The following is a guest piece written by Abigail Niziankiewicz, vice president of strategic investment at Mediassociates. Opinions are the author’s own.
For years, marketers have understood visibility through the familiar language of search: rankings, keywords, clicks, paid placements and page-one results. If a brand showed up in the right place with the right keyword strategy, you won the visibility game.
AI search is changing that — and the implications reach further than most media teams have started to reckon with.
In fact, 37% of consumers now start their searches with AI tools instead of Google or Bing, according to research my team and I conducted for Mediassociates' Marketers' Guide to AI Discoverability. Another 60% of searches already end without a click — users getting answers directly from AI summaries without ever visiting a website. These aren't fringe behaviors. They're mainstream, and they're accelerating.
The zero-click problem is a paid media problem
Here's where this gets urgent for media planners specifically. As AI Overviews and AI-generated answers increasingly dominate search results pages, organic and paid traffic are both under pressure. When an AI Overview appears for a query, the click-through rate for the top organic listing drops by roughly a third. Paid search, which has always operated at the point of highest intent, now competes with an answer layer that resolves the question before a user ever sees an ad.
This doesn't mean traditional search principles are going away — far from it. Traditional SEO and paid search remain foundational, and AI systems rely on many of the same underlying signals to find and evaluate information. But the efficiency of that investment increasingly depends on something most paid media plans haven't fully accounted for: whether your brand shows up in AI-generated answers.
A brand that earns inclusion in an AI answer before a user even formulates a search query is in a fundamentally stronger position — both in paid and organic — than one that doesn't. And when AI-referred traffic does arrive, research shows it converts at up to four times the rate of traditional organic search traffic. The brands winning AI visibility aren't just capturing more attention, they're capturing better attention.
Search is now a total ecosystem
Winning in this environment requires thinking about paid search, organic SEO and AI visibility not as separate channels but as a single, integrated system. Each layer reinforces the others. Strong SEO signals improve AI extraction. AI visibility drives brand familiarity that improves paid conversion rates and mitigates zero-click searches. Earned publisher coverage and community presence generate the external authority signals that fuel all three.
That last piece is where unpaid media comes in — and why it's moved from a secondary consideration to a core part of the media planning equation. And really, let’s call it what it is — a convergence of paid, owned and earned media — the marketing trifecta.
AI systems don't reward popularity, they reward probability — specifically, how confident the model is that what a brand claims is reputable. When a user asks an AI tool for the best option in a category, the model is cross-referencing product specs, consumer reviews, and third-party sources in real time. Every fact gets assigned a confidence score — measured by backlink quality, media coverage, domain authority and other signals of trust. The brands that surface are the ones with the most consistent, verifiable presence across the sources those systems already trust.
Publisher coverage, trade and industry mentions, social discussion, forums, Reddit threads, YouTube videos, and all forms of expert validation shape how a brand is understood beyond its own channels. AI engines are three times more likely to cite premium publisher content than brand-owned content. That means earned media and community discussion aren't soft brand-building exercises anymore — they generate the external authority signals that determine whether your brand gets recommended in the first place.
Visibility is no longer about appearing on a results page
When my team and I built out the research and framework behind the Marketers' Guide to AI Discoverability, one of the things that struck me most was how decisively AI search narrows the consideration set before a consumer ever sees a list of options. In traditional search, there was always room to be somewhere on the page, even if it wasn't the top result. In an answer engine environment, if your brand isn't in the top recommendations an AI tool surfaces, it may never enter the consumer's consideration set at all.
That makes the real question for marketers one that isn’t about rankings: Is the brand credible enough to show up in the answer?
Credibility, it turns out, is now a discoverability asset. It rewards brands that are clear, consistent, and verifiable across the full information ecosystem. A campaign that says a brand is trusted or best-in-class but has little outside proof of that claim gives AI systems nothing to work with. But when that same story shows up across a brand's website, reviews, publisher coverage, social conversation and third-party mentions, AI systems have a consistent, corroborated picture to draw from — and they will.
What media teams need to do differently
The starting point is an honest audit: understand how AI engines currently perceive your brand versus competitors, and identify the questions consumers in your category are most likely to ask AI tools. From there, the work is to standardize your story — ensuring owned content is technically structured, consistently answer-first and easy for AI systems to parse — and to build the external signals that confirm that story across the platforms AI systems trust most.
Measurement needs to evolve alongside strategy. Clicks and conversions still matter, but they don't capture the full picture when consumers are forming preferences inside AI-generated answers before a paid search interaction ever happens. Metrics like AI Overview inclusion rate, LLM brand mentions and citations, and share of voice in AI-generated responses are becoming as important as traditional search rankings.
This requires closer coordination across paid media, SEO, content, PR, social and analytics than most organizations are used to. Media teams don't need to own all of those functions — but they do need to understand how they work together. AI visibility won't sit neatly in one department.
Build proof before promotion
The media planner's job is expanding: not just deciding where a brand buys attention, but ensuring the brand has enough proof in the market to be recommended in the first place.
In the AI search era, the brands that win will be the ones whose owned claims are confirmed by the sources AI systems already trust. So yes, ask "Where are we advertising?" That question still matters as much as it ever did. But pair it with another: "What does the internet reliably confirm about us — and is that enough for AI to recommend us?"
Those two questions, asked together, are what a modern search strategy looks like.
