She’s That Founder
205 | REPLAY: Generic AI Content Is Killing Your Credibility as a Female Founder (Fix This Fast with 3 Simple Inputs)
If your AI output sounds like it was written by someone who's read about you but never met you, you don't have a tool problem, you have a transmission problem, let's get into it.
Hey, hey, hey. You're listening to She's That Founder, the podcast for ambitious female leaders who are ready to stop being the bottleneck in their business by using AI frameworks and tools for faster delegation and decision making.
I'm Dawn Andrews, and Today you'll discover why AI defaults to generic language and what that actually costs you as a female founder with a reputation to protect, you'll learn why the fix isn't a better tool.
It's a leadership skill you already know how to develop. And I'll share the voice architecture system, three specific inputs you can build this week that will make your AI output start sounding unmistakably undeniably like you.
Let's do it.
So I wanna tell you about a client of mine, 15 years in her industry and a track record that speaks for itself. This is the kind of woman that a prospect will delay a decision for because they wanna work with her and get her take on it specifically. She'd been courting a new client for months, real relationship building, not cold outreach, not a funnel genuine connection.
And when it was finally time to send the proposal, she used AI to help her put it together. She cleaned it up, made it tight, sent it off. The prospect called her back. Not to say yes, but to say I feel like I'm talking to a different person. She almost lost the contract over a proposal that was technically fine, professionally formatted, completely correct and entirely unmistakably, not her.
And this is what hit me when she told me the story. She didn't make a mistake with the tool with using ai. She made the mistake that everyone makes. She handed AI a topic and expected it to know her. It didn't and it couldn't, and we need to talk about why.
So let's talk about the real problem. Why does AI default to the average of everything? Well, here's what happens when you open up Claude or chat GPT and type. Write me a thought leadership post about leadership. The tool reaches into the absolute average of everything written on the internet up through 2022 or 2024 about leadership the entire. It gives you the most palatable, most inoffensive, most broadly applicable version of that content that it possibly can because that is what it is optimized to do.
Not to sound like you, but to sound like acceptable. And then you post it because girl, you're busy. I get it. And because it's close enough and because done is better than perfect. And that's a mantra of mine. So I really do understand where you're coming from here. But then your audience reads it and something feels off and they can't name it, but they feel it because they've been following you long enough to know what you actually sound like. And that wasn't it.
So here's where I need you to really hear me. For Women in Leadership, generic AI output is not just a branding inconvenience, it's a credibility risk. Because we already work harder to be seen as the expert in the room, we already do more to prove that our point of view is worth the investment we cannot afford.
We literally cannot afford to have our content sound like it was assembled by committee or by an algorithm that is never once sat across from a difficult client and navigated that moment with intelligence and grace. Your credibility is your currency. Every piece of generic content you publish spends a little of it.
Without your permission, can you relate, especially in our new AI world? I think you probably can.
Okay. Let's talk about the actual fix first. Understand that AI isn't a colleague. It's a new hire. This shift, and this one is important, so stay with me. AI is. It's not even a junior team member who's been shadowing you and picking things up by osmosis.
It's a pattern matching machine, a very powerful, very fast, very capable pattern matching machine with no thoughts, no feelings, no instincts, and absolutely zero context about who you are unless you give it that context explicitly, and this is the part that people are skipping.
We are so used to communicating with humans, thank goodness, and people pick up on [00:04:00] subtext. They pick up on body language. People know how to read the room. People who know from three words in a tone shift what we actually mean. We forget that, and then we walk into an AI tool expecting the same, and then we're confused when what comes back sounds like an articulate stranger wrote it.
But here's the thing. You are talking to a stranger every single time, a very capable stranger with no memory, no intuition, no understanding of the decades of expertise behind your words, which means you have to treat it like what it is. A brand new hire. An incredibly capable, high, potential smart and very literal new brand hire who needs actual onboarding.
So here's where this gets really interesting for all of us, because this exact dynamic, it is not new. You have this problem on your team right now. You hired capable people, really good people, and everything still runs through you. Not because they aren't smart, but because you haven't transmitted your judgment, you haven't made your thinking visible and transferable and AI does not solve that problem.
It reveals it. It amplifies it. It's terrifying how much it shows you the spinach in your teeth, and it just makes the gap impossible to ignore. So good news, the fix for AI and the fix for your team bottlenecks are the same fix, and it starts with what I call voice architecture. So voice architecture is a three input system, and it's actually more complex than that, but I'm giving you the quick and dirty version today.
So voice architecture is the practice of taking what lives in your head, your voice, your values, your vocabulary, and your non-negotiables, and making it explicit enough that a tool with no instincts can use it accurately. It's a leadership skill, not a tech skill, and it's one that you're already closer to than you think.
So here's how to build it. Three inputs. That's it. And this is, like I said, the simpler version. If you want a really super juicy, robust version that you can trust and you can trust your team with, that's a different story. But we'll talk about that in a minute.
So let's talk again about how we're building it.
Three inputs. Input one. Your voice samples. So pull three pieces of your own writing that represent you at your absolute best. Not the most polished, but the most you like I would rather have you pull text messages with your girls than pull a white paper article that you wrote for your business. So the ones where someone who knows you would read it and say, that is exactly how she talks.
An email you wrote when you were fired up about something, a client recap, that you're proud of, a social post where the comments were, this is so you, those are the kind of samples that you wanna include in your baseline.
So input two, your vocabulary map. Every single founder has a vocabulary input. And listen, sister, if you have been listening to this podcast, you could probably pull out my vocabulary, fingerprint you know, the things that I repeat all the time. So signature phrases. It could be signature phrases your clients use when they quote you back to you, the words you reach for consistently.
And also important, the words and phrases you would never say. The corporate speak that makes you cringe. The buzzwords that feel hollow to you. You need to do both sides of the list. AI will default to the most common language in your category or industry, and your job is to tell it exactly where you stand and where you deviate.
Okay, the last input, your listener brief, who are you talking to? What do you want them to feel? Not just demographics, but the emotional state, the psychological state. She's overwhelmed. She's slightly resentful, and if your audience member is overwhelmed or slightly resentful, that needs to be in the conversation. If she's brilliant and exhausted and just needs someone to cut through the noise and tell her the one thing she needs to do next. That needs to be there.
So when you give AI that level of specificity about the listener or the reader, it changes what it writes because now it has a human to write to, and four, not just a topic to cover. So those three inputs, that's the beginning of your voice architecture.
And when you give them to an AI tool, before you ask it to produce anything, you stop getting the average of the internet and you start getting something that sounds like it came from you.
One founder I work with made this shift and her team's response to the next AI draft was, that sounds exactly like you.
Same tool, same topic, completely different result because she stopped expecting AI to guess and started giving it the architecture of her voice.
So here's exactly where to start this week before your next piece of content, open your AI tool of choice and paste this in before you prompt, and you can add this little bit of language to it.
" I'm gonna give you three writing samples that represent my voice at its best. I'm also going to tell you words I use often, words I never use and who I'm writing for and how I want them to feel. Your job is to learn my voice from these inputs before you write anything ready", and then paste your three samples, give it your vocabulary list, brief it on your listener, then ask it for the content.
That single change will produce a different result immediately, so try it once and you will never prompt AI the same way again.
Okay. Real talk. Building your voice architecture is one thing, but building it in a room with me where we do it live and you walk out with an actual working system for your business.
That's the voice lab. It's a live session on May 2nd, eight seats only because we are literally building your system in real time, not just talking about it. So if you want one of those seats, go to hellodawn.live/voice-lab. Right now, only eight seats come and get yours.
Let's land this, shall we? Your credibility is the most valuable asset in your business, and it took years to build. It lives in your head and in what you've shared with the world. And ai as brilliant as it is, cannot access it unless you build the architecture that transmits it.
Generic AI output doesn't just miss the mark. For female founders who've worked twice as hard to be taken seriously in their space, it quietly erodes the thing you've worked hardest to build the reputation that makes people say, I need to work with her, specifically.
Voice architecture is how you fix that. Three inputs, your best writing samples, your vocabulary, fingerprint, and a real listener brief. Give those to your AI tool before you ask it to produce anything and watch the output shift. This is not a technical skill that I'm asking you to pick up.
This is a leadership skill that I'm asking you to develop more deeply. And if you've been leading long enough to have a voice worth protecting, you are already capable of building the system that protects it.
This week, find three pieces of your own writing that sound the most, like you. Don't overthink it. Just find them and start. That's step one, a voice architecture. Everything else builds from there.
And if you wanna build this whole thing, live with me in real time. Voice Lab is May 2nd. Eight seats. hellodawn.live/voice-lab.
All right, that's your Tuesday. Deep dive. You didn't build a reputation by sounding like everyone else.
Don't let your AI output be the first place that kills it. Okay, good. I'll see you Thursday and until then, less, not more. Always. Take care. Levy.
