Every major advertising channel in history has had a moment where early movers locked in an advantage that later entrants could never fully close. The brands that advertised on Google in 2002 built quality scores, historical performance data, and audience signals that took years for competitors to replicate. The brands that moved into social advertising early in 2010 built audiences before organic reach collapsed.
Generative Engine Advertising is at that moment now.
Why the window is open — and why it will not stay open
The three major GEA channels are at different stages of accessibility:
Google AI Overviews is open to all advertisers today through existing campaigns — but most advertisers are not optimising for it. Ad creative, landing pages, and campaign structures built for traditional search do not perform equally well in AI Overview contexts. The gap between optimised and unoptimised campaigns is widening as AI Overview coverage expands.
Microsoft Copilot is delivering performance metrics that significantly outperform traditional search — 73% higher CTR in Microsoft’s own data — but advertiser adoption remains limited. Most advertisers are still treating Copilot placements as an extension of Bing rather than as a distinct channel with distinct requirements.
ChatGPT is currently restricted to US advertisers with a $200,000 minimum commitment. This will change. OpenAI has signalled expansion throughout 2026. When access opens more broadly, the brands that have already built GEO foundations, tested AI Overview creative, and developed conversational ad frameworks will be able to activate ChatGPT advertising in weeks rather than months.
What structural advantage looks like in GEA
In traditional search, structural advantage comes from accumulated Quality Score, historical conversion data, and brand search volume. In GEA, it comes from different sources:
- Organic AI presence (GEO). Brands that AI models already cite and reference — because their content is well-structured, authoritative, and widely sourced — will have better context for paid placements to amplify. GEO is not a shortcut to GEA; it is the foundation that makes GEA work better.
- Creative learning. Conversational AI contexts require different creative than traditional search. The brands running AI Overview campaigns now are building an understanding of what works — which message types, which call-to-action formats, which intent stages — before the channel is competitive.
- Platform relationships. Early advertisers on emerging channels typically get better access, better support, and earlier notification of new features. This is especially relevant for ChatGPT, where access is currently by invitation.
The cost of waiting
In 2026, most brands are still watching GEA from the sidelines. This feels safe — the channel is new, access is uneven, and the results are not yet as predictable as established platforms. But the cost of waiting is not neutral. Every month spent not building GEO foundations is a month of organic AI citation lost to competitors who are building theirs. Every month spent not optimising for AI Overviews is a month of learning and Quality Score building lost.
The brands that will dominate GEA in 2028 are the ones building their foundations in 2026. Not because they spent more — but because they started earlier.
Sources: Microsoft Advertising — Conversations that Convert · BrightEdge — AI Search Impact · Search Engine Land — Google expands ads in AI Overviews