In paid search, branded queries have always sparked debate:
are you paying for clicks you’d get for free via organic, or driving true
incremental value? In a recent conversation, Kevin Lee and Matt LeBaron,
founder and CEO of Revvim, explored how agentic AI is changing that
conversation, and the underlying economics of search.
Matt has deep roots in both paid search and SEO, going back
to 2004, and even authored the original Wikipedia article on Quality Score.
That history gave him a front-row seat to a persistent problem: advertisers
overpaying for uncontested branded searches; situations where a brand
already owns the top organic listing and no competitor is bidding on its name.
Revvim’s answer is Ad AI, an agentic AI platform
launched in 2020 that continuously monitors the search results for changes in
competitive pressure. When it detects that a brand query is uncontested, Ad AI
automatically swaps to lower-cost ad variants, typically within about eight
minutes and forty-five seconds of a change in the auction landscape. The
result: roughly 30% savings on branded search spend and over $100
million in reclaimed budget across hundreds of enterprise and agency
clients.
Early on, Ad AI experimented with simply shutting off
cannibalistic brand ads. But that approach sacrificed valuable sitelinks,
promotional messaging, optimized landing pages, and crucial analytics that are
difficult to recover from organic traffic alone—especially post “keyword not
provided.” Data showed it was far better to keep brand ads live 100% of
the time, but at much lower cost when no competitor is present.
As Google rolled out Performance Max (PMax), Revvim had to
adapt again. PMax would sometimes fill gaps when brand ads were removed,
undermining the strategy. Today, Ad AI is designed to ensure manually
structured campaigns with exact match keywords retain priority over PMax, and
it now extends into Shopping and PMax Shopping—including the ability to
run full-price product listings at lower bids when there’s no competition in
the shopping block.
Perhaps the most disruptive evolution is Ad AI for
Conquest. Instead of only defending your own brand terms, Ad AI can monitor
competitors’ brand queries and automatically launch low-cost conquest ads when
they stop defending themselves—during budget outages, brand holdout tests, or
SEO-only periods. This creates a new model: on-demand, low-cost
conquesting that capitalizes on higher click-through rates and better
quality scores when you’re the only ad on the page.
Layered on top of this is a broader shift toward GEO (generative engine optimization) and AI search. Kevin and Matt argue that while AI answer engines are reshaping research intent, traditional search still dominates high-value engagement intent. The smart move today is a balanced one: invest in PR, community engagement, and strong content that naturally improves AI visibility, while letting agentic AI quietly optimize bids, protect brand terms, and unlock new growth from what used to be wasted branded spend.