Why 'Good SEO Is Good GEO' - And Where That Advice Falls Short

Google wants you to believe that nothing has changed. At a keynote in late 2025, Danny Sullivan, a director within Google Search, declared: "Good SEO is good GEO." The message was clear: keep doing what you've been doing. Create helpful content. Provide a great page experience. Don't panic. He's not entirely wrong. But he's not entirely right, either. And if you take his advice at face value - if you treat GEO as nothing more than SEO with a trendy new acronym - you'll miss a structural shift that's already reshaping how your audience discovers and evaluates your brand. As EMARKETER principal analyst Nate Elliott pointed out, "The biggest misconception is that good GEO is good SEO. And then on the flip side: The biggest misconception is that GEO is 100% different from SEO." The truth lives in the uncomfortable middle. And that's where the real work begins.

What Danny Sullivan Actually Got Right

Let's give credit where it's due. SEO fundamentals still matter for GEO, but for a different reason than in traditional search. In AI-driven discovery, these fundamentals influence retrieval, interpretation, and attribution rather than rankings alone. They create the baseline conditions that allow AI systems to retrieve information, interpret it accurately, and attribute it to a source with confidence.

This is measurably true. According to Ahrefs, 76.1% of URLs cited in Google's AI Overviews also rank in the top 10 of Google search results. For AI Overviews specifically - which remain the largest single AI search surface - your traditional ranking performance is the primary predictor of whether you'll be cited. The overlap extends to several core practices:

• Topical authority:

If a page lacks clear topical focus, it becomes harder for AI systems to extract a self-contained passage that answers a specific query. Tightening that focus isn't just good SEO; it's the foundation of being visible in AI-generated responses.

• Technical health:

Indexability, crawlability, structured data, and user experience improvements you've already made for SEO all contribute to your GEO efforts.

• Content quality:

Brands that publish proprietary research, case studies with specific results, and expert analysis have a competitive advantage. Generic advice that restates common knowledge doesn't differentiate your content.

As 35-year SEO veteran Grant Simmons put it: "It's the same if you're doing it well. It's not the same if you weren't. And of course, there's nuance." That nuance is where most practitioners trip.

The 12% Problem: Why Rankings Alone Don't Guarantee AI Citations

Here's the data point that shatters the "good SEO is good GEO" narrative as a complete strategy: In a dataset of 15,000 prompts, Ahrefs found that on average only 12% of links cited by ChatGPT, Gemini, and Copilot appear in Google's top 10 results for the same prompt. Roughly 80% of those citations don't rank anywhere in Google for the original query.

Read that again. Four out of five pages that AI assistants cite have zero organic visibility for the queries they're answering.

AI Overviews follow the SERPs - AI assistants don't. This distinction matters enormously because the AI assistant ecosystem is growing fast. 810 million people use ChatGPT daily, and Google AI Overviews reach 1.5 billion monthly users.

The divergence gets sharper when you examine how ChatGPT specifically retrieves information. 83.39% of ChatGPT's chosen results don't appear in Google's search results at all for the same fan-out queries. ChatGPT likely uses a hybrid approach - drawing from Google SERPs, Bing SERPs, its own index, and potentially third-party search APIs - then combines all URLs and applies its own re-ranking algorithm.

Various biases and different methodologies mean that even for the same queries, AI systems may cite completely different websites. There are additional biases introduced based on the types of sites blocking AI bots and whether platforms render JavaScript.

What does this mean practically? If you rank #1 on Google for "best project management software" but ChatGPT never cites you, you're invisible to a large and growing segment of your audience. Your SEO is working. Your GEO is not.

Five Specific Places Where SEO Falls Short for GEO

1. The Unit of Optimization Is Different

Traditional SEO optimizes at the page level. You write a comprehensive article, earn backlinks, nail technical performance, and the whole page rises in rank.

GEO optimizes individual sections for retrieval pipelines. Traditional SEO treats the page as the unit of analysis. A page is crawled, indexed, scored against a query, and assigned a position. But large language models retrieve knowledge at the passage level, not the page level. Every paragraph must survive independently. Breaking content into ~800-token blocks is the optimal balance between context retention and embedding efficiency.

A page can rank beautifully and still fail at section-level retrieval. In one January 2026 experiment, The GEO Lab found that structure alone produced a 24 percentage point citation rate difference - a GEO signal that traditional SEO does not address.

2. Entity Mentions Outweigh Backlinks

SEO's authority currency has always been backlinks. Earn links from high-DR domains, and your pages climb.

For GEO, branded web mentions correlate 3x stronger with AI visibility than backlinks alone. This is a fundamental shift in how authority works. AI engines recognize and track entities by how consistently they appear across multiple sources. Even an unlinked mention can influence generative visibility if it reinforces your brand's association with a specific topic.

YouTube mentions and branded web mentions are the top factors that correlate with AI brand visibility in ChatGPT, AI Mode, and AI Overviews. That means your digital PR strategy, your presence on Reddit and LinkedIn, your guest appearances on YouTube channels - all of these now feed into AI citation probability in ways that traditional backlink-focused SEO doesn't address.

3. Conversational Queries Demand a Different Content Architecture

Traditional SEO trained us to optimize for 2-3 word searches like "best GEO dashboard." The average AI prompt, on the other hand, is 23 words long. People don't type keywords into ChatGPT. They ask complete questions, provide context about their situation, and expect personalized guidance.

There's no such thing as an "exact-match AI prompt" because everyone phrases questions differently. Ten people asking about CRM software will use ten different prompts, and the AI can understand them all. That's why the goal isn't to match specific prompts - it's to provide the most complete, clear answer to any question in your space.

This means your keyword research workflow - built on Ahrefs, Semrush, or Google Search Console - is structurally blind to most of the surface area that determines AI citations. A keyword research workflow built on traditional tools will correctly identify primary target terms but will systematically miss the follow-up queries ChatGPT generates - the ones responsible for nearly a third of all citation opportunities.

4. Freshness Carries More Weight

Content freshness has always mattered in SEO, but the penalty for staleness in AI search is steeper. AI platforms cite content that's 25.7% fresher than what appears in organic results. ChatGPT shows the strongest recency bias, with 76.4% of its most-cited pages updated in the last 30 days.

Content with statistics, citations, and quotations achieves 30-40% higher visibility in AI responses, and pages updated within 2 months earn 28% more citations than older content. Your evergreen SEO pillar page that hasn't been touched in 18 months might still rank on Google. It's almost certainly being ignored by AI assistants.

5. Multi-Platform Presence Is No Longer Optional

Traditional SEO is mostly a website game. Optimize your site, build links to your site, measure traffic to your site. GEO requires thinking about your brand presence across every platform AI systems use as source material.

LLMs pull heavily from Reddit, YouTube, and Wikipedia. Reddit alone has 100 million daily active users generating conversations about brands.

Distributing content to a wide range of publications can increase AI citations by up to 325% compared to only publishing content on your own site.

Effective GEO fits into a broader cross-functional strategy including SEO, content marketing, PR, and social media. SEO, content marketing, PR, and social media all contribute critical data that large language models consume to generate their responses. This is a team sport in a way that traditional SEO rarely was.

The Measurement Gap Nobody Talks About

Even if you accept that GEO requires additional tactics beyond SEO, you'll run into a more frustrating problem: measuring it.

Currently unmeasurable: prompt volume (AI platforms don't share query data), why specific content gets cited (LLMs are opaque about selection criteria), and individual source weight when answers blend multiple sources.

Early-stage tools from Semrush, Profound, and Conductor offer tracking, but the category remains immature.

The biggest barrier to GEO adoption is the breakdown of traditional attribution models. Your CFO still wants to see multi-touch attribution in Google Analytics. That was already difficult to prove in SEO. GEO makes it exponentially harder. The "great decoupling" compounds this challenge. Impressions are rising while clicks fall. Your content can now build significant visibility and authority without driving proportional traffic - a fundamental shift that requires rethinking how we measure SEO success.

Around 93% of AI search sessions end without a website click, and AI Overviews reduce clicks to the top-ranking page by 58%. Your SEO dashboards may look stable while your actual brand visibility in AI answers is either thriving or collapsing - and you have no reliable way to tell. The practical implication: you need to build manual monitoring into your workflow. Audit current AI visibility by querying ChatGPT, Gemini, and Perplexity with prompts your customers would use. Note which brands appear and which sources get cited. This is crude, but it's currently the most reliable method available to most teams.

The GEO Hype Trap: What to Avoid

Not everything labeled "GEO" deserves your attention. Lily Ray, VP of SEO strategy at Amsive, warns that there's a whole lot of people who have entered the space in the last year or so with very little experience in the search marketing world, making lofty promises without really understanding how things work.

Some specific red flags: Scaling AI-generated content to chase GEO visibility. People are making a lot of recommendations around GEO, like scaling lots of content with AI really quickly, or building one page for every question people might ask. A lot of these things actually violate Google's guidelines. Since Google's index feeds AI Overviews - which is the largest AI search surface - damaging your SEO directly undermines your GEO. Treating GEO case studies at face value. Many GEO success stories fall into one of two traps: relabeling longstanding SEO tactics as novel GEO innovations, or claiming GEO credit for AI visibility that was almost certainly driven by organic rankings the site already had.

Chasing unproven technical signals. Despite the buzz, Semrush's testing found no correlation between implementing llms.txt and improved performance in AI results.

OtterlyAI concluded that llms.txt is currently a niche, integration-focused standard, not a primary touchpoint for AI search crawlers. Its impact on AI search visibility is marginal at best.

The safest strategy is the boring one: think holistically about how you're going to drive value for customers and produce revenue for the business, as opposed to trying to do trickster things that can actually really backfire.

A Practical Framework: SEO First, GEO Layer On Top

The data points to a clear sequencing. Google's index has become the de facto retrieval foundation for the majority of AI search traffic. Optimizing for Google organic search isn't just good practice for traditional search - it's the primary mechanism by which content enters the context windows of the most widely used AI search products.

Start there. Then build the GEO layer with these specific additions: Structure content for passage-level retrieval. After every H2, include a concise 1-2 sentence answer before expanding into detail. Each section should function as a standalone answer that AI can extract without needing surrounding context. Build entity presence beyond your website. Invest in digital PR, podcast appearances, industry forum participation, and LinkedIn thought leadership. In GEO, brand mentions - even unlinked ones - carry massive weight. Generative engines look for entity prominence. If reputable forums, news sites, and review platforms frequently mention your brand, AI associates your business with authority.

Refresh high-value content monthly, not annually. Update statistics, add recent examples, and ensure your dateModified schema reflects the changes. Updating dateModified in your schema signals freshness to AI crawlers even if the URL doesn't change. This is one of the lowest-effort ways to maintain citation eligibility for evergreen content.

Implement comprehensive schema markup. In March 2025, Google and Microsoft confirmed they actively use schema markup during AI response generation. Microsoft's Principal Product Manager stated that "schema markup helps Microsoft's LLMs understand your content." Prioritize Organization, Article, FAQPage, and Person schema on your key pages. Track AI visibility manually and with emerging tools. Query ChatGPT, Perplexity, and Google AI Overviews with your target prompts monthly. AI recommendations are highly inconsistent - there's less than a 1 in 100 chance that ChatGPT, if asked 100 times, will give you the same list of brands in any two responses. Volume and pattern-level monitoring matters more than individual query results.

Where This Is Heading

According to a 2025 Gartner forecast, organic search traffic to commercial websites will decline by 25% by the end of 2026 as AI-powered answer engines absorb a growing share of information-seeking queries.

44% of consumers now identify AI as their primary information source - ahead of traditional search at 31%.

These numbers will keep shifting. The GEO market, valued at $848 million in 2025, is projected to reach $33.7 billion by 2034. The tools will mature. The measurement will improve. But the fundamental principle is already set: ranking on Google is necessary but no longer sufficient for full search visibility. Danny Sullivan's advice - that good SEO is good GEO - was always meant as a calming signal. And for the Google AI Overviews ecosystem specifically, where 76.1% of cited URLs also rank in the top 10 , it holds up. But across ChatGPT, Perplexity, Gemini, and the growing constellation of AI answer engines, there are clearly other factors influencing what gets cited, beyond just search rankings.

The practitioners who will thrive aren't choosing between SEO and GEO. They're layering GEO-specific practices - passage-level structure, entity building, freshness cadence, multi-platform presence, and citation-oriented content - on top of the SEO foundation that still powers the underlying retrieval systems. That's not the same as "just doing good SEO." It's doing good SEO and then doing more. The difference is real, and it's growing.