Wil Reynolds

Wil Reynolds is founder and CEO of Seer Interactive. The agency's GEO Olympics study analyzed more than 231,000 LLM responses across seven platforms, giving marketers a rare multi-engine snapshot rather than a single-chat anecdote.

Seer's three-part series on AI Overviews and click-through rates is widely cited in planning decks. It addresses a hiring question buyers actually ask: when Google shows an AI overview, what happens to clicks, and what should a brand do about it? The 2026 CTR update is the latest chapter.

Large, public studies are expensive. Reynolds's willingness to keep funding them is part of why Seer shows up in so many competitive GEO conversations.

Reynolds's public style also matters. He tends to show the messy parts of the research, including what surprised Seer's team. That candor is why the CTR series gets forwarded inside companies that are tired of vendor certainty.

Reynolds also launched a Local GEO Academy that pays young people to learn and test AI search. The program is unusual in a field that often talks about talent shortages without funding paths into the work.

Together, the large studies and the academy reflect a builder profile: produce data teams can use, and grow the people who will run the next round of tests. That combination is rarer than either piece alone.

For local and mid-market brands, the academy also signals that Seer is thinking about who will do the work, not only which slide wins a pitch.

Multi-platform sampling in GEO Olympics likewise pushed peers past single-engine storytelling. Seven platforms in one study is harder to hand-wave than a ChatGPT screenshot week.

Seer's habit of publishing multi-engine studies also pressures peers to widen their samples. Single-platform storytelling looks thinner next to GEO Olympics-scale work.

Start with Seer's 2026 update on AI Overviews and click-through rates. It continues the CTR research thread that made Seer's AI work widely referenced, and it is written for people who have to brief executives with charts.

Local GEO Academy work also keeps Seer's research from floating free of delivery. Paying people to learn and test AI search creates a feedback loop between study design and street-level practice.