Search is changing faster than most enterprise marketing teams have adjusted to. Google's AI Overviews now sit above the traditional blue links for a growing share of queries, synthesizing answers from multiple sources instead of sending searchers to a list of websites. Recent industry analysis found that when an AI Overview appears, the top-ranking organic page can see a dramatically lower click-through rate than it would without one. For enterprise brands, the implication is blunt: ranking #1 in traditional search no longer guarantees visibility. What matters now is whether your brand gets cited inside the AI-generated answer itself — a discipline increasingly called generative engine optimization, or GEO.
Generative engine optimization is the practice of structuring your brand's online presence — reviews, content, and structured data — so that AI systems (Google's AI Overviews, ChatGPT, Perplexity, and similar tools) are more likely to surface and cite your brand when answering a relevant question. Unlike traditional SEO, which optimizes for a ranking position, GEO optimizes for inclusion in a synthesized answer.
For enterprise brands with a national or multi-regional footprint, this shift changes where marketing investment needs to go. A perfectly optimized landing page matters less if the AI answer engine is instead pulling its summary from your review profile, your local listings, or third-party commentary about your brand.
This is the part most enterprise SEO strategies haven't caught up to yet: reviews aren't just a local-search ranking factor anymore, they're training data for how AI systems summarize your brand. When an AI Overview answers "best [category] near me" or "is [brand] good for [use case]," it's drawing on the same review signals — volume, recency, sentiment, and specific language — that used to only matter for the map pack. A brand with a steady stream of fresh, specific, keyword-rich reviews gives these AI systems more (and better) source material to cite favorably.
That means the review-generation infrastructure enterprise brands built for local SEO is now doing double duty as their AI-search infrastructure — but only if it's actually producing the right kind of content. Vague, one-line reviews give AI systems very little to work with. Detailed reviews that mention specific products, use cases, and outcomes give AI systems exactly the kind of source material that gets surfaced and cited.
For enterprise brands, GEO isn't a replacement for local SEO — it's the next layer built directly on top of the same review and reputation signals. The brands that treat review generation as core AI-search infrastructure, not just a reputation nice-to-have, will be the ones AI Overviews actually cite. Pruvvn is building GEO analysis directly into its platform: gathering customer reviews and analyzing their SEO and AI-search signals to make specific recommendations on how to improve visibility inside AI-generated answers, not just traditional rankings.
Talk to Pruvvn about how enterprise review data is evolving into your brand's AI-search visibility strategy.
GEO is the practice of structuring a brand's online presence — reviews, content, and structured data — so AI systems like Google's AI Overviews, ChatGPT, and Perplexity are more likely to surface and cite the brand when answering a question. Unlike SEO, which optimizes for a ranking position, GEO optimizes for inclusion in a synthesized answer.
Reviews are training data for how AI systems summarize a brand — AI Overviews draw on the same review signals (volume, recency, sentiment, specific language) that used to only matter for the map pack.
Audit review depth, not just volume, standardize review generation across every location and channel, monitor how the brand is described in AI-generated answers, and treat review responses as part of content strategy.
No — when an AI Overview appears, the top-ranking organic page can see a dramatically lower click-through rate than it would without one. What matters now is getting cited inside the AI-generated answer itself.