Martech CDP Attribution Software

Demand Gen Director

Top Wikipedia Pages

Dominant · Search Engine Appearances ρ=0.316

AI recommendation signal analysis across 253 domains for the Demand Gen Director persona in Martech CDP Attribution Software.

Download this report (.xlsx)

253Domains Tracked

Demand Gen Director_persona.report

ArticleScore

Customer data platform

97.0

Salesforce

87.7

HubSpot

87.7

Online advertising

85.6

List of unicorn startup companies

85.4

Articles rankedn = 25

Want a custom AI visibility audit for Martech CDP Attribution Software?

This report tracks how AI models and search engines recommend companies across 100 industries. If you want the same analysis run specifically against your own site and competitors, get in touch.

Get in touch →

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 Demand Gen Director: distinct articles containing this segment's topic phrases, distinct articles mentioning its brand domains, and the raw match totals behind them.

2,188

Articles With Topic Matches

35K

Articles Mentioning Brands

21K

Topic Phrase Matches

424K

Brand Mentions

Wikipedia Data

Top Wikipedia articles

The articles where Demand Gen Director'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

Customer data platform	97.0	120	963
Salesforce	87.7	128	312
HubSpot	87.7	129	310
Online advertising	85.6	177	184
List of unicorn startup companies	85.4	103	290
LiveRamp	85.1	117	252
Big data	83.8	74	324
Advertising	80.9	98	180
Attentive (company)	80.8	86	200
IKEA	80.4	86	192
Dell	78.9	71	190
Customer relationship management	77.9	38	294
Google	77.7	96	127
AOL	75.9	54	171
List of mergers and acquisitions by Microsoft	75.9	102	98
SiriusDecisions	75.6	108	90
Artificial intelligence in marketing	74.8	100	88
Twitch (service)	72.3	65	96
Salesforce Marketing Cloud	72.2	46	128
List of mergers and acquisitions by Alphabet	72.2	71	88
RTB House	72.0	34	164
Shopify	71.7	41	134
Social media	71.7	70	84
Political positions of Donald Trump	71.7	78	76
Marketing mix modeling	71.5	60	94
SAS Institute	71.1	38	134
Use of X by Donald Trump	70.0	85	58
Analytics	69.8	30	142
Ziff Davis	69.4	39	108
Glossary of computer science	68.7	52	77
Customer experience	67.6	25	128
Attribution (marketing)	67.2	104	35
Zoom Communications	67.0	42	76
Acxiom	66.8	63	52
List of scams	66.2	34	84
Business.com	66.1	38	75
Newsweek	65.9	43	66
Marketing automation	65.8	48	59
Ozy Media	65.5	38	70
University of Phoenix	65.2	45	58
Comscore	65.0	28	86
Klaviyo	64.8	16	135
Enterprise content management	64.6	10	195
Sales engineering	63.6	11	160
Disinformation attack	63.6	56	40
Targeted advertising	63.2	36	56
The Trade Desk	62.8	58	35
ShinyHunters	62.6	43	45
Healthcare CRM	62.5	12	132
Marketo	62.5	48	40
Social selling	62.3	24	72
Supply chain	62.1	22	76
Personalized marketing	62.0	10	144
History of Google	61.8	51	35
Mailchimp	61.6	24	66
SurveyMonkey	61.1	45	36
Pluto TV	61.1	31	50
Climate change in Europe	59.8	28	47
SAS (software)	59.7	23	55
TiVo Corporation	59.5	23	54
NTFS	59.0	16	69
Web 2.0	58.8	24	48
EMC Corporation	58.7	29	40
ON24	58.5	30	38
Timeline of online advertising	58.5	30	38
Supermetrics	58.2	9	102
Voice-based marketing automation	58.1	15	66
Mixpanel	58.1	15	66
Call-tracking software	58.0	25	42
Software Advice	57.8	23	44
DRUM Agency	57.4	26	38
Master data management	57.3	6	126
Sales process engineering	57.3	11	78
G2 (company)	57.1	21	44
Zeta Global	57.1	38	26
Brevo	56.6	13	62
List of acquisitions by AOL	56.5	23	38
Rasmussen Reports	56.5	26	34
Demand generation	56.4	35	26
In-Q-Tel	56.1	20	41
Purchase funnel	55.8	7	94
Cirrus Insight	55.7	12	60
Economy of Indianapolis	55.7	16	47
Scott Dorsey	55.6	18	42
DealHub	55.1	11	60
LinkedIn	54.4	0	504
Internet of things	54.4	0	504
IDempiere	54.4	10	60
Mark Milley	53.8	42	16
Data center	53.5	0	456
Adobe Experience Cloud	53.5	10	54
Personalization management system	53.2	6	78
Financial risk management	51.8	0	378
Economic impact of the COVID-19 pandemic	51.6	0	366
Walmart	51.4	0	358
Microsoft	50.8	0	336
Timeline of Amazon Web Services	50.8	0	336
E-government	50.3	0	315
Plug-in electric vehicles in the United States	50.3	0	315
2023 in American television	50.0	0	304
Intuit	49.9	0	303
Computer security	49.8	0	298
List of data breaches	49.6	0	291
Plug-in hybrid	49.5	0	288
Outsourcing	49.4	0	285
Android (operating system)	49.3	0	282
Text messaging	49.0	0	272
2022 in American television	48.6	0	260
General Electric	48.4	0	255
Electric vehicle battery	48.4	0	255
Cloud computing	48.2	0	248
TikTok	48.2	0	248
McKinsey & Company	47.9	0	240
Domestic policy of the second Trump administration	47.9	0	240
Novell	47.7	0	234
Applications of artificial intelligence	47.7	0	234
SoFi	47.6	0	232
Smartphone	47.3	0	225
Automation	47.3	0	225
List of TCP and UDP port numbers	47.3	0	225
2025 in the United States	47.3	0	224
Internet privacy	47.2	0	222
Huawei	47.0	0	216
Founders Fund	47.0	0	216
2019 in American television	47.0	0	216
Inflation Reduction Act	47.0	0	216
HBO Max	46.9	0	214
2020s	46.8	0	212
Amazon (company)	46.8	0	212
Corporate responses to the Russian invasion of Ukraine	46.8	0	212
JetBlue	46.6	0	206
Open energy system models	46.6	0	206
Virginia Commonwealth University	46.5	0	204
Peter Thiel	46.5	0	204
Generation Z	46.4	0	202
San Francisco	46.2	0	198
CHIPS and Science Act	46.2	0	198
Generative AI	46.2	0	198
Supply chain management	45.9	0	190
Adobe Inc.	45.8	0	189
Economic impact of the COVID-19 pandemic in the United States	45.7	0	186
List of datasets for machine-learning research	45.6	0	184
Steward Health Care	45.5	0	182
Tesla, Inc.	45.3	0	179
Remote work	45.3	0	178
Intel	45.2	0	176
SD-WAN	45.2	0	176
Microsoft Dynamics 365	45.2	0	176
Six Flags	44.8	0	168
List of Dragons' Den (British TV programme) offers Series 11-20	44.7	0	166
Bain Capital	44.6	0	165
Insurance	44.6	0	164
Science and technology in Israel	44.6	0	164
Microsoft Azure	44.6	0	164
Lenovo	44.5	0	162
Pinterest	44.5	0	162
Millennials in the United States	44.5	0	162
Consumer-to-business	44.4	0	160
List of retailers affected by the retail apocalypse	44.3	0	158
BYD Auto	44.2	0	157
Starbucks	44.2	0	156
Workday, Inc.	44.2	0	156
Block, Inc.	44.2	0	156
Rivian	44.2	0	156
Tebra	44.2	0	156
Fortra	44.1	0	155
History of virtual learning environments	44.0	0	154
Yelp	44.0	0	153
Renault	43.9	0	152
Unemployment in the United States	43.9	0	152
2024 in science	43.9	0	152
One Big Beautiful Bill Act	43.9	0	152
Kroger	43.8	0	150
Elon Musk	43.8	0	150
T-Mobile US	43.8	0	149
Burson (company)	43.6	0	147
Glenn Youngkin	43.6	0	146
Visa Inc.	43.5	0	144
VistA	43.5	0	144
PBS	43.5	0	144
Longest flights	43.5	0	144
Juul	43.5	0	144
Uniphore	43.5	0	144
FuboTV	43.3	0	142
Purdue University Global	43.3	0	142
Gig worker	43.3	0	142
Adobe Flash	43.3	0	141
2015 in American television	43.2	0	140
Ireland as a tax haven	43.2	0	140
Stephen Ehikian	43.2	0	140
History of Microsoft	43.1	0	138
Amazon Prime	43.1	0	138
Enterprise resource planning	43.0	0	137
Sony	43.0	0	136
Fukushima nuclear accident	42.9	0	135
2008 financial crisis	42.9	0	135
2020s in fashion	42.9	0	135
Palantir	42.8	0	134
Toyota	42.7	0	132
Albertsons	42.7	0	132
DELMIA	42.7	0	132
Reddit	42.7	0	132
SolarWinds	42.7	0	132
UBS	42.7	0	132
Fourth Industrial Revolution	42.7	0	132
Ultra-high-definition television	42.7	0	132
Josh Gottheimer	42.7	0	132
Great Resignation	42.7	0	132
Zero-energy building	42.6	0	131
Entrepreneurs Roundtable Accelerator	42.6	0	130
Skype	42.5	0	129
Self-driving truck	42.5	0	129
Nintendo	42.4	0	128
BlackRock	42.4	0	128
Business action on climate change	42.4	0	128
NRG Energy	42.4	0	128
Double Irish arrangement	42.4	0	128
List of S&P 500 companies	42.3	0	126
MGM+	42.3	0	126
Panasonic	42.2	0	124
Saudi Arabia	42.2	0	124
Robert F. Kennedy Jr.	42.2	0	124
List of Georgetown University alumni	42.2	0	124
Complex Networks	42.2	0	124
Cloud computing issues	42.2	0	124
Data center management	42.2	0	124
MC Hammer	42.1	0	123
Univision	42.0	0	122
Economic history of Portugal	41.9	0	120
Enterprise feedback management	41.9	0	120
5G	41.9	0	120
Microsoft 365	41.9	0	120
AdventHealth	41.8	0	119
VMware	41.7	0	118
Pacific Gas and Electric Company	41.7	0	118
Thomson Reuters	41.7	0	118
Phishing	41.7	0	117
Digital rights management	41.7	0	117
Antidepressant	41.6	0	116
Miami	41.6	0	116
2018 in American television	41.6	0	116
Acquisition of Twitter by Elon Musk	41.6	0	116
2023 in science	41.5	0	115
Second presidency of Donald Trump	41.5	0	115
Arizona State University	41.4	0	114
Monopoly (game)	41.4	0	114
University of Arizona Global Campus	41.4	0	114
Sapio Sciences	41.4	0	114
Sapphire Ventures	41.4	0	114
Peacock (streaming service)	41.4	0	114
2021 in American television	41.4	0	114
Ericsson	41.3	0	112
San Jose, California	41.3	0	112
Sridhar Tayur	41.3	0	112
China–Pakistan Economic Corridor	41.3	0	112
Alexandria Ocasio-Cortez	41.3	0	112
Generation Z in the United States	41.3	0	112
USA Today	41.2	0	111
Hybrid electric vehicle	41.2	0	111
Transgender rights in the United States	41.2	0	111
California housing shortage	41.0	0	109
Bill Gates	41.0	0	108
The Church of Jesus Christ of Latter-day Saints	41.0	0	108
University of Florida	41.0	0	108
Education in the United States	41.0	0	108
Gates Foundation	41.0	0	108
Teradata	41.0	0	108
World Economic Forum	41.0	0	108
Consumer Reports	41.0	0	108
The Cigna Group	41.0	0	108
Amazon Web Services	41.0	0	108
Adobe Flash Player	41.0	0	108
Integrated reporting	41.0	0	108
Stephen Elop	41.0	0	108
Taboola	41.0	0	108
Chevrolet Silverado	40.9	0	107
Massachusetts	40.9	0	107
Cloudflare	40.8	0	106
Extended-range electric vehicle	40.8	0	106
Timeline of investigations into Donald Trump and Russia (January–June 2018)	40.8	0	106
Utah State University	40.7	0	105
Tablet computer	40.7	0	105
Digital Millennium Copyright Act	40.7	0	105
Arm Holdings	40.7	0	105
2025 in American television	40.7	0	105
Nordstrom	40.6	0	104
Sears	40.6	0	104
Suzuki	40.6	0	104
Political positions of Ron Paul	40.6	0	104
Smart city	40.6	0	104
Xbox One	40.6	0	104
XPeng	40.6	0	104
Coupang	40.6	0	104
Twitter under Elon Musk	40.6	0	104
Wearable technology	40.6	0	103
History of Facebook	40.6	0	103
Environmental policy of the Biden administration	40.6	0	103
Malware	40.5	0	102
Greensboro, North Carolina	40.5	0	102
Howard University	40.5	0	102
Electric car	40.5	0	102
IPv6 deployment	40.5	0	102
Great Recession	40.5	0	102
Social media marketing	40.5	0	102
Kinect	40.5	0	102
2012 in American television	40.5	0	102
Financial technology	40.5	0	102
History of Sega	40.5	0	102
Tax returns of Donald Trump	40.5	0	102
Deel, Inc.	40.5	0	102
Information security	40.4	0	101
Georgetown University	40.4	0	101
Denial-of-service attack	40.3	0	100
Pickup truck	40.3	0	100
The Wall Street Journal	40.3	0	100
Extract, transform, load	40.3	0	100
Christopher Cox	40.3	0	100
Carsharing	40.3	0	100
Democratic Party (United States)	40.3	0	100
History of tablet computers	40.3	0	100
Rocket Software	40.3	0	100
Industrial internet of things	40.3	0	100
IBM Cloud	40.3	0	100
Department of Government Efficiency	40.3	0	100
MS NOW	40.2	0	99
Usage share of operating systems	40.2	0	99
Graph database	40.2	0	99
Criticism of Microsoft	40.1	0	98
LGBTQ rights in the United States	40.1	0	98
Political positions of Mitt Romney	40.1	0	98
BYD K series	40.1	0	98
Timeline of the San Francisco Bay Area	40.1	0	98
Diversity, equity, and inclusion	40.1	0	98
2024 in the United States	40.1	0	98
Private equity	40.0	0	97
OpenAI	40.0	0	97
Political positions of Susan Collins	40.0	0	97
McAfee	39.9	0	96
ING Group	39.9	0	96
Chris Brown	39.9	0	96
Allianz	39.9	0	96
Flint water crisis	39.9	0	96
Nvidia	39.9	0	95
Educational technology	39.9	0	95
Electric car use by country	39.9	0	95
IBM	39.9	0	95
Earth Day	39.8	0	94
Six Flags (1961–2024)	39.8	0	94
Product recall	39.8	0	94
Wachovia	39.8	0	94
Technological unemployment	39.8	0	94
Twitter, Inc.	39.8	0	94
Climate change in Turkey	39.8	0	94
Disney+	39.8	0	94
List of S&P 600 companies	39.8	0	94
January 6th Committee	39.8	0	94
California Institute of Technology	39.7	0	93
Antivirus software	39.7	0	93
Gavin Newsom	39.7	0	93
8x8	39.7	0	93
X (social network)	39.7	0	93
Economic policy of the first Trump administration	39.7	0	93
COVID-19 pandemic	39.7	0	93
2025 in science	39.7	0	93
Mobile marketing	39.6	0	92
Digital economy	39.6	0	92
Workfront	39.6	0	92
BYD e6	39.6	0	92
Symbian	39.6	0	92
Kubernetes	39.6	0	92
Citigroup	39.5	0	91
University of Oklahoma	39.5	0	91
Costco	39.5	0	91
Governorship of Wes Moore	39.5	0	91
Economy of Italy	39.4	0	90
Mitre Corporation	39.4	0	90
Seattle metropolitan area	39.4	0	90
Cumulus Media	39.4	0	90
Economy of India	39.4	0	90
Job interview	39.4	0	90
United States	39.4	0	90
Windows 8	39.4	0	90
List of largest mergers and acquisitions	39.4	0	90
Amazon Alexa	39.4	0	90
Jeep Wrangler (JL)	39.4	0	90
Paramount Global	39.4	0	90
Agenda 47	39.4	0	90
Circular economy	39.3	0	89
2020 notable events in American television	39.3	0	89
Impact of the Eras Tour	39.3	0	89
History of Wikipedia	39.2	0	88
University of California, Davis	39.2	0	88
Nickelodeon	39.2	0	88
Windows Phone	39.2	0	88
Vehicle insurance in the United States	39.2	0	88
Digital divide in the United States	39.2	0	88
Political positions of Elizabeth Warren	39.2	0	88
List of commercial video games with later released source code	39.2	0	88
Descartes Systems Group	39.2	0	88
Stanford University	39.1	0	87
Volkswagen	39.1	0	87
Virginia Tech	39.1	0	87
List of University of Pennsylvania people	39.1	0	87
Microsoft Office 2007	39.1	0	87
Plug-in electric vehicle	39.1	0	87
Absolute Security	39.1	0	87
Tesla Autopilot	39.1	0	87
Presidency of Joe Biden	39.1	0	87
Economic policy of the Biden administration	39.1	0	87
Blu-ray	39.0	0	86
Touchpoint	39.0	0	86
Economy of Ohio	39.0	0	86
Unity Technologies	39.0	0	86
Starlink	39.0	0	86
2020 in American television	39.0	0	86
Efforts to ban TikTok in the United States	39.0	0	86
January–March 2023 in science	39.0	0	86
Hedge fund	38.9	0	85
Washington Mutual	38.9	0	85
Criticism of Google	38.9	0	85
MHealth	38.9	0	85
Personal and business legal affairs of Donald Trump	38.9	0	85
CARES Act	38.9	0	85
Natural gas	38.8	0	84
Ohio State University	38.8	0	84
MSN	38.8	0	84
E-services	38.8	0	84
Firefox	38.8	0	84
Detroit Metropolitan Airport	38.8	0	84
Florida Atlantic University	38.8	0	84
Melania Trump	38.8	0	84
Corporation tax in the Republic of Ireland	38.8	0	84
Minneapolis	38.8	0	84
Nikki Haley	38.8	0	84
List of television series canceled before airing an episode	38.8	0	84
List of acquisitions by Sony	38.8	0	84
Twilio	38.8	0	84
David Perdue	38.8	0	84
Political positions of Tulsi Gabbard	38.8	0	84
Pfizer–BioNTech COVID-19 vaccine	38.8	0	84
2022–2026 video game industry layoffs	38.8	0	84
Portland, Oregon	38.7	0	83
Higher education bubble in the United States	38.7	0	83
2016 in American television	38.7	0	83
Timeline of the COVID-19 pandemic in the United States (2020)	38.7	0	83
Domestic policy of the first Trump administration	38.7	0	83
Virginia	38.6	0	82
San Antonio	38.6	0	82
ESPN	38.6	0	82
List of file formats	38.6	0	82
Discovery, Inc.	38.6	0	82
Airbus A350	38.6	0	82
Toyota Tundra	38.6	0	82
Wikipedia	38.6	0	82
Personal computer	38.6	0	82
Economy of Portugal	38.6	0	82
Spotify	38.6	0	82
JB Pritzker	38.6	0	82
Charlie Kirk	38.6	0	82
Thiel Capital	38.6	0	82
List of common misconceptions about science, technology, and mathematics	38.6	0	82
Economy of Iran	38.5	0	81
Hispanic and Latino Americans	38.5	0	81
Wells Fargo	38.5	0	81
Causes of the Great Recession	38.5	0	81
Premiership of Jason Kenney	38.5	0	81
Regulation of artificial intelligence	38.5	0	81
Supercomputer	38.4	0	80
M1 Abrams	38.4	0	80
Millennials	38.4	0	80
Television in the United States	38.4	0	80
Software quality	38.4	0	80
List of Vanderbilt University people	38.4	0	80
Municipal wireless network	38.4	0	80
660 Fifth Avenue	38.4	0	80
Microsoft SQL Server	38.4	0	80
Tencent	38.4	0	80
AT&T	38.4	0	80
Zynga	38.4	0	80
HPE Networking	38.4	0	80
Cryptocurrency	38.4	0	80
US federal agencies targeted by DOGE	38.4	0	80
Atlanta	38.3	0	79
Patent	38.2	0	78
Software patent	38.2	0	78
Malaysia Airlines	38.2	0	78
Chicago (band)	38.2	0	78
Chipotle Mexican Grill	38.2	0	78
ADP (company)	38.2	0	78
History of artificial intelligence	38.2	0	78
Comparison of operating system kernels	38.2	0	78
Marilyn Monroe in popular culture	38.2	0	78
Criticism of Facebook	38.2	0	78
Joe Mohen	38.2	0	78
Google Nest	38.2	0	78
Zendesk	38.2	0	78
Ring (company)	38.2	0	78
Metascience	38.2	0	78
Charli D'Amelio	38.2	0	78
Impact of the COVID-19 pandemic on science and technology	38.2	0	78
Audi	38.0	0	77
United States Postal Service	38.0	0	77
Carillion	38.0	0	77
Paris Hilton	38.0	0	77
Automotive industry in the United States	38.0	0	77
Racial achievement gap in the United States	38.0	0	77
Paramount+	38.0	0	77
Microsoft PowerPoint	37.9	0	76
The Carlyle Group	37.9	0	76
Luxury goods	37.9	0	76
Windows Mobile	37.9	0	76
American InterContinental University	37.9	0	76
The Interpublic Group of Companies	37.9	0	76
John Fetterman	37.9	0	76
Employee turnover	37.9	0	76
NXP Semiconductors	37.9	0	76
Automotive industry in China	37.9	0	76
Microsoft mobile services	37.9	0	76
Parables TV	37.9	0	76
Aladdin (BlackRock)	37.9	0	76
Snap Inc.	37.9	0	76
Francis Suarez	37.9	0	76
Timeline of LGBTQ history, 21st century	37.9	0	76
AI boom	37.9	0	76
Foreign policy of the second Trump administration	37.9	0	76
Agentic commerce	37.9	0	76
Loyalty program	37.8	0	75
Microsoft Outlook	37.8	0	75
University of Illinois Urbana-Champaign	37.8	0	75
Florida International University	37.8	0	75
Omnicom Group	37.8	0	75
Investment management	37.8	0	75
Barstool Sports	37.8	0	75
Affirm Holdings	37.8	0	75
COVID-19 misinformation	37.8	0	75
Document360	37.8	0	75
George Mason University	37.7	0	74
Nolan Bushnell	37.7	0	74
Chief financial officer	37.7	0	74
Cher	37.7	0	74
Balance sheet	37.7	0	74
Toys "R" Us	37.7	0	74
Rolls-Royce Phantom VII	37.7	0	74
Hulu	37.7	0	74
The Trump Organization	37.7	0	74
Contract lifecycle management	37.7	0	74
AV1	37.7	0	74
Algorithmic bias	37.7	0	74
Targeting of political opponents and civil society under the second Trump administration	37.7	0	74
Science and technology in Jamaica	37.6	0	73
American Express	37.6	0	73
Kanye West	37.6	0	73
History of virtual learning environments in the 1990s	37.6	0	73
Privacy concerns with social networking services	37.6	0	73
Deficit reduction in the United States	37.6	0	73
2022 in the United States	37.6	0	73
Artificial intelligence industry in the United Kingdom	37.6	0	73
Bosnia and Herzegovina	37.5	0	72
Acer Inc.	37.5	0	72
Blackwater (company)	37.5	0	72
3D printing	37.5	0	72
Sephora	37.5	0	72
List of unit testing frameworks	37.5	0	72
Iranian Americans	37.5	0	72
Gal Gadot	37.5	0	72
Lincoln MKZ	37.5	0	72
OutSystems	37.5	0	72
Microsoft Office 2010	37.5	0	72
Thermo Fisher Scientific	37.5	0	72
GitHub	37.5	0	72
BuzzFeed	37.5	0	72
Trex Company, Inc.	37.5	0	72
List of tallest buildings in North Carolina	37.5	0	72
Gametime	37.5	0	72
Mental health during the COVID-19 pandemic	37.5	0	72
AI safety	37.5	0	72
Gaza Strip famine	37.5	0	72
Quark Publishing Platform NextGen	37.5	0	72
PdfFiller	37.5	0	72
California State University, Northridge	37.3	0	71
Verifone	37.3	0	71
History of YouTube	37.3	0	71
Millennial economics	37.3	0	71
List of 2020s Super Bowl commercials	37.3	0	71
Nashville, Tennessee	37.2	0	70
Windows 2000	37.2	0	70
Investment banking	37.2	0	70
Product placement	37.2	0	70
California State University, San Marcos	37.2	0	70
Capital One	37.2	0	70
UnitedHealth Group	37.2	0	70
Gary Gensler	37.2	0	70
SiriusXM	37.2	0	70
International SOS	37.2	0	70
Business models for open-source software	37.2	0	70
Precisely (company)	37.2	0	70
Procter & Gamble	37.2	0	70
Youth unemployment	37.2	0	70
Timeline of X	37.2	0	70
List of people and organizations sanctioned during the Russo-Ukrainian war	37.2	0	70
Peloton Interactive	37.2	0	70
Boost Mobile	37.2	0	70
Warren Buffett	37.1	0	69
Pricing	37.1	0	69
University of Oregon	37.1	0	69
A&W Restaurants	37.1	0	69
Facial recognition system	37.1	0	69
Airbus A220	37.1	0	69
Gretchen Whitmer	37.1	0	69
The Knot Worldwide	37.1	0	69
Telecommunications	37.1	0	69
Microsoft Surface	37.1	0	69
2013 in American television	37.1	0	69
Cloud printing	37.1	0	69
Artificial intelligence	37.0	0	68
Holyoke, Massachusetts	37.0	0	68
Tampa International Airport	37.0	0	68
Starwood Hotels and Resorts	37.0	0	68
Temasek Holdings	37.0	0	68
MetLife	37.0	0	68
John Bolton	37.0	0	68
Fiserv	37.0	0	68
Mark Zuckerberg	37.0	0	68
Edge computing	37.0	0	68
Discover Financial	37.0	0	68
Verizon	37.0	0	68
Kim Kardashian	37.0	0	68
Data virtualization	37.0	0	68
Plug-in electric vehicles in Norway	37.0	0	68
Cyber threat intelligence	37.0	0	68
Digital agriculture	37.0	0	68
Dexcom CGM	37.0	0	68
Proposed acquisition of Warner Bros. Discovery by Paramount Skydance	37.0	0	68
Ximena Lincolao	37.0	0	68
Federal Reserve	36.8	0	67
Kmart	36.8	0	67
SMBC Group	36.8	0	67
Marriott International	36.8	0	67
SES (company)	36.8	0	67
Donald Trump	36.8	0	67
Egypt	36.8	0	67
Electric vehicle charging network	36.8	0	67
Economy of Israel	36.7	0	66
Speech recognition	36.7	0	66
Baby boomers	36.7	0	66
Olivia Newton-John	36.7	0	66
Hilton Worldwide	36.7	0	66
Sports Illustrated	36.7	0	66
Santa Clara University	36.7	0	66
List of federal political scandals in the United States	36.7	0	66
List of Microsoft codenames	36.7	0	66
Windows Vista	36.7	0	66
Carbon offsets and credits	36.7	0	66
Super Bowl commercials	36.7	0	66
Hakeem Jeffries	36.7	0	66
DirecTV	36.7	0	66
Amazon Kindle	36.7	0	66
History of private equity and venture capital	36.7	0	66
Microsoft Mobile	36.7	0	66
Cardi B	36.7	0	66
Over-the-top media services in India	36.7	0	66
COVID-19 pandemic in Australia	36.7	0	66
Barbie (film)	36.7	0	66
List of large language models	36.7	0	66
Cultural impact of Taylor Swift	36.7	0	66
Zilch (company)	36.7	0	66
KLM	36.6	0	65
Michael Bloomberg	36.6	0	65
Cisco	36.6	0	65
Pfizer	36.6	0	65
Dubai International Airport	36.6	0	65
Affordable housing	36.6	0	65
The CW	36.6	0	65
SAP Cloud Infrastructure	36.6	0	65
2024 United States presidential election	36.6	0	65
Hydroponics	36.5	0	64
Recession	36.5	0	64
ARM architecture family	36.5	0	64
Joe Biden	36.5	0	64
Turkish Airlines	36.5	0	64
Business intelligence	36.5	0	64
Radio-frequency identification	36.5	0	64
SAP	36.5	0	64
China–United States relations	36.5	0	64
Adult Swim	36.5	0	64
Mike Pence	36.5	0	64
KKR & Co.	36.5	0	64
Publicis Sapient	36.5	0	64
Gisele Bündchen	36.5	0	64
History of the electric vehicle	36.5	0	64
NFL on American television	36.5	0	64
Cold calling	36.5	0	64
Guns N' Roses	36.5	0	64
Motorola Mobility	36.5	0	64
Quad (company)	36.5	0	64
HTTP cookie	36.5	0	64
Tesla Roadster (first generation)	36.5	0	64
Chris Christie	36.5	0	64
Newegg	36.5	0	64
Ford Sync	36.5	0	64
Internet fraud prevention	36.5	0	64
Textile industry in Bangladesh	36.5	0	64
Hewlett-Packard	36.5	0	64
Solar power in California	36.5	0	64
Segal (company)	36.5	0	64
Phoenix Coyotes bankruptcy and sale	36.5	0	64
Vox Media	36.5	0	64
Tinder (app)	36.5	0	64
Causes of unemployment in the United States	36.5	0	64
Big Tech	36.5	0	64
Apple TV (streaming service)	36.5	0	64
Economy of the United Kingdom	36.3	0	63
Logan International Airport	36.3	0	63
Mark Pincus	36.3	0	63
Graham Holdings	36.3	0	63
Blackstone Inc.	36.3	0	63
Open educational resources	36.3	0	63
Racism in the United States	36.3	0	63
Renewable energy in the United States	36.3	0	63
Change management	36.3	0	63
Netcracker Technology	36.3	0	63
Microsoft Power BI	36.3	0	63
Political positions of Kamala Harris	36.3	0	63
Airline	36.2	0	62
Rush Limbaugh	36.2	0	62
Belgrade	36.2	0	62
Chicago Tribune	36.2	0	62
PCI Express	36.2	0	62
Serena Williams	36.2	0	62
Kelly Rowland	36.2	0	62
USA Today Co.	36.2	0	62
TotalEnergies	36.2	0	62
Skype Technologies	36.2	0	62
Tim Walz	36.2	0	62
NEC Software Solutions	36.2	0	62
Big Ten Network	36.2	0	62
Visual Studio	36.2	0	62
Information technology in India	36.2	0	62
Connected car	36.2	0	62
Video games in the United States	36.2	0	62
Gender pay gap	36.2	0	62
Specialty drugs in the United States	36.2	0	62
Corporate debt bubble	36.2	0	62
2021 in the United States	36.2	0	62
John Textor	36.2	0	62
Collapse of Silicon Valley Bank	36.2	0	62
College rugby in the United States	36.2	0	62
Simulation	36.0	0	61
Frontier Airlines	36.0	0	61
SoftBank Group	36.0	0	61
Eli Lilly and Company	36.0	0	61
Immigrant health care in the United States	36.0	0	61
Photovoltaic power station	36.0	0	61
Michelle Wu	36.0	0	61
Windows 10	36.0	0	61
Angela Alsobrooks	36.0	0	61
List of lawsuits involving Tesla, Inc.	36.0	0	61
Acquisition of Time Warner by AT&T	36.0	0	61
List of 2010s Super Bowl commercials	36.0	0	61
Montevideo	35.9	0	60
Aviation	35.9	0	60
Financial economics	35.9	0	60
Jeff Bezos	35.9	0	60
Internet censorship in China	35.9	0	60
US Airways	35.9	0	60
Bernie Sanders	35.9	0	60
UniMás	35.9	0	60
List of chief executive officers	35.9	0	60
Andrew Cuomo	35.9	0	60
Uber	35.9	0	60
GE Capital	35.9	0	60
GE HealthCare	35.9	0	60
Kaplan, Inc.	35.9	0	60
Dun & Bradstreet	35.9	0	60
Green computing	35.9	0	60
Shakira	35.9	0	60
AKB48	35.9	0	60
List of Georgia Institute of Technology alumni	35.9	0	60
Privacy-enhancing technologies	35.9	0	60
Africa–China relations	35.9	0	60
Louis Dubin	35.9	0	60
Transportation in South Florida	35.9	0	60
Iran nuclear deal	35.9	0	60
Larry Hogan	35.9	0	60
Interactive Brokers	35.9	0	60
Mike Johnson	35.9	0	60
Vivek Ramaswamy	35.9	0	60
Economics of bitcoin	35.9	0	60
Synthetic media	35.9	0	60
Project 2025	35.9	0	60
Communications in Iran	35.8	0	59
Washington, D.C.	35.8	0	59
American International Group	35.8	0	59
AMC Theatres	35.8	0	59
Janet Yellen	35.8	0	59
Tim Kaine	35.8	0	59
Anime-influenced animation	35.8	0	59
Kid Cudi	35.8	0	59
Rooftop solar power	35.8	0	59
Civic technology	35.8	0	59
Virtual reality applications	35.8	0	59
History of Amazon	35.8	0	59
2019 in the United States	35.8	0	59
Enron	35.6	0	58
National Mall	35.6	0	58
Phil McGraw	35.6	0	58
DynCorp	35.6	0	58
Fergie (singer)	35.6	0	58
Bates College	35.6	0	58
Cancún International Airport	35.6	0	58
Automatic identification system	35.6	0	58
Henkel	35.6	0	58
SpongeBob SquarePants	35.6	0	58
Apollo Education Group	35.6	0	58
Teva Pharmaceuticals	35.6	0	58
Efficient energy use	35.6	0	58
Women in the workforce	35.6	0	58
Proprietary software	35.6	0	58
Kendall Jenner	35.6	0	58
Data monetization	35.6	0	58
Michael Harris (public policy scholar)	35.6	0	58
Google Ads	34.6	87	0
Reactions to the death of Elizabeth II	34.4	85	0
Social policy of the first Trump administration	34.3	84	0
Meta Platforms	32.9	70	0
Narendra Modi	32.7	68	0
Philippines	32.1	63	0
List of political scientists	31.9	61	0
Sarah Palin	31.7	60	0

Content Opportunities

Articles with zero brand presence

Articles rich in Demand Gen Director'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 Ads	87
Reactions to the death of Elizabeth II	85
Social policy of the first Trump administration	84
Meta Platforms	70
Narendra Modi	68
Philippines	63
List of political scientists	61
Sarah Palin	60