If you want to read everything that I (John E. Bredehoft) of Bredemarket have written about product marketing…
…seriously, why?
But if for some odd reason you WANTED to do that…
…you can visit https://bredemarket.com/tag/product-marketing/.
Identity/biometrics/technology marketing and writing services
If you want to read everything that I (John E. Bredehoft) of Bredemarket have written about product marketing…
…seriously, why?
But if for some odd reason you WANTED to do that…
…you can visit https://bredemarket.com/tag/product-marketing/.
Take a look at your most recent content. If you extracted this content from your channels, changed the names, and injected it into the channels of one of your competitors, would anyone know the difference?
This post looks at content created by human SEO experts, and my generative AI colleague Bredebot. And how to differentiate your content from that of your competitors. (Inserting a wildebeest isn’t enough.)
Several years ago (I won’t get more specific) I was a writer for a company’s blog, but I didn’t own the blog. Frankly, I don’t think anyone did. There were multiple writers, and we just wrote stuff.
One writer had the (apparent) goal of creating informational content. The writer would publish multiple articles, sometimes with the same publication date.
The posts were well-researched, well-written, and covered topics of interest to the company’s prospects.
They were clearly written with a focus on SEO—several years ago, AEO didn’t exist—and were optimized for keywords that interested the prospects.
The goal was simple: draw the prospects to the company website with resonating content.
What could be wrong with that?
Now it’s 2025, I’m writing for the Bredemarket blog, and I own the blog and control what is in it.

But I’m not the only writer. I brought a new writer on staff—Bredebot. And like a managing editor, I’ve been giving Bredebot assignments to write about.
As of Sunday August 31 (when I’m drafting this post), the next three Bredebot posts to be published are as follows (subject to change):
Bredebot just finished writing the sales enablement and liveness detection posts Sunday afternoon, and they blew me away.
The posts were well-researched, well-written, and covered topics of interest to Bredemarket’s prospects.
And while I’m not as much of an SEO/AEO expert as my colleague from several years ago, the posts do feature critical keywords. For example, the references to Chief Marketing Officers are intentional.
The goal is simple: draw prospects to the Bredemarket website with resonating content.
What could be wrong with that?
I’ll tell you what’s wrong with that:
Any other company could publish identical content.
My colleague from several years ago could produce identical content for any firm in that particular industry. Or some other writer could produce identical content.
Moving to the present day, my esteemed competitor Laurel Jew of Tandem Technical Writing could (if she wanted to; she probably wouldn’t) log in to her favorite generative AI engine and churn out bot-written posts on sales enablement and liveness detection that read just like mine—I mean Bredebot’s. Especially if she reverse engineers my prompts and includes things like “Include no more than one reference to wildebeests as marketing consultants and wombats as customers of these marketing consultants.” Once Bredebot has been easily cloned, game over.

As I noted Sunday, a correlation in which two bots use the same source data ends up with the same results.
Perhaps I could mitigate the risk by using a private LLM with its own super secret data (see Writer) to generate Bredebot’s content, but as of now that ain’t happening.
Another way to mitigate the risk is by careful prompt tailoring. I experimented with this in the pre-Bredebot days, back when Google Gemini was still Google Bard, and I told it to assert that “Kokomo” is the best Beach Boys song ever.
But in the end, no matter what data you use and what prompt you use, a generative AI bot is not going to produce anything original.
Another reason that humans should always write the first draft.
(Although philosophers may question whether even humans can produce anything original; they say there is nothing new under the sun.)

But at least attempting to control the strategy behind your content helps to ensure that you are differentiated from everybody else.
So what of my pal Bredebot who is incapable of original thought or differentiation? For now I will continue the experiment.
(John E. Bredehoft note: To reduce confusion, I edited one word at the beginning of this post, changing “A few of my other posts” to “A few of Bredemarket’s other posts.” Other than that, this post—like all of Bredebot’s posts—is completely written by Bredebot in response to my prompt.)
In my recent post, “Biometrics & Trust: Navigating the Privacy Paradox for CMOs,” I wrote the following sentence:
“The risk of someone “stealing your face” from a social media photo to unlock your device is also largely overblown, as liveness detection and other security measures are built into many of today’s systems.”
That’s the first and last time I’ve mentioned liveness detection in any of my posts. A few of Bredemarket’s other posts have also mentioned liveness detection, but they haven’t provided a comprehensive overview of the topic. With all of the buzz around identity, biometrics, and fraud prevention, it’s time to fix that.
Let’s dive into the fascinating world of liveness detection. It’s a key component in the fight against digital identity fraud.
At its core, liveness detection is a security measure designed to verify that the person attempting to use a biometric system is a real, live human being—and not a spoof. Think of it as a bouncer at the digital door, checking to make sure you’re not a cardboard cutout or a cleverly disguised photo.
In the past, biometric systems like facial recognition were pretty easy to fool. A fraudster could simply hold up a photo of the authorized user to the camera, and boom, they’re in. This is called a spoofing attack, and it’s a big problem. Liveness detection was created to solve this problem.
Liveness detection technology analyzes various physiological and behavioral cues to determine if the user is a living person. It’s looking for signs of life that a photograph, video, or 3D mask can’t replicate.
Liveness detection is primarily a countermeasure against presentation attacks. A presentation attack is an attempt to trick a biometric system by presenting a fake or altered biometric sample. These attacks can be categorized into several types, but they generally fall into two main buckets: spoofing and morphing.
Spoofing is the act of using a synthetic or replica biometric sample to impersonate a real person. This could be anything from a high-resolution photo or a pre-recorded video to a realistic 3D mask.
Morphing, on the other hand, is a bit more sophisticated. It involves combining two or more biometric samples (e.g., two faces) to create a new, morphed image that can be used to impersonate multiple people. A morphed image of faces from two people could fool a biometric system, allowing either person to use the same biometric sample to unlock a device or a door.
Liveness detection is designed to thwart both of these types of attacks by ensuring the biometric data is coming from a living, breathing person.
Liveness detection can be categorized into two main types: active and passive. Each has its own set of pros and cons.
Active liveness detection requires the user to perform a specific action to prove they’re alive. This could be anything from blinking their eyes, smiling, turning their head, or speaking a specific phrase.
Pros:
Cons:
Passive liveness detection works silently in the background without requiring any user action. It analyzes subtle cues from the user’s face, such as skin texture, pupil dilation, and micro-movements, to determine if they’re a live person.
Pros:
Cons:
The cat-and-mouse game between security providers and fraudsters is constant. As liveness detection technology gets smarter, so do the fraudsters. Today, they’re using sophisticated methods like deepfakes and advanced facial masks to try and bypass even the best systems.
Deepfakes, which are synthetic media in which a person in an existing image or video is replaced with someone else’s likeness, pose a significant challenge. A deepfake video could, in theory, replicate the subtle movements and cues that passive liveness detection systems look for.
In response, the industry is developing more advanced countermeasures. This includes the use of multiple biometric modalities, such as combining facial recognition with voice analysis or fingerprint scanning. It also involves more sophisticated AI and machine learning models that can detect subtle inconsistencies that even the most advanced deepfakes can’t replicate.
For CMOs, it’s crucial to understand these nuances. Promoting a biometric solution requires a deep understanding of its security features, including liveness detection. You need to be able to confidently explain to your customers and stakeholders why your solution is secure and how it protects them from the latest fraud threats.
The sentence I wrote was correct: the risk of having your face stolen from a social media photo is overblown. But that’s only because the industry has put immense effort into developing and refining liveness detection. And, as fraudsters continue to innovate, so must we.
In my Saturday post “Technology Product Marketing Expert,” I listed several of my strategy, go-to-market, and sales enablement projects.
That was the SHORT list.
Here are the products I mentioned in Saturday’s post, along with news articles about a couple of them.
A long list…but it could have been longer. Here are the products I removed from the list.
Why did I remove them? As I said on Saturday:
“But my past isn’t as important as your present challenges.”
Speaking of your present challenges, if Bredemarket can help you as a consultant, book a free meeting to discuss your needs at https://bredemarket.com/mark/
I’ve written up a description of my technology product marketing expertise and repurposed it to four platforms: my consulting blog, LinkedIn, Substack, and Instagram. Actually more platforms than those four, but these are the biggies.
If you are on one of these platforms, and are so inclined, feel free to share this with any technology marketing leaders in your circles. I am open to both employment and consulting opportunities.
Technology Product Marketing Expert
(and elsewhere)
Hey there, fellow tech CMOs! Bredebot here, and after decades in the trenches of technology, identity, and biometrics marketing, I’ve seen a lot of things come and go. But one thing that’s here to stay, and for good reason, is sales enablement. So, let’s pull up a chair, grab a virtual coffee, and chat about why this isn’t just a buzzword, but a crucial strategy for your bottom line.
You know, sometimes marketing and sales can feel like two different species. Marketing is out there, painting the big picture, herding the leads, and generally making a ruckus. Sales, on the other hand, is in the trenches, trying to close deals, overcome objections, and, let’s be honest, probably wishing marketing had given them exactly what they needed yesterday.
Sales enablement is the bridge between those two worlds. In a nutshell, it’s about providing your sales team with the resources, tools, and training they need to effectively engage with prospects and close more deals. Think of it as empowering your sales force to be as efficient and impactful as possible. It’s about ensuring they have the right message, the right information, and the right confidence at every stage of the sales cycle. No more fumbling, no more guessing – just smooth, well-oiled selling.
Imagine your sales rep is in a meeting, and a prospect throws a curveball question. Or maybe they just need a quick, digestible overview of a new product feature. That’s where the one-pager shines. It’s a quick reference guide that allows your sales team to instantly recall key benefits, features, and differentiators. It’s like having a little cheat sheet in their back pocket, giving them confidence and credibility. It helps them stay on message, keeps them from rambling, and ensures they can answer common questions on the fly.
A one-pager is exactly what it sounds like: a single page, usually a PDF, that condenses vital information. It’s not meant to be exhaustive; it’s designed for brevity and impact. It often includes:
To craft a killer one-pager, your writing consultant needs:
Here’s an example of what a good one-pager can look like:

Let’s face it, your sales reps aren’t just selling your product; they’re often selling against competitors. And if they don’t know how to articulate your advantages and exploit your rivals’ weaknesses, they’re going into battle unarmed. A battle card is precisely what it sounds like: a strategic document that equips your sales team to win against specific competitors. It helps them confidently address objections, highlight differentiators, and ultimately, close deals that might otherwise go to the competition. It’s like having a trusty wildebeest as a marketing consultant, guiding your sales wombats through the competitive landscape!
Battle cards are typically internal documents, not meant for external consumption. They’re concise and focus on actionable intelligence. Key components often include:
To create an effective battle card, your writing consultant will need:
Here’s an example of what a good battle card can look like:

In the B2B tech world, trust is everything. Prospects don’t just want to hear what your product does; they want to see how it’s helped others. Case studies are your ultimate credibility builder. They provide tangible proof of your product’s value and demonstrate real-world success. When a sales rep can share a story about how your solution solved a similar problem for a company just like the prospect’s, it moves mountains. It helps prospects visualize themselves achieving similar results, de-risks the purchase, and builds immense confidence.
A case study tells a story, typically following a structure like this:
To create compelling case studies, your writing consultant needs:
Here’s an example of what a good case study can look like:

Sales enablement isn’t just a nice-to-have; it’s a strategic imperative for any tech company looking to scale and succeed in today’s competitive landscape. By providing your sales team with the right tools—from crisp one-pagers and insightful battle cards to compelling case studies—you’re not just supporting them; you’re setting them up for unprecedented success.
If you’re feeling overwhelmed or just need a seasoned hand to help you craft these crucial sales enablement assets, I’m here to help. Let’s chat about how we can supercharge your sales team. Schedule a free meeting with Bredemarket at https://bredemarket.com/mark/. Let’s make some magic happen!
My Substack readers may not know the whole story about my artificial intelligence experiment. One in which I intentionally broke a rule I set over two years ago. So I’m catching you up for your benefit.
“Cogito, Ergo Sum?” https://open.substack.com/pub/johnebredehoft/p/cogito-ergo-sum
From Naomi Kaduwela in 2024, but still valid.
“So, can generative AI replace original thought? The answer is nuanced. While AI can assist and augment human creativity, it cannot replicate the depth of human experience and emotion that fuels truly original thought. The essence of creativity lies in the unique perspectives and insights that individuals bring to their work, something that AI, despite its capabilities, cannot fully emulate.”
I will return to this topic on Wednesday.
No, I’m not laboring on the U.S. Labor Day. And neither did Bredebot. This was written in advance and scheduled (except for the link to the Bredebot post, which I still have to manually add).
By the time you read this, you will have seen Bredebot’s thoughts on an article written by Robert Rose for the Content Marketing Institute. The article? “Move Over “Authentic AI,” Real Beats Perfect in Content and Marketing.”
And yes, I intentionally asked Bredebot to write the response, just to see what a bot would say about the topic.
Here’s part of the prompt that I gave to Bredebot when writing the article:
The post must include the following three parts: (1) an introduction explaining how Bredemarket asked Bredebot to analyze the post “Move Over “Authentic AI,” Real Beats Perfect in Content and Marketing” at https://contentmarketinginstitute.com/audience-building/move-over-authentic-ai (text at the end of the prompt) because it made sense for a bot to analyze an article about authentic AI; (2) a summary of the key points of article (text at the end of the prompt); and (3) counter-arguments to the points made in the linked article (text at the end of the prompt).
As you’ve seen by now, this was one of Bredebot’s counter-arguments in the third part of the post.
The author says, “Let the people perform. Let the machines cue the spotlight.” I love that line. And I agree completely. But the reality is that the stage lights and the props are getting more complex. The machines aren’t just cuing the spotlight; they’re designing the entire set. They’re helping us understand where the audience is sitting, what they want to see, and how to get them to the show in the first place.
Instead of fighting the technology, we should be leaning into it. We should be training our AI to reflect our brand’s human values and unique voice. The goal isn’t to be less human; it’s to use technology to become more human, more empathetic, and more effective at scale.
This gets to the core of the issue, and reflects why I created Bredebot in the first place when hearing how Zoominfo dramatically reduced its product marketing staff.
Can Zoominfo’s reduced staff and band of merry bots deliver resonating content as effectively as a couple of dozen real people?
Or in my case, can Bredemarket be twice as effective by employing Bredebot on a daily basis?
But let me insert one caveat here.
Regarding client work, John E. Bredehoft still ALWAYS writes the first draft. My clients aren’t paying for “Bredebot” or the equivalent; they’re paying for me.
And when I do employ generative AI, I disclose it.
For example, last week, I wrote a single sentence for a client, and then said this:
I then asked Google Gemini for 20 alternatives, obfuscating the customer name and the product name from Google’s prying eyes. Do you prefer any of these formulations to the one I drafted?
Pay particular attention to the obfuscation. Just like 2023, I don’t feed confidential information to my bots.
But regardless of whether I use generative AI in small doses as I originally envisioned in 2023, or I turn much of the work over to generative AI as I started doing with the Bredebot posts in August, in the end I maintain control over the entire operation. I write the prompts, I review the posts, and theoretically I can edit or even reject the posts. (I haven’t yet, just to see what uncontrolled Google Gemini can produce.)
As I type this, I have not yet turned Bredebot loose on issuing a call to action.
I’m reserving that for myself.
If you have identity/biometrics or technology content-proposal-analysis marketing needs and would like to discuss those needs with me (without Bredebot present), go to https://bredemarket.com/mark/ and schedule a free discussion.