Customer marketing and product marketing teams have felt a shift over the past year.
AI is everywhere, raising the bar. Yet buyers are even more skeptical. Not less.
Operationally, these teams are fielding more requests than ever.
Sales needs proof for this industry, this use case, this competitor. Leadership wants advocacy’s impact on revenue. Everyone wants it by tomorrow.
When anyone can use AI to produce polished-looking content in seconds, proof from real customers is the only thing that lands. And when that proof is independently 3rd-party verified, it’s irrefutable.
Today, we’re launching UserEvidence AI, and we want to share exactly how we think AI should show up in customer marketing and advocacy.
AI is everywhere. Verified proof is not.
Here’s the problem: collecting proof, curating it, and mobilizing your advocates… then getting all of it in front of the right person at the right time is still a largely manual and reactive process that falls on a small team. The person answering every Slack message asking, “do we have a mid-market fintech customer in EMEA?” is usually the same person who just launched a survey campaign, wrote a case study, and is somehow also running an advocate program.
So when we talk about UserEvidence AI, we’re not talking about slapping a label on something and calling ourselves an AI company. We have a specific POV:
AI makes customer proof easier to collect, curate, and share. AI helps you identify and activate your best advocates faster. But it can’t sacrifice the credibility and human voice that makes advocacy worth anything in the first place.
Your proof has to come from real customers. That’s not changing.
What’s changing is how hard you have to work to find it, activate it, and use it. That’s the standard we hold ourselves to. So here’s what we built.
What UserEvidence AI actually looks like in practice
Collect rich customer feedback, faster with AI Questions
Conversational AI Questions adapt to each customer’s response in real time. You get richer, more specific feedback without longer surveys or higher drop-off. Customers can answer by voice; AI polishes their responses so they feel confident in what they’ve shared.
Publish content in a few clicks using our Recommendations Inbox
Most teams are sitting on a goldmine of quotes buried in survey responses and strong moments lost in call recordings. AI surfaces the best of it, scores it for quality, and routes it to a Recommendations Inbox. The result: you stop starting from scratch. Even during a chaotic week, you can open the inbox and walk away with published content in minutes.
⚡️ Real customer example: Cara Peterson, Customer Marketing Manager at Commvault, returned to a busy week at the office after a heavy snowstorm. With UserEvidence’s Recommendations Inbox, she was able to log in, quickly get a few quotes approved, and notch some quick wins.
Expand your advocate pool with Advocacy Scores + AI Reference Matching
AI analyzes calls, CRM data, product usage, and engagement signals to surface customers who are already strong advocates (not just the ones who raise their hand). Advocacy Scores and AI Reference Matching mean reps can request references in natural language and get a best-fit match automatically. The right person, for the right deal, before anyone panics.
Get deal-specific proof delivered to your inbox with Proof Recommender
UserEvidence AI scans deal context after a call (e.g., competitor mentions, industry, use case) and automatically surfaces relevant evidence before a rep has to ask. Think: “We heard competitor X come up in your last call. Here are seven assets that speak directly to that.” As a result, marketers stop firefighting. With Proof Recommender, the right content shows up at the right time.
Bring customer evidence into your AI workflow with our MCP Server
With our MCP Server, your library of verified customer proof is accessible directly inside Claude. It’s available when someone is building a competitive deck, prepping for a call, or writing an email. See what Brayden McCleskey, Senior Customer Advocacy Marketing Manager at Recorded Future had to say:
Proof stops being a destination. It instead becomes infrastructure for your entire team.
Explore more AI at UserEvidence
How this helps push product & customer marketers forward
When AI is built into your workflow, the role starts to shift. Customer feedback streams in continuously. Content gaps get flagged before sales is blocked. Advocates surface before you have to ask. The evidence you already have shows up in more of the places that matter.
Customer marketers and product marketers who have been operating in reaction mode are going to have something they’ve rarely had the space for: the ability to be strategic. Not because the job gets easy… but because the system stops working against you.
That’s what UserEvidence AI enables.
See how customers use it in action — join us April 15
On Wednesday, April 15 at 12 PM EST, we’re talking with marketing leaders from Productboard, Recorded Future, HUMAN Security, and Commvault about how they’re using AI to scale customer proof and advocacy today.
No “AI is going to change everything” talk. Just specific workflows, real results, and where human judgment still matters most.
Register right here to join us.
