Inside AI Advantage: Building a Personal Brand That Reflects You
By Jenny Kay Pollock, Co-Founder and Co-CEO of WOMEN x AI.
Program contributors: Jenny Kay Pollock and Reut Lazo, Lead Facilitators; and Rachel Wong, Principal Learning Architect and Cohort Facilitator.
When someone reads your professional bio, what do you hope they remember?
Your expertise? The way you lead? The problems you care about solving?
And does the language you use actually communicate those things?
AI Advantage is WOMEN x AI’s five-week live online learning cohort for women leaders, combining practical AI exercises, peer learning, facilitator support, and a capstone project connected to participants’ goals.
On October 9, 2026, Week 2 focused on using AI for personal branding and thought leadership.
Guest contributor Lori Adams-Brown, a leadership advisor and host of A World of Difference, shared her perspective on professional identity and visibility. Robyn White, a content design and UX leader, demonstrated how she uses Gemini Notebook (formerly NotebookLM) to organize sources and explore a topic.
The session combined guest perspectives with hands-on exercises, discussion of AI bias, and small-group feedback on participants’ personal brand statements.
How can AI help with personal branding?
AI can support personal branding by helping you identify themes in your experience, explore ways to describe your strengths, and draft professional materials. Your judgment and feedback from other people help determine whether those drafts represent you accurately.
Lori acknowledged that personal branding can feel uncomfortable, especially when you want the way you present yourself to feel authentic.
She encouraged participants to think about their strengths, values, and the contribution they want others to understand.
“Where are you going with your personal brand? What’s your end goal with that?”— Lori Adams-Brown
That question gives the writing a purpose.
A professional bio can describe your past while also helping someone understand what you want to contribute next. Which experiences matter for that direction? What should a reader recognize about your leadership?
Lori emphasized telling the truth about yourself and considering how your message lands with others. AI can generate options, but you still need to decide which words accurately represent you.
A recurring question was how to communicate what makes you distinctive when many talented people have similar qualifications.
Lori brought the discussion back to the needs of the person you want to reach. What problem are they trying to solve? Which parts of your experience would help them understand your contribution?
The output may sound polished and still miss something important. A broad description of leadership might leave out the particular way you build trust, guide a team, or approach a difficult decision.
Those details help someone understand how you work.
Turn experience into something worth sharing
Jenny introduced thought leadership as a way to develop a credible voice around the subjects you know and care about.
Participants explored how an AI conversation could help them surface lessons from their own work. Asking follow-up questions can bring out a decision, an observation, or an experience that might otherwise stay buried in a general description.
That material can become a useful starting point for a professional post or article.
The session considered different ways to share expertise, from a short reflection to an explanation of a trend or a practical framework. Choosing one format or channel gives you room to practice expressing a point of view and learning what resonates.
Jenny also shared that Lori’s podcast and willingness to explain how she got started helped inspire the WOMEN x AI podcast. Seeing an approachable example made the possibility feel more tangible.
It was a practical example of how one woman sharing her experience can help another take a next step.
For more on using AI in this way, explore AI as a strategic partner.
Turn information into something you can learn from
Robyn demonstrated Gemini Notebook (formerly NotebookLM), using a notebook she had assembled to help her learn about AI agents.
Her example began with a familiar challenge:
“Now that I have this mountain of information how do I make sense with it?”— Robyn White
She walked participants through her selected sources and played an AI-generated audio overview that explored the topic in a conversational format.
The demonstration made her learning process visible. Participants could see how she organized research, ask questions about the approach, and consider how it might support their own learning or professional materials.
It also brought attention to the information going into the tool. Which sources are relevant? What is missing? Does the output accurately reflect the material provided?
Reut encouraged participants to include context about where they want to go, alongside materials describing their past experience.
“What I like to put in is like goals for the future that I’m trying to achieve.”— Reut Lazo
That gives the work a direction. A résumé or bio describes what you have done; your goals help you evaluate whether the resulting language supports what you want to do next.
Choosing sources and checking the result remain part of the work.
Ask whether the output represents you fairly
Rachel led a discussion about AI ethics and bias, including how choices throughout the development and use of AI can affect its outputs.
That matters when AI is helping you describe yourself.
Does a draft preserve the substance of your leadership? Has it introduced assumptions? Does it flatten a distinctive career into language that could describe almost anyone?
Participants were encouraged to examine outputs and ask questions about what they saw.
A personal brand statement should help people understand your contribution. Reviewing it for accuracy, omissions, and assumptions is part of making it useful.
Hear how your message lands
The small-group conversations gave participants a chance to read their draft statements aloud and hear what other women took away.
What words stood out? Which strengths were clear? What was missing? What would someone remember after hearing the statement?
Those questions made feedback concrete. You may intend to communicate one strength while a listener remembers something else. A peer might recognize a theme you have understated or ask for an example that makes your contribution easier to understand.
Participants compared what they wanted to communicate with what others actually heard. They could then return to their drafts with more specific direction.
This is part of the value of learning in community: other women bring perspectives that a conversation with an AI tool may not surface.
Make progress on something that matters to you
Applying AI to your own professional materials brings up questions that a demonstration alone cannot answer.
What context should you provide? Which wording feels accurate? What should you do when a draft is polished but doesn’t sound like you?
Our AI Advantage Cohort creates space to work through those questions.
During Week 2, participants tried approaches introduced in the session, received peer feedback, and explored capstone ideas with facilitators available for support. The conversations also made room for different goals, including projects outside a conventional corporate career path.
Participants left with a draft personal brand statement, feedback on what others heard, and a concrete next step: refine the statement so it more clearly reflected their strengths and goals.
Across the five-week program, participants develop a capstone connected to their own goals. Guided exercises, prompt packs, live conversations, and facilitator feedback help them turn ideas into work they can build on.
Thank you to Lori and Robyn for sharing their perspectives and demonstrations, and to the women in our cohort for bringing their questions, experience, and thoughtful feedback.
What is one thing you want people to understand about your work that your current bio doesn’t quite capture?
Inside AI Advantage shares selected insights from WOMEN x AI’s live learning cohort.
