By David Dweck, Go Fish Digital, President
For brand marketers, the shift from SEO to GEO (Generative Engine Optimization AKA AI Search Optimization AKA LLM Optimization) is often framed too narrowly. The prevailing question tends to be: How do we optimize our website for AI search? That’s a reasonable starting point. But in a Zero Click era shaped by generative AI, treating GEO as a technical evolution of SEO is like playing checkers while your competitors are playing chess.
Classic SEO was largely about future-proofing a website: keywords, metadata, site structure, and the blocking and tackling teams have refined for years.
GEO changes the game entirely
Large Language Models don’t just crawl web pages—they understand content. Across text, image, video, and audio. Across owned, earned, and social channels. Across context, intent, and nuance. Which means the real challenge is no longer website optimization. It’s evolving your brand’s entire content strategy – in every environment possible.
Think Steve Jobs and Apple. Jobs obsessed over how everything looked, felt, and sounded – from product design to packaging to keynote copy. Nothing existed in isolation. In a generative AI world, brands need that same level of orchestration. Winning now requires a comprehensive, disciplined, and deeply intentional approach to content.
Here are two key best practices brands need to adopt if they want to lead—not follow—in the SEO-to-GEO transition.
Build Content for Every Ideal Customer Profile, Relentlessly
The first rule of GEO is simple but unforgiving: every piece of content must map to a clearly defined Ideal Customer Profile (ICP) and the specific questions that ICP might ask at any point in their journey.
In the pre-generative AI era, brands could get away with broad personas and generic messaging. Search engines rewarded relevance at a keyword level, not at a human level. LLMs are different. They are hyper-personalized by design. They infer context, preferences, behavior, and intent—and they deliver different answers to people who look nearly identical on paper.
Two consumers can live in the same city, work in the same industry, earn similar incomes, and ask the same question, “What’s the best cell phone plan for me?”… and receive vastly different answers from an AI search engine. That’s the new baseline.
For brands, this raises the bar dramatically. A telecom provider can’t just talk about “the best family plan.” It must speak distinctly to parents buying their child’s first phone, teenagers upgrading devices, Android-only households, data-heavy gamers, budget-conscious families, and privacy-focused users. That level of granularity is no longer “nice to have.” It’s table stakes.
Practically, this means robust FAQs, deeply specific blog content, explanatory videos, and modular assets that address the minutiae of real consumer needs – All spread across every owned (and earnable) environment a brand touches, not just their own website. Generative AI will read and reward anything that meaningfully serves those needs. Brands that invest in content depth and specificity will be far more likely to surface in AI-driven discovery than those clinging to one-size-fits-all messaging.
Break Down Silos or Be Invisible
GEO doesn’t just demand better content. It demands better organizations.
Historically, SEO teams could operate independently. Social teams posted on their own calendars. PR pushed earned stories in a vacuum. Website teams updated pages on their own timelines. That fragmentation didn’t matter much when search engines indexed pages in isolation.
It matters enormously now.
LLMs synthesize signals across channels. If your social content contradicts your website, if PR coverage doesn’t align with product updates, or if your owned content lags behind what consumers are discussing elsewhere, AI systems will notice. And when ads eventually enter LLM environments, brands with strong organic foundations will be advantaged—while those with fragmented signals may find themselves penalized.
Big brands have historically been able to paper over these issues with budget. Launch a microsite. Run a massive campaign. Buy attention. But AI search doesn’t care how big your media spend is. It cares how coherent, current, and credible your content ecosystem is.
Breaking down silos is no longer aspirational. It’s existential.
This Applies to Every Brand, No Exceptions
It’s tempting for large, established brands to believe they’re insulated. History suggests otherwise.
Sears was once a retail hegemon, dominant with their catalogs, logistics, brand trust, scale. Then Amazon showed up selling books. Sears underestimated how discovery would change when the internet and search engines became the primary gateway to commerce. Its systems, feeds, and content structures were slow to adapt. Amazon, Zappos, and Expedia weren’t just more innovative, they were more digestible to search engines (and thus to first movers on the internet).
The lesson is clear: scale delays consequences, but it doesn’t prevent them.
Whether you’re a Fortune 100 brand or an emerging ecommerce startup, GEO will reshape how consumers find, evaluate, and trust you. The path to irrelevance may be longer for some, but it’s still a path.
In the end, the brands that win when ads arrive in LLMs will be the ones already showing up well organically. They’ll have done the hard work: understanding their audiences deeply, aligning their organizations, and building content ecosystems designed for how discovery actually works now, not how it used to.
SEO was about optimization. GEO is about orchestration. The brands that recognize that difference today will define the market tomorrow.
