We are proud to present our list of 101 women with remarkable achievements in AI.
This list results from several months of curation, research, reading, and analysis of nearly 500 profiles of women working at the intersection of AI and Marketing.
Its goal?
To provide anyone eager to understand and experience the emerging discipline of AI Marketing with direct, dense, and precise access to a selection of women with exceptional skills and accomplishments in this field.
This list was designed primarily as a resource for AI Marketing, not as another Sunday Times Rich List, and certainly not as a ranking.
We used several tools to refine this list (see the methodology section with the technologies listed below). However, we created this list naturally with 100% manual human effort and daily curation.
The human curation began with a small group of friends, all marketing professionals, who, at the time of the release of ChatGPT in November 2022, realized that their profession would never be the same. They wanted to train themselves—as is often the case when faced with disruptions of such magnitude—by following other women they could identify with, reading their content, analyzing their discoveries, and drawing inspiration from their achievements.
Essentially, the group set out to learn and understand by following and learning from their peers.
That's how this community was born.
It is also what motivated the creation of this content.
We hope you’ll find it useful.
Why Create a List (Exclusively) of Women in AI Marketing?
This exclusively female list is not driven by militant or activist feminism.
However, our goal in creating it is to shed light on the ongoing transformation from a less male-dominated perspective and to address an imbalance in a field where men often hold a predominant position that is not always legitimate or justified.
Thousands of remarkable women do incredible work in AI, yet they are often overlooked. We want to shine a spotlight on them.
Additionally, this list aims to counter the sometimes shocking biases of these large language models (LLMs), which are trained on data that, unfortunately, too often includes exclusively older white males of a certain profile.
This is not acceptable, and we believe it is possible to address this issue.
That’s why we used ChatGPT to test and validate our research and created, alongside this list, a freely accessible GPT linked to these 101 women in AI Marketing.
Why Women in AI Marketing?
AI Marketing is a new discipline... and it's here to stay. In a few years (months?), marketing will simply be AI—or it won't exist anymore.
However, the shadow cast over women in AI Marketing is even darker than that over women in Deep Tech. Yet, right now, exceptional women are reinventing their profession as marketers through the lens of AI every day.
They take risks in their jobs (we know how difficult it is to be the one proposing innovation to their teams) to test and integrate AI among their team's tools stack. Thanks to AI, they adapt offerings, improve productivity and creativity, and bring real innovation to their companies... but sometimes at the cost of revenue drops or even job loss!
These women are true "centurions" (is it just another coincidence that this word has no feminine form?).
Through their resilience, risk-taking, and vision, they all contribute to redefining the boundaries of the marketing discipline as it has functioned for the past 25 years. Every day, they work behind the scenes, rarely with anyone applauding, to foster the emergence of a new marketing era: AI Marketing.
This list is about them.
Why 101?
Since the advent of Chat GPT, the entire internet has been reinvented. Generative AI is causing upheavals, especially in marketing, unlike anything seen in at least 25 years.
Every marketer must rethink their profession through the lens of AI.
In a way, all of us marketers are back to school and need to review our most basic marketing knowledge in light of this new theme.
The number 101, which means 'learning the basics,' was chosen to emphasize the need to stay humble as our professions change dramatically.
Methodology
Our Selection Criteria
The Predominant Criterion
An action by the woman in a domain intersecting marketing and AI (both combined) which has led to the development of authority and an audience (or community) whether large, niche, or even tiny around this theme, intending to spark high-value conversations.
Other Criteria Considered
Woman: Only profiles of women were analyzed (see our explanations in the ‘Why a list of women’ section).
Action: Only women who, in the last 18 months, have undertaken at least one concrete action integrating AI in any marketing field. The action in question must have been value-adding.
Examples of value-adding actions include regular content curation on the AI + Marketing theme, creation of a specific product (advertisement, technology, digital content, etc.), creation of a particular service (club, community, event, etc.), an initiative for creating specific content (newsletter, forum, event, community, series of social media posts), etc.
Domain: Only content that cumulatively intersects AI and Marketing was considered, not just one or the other.
Platform: All social networks (LinkedIn, X, Facebook, Instagram, YouTube, TikTok, and blogs) were considered using suitable technologies (see methodology).
Language & Country: Priority was given to two languages, English and French, even though a “borderless” geographic approach is in place.
Criteria Not Considered
Audience Volume: We included women with audiences ranging from 2,000 to millions of followers as long as the above criteria were met. Small is the new big, and we love small!
Social Media Presence: We did not seek women who are specifically active on multiple platforms. As long as they were active on at least one platform, they were included in our selection.
Content Domain: The action's domain must be at the intersection of AI and Marketing. Profiles that address AI in its tech dimension only are not included. Similarly, profiles that focus solely on marketing without mentioning or undertaking specific initiatives related to AI are not included either.
Technologies we used:
Sparktoro: to analyze audiences around AI Marketing.
ChatGPT, Claude, and Gemini Advanced to review the content. Mid-journey for Design.
Findings and Insights about AI Marketing
By analyzing nearly 500 identified profiles and sorting them according to the criteria presented above, we have been able to:
1. Identify Archetypes, and groupings of influential individuals based on key and shared characteristics.
Archetypes are customizable and, in this case, adapted to the mission of this list. They allow us to go beyond just the number of followers and consider aspects such as professions, the angle of the conversation, the role of the influencer in a conversation, the type of content created, the volume of content on a given topic, how they like to engage, and which KPIs to link them to.
2. Observe a Marketing Discipline in Transformation and the emergence of new marketing categories:
AI Marketing is a business reality. The traditional components of marketing are experiencing structural transformation. As a result, new job titles are appearing.
The new marketing jobs emerging from AI Marketing
1. The marketing discipline, significantly impacted by AI—especially generative AI—is undergoing profound changes. This big change is creating a new field that transcends the marketing function and goes beyond traditional marketing: AI Marketing.
Since November 2022, the boundaries of this new discipline, in terms of both the nature of the work and the vocabulary used to describe it, have been evolving almost daily. Marketing jobs are changing in nature, and their names are changing as well.
Until now, traditional marketing comprised (roughly) the following sub-domains/categories:
Advertising
Analytics (data analysis)
Communication & Public Relations
Content Marketing
Customer Service & Experience
E-commerce
Email Marketing
Sales
SEO
Social Media Marketing & Influence
2. Based on existing and recognized frameworks such as the marketing funnel and the PESO model, as well as roles, jobs, and required skills, we reorganize marketing into the following seven categories:
Marketing Intelligence:
This term refers to the process of collecting, analyzing, and interpreting data related to marketing activities, markets, and consumer behaviors. It includes everything that is analytics, data and insights, performance measurement, research and monitoring, predictive modeling, ethics, and data protection. This information informs strategic decision-making within marketing activities.
Customer Acquisition (off-website metrics: leads, CAC):
This category refers to all activities aimed at attracting and capturing the interest of a highly targeted audience. It encompasses Account-Based Marketing (ABM), most lead generation, demand generation, growth marketing, product marketing, performance marketing, programmatic advertising, partnerships, and affiliate programs. These off-site activities aim to generate highly qualified leads.
Customer Experience (on-website metrics: sales, retention, CLTV):
This expression includes all activities designed to optimize customer interactions across touchpoints, increase sales, and build customer loyalty. From conversational commerce to personalization and customer relations, it includes websites, CRM, emailing, chatbots and AI assistants, e-commerce, omnichannel customer service, customer data platforms (CDP), and everything related to marketing technologies and automation.
Content Strategy (Owned media - metrics: subscriptions, CTR):
This appellation encompasses all activities related to content marketing. It includes audience research, strategy development, planning, content creation in all types and formats, writing, distribution, and promotion. The goal is to add value at every stage of the customer journey by producing and distributing relevant, useful, and regular content to attract and retain clearly defined audiences.
Brand & Creative (Owned media - metrics: impressions, brand awareness):
This category includes many traditional marketing activities associated with Brand Building. Related to the construction, development, and promotion of the company, this category includes brand strategy, advertising, design and creativity, communication and public relations, messaging and storytelling, gamification, and immersive experiences. The goal is to create a strong and positive perception of the company in the minds of target audiences.
Social & Community (Earned & Shared media - metrics: engagement, mentions, reviews):
This expression refers to all activities related to social media, influencer marketing, forums, review platforms, social listening, communities, partnerships, events, employee engagement, and personal brand development. Focused on building relationships, they aim to generate audience engagement, recommendations, and a sense of belonging.
AI-Powered Search (Owned & Shared media - metrics: SEO, organic traffic):
This category reflects the evolution of SEO, including current optimization activities and new ones related to the very recent Artificial Intelligence Overview (IAO), formerly known as Google Search Generative Experience (SGE), Generative Engine Optimization (GEO), AI Optimization (AIO), co-occurrence (evolution of backlinking), and optimization for voice and visual searches. These activities will play a crucial role in increasing a site's visibility and acquiring organic traffic.
7 Archetypes of Women in AI Marketing
In influencer marketing, an archetype is a symbolic and widely recognizable character that embodies specific values, behaviors, and characteristics. Its purpose is to provide a framework for understanding and categorizing people based on their respective styles, content strategies, audience engagement, and how their followers/communities perceive them.
By analyzing the profiles of these influential women in the field of AI Marketing, we have identified seven different archetypes.
We primarily constructed these archetypes using two criteria: the nature of their work and the influence they had (these two criteria being cumulative). We measured the level of influence from 2,000 followers on one or more networks.
Here are the seven identified archetypes:
1. The AIM Educators:
Informed about the latest innovations, news, tools, prompts, influencers, and trends, AIM Educators create and share content related to AI marketing. Regardless of their areas of expertise or the size of their community, their goal is to educate through workshops, newsletters, books, blogs, videos, and more. Often established as independents, they play a crucial role in bridging the gap between AI technologies and their practical applications in marketing strategies. They can share both the technical skills necessary for using AI tools and more academic knowledge to adapt marketing strategies or ensure ethical and effective adoption within the function.
2. The AIM Change-Agents:
They stand out by creating or working for agencies, consulting firms, or training organizations whose mission is to advise and assist businesses and marketing professionals in the AI transition. Recognizing the transformative power of AI, they actively participate in its adoption within organizations and promote it to revolutionize marketing practices. As external consultants, they drive significant transformations by supporting the integration of artificial intelligence into their clients' marketing strategies and operations, leading them toward more innovative and effective practices.
3. The AIM Leaders:
They hold high positions in marketing or through cross-functional roles (Digital, Innovation, Sustainability) within large companies and are the ones driving AI adoption and advancement. They test and use AI in their functions and familiarize their teams with these new tools, thereby changing work processes. Capable of identifying relevant innovations and tools for their brand and profession, they strive to democratize their use, often calling on AIM Change-agents to help them and guide their teams and organizations toward smarter marketing solutions.
4. The AIM Entrepreneurs:
They use AI advancements to create businesses that directly or indirectly impact the marketing field. With a solid understanding of technologies, they constantly seek ways to apply AI innovatively to provide new solutions to existing problems or address a market opportunity. Recognized and followed by many of their peers, they are driven by a passion for innovation and a desire to transform the marketing industry with AI-powered solutions. They embody the entrepreneurial spirit, combining technological expertise with market understanding to create high-potential businesses.
5. The AIM Forward-Thinkers:
They are generally researchers, analysts, and futurists, or are recognized as such in the industry, interested in AI and studying its impact on the marketing landscape for many years. Proactive in exploring, adopting, and innovating AI-driven tools, technologies, and strategies, they can predict trends, identify opportunities, and anticipate consumer behaviors. They are characterized by their vision of AI's potential, understanding of its impact, ability to spot future challenges, and commitment to promoting human-machine collaboration. These visionaries play a crucial role in enhancing marketing relevance and performance.
6. The AIM Scientists:
They are professionals with scientific training who specialize in merging AI with marketing technologies and are often invested in data and customer experience fields. They have expertise in algorithms and marketing platforms, allowing them to develop and implement AI-driven solutions to improve products, strategies, and campaigns. These specialists help bridge the gap between AI capabilities and marketing objectives, using technology to drive innovation and efficiency. They offer personalized, data-driven marketing experiences that resonate with consumers and drive business growth.
7. The AI Tech Marketers:
They are marketing professionals who have spent most of their careers in technology companies. They specialize in promoting and marketing technological solutions, typically to businesses and professionals. They have a deep understanding of AI's capabilities, applications, and benefits. They excel at communicating these complexities clearly and convincingly to their target audience. Leveraging their technical knowledge and marketing expertise, they effectively promote, foster adoption, and contribute to the growth and success of their company and the technologies in general.
Check our PDF with the list of these101 Remarkable Women in AI Marketing.
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