Enterprise Search Knowledge Copilots

Manufacturing Ops Executive

Top Wikipedia Pages

Dominant · Search Engine Appearances ρ=0.473

AI recommendation signal analysis across 387 domains for the Manufacturing Ops Executive persona in Enterprise Search Knowledge Copilots.

Download this report (.xlsx)

387Domains Tracked

5.8MReddit Posts

27KWikipedia Articles

1.9MOpen Web Matches

Manufacturing Ops Executive_persona.report

ArticleScore

Internet of things

92.9

Google

90.4

Applications of artificial intelligence

90.2

Glossary of artificial intelligence

88.5

Data center

88.2

Articles rankedn = 25

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About This Report

How to use this page

Persona view: this page is scoped to this persona's queries alone.

Use Case

See how Wikipedia covers your market

Wikipedia is one of the most heavily cited sources in LLM training data and AI answers. These are the articles where this segment's topics live and its brands get mentioned. Study where competitors appear, and treat the zero-mention list at the bottom as articles worth earning a legitimate presence in.

How It's Calculated

Where the numbers come from

We scan the full text of every English Wikipedia article for this segment's topic phrases and brand hostnames, then count matches per article. Maintenance pages (drafts, templates, categories and similar) are excluded. Article links use stable page IDs, so they survive renames.

Overview

What's on this page

Top-article charts by topic matches and by brand mentions, the full article table, and a list of topic-heavy articles that mention none of this segment's brands.

Segment Totals

Wikipedia coverage at a glance

How much of English Wikipedia touches Manufacturing Ops Executive: distinct articles containing this segment's topic phrases, distinct articles mentioning its brand domains, and the raw match totals behind them.

27K

Articles With Topic Matches

93K

Articles Mentioning Brands

187K

Topic Phrase Matches

724K

Brand Mentions

Wikipedia Data

Top Wikipedia articles

The articles where Manufacturing Ops Executive's topics and brands appear most. Topic Matches counts this segment's own vocabulary in the article text; Brand Mentions counts its brand domains; Blended merges the two on a log scale (brand mentions weighted higher, 0 to 100). Bars and article titles link to the live article. The table follows the selected view.

Article	Blended	Topic Matches	Brand Mentions

Internet of things	92.9	138	882
Google	90.4	288	381
Applications of artificial intelligence	90.2	312	351
Glossary of artificial intelligence	88.5	400	240
Data center	88.2	82	760
Computer security	87.5	103	596
Corporate responses to the Russian invasion of Ukraine	86.9	147	424
List of TCP and UDP port numbers	86.7	90	600
Comparison of user features of messaging platforms	85.8	100	498
Big data	84.6	148	324
Microsoft	84.5	96	448
Tesla, Inc.	84.5	129	358
Artificial intelligence	83.4	231	204
Microsoft Dynamics 365	82.8	75	440
Generative AI	82.0	195	198
History of IBM	81.5	86	345
Chery	81.3	128	249
Algorithmic bias	81.2	100	296
Siemens	81.2	212	168
Timeline of computing 2020–present	80.8	156	204
Lenovo	80.6	82	324
Netflix	80.5	98	278
Economic impact of the COVID-19 pandemic	79.7	103	244
Oracle Corporation	79.7	134	202
Dell	79.6	142	190
Facebook	79.5	103	240
IBM	79.4	55	380
Amazon Web Services	79.0	64	324
LinkedIn	79.0	89	252
HubSpot	78.6	86	248
List of datasets for machine-learning research	78.4	124	184
Sony	78.3	73	272
Wikipedia	78.2	348	82
Timeline of Amazon Web Services	77.6	49	336
Educational technology	77.4	102	190
Customer relationship management	77.3	38	392
Walmart	77.3	109	179
Great Resignation	77.1	108	176
Workday, Inc.	76.9	72	234
History of Microsoft	76.8	57	276
Microsoft 365	76.8	68	240
Automation	76.8	128	150
List of mergers and acquisitions by Microsoft	76.2	204	98
Nvidia	75.9	81	190
Google Gemini	75.8	171	108
DELMIA	75.7	128	132
List of mergers and acquisitions by Alphabet	75.5	213	88
Glean Technologies	75.5	125	132
Intuit	75.4	70	202
Year 2000 problem	75.0	82	171
E-government	74.4	33	315
Criticism of Tesla, Inc.	74.2	108	127
OpenAI	74.1	60	194
BYD Auto	74.1	80	157
Whole Foods Market	73.7	79	152
Amazon Alexa	73.5	152	90
Microsoft Copilot	73.4	47	216
Smart city	73.4	72	156
ThinkPad	73.2	49	204
Government by algorithm	73.2	110	112
History of virtual learning environments in the 1990s	73.1	76	146
Microsoft Azure	73.0	37	246
Supply chain management	73.0	52	190
AI agent	73.0	120	102
Data center management	72.8	52	186
Pegasystems	72.8	111	106
Wearable technology	72.6	44	206
Meta Platforms	72.5	140	86
Windows 8	72.4	38	225
List of mergers and acquisitions by IBM	72.3	84	123
Amazon (company)	72.1	99	106
Industrial internet of things	72.0	42	200
Speech recognition	71.9	72	132
Paris Hilton	71.6	141	77
List of common misconceptions about science, technology, and mathematics	71.6	130	82
Facial recognition system	71.6	65	138
ServiceNow	71.5	56	152
Generation Z in the United States	71.5	84	112
VMware	71.4	45	177
Bill Gates	71.3	86	108
Economy of Ohio	71.2	114	86
Financial technology	71.0	35	204
History of virtual learning environments	70.9	29	231
McAfee	70.9	55	144
WikiLeaks	70.7	196	54
Privacy concerns with social networking services	70.7	132	73
List of Microsoft codenames	70.3	42	165
List of academic databases and search engines	70.3	120	75
Department of Government Efficiency	70.2	81	100
Nintendo	70.0	56	128
List of INSEAD alumni	70.0	73	105
COVID-19 apps	70.0	74	104
List of retailers affected by the retail apocalypse	69.9	106	79
List of modern great powers	69.8	93	86
Glossary of computer science	69.6	104	77
Fourth Industrial Revolution	69.5	50	132
Fake news	69.5	94	82
Ethics of artificial intelligence	69.5	61	114
Existential risk from artificial intelligence	69.4	96	80
Volkswagen	69.4	86	87
AI boom	69.1	57	114
Enterprise resource planning	69.0	44	137
Features new to Windows 10	69.0	48	128
Recommender system	68.8	88	80
BP	68.7	83	82
Reliability of Wikipedia	68.5	62	100
Cloudflare	68.4	142	53
Machine learning	68.4	60	102
LG Electronics	68.4	65	96
NRG Energy	68.1	42	128
AMD	68.0	58	100
Firefox	67.9	42	126
Impact of the COVID-19 pandemic on television in the United States	67.9	69	86
Economic policy of the Biden administration	67.8	67	87
Social media	67.7	70	84
Workiva	67.6	28	164
ABB	67.6	40	126
IPv6 deployment	67.5	30	153
Databricks	67.3	27	162
Business intelligence	67.1	36	128
Enterprise content management	67.0	20	195
The Trump Organization	66.9	73	74
Social determinants of health	66.7	21	182
Economy of Indonesia	66.7	39	116
Windows 7	66.7	39	115
January–March 2023 in science	66.7	58	86
Lucidworks	66.5	75	69
Remote work	66.5	54	89
Crowdsourcing	66.5	72	71
Google Cloud Platform	66.5	58	84
Impact of the COVID-19 pandemic on science and technology	66.5	64	78
Artificial intelligence in healthcare	66.4	42	106
Timeline of artificial intelligence	66.4	82	64
Advance-fee scam	66.3	35	120
McKinsey & Company	66.3	60	80
Artificial intelligence in marketing	66.1	20	176
Hitachi	66.1	34	120
Big Tech	66.1	78	64
Business career of Donald Trump	66.1	62	76
System of National Accounts	65.9	33	119
Globalization	65.9	38	108
OpenText	65.9	58	78
Duolingo	65.8	52	84
Ericsson	65.7	35	112
Amazon Prime	65.7	67	69
Virtual reality	65.6	35	110
Microsoft Bing	65.6	48	87
Regulation of artificial intelligence	65.6	53	81
Deloitte	65.5	59	74
Smartwatch	65.4	39	99
Peloton Interactive	65.4	62	70
HTTP cookie	65.2	27	128
Genetically modified food controversies	65.0	74	59
Features new to Windows 8	64.9	23	138
Windows Server 2003	64.9	25	130
Hallucination (artificial intelligence)	64.9	29	117
PwC	64.9	64	65
Vector database	64.8	75	57
Baby boomers	64.8	62	66
Customer experience	64.7	25	128
Transport in India	64.7	28	118
Qualcomm	64.6	62	64
Ad blocking	64.5	40	88
Quality management system	64.5	49	76
List of semiconductor fabrication plants	64.4	66	60
KPMG	64.4	52	72
ThoughtSpot	64.1	40	84
Economy of Mexico	64.1	54	67
History of Google	64.1	51	70
Digital health	63.9	40	82
Censorship in China	63.8	44	76
Anthropic	63.8	47	72
Nintendo 3DS	63.7	40	80
SoftBank Group	63.7	58	61
Cognizant	63.7	52	66
FuboTV	63.7	47	71
Johnson & Johnson	63.6	72	51
Telegram (software)	63.5	71	51
United States Department of Homeland Security	63.5	44	73
Comparison of webmail providers	63.4	29	99
Windows XP	63.4	34	88
Tegra	63.4	72	50
OpenStreetMap	63.4	37	82
Eli Lilly and Company	63.4	55	61
COVID-19 vaccine	63.4	54	62
GPT-4	63.3	34	87
Panera Bread	63.3	49	66
History of Microsoft SQL Server	63.2	26	104
Fin (company)	63.2	32	90
Perplexity AI	63.1	128	31
Autonomy Corporation	63.1	72	48
Snoop Dogg	63.0	104	36
Moderna COVID-19 vaccine	63.0	56	58
Neural network (machine learning)	62.9	22	114
Google Glass	62.9	55	58
Online dating	62.8	66	50
Metadata	62.8	58	55
Artificial intelligence arms race	62.8	42	70
List of IBM products	62.7	22	112
Responses to the COVID-19 pandemic in April 2020	62.7	31	87
History of artificial intelligence	62.7	36	78
Economy of Singapore	62.6	36	77
SpaceX	62.6	62	51
Facebook Messenger	62.6	37	75
Supermicro	62.6	46	64
India–United States relations	62.5	57	54
Social networking service	62.5	54	56
COVID-19 drug development	62.5	40	70
Advertising	62.5	49	60
Donald Trump 2016 presidential campaign	62.4	86	39
Taboola	62.4	56	54
Human nutrition	62.3	31	83
Database	62.3	44	64
Genetically modified food	62.3	44	64
List of artificial intelligence projects	62.2	156	24
Mergers and acquisitions	62.2	23	102
Transistor count	62.2	49	58
Luminoso	62.0	36	72
Nuclear power	62.0	50	56
ASEAN	62.0	48	58
Knowledge graph	62.0	40	66
Data loss prevention software	61.9	13	148
Tyson Foods	61.8	94	34
Online age verification laws by country	61.8	69	43
SAS Institute	61.8	38	67
Synerise	61.8	45	59
Windows 2000	61.6	20	105
List of Google products	61.6	29	80
Document360	61.6	63	45
Metro-Goldwyn-Mayer	61.6	34	71
Sainsbury's	61.6	38	66
Open educational resources	61.6	40	63
H&R Block	61.5	33	72
VinFast	61.5	54	50
Transport Layer Security	61.5	46	56
AI anthropomorphism	61.4	28	81
UKG	61.4	35	68
Second Life	61.4	41	61
British government response to the COVID-19 pandemic	61.4	38	64
Health informatics	61.3	17	115
Occupational safety and health	61.3	24	89
Knowledge management	61.3	70	40
Deep learning	61.3	28	80
Lexmark	61.2	38	63
Faraday Future	61.2	49	52
Human behavior	61.1	15	122
Comparison of online backup services	61.1	20	100
Cyber threat intelligence	61.0	19	102
Xiaomi SU7	61.0	24	86
Whistleblowing	61.0	43	56
Search engine	60.9	110	27
Information security	60.9	19	101
Carlos Ghosn	60.9	55	46
Food and Drug Administration	60.8	38	60
SAP ERP	60.7	10	156
IBM Think conference	60.7	50	48
IBM Watson	60.6	70	37
Pfizer–BioNTech COVID-19 vaccine	60.6	59	42
AI alignment	60.6	37	60
History of radiation protection	60.5	25	79
Gender equality	60.5	50	47
Agent Orange	60.5	46	50
Fuzzy concept	60.5	46	50
Snowflake Inc.	60.4	22	86
Google DeepMind	60.4	59	41
Fisker Inc.	60.4	43	52
Data virtualization	60.3	17	102
Reactions to the Boeing 737 MAX groundings	60.3	55	43
PepsiCo	60.3	53	44
Ant Group	60.3	31	66
Boycott, Divestment and Sanctions	60.3	45	50
Microsoft Office 2007	60.2	21	87
List of German inventions and discoveries	60.2	51	45
Panos Ipeirotis	60.2	52	44
Features new to Windows XP	60.1	9	156
Public informatics	60.1	23	80
Enel North America	60.1	34	60
Foreign policy of the first Trump administration	60.0	91	28
Ernst & Young	60.0	42	51
U2	59.9	57	40
Xbox (console)	59.9	31	63
Windows 8.1	59.8	24	75
Columbia University pro-Palestinian campus protests during the Gaza war	59.8	48	45
Gamification	59.7	28	66
Sustainable business	59.6	24	73
Buffalo, New York	59.6	38	52
Hebbia	59.4	68	33
Nondestructive Evaluation 4.0	59.4	24	72
Social employee	59.4	26	68
Platinum Jubilee of Elizabeth II	59.4	54	39
Ferrari	59.4	49	42
Cortana (virtual assistant)	59.4	33	57
History of the telephone in the United States	59.4	45	45
District heating	59.4	36	53
Cyberwarfare by Russia	59.4	39	50
COVID-19 pandemic in Vietnam	59.4	40	49
Personality disorder	59.3	19	84
List of whistleblowers	59.3	55	38
Green computing	59.3	30	60
Internet Explorer version history	59.2	20	80
Ratan Tata	59.2	42	46
Timeline of sustainable energy research 2020 to the present	59.2	40	48
Plex Systems	59.1	16	93
Gender inequality	59.1	52	39
Metascience	59.1	52	39
Extract, transform, load	59.0	8	150
NTFS	59.0	16	92
Business process management	59.0	16	92
Virtual private network	59.0	17	88
Genetically modified organism	59.0	53	38
Herbalife	59.0	45	43
Wi-Fi	58.9	39	47
Black Friday (shopping)	58.8	64	32
BT Group	58.8	40	46
Procter & Gamble	58.7	56	35
Fujitsu	58.7	27	61
Keith J. Krach	58.7	35	50
PowerShell	58.6	20	75
Offshoring	58.6	32	53
Osama bin Laden	58.5	138	17
Volkswagen Group	58.5	49	38
Chegg	58.5	29	56
Text mining	58.3	44	40
Boeing 737 MAX certification	58.2	67	29
2017 United Express passenger removal	58.2	47	38
Collective intelligence	58.2	27	57
IPhone X	58.2	34	48
Economy of Taiwan	58.1	29	54
Micron Technology	58.1	32	50
Digital data	58.0	14	90
Google Nest	58.0	44	39
Over-the-top media service	58.0	35	46
ASOS plc	57.9	64	29
Revlon	57.9	42	40
Economy of Tamil Nadu	57.8	20	68
Criticism of Wikipedia	57.8	55	32
Sapphire Ventures	57.8	44	38
Windows 95	57.7	54	32
Legalization of non-medical cannabis in the United States	57.7	50	34
Biomedical text mining	57.7	48	35
Confidential computing	57.7	25	57
MacBook Pro (Intel-based)	57.7	42	39
Female education	57.6	29	51
History of Airbus	57.6	28	52
Archewell	57.6	40	40
Docebo	57.4	18	70
Baidu	57.4	46	35
List of Facebook features	57.4	43	37
Information retrieval	57.3	64	27
OpenStack	57.3	25	55
Privacy concerns with Google	57.2	52	31
Learning to rank	57.2	50	32
AstraZeneca	57.2	48	33
Sales engineering	57.0	11	96
Shutterstock	56.7	72	23
Climate change and gender	56.6	16	70
Personalized marketing	56.5	10	96
Collaboration	56.5	13	80
XMPP	56.5	14	76
Media bias	55.8	62	23
Search-based application	55.7	14	69
Palantir	55.6	0	536
Voice user interface	55.4	12	75
Play therapy	55.3	14	66
IBM Cloud	55.0	0	500
2009 Peanut Corporation of America recall	54.7	72	18
Outsourcing	54.5	0	475
Eric Horvitz	53.9	88	14
Analytics	53.8	10	71
AI observability	53.5	8	80
List of COVID-19 vaccine authorizations	53.5	70	16
History of Facebook	53.3	0	412
Android (operating system)	52.5	0	376
Cloud computing	52.4	0	372
Salesforce	50.8	0	312
COVID-19 pandemic	49.8	0	279
Online advertising	49.7	0	276
Government incentives for plug-in electric vehicles	49.7	0	276
Intel	49.4	0	264
Cisco	49.2	0	260
General Electric	49.0	0	255
Financial risk management	48.9	0	252
TikTok	48.8	0	248
Science and technology in Israel	48.7	0	246
Spotify	48.7	0	246
Windows 10	48.7	0	244
Social impact of the COVID-19 pandemic in the United States	48.6	0	243
Apple Inc.	48.4	0	238
Novell	48.3	0	234
Economy of China	48.1	0	230
Second presidency of Donald Trump	48.1	0	230
Homelessness in the United States	48.1	0	228
Issues in higher education in the United States	48.0	0	226
Smartphone	47.9	0	225
2025 in the United States	47.9	0	224
Blockchain	47.7	0	220
Education in the United States	47.6	0	216
Huawei	47.6	0	216
Founders Fund	47.6	0	216
Microsoft Office 2010	47.6	0	216
History of YouTube	47.5	0	213
Nokia	47.3	0	210
Peter Thiel	47.1	0	204
Netflix, Inc.	46.9	0	200
Timeline of the San Francisco Bay Area	46.7	0	196
Boycott of Russia and Belarus	46.7	0	196
Phishing	46.7	0	195
Solar power in India	46.6	0	194
List of data breaches	46.6	0	194
SAP	46.5	0	192
Twitch (service)	46.5	0	192
Antivirus software	46.3	0	186
X (social network)	46.3	0	186
JPMorgan Chase	46.2	0	184
List of companies of the United Kingdom A–J	46.1	0	182
United States	46.0	0	180
AI safety	46.0	0	180
Smoking cessation	45.8	0	177
Credit card	45.8	0	177
SD-WAN	45.8	0	176
Tablet computer	45.7	0	175
Cloud database	45.7	0	175
Criticism of Huawei	45.7	0	174
Nursing shortage	45.5	0	170
Criticism of Google	45.5	0	170
History of personal computers	45.4	0	168
List of acquisitions by Cisco	45.2	0	165
Windows Vista	45.2	0	165
In vitro fertilisation	45.2	0	164
Hispanic and Latino Americans	45.1	0	162
YouTube	45.1	0	162
Brand	45.1	0	162
Pinterest	45.1	0	162
Volkswagen emissions scandal	45.1	0	162
Healthcare in the United States	45.0	0	161
Streaming media	44.9	0	160
Cryptocurrency	44.9	0	160
Kaspersky Lab	44.9	0	159
ChatGPT	44.9	0	159
Columbia University	44.8	0	158
Amazon Prime Video	44.8	0	158
Instant messaging	44.7	0	156
List of humanitarian aid to Ukraine during the Russo-Ukrainian war	44.7	0	156
Samsung Electronics	44.6	0	154
Opioid epidemic in the United States	44.6	0	154
Medical error	44.6	0	153
Renault	44.5	0	152
Barack Obama	44.5	0	152
United States labor law	44.5	0	152
Apple Watch	44.5	0	152
One Big Beautiful Bill Act	44.5	0	152
Microsoft Outlook	44.4	0	150
Elon Musk	44.4	0	150
Streaming television	44.4	0	150
Mental health	44.4	0	150
T-Mobile US	44.3	0	149
Balance sheet	44.3	0	148
List of unicorn startup companies	44.1	0	145
Obesity	44.0	0	144
Laptop	44.0	0	144
3D printing	44.0	0	144
Plug-in hybrid	44.0	0	144
WhatsApp	44.0	0	144
Menopause	43.8	0	140
Ireland as a tax haven	43.8	0	140
Microsoft Office	43.6	0	138
Honeywell	43.6	0	138
Applications of 3D printing	43.6	0	138
United Kingdom	43.5	0	136
Donald Trump	43.4	0	134
Singapore	43.3	0	132
IBM Db2	43.3	0	132
Apple TV (device)	43.3	0	132
Windows Phone	43.3	0	132
UBS	43.3	0	132
Microsoft Mobile	43.3	0	132
Descartes Systems Group	43.3	0	132
Cultural impact of Taylor Swift	43.3	0	132
Microsoft Windows version history	43.1	0	130
Microsoft Windows	43.1	0	130
History of video games	43.1	0	130
Affordable housing	43.1	0	130
SAP Cloud Infrastructure	43.1	0	130
Linux	43.1	0	129
Executive compensation in the United States	43.1	0	129
Sleep deprivation	43.0	0	128
Virtual assistant	43.0	0	128
Hewlett-Packard	43.0	0	128
Salesforce Marketing Cloud	43.0	0	128
List of companies of the United Kingdom K–Z	43.0	0	128
Windows 11	43.0	0	128
BMW	42.8	0	126
Domestic violence	42.8	0	126
List of computer security certifications	42.8	0	126
Higher education in the United States	42.8	0	125
Climate change and insurance in the United States	42.8	0	125
Fashion	42.7	0	124
Visual Studio	42.7	0	124
Cloud computing issues	42.7	0	124
Acne	42.6	0	123
List of file formats	42.6	0	123
Personal computer	42.6	0	123
Stock market	42.6	0	122
Greenwashing	42.6	0	122
Vanta (company)	42.6	0	122
Clozapine	42.4	0	120
Mentorship	42.4	0	120
Economic history of Portugal	42.4	0	120
Microsoft SQL Server	42.4	0	120
British enterprise law	42.4	0	120
Criticism of Amazon	42.4	0	120
HPE Networking	42.4	0	120
Tax Cuts and Jobs Act	42.4	0	120
Laser-assisted drug delivery	42.4	0	120
Domestic policy of the second Trump administration	42.4	0	120
BlackBerry Limited	42.3	0	118
Women in climate change	42.3	0	118
List of automobiles notable for negative reception	42.3	0	118
PayPal	42.2	0	117
Digital rights management	42.2	0	117
Sales process engineering	42.2	0	117
Political positions of Bernie Sanders	42.2	0	117
Dementia	42.1	0	116
Monsanto	42.1	0	116
Political positions of Hillary Clinton	42.1	0	116
Health care quality	42.1	0	116
SoFi	42.1	0	116
2018 in American television	42.1	0	116
Acquisition of Twitter by Elon Musk	42.1	0	116
Microsoft Surface	42.0	0	115
Microsoft PowerPoint	42.0	0	114
Childbirth	42.0	0	114
Economic history of the United States	42.0	0	114
BBC iPlayer	42.0	0	114
Green infrastructure	42.0	0	114
Transgender	42.0	0	114
Microsoft mobile services	42.0	0	114
History of autism	42.0	0	114
Mortgage	41.9	0	113
Ford Motor Company	41.9	0	113
Password	41.8	0	112
AT&T Mobility	41.8	0	112
Humanitarian response to the 2004 Indian Ocean earthquake	41.8	0	112
Assisted reproductive technology	41.8	0	112
Sridhar Tayur	41.8	0	112
Contemporary Native American issues in the United States	41.8	0	112
Qwant	41.8	0	112
Features new to Windows Vista	41.7	0	111
Health	41.7	0	110
Ron Wyden	41.7	0	110
Climate change mitigation	41.7	0	110
List of large language models	41.7	0	110
Economy of the United States	41.6	0	109
California housing shortage	41.6	0	109
Gates Foundation	41.5	0	108
Animal testing	41.5	0	108
SharePoint	41.5	0	108
Microsoft Office 2013	41.5	0	108
History of Microsoft Exchange Server	41.5	0	108
Timeline of women's legal rights (other than voting) in the 20th century	41.5	0	108
Inflation Reduction Act	41.5	0	108
Massachusetts	41.4	0	107
Customer data platform	41.4	0	107
HBO Max	41.4	0	107
Impact of the COVID-19 pandemic on the arts and cultural heritage	41.4	0	107
Airbag	41.3	0	106
Startup company	41.3	0	106
BlackBerry	41.3	0	106
EBay	41.3	0	106
Medical ethics	41.3	0	106
Women's health	41.3	0	106
Masculinizing hormone therapy	41.3	0	106
Linux kernel	41.2	0	105
Microsoft Power BI	41.2	0	105
Kaseya	41.2	0	105
Berlin	41.2	0	104
Tokyo	41.2	0	104
Type 2 diabetes	41.2	0	104
Esports	41.2	0	104
McDonald's	41.2	0	104
Patient safety	41.2	0	104
College health	41.2	0	104
Bank	41.2	0	104
Xbox One	41.2	0	104
Smartglasses	41.2	0	104
Buy now, pay later	41.2	0	104
Twitter under Elon Musk	41.2	0	104
JetBlue	41.1	0	103
Target Corporation	41.1	0	103
Open energy system models	41.1	0	103
Timeline of women's legal rights in the United States (other than voting)	41.1	0	103
Electric car	41.0	0	102
Kinect	41.0	0	102
Atlassian	41.0	0	102
2018–2023 United Kingdom higher education strikes	41.0	0	102
2023 in the United States	41.0	0	102
University of Chicago	40.9	0	101
Bluetooth	40.8	0	100
Denial-of-service attack	40.8	0	100
Speech synthesis	40.8	0	100
The Wall Street Journal	40.8	0	100
Corporate social responsibility	40.8	0	100
Voluntary childlessness	40.8	0	100
UEFI	40.8	0	100
Health equity	40.8	0	100
List of video games notable for negative reception	40.8	0	100
Democratic Party (United States)	40.8	0	100
George Floyd protests	40.8	0	100
San Francisco	40.7	0	99
Wolters Kluwer	40.7	0	99
Dedicated hosting service	40.7	0	99
Ultra-high-definition television	40.7	0	99
Chatbot	40.6	0	98
Criticism of Microsoft	40.6	0	98
SAP HANA	40.6	0	98
Toyota Prius Plug-in Hybrid	40.6	0	97
IKEA	40.5	0	96
WarnerMedia	40.5	0	96
Business continuity planning	40.5	0	96
Bosch (company)	40.5	0	96
File system	40.5	0	96
Web 2.0	40.5	0	96
List of unit testing frameworks	40.5	0	96
Motorola Mobility	40.5	0	96
Solid-state drive	40.5	0	96
Splunk	40.5	0	96
Occupational burnout	40.5	0	96
Addiction	40.5	0	96
Actifio	40.5	0	96
Energy modeling	40.5	0	96
2021–2023 inflation surge	40.5	0	96
University of Massachusetts Boston	40.4	0	95
Bank of America	40.4	0	95
Criticism of Walmart	40.4	0	95
General Motors	40.3	0	94
Adobe Flash	40.3	0	94
Indianapolis	40.3	0	94
Biofeedback	40.3	0	94
The Coca-Cola Company	40.3	0	94
Ransomware	40.3	0	94
Timeline of women's legal rights (other than voting)	40.3	0	94
Small modular reactor	40.3	0	94
Gender bias in medical diagnosis	40.3	0	94
List of Wikipedia controversies	40.3	0	94
Twitter, Inc.	40.3	0	94
Disney+	40.3	0	94
Economy of Indianapolis	40.3	0	94
Health care systems by country	40.2	0	93
Alibaba Cloud	40.2	0	93
Cryptocurrency and crime	40.2	0	93
Fortra	40.2	0	93
GSK plc	40.1	0	92
Narendra Modi	40.1	0	92
Vehicle insurance	40.1	0	92
Opioid use disorder	40.1	0	92
Kubernetes	40.1	0	92
Fortnite Battle Royale	40.1	0	92
Citigroup	40.0	0	91
Costco	40.0	0	91
State Farm	40.0	0	91
Lockheed Martin F-35 Lightning II	39.9	0	90
Insomnia	39.9	0	90
Nursing home	39.9	0	90
Freedom of information	39.9	0	90
Cataract surgery	39.9	0	90
Job interview	39.9	0	90
Digital rhetoric	39.9	0	90
Air pollution	39.9	0	90
Nike, Inc.	39.9	0	90
Breastfeeding	39.9	0	90
Dropbox	39.9	0	90
Software-defined networking	39.9	0	90
Hillary Clinton 2016 presidential campaign	39.9	0	90
List of largest mergers and acquisitions	39.9	0	90
2019 in science	39.9	0	90
Political positions of John Delaney	39.9	0	90
Direct air capture	39.9	0	90
HarmonyOS	39.9	0	90
ShinyHunters	39.9	0	90
Circular economy	39.8	0	89
Affordable housing in Canada	39.8	0	89
Tesla Model 3	39.8	0	89
Impact of the Eras Tour	39.8	0	89
England	39.7	0	88
Postpartum depression	39.7	0	88
Lead poisoning	39.7	0	88
SD card	39.7	0	88
AARP	39.7	0	88
GoDaddy	39.7	0	88
Preventive healthcare	39.7	0	88
Tenet Healthcare	39.7	0	88
Mobile app development	39.7	0	88
Global mental health	39.7	0	88
Solar power in the United States	39.7	0	88
Security information and event management	39.7	0	88
Microplastics	39.7	0	88
Supercapacitor	39.7	0	88
Healthcare CRM	39.7	0	88
Quantinuum	39.7	0	88
Impact of the COVID-19 pandemic on the environment	39.7	0	88
Child tax credit (United States)	39.7	0	88
Stanford University	39.6	0	87
Managed care	39.6	0	87
Tesla Autopilot	39.6	0	87
AIOps	39.6	0	87
Use of assisted reproductive technology by LGBTQ people	39.6	0	87
Manhattan	39.5	0	86
HCL Notes	39.5	0	86
Fatigue	39.5	0	86
Cybercrime	39.5	0	86
Skype	39.5	0	86
Alibaba Group	39.5	0	86
Management of autism	39.5	0	86
History of Yahoo	39.5	0	86
History of Nintendo	39.5	0	86
Touchpoint	39.5	0	86
New Deal	39.5	0	86
Reception of WikiLeaks	39.5	0	86
Raspberry Pi	39.5	0	86
Gender-affirming hormone therapy	39.5	0	86
Starlink	39.5	0	86
Efforts to ban TikTok in the United States	39.5	0	86
Hedge fund	39.4	0	85
Internet Explorer	39.4	0	85
Comcast	39.4	0	85
Electric vehicle battery	39.4	0	85
Windows 10 editions	39.4	0	85
Personal and business legal affairs of Donald Trump	39.4	0	85
Infection	39.3	0	84
MSN	39.3	0	84
Seagate Technology	39.3	0	84
Energy conservation	39.3	0	84
Florida Atlantic University	39.3	0	84
MIFARE	39.3	0	84
Corporation tax in the Republic of Ireland	39.3	0	84
Minneapolis	39.3	0	84
Digital media player	39.3	0	84
Child development	39.3	0	84
Technical features new to Windows Vista	39.3	0	84
Seattle	39.3	0	84
List of scams	39.3	0	84
List of stock characters	39.3	0	84
Microsoft Silverlight version history	39.3	0	84
Energiewende	39.3	0	84
Allbirds	39.3	0	84
Webull	39.3	0	84
California	39.2	0	83
Poverty	39.2	0	83
University of Adelaide	39.2	0	83
HSBC	39.2	0	83
Veterans Health Administration	39.2	0	83
2016 in American television	39.2	0	83
Space colonization	39.1	0	82
Indian Institute of Science	39.1	0	82
Hypertension	39.1	0	82
Sustainable living	39.1	0	82
Head and neck cancer	39.1	0	82
Home Depot	39.1	0	82
Economy of Portugal	39.1	0	82
Tesla Model X	39.1	0	82
Instagram	39.1	0	82
Online hate speech	39.1	0	82
Affordable housing in the United States	39.1	0	82
Dietary supplement	39.0	0	81
Anti-spam techniques	39.0	0	81
Cruise ship	39.0	0	81
Evernote	39.0	0	81
List of websites founded before 1995	39.0	0	81
Skin care	39.0	0	81
BNY	39.0	0	81
Wells Fargo	39.0	0	81
Euro area crisis	39.0	0	81
Stephen Elop	39.0	0	81
Race and health in the United States	39.0	0	81
Robotic process automation	39.0	0	81
Online child abuse	39.0	0	81
Millennials in the United States	39.0	0	81
Medicine	38.9	0	80
Substance abuse	38.9	0	80
Millennials	38.9	0	80
Western Union	38.9	0	80
David Cameron	38.9	0	80
Psychological trauma	38.9	0	80
Software quality	38.9	0	80
Sonic the Hedgehog	38.9	0	80
Skin whitening	38.9	0	80
History of General Motors	38.9	0	80
Oocyte cryopreservation	38.9	0	80
AT&T	38.9	0	80
Cost of electricity by source	38.9	0	80
Comparison of OLAP servers	38.9	0	80
Human trafficking in the United States	38.9	0	80
Ashok Agarwal	38.9	0	80
Cognitive computer	38.9	0	80
Asus Vivo	38.9	0	80
Zettabyte Era	38.9	0	80
Disinformation attack	38.9	0	80
Google Search	35.5	204	0
Transportation Security Administration	32.9	138	0
Texas City refinery explosion	32.2	124	0
Uvalde school shooting	31.8	116	0
List of search engines	31.5	112	0
Artificial intelligence in India	31.5	112	0
Search engine optimization	31.4	110	0
Miley Cyrus	31.0	103	0
2000s	30.8	100	0
Reddit	30.8	100	0
Ariana Grande	30.5	96	0
Justin Bieber	30.0	89	0
2022 in science	30.0	89	0
Imogen Heap	29.3	80	0
MetaCarta	29.3	80	0

Content Opportunities

Articles with zero brand presence

Articles rich in Manufacturing Ops Executive's topics where none of its tracked brands are mentioned at all: the conversation is happening, and no one owns it. Each is a candidate for legitimate citations, external references, or coverage that earns a mention.

This list is often short: only the segment's most heavily matched articles are tracked, and most of those already mention at least one brand. Persona pages usually surface more.

Article	Topic Matches

Google Search	204
Transportation Security Administration	138
Texas City refinery explosion	124
Uvalde school shooting	116
List of search engines	112
Artificial intelligence in India	112
Search engine optimization	110
Miley Cyrus	103
2000s	100
Reddit	100
Ariana Grande	96
Justin Bieber	89
2022 in science	89
Imogen Heap	80
MetaCarta	80