],"divergence":[209],"between":[210,928],"organic":[212,406,414,508,534,566,581,622,750,930,977],"page":[213],"ranking":[214,978,1007],"(Search":[215],"Engine":[216],"Optimization":[217,226],"Service)":[218],"citation":[222,291,320,350,380,426,440,469,475,844,914,935,962,986,1163,1209,1261],"selection":[223],"(AI":[224],"Everywhere":[229],"Optimization),":[230],"LLC":[233],"audited":[234,731],"400":[235,724,730],"non-brand":[236],"commercial":[237,271,359,1155,1354],"informational":[239,505,1017,1157],"English":[241],"queries":[243,274,281,310,340,370,524,735,746,760,776,812,1183,1217,1223,1231,1240,1267,1273,1279],"October":[245],"using":[247],"logged-out":[248],"desktop":[250,742],"retrieval":[251,1169],"via":[252],"SerpApi.":[253],"1.1":[254],"Stratified":[255],"4-Sector":[256,1132],"Design":[258],"(2,400":[259],"400-query":[263,488],"corpus":[264],"was":[265,528],"stratified":[266],"equally":[267],"four":[269,478],"distinct":[270],"verticals":[272],"(100":[273,280,309,339,369],"per":[275],"vertical):":[276],"SaaS":[277,806,1288],"Software":[279,808,1290],"/":[282,288,311,317,341,347,371,377,723,959,1181,1238],"300":[283,289,312,318,342,348,372,378],"slots":[287,316,346,376,415,441,454,848,856,872,903,948,972,998,1049],"card":[292,321,351,381,845,871],"slots):":[293,322,352,382,1069,1103,1293,1319,1382,1408],"Financial":[294],"KPI":[295],"formulas,":[296],"B2B":[297,335,820,1378],"workflow":[298],"automation,":[299],"API":[300],"architecture,":[301],"enterprise":[303],"compliance":[304],"queries.":[305,334],"E-Commerce":[306,814,1314,1341],"Retail":[308,816,1316],"Product":[323],"matrices,":[325],"material":[326],"comparisons,":[327],"sizing/firmness":[328,1361],"scales,":[329],"dermatological":[331],"ingredient":[332],"efficacy":[333],"Commercial":[336,714,821,1379],"Industrial":[338],"Freight":[353],"logistics,":[354],"3PL":[355],"warehousing":[356],"fee":[357],"structures,":[358],"roofing":[360],"calculators,":[361],"industrial":[363],"rehabilitation":[364],"specifications.":[365],"Local":[366,826,1403],"Home":[367,827,1404],"Services":[368,828,1405],"Residential":[383],"HVAC":[384],"diagnostics,":[385],"municipal":[386],"utility":[387],"leak":[388],"triage,":[389],"trenchless":[390],"sewer":[391],"rehabilitation,":[392],"emergency":[394],"repair":[395],"cost":[396],"bands.":[397],"every":[399],"query,":[400],"we":[401],"captured":[402],"top":[404,424,911,955,983,1160,1206,1258],"results":[408],"(400":[409,434],"\u00d7":[410,435,839],"1,200":[413,438],"cards":[427,915,1164,1262],"rendered":[428,765],"inside":[429,530,574,981],"block":[433,876],"Overview.csv),":[449],"yielding":[450],"evaluated":[452],"URL":[453,965,979,1006,1023,1037,1077,1111,1199,1235,1296,1322,1385,1411],"total.":[456],"2.":[457],"External":[458],"Macro":[459,698],"Click-Stream":[460,661],"Benchmarks":[461],"vs.":[462,584,593],"Primary":[463,718,885,1129,1430],"Trigger":[464,720,804],"Before":[466],"analyzing":[467],"slot-level":[468],"overlap,":[470],"our":[471,486,729],"contextualizes":[473],"economics":[476],"independent":[479],"external":[480],"click-stream":[481],"studies":[482],"(strictly":[483],"separated":[484],"from":[485,512,537,546,1171,1192,1250],"audit):":[489],"Seer":[490,496,552],"Interactive":[491],"Longitudinal":[492],"CTR":[493,502,509,535,544,582,591],"Cohorts:":[494],"In":[495,551,599,655],"Interactive's":[497,553],"February":[498,630],"2025":[499,555,602,660],"(~10,000":[504],"keywords),":[506],"baseline":[507],"plummeted":[510],"year-over-year":[511],"1.41%":[513],"0.64%":[515],"(-54.6%)":[516],"when":[517,677,687],"an":[518,575,608,678],"appeared;":[521],"however,":[522],"where":[525,873],"brand":[527],"cited":[529,573,980,1014],"Overview,":[533],"rose":[536,545],"0.74%":[538],"1.02%":[540],"(+37.8%)":[541],"paid":[543,570,590],"7.89%":[547],"11.0%":[549],"(+39.4%).":[550],"September":[554],"Update":[556,632],"tracking":[557],"3,119":[558],"terms":[560],"42":[562],"client":[563],"organizations,":[564],"25.1M":[565],"impressions,":[567,571],"1.1M":[569],"brands":[572],"earned":[578],"+35%":[579],"higher":[580,589],"(0.70%":[583],"0.52%":[585],"uncited)":[586],"+91%":[588],"(7.89%":[592],"4.14%":[594],"uncited).":[595],"Ahrefs":[596],"Click-Reduction":[597],"Benchmarks:":[598],"Ahrefs'":[600,629,635],"April":[601],"300,000-Keyword":[603],"Study,":[604],"presence":[606],"correlated":[611],"with":[612],"-34.5%":[614],"reduction":[615],"clicks":[617],"Position":[620,1057,1064,1098],"#1":[621,1065],"page,":[623],"which":[624,1368],"deepened":[625],"-58%":[627],"(see":[633],"also":[634],"companion":[636,1360],"analyses":[637],"How":[639],"Rank":[641,1056],"Top-10":[648],"Citations).":[649],"Pew":[650,656],"Center":[652],"Behavioral":[653],"Panel:":[654],"Center's":[658],"July":[659,712],"68,879":[664],"searches,":[666],"users":[667],"clicked":[668],"8%":[674],"visits":[676,686],"summary":[680,690],"appeared":[681,691,1203,1255],"15%":[684],"(a":[692],"-46.7%":[693],"relative":[694],"click":[695],"drop).":[696],"Semrush":[697],"Expansion":[700],"Studies:":[701],"Cross-referenced":[702],"Semrush's":[704,711],"10M+":[705],"Keyword":[706],"Study.":[716],"2.1":[717],"Audit":[719],"(372":[722],"Queries":[725],"93.0%)":[727],"Across":[728,836],"queries,":[733,1189,1246],"372":[734,838,1060,1068,1102,1146,1182,1239],"(93.0%)":[736],"triggered":[737,763,779,809,843,899,1147,1188,1245,1292,1318,1381,1407],"response":[740,788],"SERPs,":[743,1158],"while":[744,854],"28":[745],"(7.0%)":[747],"returned":[748],"classic":[749],"SERPs":[751],"without":[752],"summary:":[755],"Standard":[756],"Overviews:":[758],"215":[759],"(57.80%":[761],"queries)":[764,780,1148],"top-of-SERP":[768],"block.":[771],"Responses:":[774],"157":[775],"(42.20%":[777],"routed":[781],"directly":[782],"architecture":[789],"(identified":[790],"Full":[792],"Answer":[795],"string":[798],"prefix":[799],"replied:).":[802],"Sector":[803],"Rates:":[805],"100/100":[811],"(100.0%),":[813],"99/100":[818],"(99.0%),":[819],"87/100":[823],"(87.0%),":[824],"86/100":[830],"(86.0%).":[831],"Valid":[832,1448],"Card":[834],"Yield:":[835],"1,116":[842,898,947,971,997,1048],"slots,":[846],"1,100":[847,1447],"(98.57%)":[849],"contained":[850],"valid":[851],"HTTP":[852,1449],"URLs,":[853],"16":[855],"(1.43%)":[857],"were":[858,950],"unrendered":[859],"secondary":[860],"(Citation":[861,867],"#2:":[862],"4":[863],"rows)":[864,870],"or":[865,880,1004,1021],"tertiary":[866],"#3:":[868],"12":[869],"displayed":[877],"only":[878],"1":[879,1212],"2":[881,1219,1269],"total":[882],"sources.":[883],"3.":[884],"Finding":[886,1130,1431],"1:":[887],"80.47%":[889],"Overlap":[894,1179,1236],"Gap":[895],"Cross-matching":[896],"three":[912,956,984,1161,1207,1259],"Overview.csv)":[922],"reveals":[923],"profound":[925],"decoupling":[927],"page-level":[929],"rank":[931],"selection:":[936],"Skipped":[937,1312,1338,1401,1427],"Slots":[941],"(NO":[942],"(Organic":[943],"Only)):":[944],"898":[945],"(80.47%)":[949],"completely":[951,1167],"bypassed":[952],"cards.":[963,987,1210],"Exact":[964,1036,1076,1110,1234,1295,1321,1384,1410],"Dual-Win":[966,1033,1078,1091,1094,1112,1125,1283,1297,1308,1323,1334,1386,1397,1412,1423],"Slots:":[967],"Only":[968],"182":[969],"(16.31%)":[973],"had":[974],"their":[975],"exact":[976,1027,1198,1248],"Same-Domain":[988,1041,1083,1117,1301,1327,1390,1416],"Sibling":[989,1042,1084,1118,1285,1302,1328,1391,1417],"Cluster":[990],"Wins":[991,1043],"(Domain":[992],"Cluster):":[993],"On":[994,1186,1243],"36":[995],"(3.23%),":[999],"skipped":[1001,1071,1105],"transactional":[1003],"category":[1005],"but":[1013],"different":[1016],"buying":[1018],"guide,":[1019],"calculator,":[1020],"hosted":[1024],"same":[1028,1365],"root":[1029],"domain.":[1030],"Combined":[1031,1090,1124,1177,1307,1333,1396,1422],"Domain/URL":[1032,1178],"Rate:":[1034],"Combining":[1035],"Dual-Wins":[1038],"(182)":[1039],"(36)":[1044],"yields":[1045],"218":[1046],"(19.53%).":[1050],"3.1":[1051],"Slot-Level":[1052],"Breakdown":[1053],"Triggered":[1061],"Queries)":[1062],"76.88%":[1070],"(286":[1072],"slots)":[1073,1080,1087,1107,1114,1121],"|":[1074,1081,1088,1108,1115,1122,1299,1305,1310,1325,1331,1336,1388,1394,1399,1414,1420,1425],"18.82%":[1075],"(70":[1079],"4.30%":[1082],"Win":[1085,1119,1303,1329,1392,1418],"(16":[1086],"23.12%":[1089],"(86":[1092],"slots).|---|---|Combined":[1093],"(71":[1095],"slots).":[1096,1127],"#3":[1099],"83.60%":[1104],"(311":[1106],"13.17%":[1109],"(49":[1113],"3.23%":[1116],"(12":[1120],"16.40%":[1123],"(61":[1126],"4.":[1128],"2:":[1131],"Matrix":[1133],"Per-Query":[1135],"Split-SERP":[1136],"Distribution":[1137,1444],"Evaluating":[1138],"overlap":[1139],"at":[1140],"level":[1143],"demonstrates":[1149],"that":[1150],"majority":[1153],"represent":[1165],"separate":[1168],"pool":[1170],"3:":[1175,1432],"Zero":[1176,1233],"(200":[1180],"53.76%):":[1185],"200":[1187],"zero":[1190,1247],"domains":[1191],"(neither":[1197],"nor":[1200],"sibling":[1201,1345],"page)":[1202],"Exactly":[1211],"match":[1213,1264],"occurred":[1214],"129":[1216],"(34.68%),":[1218],"matches":[1220,1228,1270,1276],"40":[1222],"(10.75%),":[1224],"all":[1226],"(0.81%).":[1232],"(229":[1237],"61.56%):":[1242],"229":[1244],"URLs":[1249],"(1":[1263],"107":[1266],"[28.76%],":[1268],"33":[1272],"[8.87%],":[1274],"[0.81%]).":[1280],"4.1":[1281],"Sector-Level":[1282],"Routing":[1286],"(300":[1291],"14.33%":[1294],"(43)":[1298],"0.67%":[1300],"(2)":[1304],"15.00%":[1306],"(45)":[1309,1413],"85.00%":[1311],"(255).":[1313],"(297":[1317],"13.47%":[1320],"(40)":[1324],"6.73%":[1326],"(20)":[1330],"20.20%":[1332],"(60)":[1335],"79.80%":[1337],"(237).":[1339],"(Note:":[1340],"exhibits":[1342],"highest":[1344],"routing":[1346],"rate":[1347],"because":[1348],"RAG":[1350],"pipeline":[1351],"routinely":[1352],"bypasses":[1353],"product":[1355],"grids":[1356],"favor":[1358],"guides":[1362],"retail":[1366],"domain,":[1367],"is":[1369],"central":[1371],"pillar":[1372],"Marketing.)":[1377],"(261":[1380],"20.69%":[1383],"(54)":[1387],"3.07%":[1389],"(8)":[1393],"23.75%":[1395],"(62)":[1398],"76.25%":[1400],"(199).":[1402],"(258":[1406],"17.44%":[1409],"2.33%":[1415],"(6)":[1419],"19.77%":[1421],"(51)":[1424],"80.23%":[1426],"(207).":[1428],"5.":[1429],"850":[1433],"Unique":[1434],"Hostnames":[1435],"5-Pattern":[1438],"Single-Label":[1439],"Codebook":[1440],"5.1":[1441],"Hostname":[1442],"Frequency":[1443],"Citations)":[1450],"Parsing":[1451],"lowercase":[1452],"net":[1453]},"counts_by_year":[],"updated_date":"2026-11-03T10:50:19.383937","created_date":"2026-11-02T00:00:00"}
