AI has evolved Customer Marketing in the best possible way.
Yes, it has made us faster. We can research more, create more, analyze more and get a ridiculous amount done in a day.
But I think something much bigger is happening.
AI is making the strategic value of Customer Marketing much more visible.
Because as buyers increasingly use AI to research companies, compare products and build their shortlists, the information we’ve been collecting from customers for years suddenly matters much earlier in the buying journey.
And here’s the part I keep coming back to:
Your customers are your proprietary intelligence.
Every one of your competitors has access to the same AI models. They can create another blog post, comparison page or “ultimate guide” before lunch.
They don’t have your customers.
They don’t know why your customer chose you. What almost stopped them from buying. Which competitors they considered. What implementation was actually like. What surprised them six months later. Or what they ultimately accomplished with your product.
That intelligence belongs to you.
And Customer Marketing is sitting on a ridiculous amount of it.
The problem is that most of us haven't been thinking enough about where that intelligence goes after we collect it.
So I built a framework around it
Over the last year, I’ve become slightly obsessed with one question:
When buyers go looking for answers, can they actually find our customers?
That question eventually became the operating system I now use with my fractional clients. I call it the Buyer Discovery Engine™.
It has four connected stages:
Discover how buyers encounter your brand and where customer voice is missing.
Activate customers whose experiences can credibly fill those gaps.
Distribute those voices where they can meaningfully support buyer discovery.
Measure what changes and connect that influence to business outcomes where possible.
Then repeat.
This shouldn’t be another quarterly campaign that gets launched, checked off and forgotten. It should become an operating motion.
And because Customer Marketers already have approximately one million things to do, I intentionally kept this simple. KISS: Keep It Simple, Stupid. :)
The interesting thing is, we’re already doing most of this work. We’re finding advocates, collecting reviews, creating stories, building communities and uncovering incredible customer experiences.
Where I think we’re leaving a lot of value on the table is what happens next.
We work so hard to capture the customer voice… and then too often, it just sits there.
A case study gets added to the resource center. A quote lands on a testimonial page. A review gets celebrated in Slack. Then we move on to the next thing.
That’s why I’ve become a little obsessed with the Distribute stage of the Buyer Discovery Engine.
If our customers are our proprietary intelligence, what’s the point of capturing all that intelligence if the buyers who need it never find it?
Most teams get stuck right after approval
Customer Marketers are already pretty damn good at the first part.
We know how to find the customer.
We build the relationship. We get the interview. We uncover the quote. We write the story. We chase approvals. We finally get the glorious “looks good to me!” email.
And then...
The quote goes into a Google Doc.
The case study gets uploaded to the customer page.
Someone opens a ticket to update the website.
Maybe it happens this week. Maybe next month. Maybe everyone forgets about it entirely.
Then we move on because we have another customer story due Thursday.
We did all the hard work to capture the intelligence, but distribution became an afterthought.
That's a problem when buyers aren't following the neat little buyer journey we've built in our PowerPoint decks.
They're bouncing between your website, AI answers, review sites, communities, Reddit, comparison pages, customer stories and conversations with peers.
So producing customer proof isn't enough anymore.
We have to think about where customer voice could actually influence discovery.
At Peerbound, customers see this problem all the time
Peerbound hears the same story from many of the Customer Marketing teams it works with: approved proof can't go live without rounds of back-and-forth with the web team. So Peerbound set out to make publishing customer proof simple, and to make it look good once it's live.
The result is Peerbound for AEO.
After a one-time setup, every quote, review, or story approved in Peerbound goes straight to your website as customer proof that AI engines can crawl. When you retire a quote or a customer churns, it comes down automatically.
With no more web team queue, the glorious “looks good to me!” approval email can now be the last step of the web project before it is available for everyone to see.
The right customer voice in the right place
Distribution also doesn't mean taking every testimonial you have and plastering it everywhere.
The opportunity is to get much more intentional about which customer voice shows up where.
Imagine your company is trying to move upmarket. You have fantastic enterprise customers, but nearly every customer story a buyer encounters is from an SMB.
That's a customer voice gap.
Or maybe your website says you're the best solution for a particular industry, but every visible customer quote comes from somewhere else.
Another gap.
The question changes from:
“What case study should we create next?”
to:
“Which customer voices do we need — and where do we need them?”
That's a much more strategic Customer Marketing question.
Every page can feature customers who look like your buyer
Here’s what that looks like with Peerbound for AEO.
A Peerbound customer in the data security space was looking for an easy-to-use, filterable customer proof wall to highlight the most relevant proof for each industry or segment across different website pages, from healthcare to finance. This way, a bank evaluating email security does not land on a page of government institution logos and decide that it’s not a fit.
Similarly, a company that is moving upmarket can set an enterprise page that pulls only from enterprise customers in its approved proof collection so that a buyer at a 5,000-person company can see relevant stories from companies their size.
Wherever a buyer lands, they find customers who look like them.
There's another layer to this: discoverability
This is where Customer Marketing starts getting really interesting to me.
We aren't just thinking about the human who lands on the website anymore.
We also need to think about how the information we're creating can be found, understood and retrieved by the systems helping buyers research us.
This is why I keep saying:
Don't become the SEO team. Teach the SEO team how powerful your customers are.
Customer Marketing knows things the rest of Marketing often doesn't.
We know who's happy. Who's credible. Who switched from a competitor. Who had a difficult implementation and came out the other side loving us. Who achieved an insane result. Who represents the industry we're trying to break into. Who has a story worth telling.
That is incredibly valuable intelligence.
Our opportunity is to work with Content, SEO/AEO, Product Marketing, PR and Customer Success and ask:
What does our buyer need to discover, and where could an authentic customer experience make that claim more believable?
Your marketing makes the promise.
Your customers make it believable.
AI engines can only cite customer proof they can read
Here's why most customer proof never makes it into AI answers.
Testimonial carousels and review widgets usually load with JavaScript after the page opens, and almost none of the major AI crawlers, including those from OpenAI, Anthropic, and Perplexity, currently run JavaScript.
Quotes in images, videos, or gated PDFs are just as hard for them to read.
Let’s break it down.
An AI crawler takes a snapshot of your page the instant it opens. Anything that loads a second later, like a testimonial carousel, isn't in the picture.
Peerbound for AEO writes your customer proof onto the page itself.
Both the embed on your existing pages and the dedicated proof page Peerbound generates are readable the moment a crawler arrives.
The proof page lives on your own domain for your website to get the credit when AI cites it, and it includes schema markups that label the content in a format AI systems are built to understand.
Because the page updates every time proof is approved or retired, answer engines find your most current customer proof. As a result, AI answers about your company are more likely to include customer proof, which gives buyers more reason to trust what those answers say.
When distribution runs itself, our job gets more strategic
This may actually be my favorite part.
Customer Marketing does not need more work. We need the work we're already doing to matter in bigger rooms.
If we can spend less time opening tickets, updating testimonial pages and manually moving customer quotes around, we can spend more time asking the questions we're uniquely qualified to answer.
Whose voice is missing?
What are buyers trying to validate?
Which industries don't have enough representation?
What objections aren't being addressed by customers?
Where are competitors showing up with stronger customer proof?
What are our customers saying that Marketing isn't?
That's the job I want.
And that's where the fourth stage of the Buyer Discovery Engine comes in: Measure.
Don't just tell me we collected 20 reviews and published six customer stories.
Are those reviews current?
Are our priority industries represented?
Are buyers encountering customer proof around our most important use cases?
Are our customer voices appearing in the places buyers are actually researching?
Are we influencing opportunities?
Can we connect any of that influence to pipeline or revenue?
Customer Marketing deserves to be measured by the influence it creates, not just the assets it produces.
Then we take what we learn, go back to Discover, and start again. That's what makes this an operating motion.
Your customers know something your competitors don't
This is the idea I want Customer Marketers to really run with.
Our customers are our proprietary intelligence.
A review isn't just a five-star rating. It's firsthand intelligence about someone's experience. A case study isn't simply a content asset. It's a documented customer experience. A community isn't just an engagement program. It's a group of practitioners exchanging knowledge. And an advocate isn't simply someone willing to say nice things about your company.
They're a subject-matter expert who knows something your future buyers may desperately want to know. That should change the way we think about advocacy.
Instead of asking:
“Who likes us enough to say something nice?”
Start asking:
“Who knows something our future buyers need to know?”
Now the customer who replaced your biggest competitor has expertise about competitive evaluation. The customer who rolled your product out globally has expertise about enterprise implementation. The customer who achieved a huge measurable result has expertise about outcomes. The person answering questions every week in your community has expertise other practitioners may genuinely value.
The right customer. The right expertise. The right moment.
That's where I believe Customer Marketing is headed. And yes, our job is becoming more strategic.
Good.
Because AI didn't suddenly make Customer Marketing strategic. It's making it much easier for everyone else to see just how strategic we already were.
And if we do this right, we don't just make our customer voices more visible.
We make Customer Marketing more visible too.
Frequently Asked Questions
How does customer voice affect AEO and AI-powered discovery?
AI-assisted research adds another way buyers can encounter information about your company. That means Customer Marketing should think beyond simply producing customer assets and consider whether those experiences are accessible, current, specific and easy to find.
The goal isn't to manipulate what an AI engine says. It's to make authentic customer experience part of the broader information ecosystem buyers—and the tools helping them research—can access.
Should Customer Marketing own AEO?
No. And I don't want us to.
AEO should be collaborative. Content, SEO, Product Marketing, PR and other teams all have important roles to play.
Customer Marketing should own something those teams don't: deep knowledge of the customer voice.
We know who has the experience, credibility and expertise to substantiate the things our company wants the market to believe.
That's our lane.
Does this mean we should stop creating case studies?
Absolutely not.
I will never tell a Customer Marketer to stop creating customer stories, collecting reviews or building advocacy programs.
The shift is what happens after we create them.
Creating customer proof is only half the job. We also need to make sure that proof can actually be encountered where it can help a buyer.
What is Peerbound for AEO?
Peerbound for AEO puts approved customer proof on your website automatically in a format AI engines can crawl. Quotes, reviews, and stories go live as soon as they're approved in Peerbound and come down when you retire them or a customer churns.
How does Peerbound for AEO decide which customer proof shows up on each page?
You set filters based on your CRM data, like industry, company size, or use case. Each page then pulls only the matching proof from your approved collection, so your healthcare page shows healthcare customers and your enterprise page shows enterprise customers.
Does Peerbound for AEO replace our existing case study library?
No. Your case study library stays where it is, and you can bring those published case studies into your Peerbound collection so they appear alongside newer quotes and reviews. Peerbound for AEO then places that customer proof on the pages where buyers make decisions, like product, industry, and pricing pages, in a format AI engines can crawl.
Start with your own brand
If you're a Customer Marketer, start simple.
Ask a handful of real buyer questions about your company across the major AI engines. Look at how you're described, which competitors appear, what sources are influencing the answers, and, most importantly, whether your customers are showing up at all.
That's exactly why I created the Buyer Discovery Score™: to help Customer Marketers understand where customer voice is already influencing discovery and where there may be gaps.
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Get your Buyer Discovery Score™
If Distribute is the stage where your customer proof gets stuck, Peerbound for AEO takes it off your plate. Book a demo to see how it works on your website.
Discover how Peerbound for AEO turns customer proof into proprietary intelligence, helping B2B brands improve discoverability and win trust in AI search.
