For years, partnerships teams have worked with publishers, affiliates and creators who publish content about their products and earn a cut when they drive a signup or sale.
Now, in this era of AI visibility, that same content matters for a different reason. AI tools cite third-party sources far more often than a brand's own pages, so you’re more likely to show up in an answer when several outside sources recommend you. For early-stage commercial searches, brand mentions are 6.5 times more likely to come from a third-party source than from the brand's own content, according to an AirOps analysis.
There’s a unique opportunity for partnerships here. You’ve built the content and the relationships, now it's time to own the work. AI visibility is still unclaimed inside most companies, and the partnerships leader who turns it into a system, instead of a side project, becomes far more valuable as AI search grows.
We spoke with Taylor Kendrick, Director of Partnerships at PartnerStack. In this piece, we share:
- Why owning AI visibility matters for partnerships
- How to build your AI visibility strategy into a repeatable system
- How to prove its value to leadership and get their support
AI visibility is here to stay
Is AI visibility just a current trend? Should you put real effort into it or wait and see? Fair questions. We've all watched marketing trends come and go, so a little skepticism is healthy.
But plenty of evidence suggests AI visibility is more than the channel of the moment. More and more buyers are starting their product research in AI tools instead of Google. In a 2025 McKinsey survey, half of consumers said they now use AI search engines, and 44 per cent of them call it their go-to source for insights, ahead of traditional search.
This isn't a behavior that will reverse with time. The same McKinsey analysis projects that $750 billion in US consumer spend will flow through AI-powered search by 2028. And people working in the industry think similarly. Kendrick expects it to stay relevant for years, and believes the brands moving on it now will be glad they did.
You might also like: How partner leaders can help marketing win AI visibility and prove AEO ROI.
Why partnerships should own AI visibility
AI visibility is new enough that many companies haven't agreed on which department owns it yet, whether that's SEO, PR, content or partnerships. But as a partnerships leader, you're in a great position to run it. SEO and PR help with on-page AI optimization, but AI search visibility runs on third-party content, and that's partnerships territory.
PartnerStack's research found that among top-performing vendors, 43 per cent of the citations AI models use to answer questions about them come from within the PartnerStack partner ecosystem. That’s nearly half the sources shaping AI answers about a top vendor’s category coming from partner content, not the brand's own.
You've spent years finding the right partners, creating content with them and driving revenue from it. No other team has that depth of experience.
You might also like: 10 skills every partnerships manager should have to succeed.
“Third-party content is a motion completely unfamiliar to SEO. It's a little more familiar to PR, but PR only got into affiliate content in the past three or four years. Affiliate marketers have been doing it for 10, 20, 30 years,” Kendrick says.
Owning AI visibility doesn’t mean taking over everyone else’s job. SEO still owns on-page optimization and crawlability. Content still builds the assets partners point to. Demand gen and RevOps still need the visibility data tied to pipeline, not just citation counts. What partnerships owns is the part nobody else has the relationships to run: recruiting and briefing the third-party sources AI tools actually cite.
Affiliate marketing is part of partnerships, so this is your work to claim. The next step is to operationalize AI visibility. This means creating a system that makes AI visibility a real, recurring part of your role instead of a side project.
Build your AI visibility strategy into a repeatable system
A system runs on a schedule and lets you grow your AI visibility without so much manual work. That lane comes down to three parts: what you track, who you activate and how you stay updated. Here's what an AI visibility operating model looks like.
Track prompt clusters, not individual prompts
Ask any AI tool the same question 100 times, and you'll get a different answer almost every time. That's because these tools don't pull from a fixed ranking the way Google does. They generate a fresh response on each run and tailor it to who's asking.
Case in point: when Rand Fishkin and a team of collaborators tested this, they found AI tools rarely return the same list of brands twice, less than 1 in 100 times, no matter the question, and almost never in the same order. So tracking one exact prompt and where you rank on it tells you very little.
Instead, track clusters. A cluster is a group of related questions about the same topic. Watching the group rather than a single prompt gives you a more accurate read on whether you're winning a topic overall.
There are a few places to find the prompts to build your cluster:
- Questions you’re already ranking for on Google Search Console and “people also ask” results
- Discussions on Quora and Reddit
- Your call transcripts and support tickets
- Prompt generators
- Directly asking an LLM
Once you have a list, sort related prompts into clusters that make sense for your business, e.g., by product use cases, competitors and alternatives, funnel stage or brand-specific prompts. Then whittle each cluster down to 10 to 20 prompts, so you can act on it easily.
Activate partners to win essential answers
Once you have your clusters, decide which partners will help you win each one. Start by signing up for an Answer Engine Optimization (AEO) platform like Profound or Scrunch, then track those clusters. You'll see which publications AI tools cite for a given prompt, so you can either recruit those same publications into your program or brief existing partners to create content that earns citations on the topic.
Kendrick recommends starting with the bigger publications — the ones that show up most in your citation reports. Once you have those, go after the long-tail partners — the niche bloggers and smaller sites that each reach a few hundred or a few thousand readers. They're small, but they cover the specific questions specific buyers ask. A focused industry blogger writing about one subject can win a narrow, persona-level prompt that a large publisher covering hundreds of categories never targets.
However, this only works if the partners create genuinely useful content. Otherwise, the LLMs won't cite them, and the whole approach falls apart.
“You want high-authority, trusted publications that aren't just praising your product because they're paid, but are actually giving the reader valuable insight. You can't game the system,” says Kendrick.
See more: PartnerStack and Profound connect AI visibility to revenue through new integration.
Automate your reports and act on findings
Tracking performance manually means you'll miss things, because AI visibility changes faster than you can monitor on your own. You need to automate the reporting.
Set your AEO platform to run your clusters on a schedule and send you a weekly or biweekly citation report by email or Slack, showing your mention rate, citation share, share of voice and position so you can see whether you're gaining or slipping.
On top of the regular report, set alerts for the prompts you're most interested in, so the platform tells you the moment your visibility drops below a set point.
Then act on what you find. For instance, if a new prompt starts showing up in your reports that none of your partners cover, add it to a cluster and assign a partner to it.
The same rule applies to the system as a whole: you can’t fake this. A cluster list with no one assigned to review it goes stale. Partners who get briefed once and never again drift off-topic. A report nobody reads past the first month stops getting sent. Standing up the system is the easy part — someone still has to own it end to end, or it quietly reverts to a side project.
How to frame this work to get leadership buy-in and budget
You've built the system — the foundation of your AI visibility strategy — now it's time to show leadership your progress. This isn't straightforward because attribution is difficult for AI visibility.
No single tool captures every buyer influenced by AI, since most won't click straight from an LLM to your site. Someone might read your name in ChatGPT, then search for you directly a week later or remember you when a colleague asks for a recommendation. Last-click affiliate attribution catches that final touch, but the influence happened weeks earlier and gets credited to the wrong place, or to nothing at all.
So gather as much evidence as you can from sales calls, your AI visibility platform and the referral traffic from LLMs. Group it into hard numbers, like direct attributable traffic, share of voice, and your AI visibility score, and softer signals, like what prospects say on sales calls or forms, and rise in branded search. For a closer look at how revenue teams are building this measurement layer, see how RevOps teams are fixing CRM data for AI-attributed pipeline. Put these into a report, tell the story of your progress over time, then bring it to leadership.
Still include a caveat: because it’s all so new, the attribution will never be perfect, but waiting is costlier.
“We're going to have to live in this world of opacity. The brands that are willing to accept that we won't have 1,000 per cent accuracy are the ones that are going to move the needle early, and it will really pay off for them long term. The brands that wait until they can be 1,000 per cent sure are going to suffer in the long term,” Kendrick says.
The cost of waiting
You’re not too late to leverage this partnerships strategy — but the longer you wait, the more expensive AI visibility gets. Soon, publishers and affiliates whose content AI tools cite will start charging more as they realize their value in AI search, so the brands moving now get in while it’s still cheap.
If you can own AI visibility and run it as a system on top of that head start, you become the go-to person as AI search keeps growing — and that makes you more valuable to your company.
“If you think it's expensive now, it's only going to get more expensive. The more publishers recognize they're showing up in LLMs, the more they raise their prices. A brand that does the work right now will have a huge advantage in the years and decades to come," says Kendrick.
That’s easier to act on with the right infrastructure. PartnerStack makes the work easier once you're managing dozens of partners and publications. Our software automates partner payments and helps you see which partners are contributing to your visibility — so you can run your AI visibility program with less effort.
