What Is Generative Engine Optimization (GEO)?

If you have searched for something on Google recently, you have probably noticed a change. Before the traditional list of blue links, an AI-generated summary now appears at the top of the page. That summary cites a handful of sources. If your brand is not one of them, a growing number of potential customers will never see you.

GEO is the discipline that addresses this shift. It is not a replacement for traditional SEO. It is an additional layer that ensures your brand is visible not just in search rankings but in the AI-generated answers that are rapidly becoming the primary way people discover products, services, and information online.

How GEO differs from traditional SEO

Traditional SEO focuses on ranking web pages in search engine results. The goal is to appear as high as possible on the page so that users click through to your website. The mechanics involve keyword optimization, backlink building, technical site structure, and content quality.

GEO shares that foundation but adds a different objective: earning citations in AI-generated answers. When an AI search engine responds to a query, it does not simply display a list of pages. It synthesizes information from multiple sources into a single coherent answer and attributes that information to specific sources. The brands and websites that earn those attributions receive a new form of visibility that exists above and before traditional search results.

The practical differences are significant. In traditional SEO, ranking on page one puts you in front of users who then choose which result to click. In GEO, being cited in an AI answer means the AI has already recommended you. The user arrives at your site pre-qualified, having been told by a trusted AI assistant that your brand is relevant to their question.

This difference shows up in the data. AI-referred traffic converts at approximately 14.2 percent, compared to 2.8 percent for traditional organic traffic. That is roughly a five-times quality premium on every visitor who arrives through an AI citation.

Why GEO matters now

The scale of this shift is not speculative. As of early 2026, AI Overviews appear in approximately fifty to sixty percent of all United States searches. For B2B technology queries, that figure rises to about seventy percent. When an AI Overview appears, only about eight percent of users click a traditional organic result, down from fifteen percent when no AI summary is shown.

For SaaS companies and startups, this is especially urgent. SaaS buying journeys begin with exactly the kinds of questions that AI answers handle well. Queries like “What is the best CRM for small teams” or “Alternatives to Salesforce for startups” reliably trigger AI-generated responses. Those responses typically cite only three to four brands. If there are fifty relevant products in your category and an AI response mentions four, your odds of appearing in any single answer are roughly six to eight percent — unless you have a strategy for improving those odds.

How AI search engines choose their sources

Understanding GEO requires understanding how AI search engines decide which sources to trust and cite. The mechanics differ across platforms, which is why a single approach is not sufficient.

Google AI Overviews

Google AI Overviews use a technique called query fan-out. When a user enters a query, the AI does not simply grab the top-ranking result. It generates related sub-queries, searches for results across all of them, and synthesizes a response drawing from multiple sources. Pages that rank for these fan-out queries are 161 percent more likely to be cited than pages that only rank for the original query. On average, Google AI Overviews cite about 7.7 sources per response. Reddit accounts for approximately twenty-one percent of all AI Overview citations, making it the most cited domain. YouTube follows at about nineteen percent.

ChatGPT

ChatGPT shows a strong preference for encyclopedic, authoritative content. Wikipedia accounts for nearly 47.9 percent of ChatGPT’s top-ten citations. The platform favors clear definitions, consistent explanations, and strong entity signals. An important technical detail is that ChatGPT Search uses Bing’s index, not Google’s. Brands that have not submitted a sitemap to Bing Webmaster Tools may be invisible to ChatGPT entirely.

Perplexity

Perplexity is where Reddit’s influence becomes most pronounced. Reddit accounts for 46.5 percent of Perplexity’s citations. The platform favors recency, community validation, and niche specificity. It provides the widest brand coverage among major AI platforms, averaging about thirteen brands per response. Perplexity shows only about twenty-five percent duplication across its sources compared to Google, which means newer and fresher content has a genuine opportunity to earn citations.

Gemini

Google’s Gemini relies heavily on YouTube and multimodal content. A critical insight about Gemini is that informational prompts containing phrases like “how to,” “best practices,” and “techniques” trigger web search one hundred percent of the time, while recommendation prompts like “recommend ten companies” trigger web search zero percent of the time. Brands that focus only on listicle-format content miss the entire informational query category on Gemini.

Microsoft Copilot

Copilot shows a strong preference for established business publications, with Forbes receiving significantly more citations than other sources. It blends traditional SEO signals with AI-friendly formatting and rewards clear structure combined with authoritative information.

The three pillars of GEO

Effective Generative Engine Optimization rests on three interconnected pillars. Cory Maki’s ARC Method organizes these into a structured framework for SaaS companies and startups.

1. Audit — understanding where you stand

Before optimizing anything, you need to know how your brand currently appears — or fails to appear — in AI-generated answers. This means systematically querying AI platforms with the prompts your customers would use and tracking which brands get cited, where you appear, and where competitors are winning citations you should own. Most SaaS companies have never done this. It is the essential first step.

2. Off-site authority — Reddit and reputation

AI search engines draw heavily from third-party sources, particularly community platforms. Reddit’s dominance in AI citations is the most significant data point in GEO today. Reddit accounts for over twenty percent of Google AI Overview citations and nearly half of Perplexity’s citations. For SaaS companies, strategic Reddit engagement — contributing genuine expertise to relevant communities — is the single highest-leverage tactic available for earning AI visibility. Beyond Reddit, cross-platform brand consistency, YouTube presence, earned media, and authoritative third-party mentions all contribute to the off-site signals that AI models use to determine trust.

3. Citability — making your website AI-ready

AI systems extract individual passages from web pages, not entire pages. Content must be structured so that each section is self-contained, leads with a clear definition sentence, and contains specific verifiable claims rather than vague marketing language. Technical elements matter as well: schema markup helps AI classify your content, robots.txt files must allow AI crawlers access, and sitemaps should be submitted to both Google and Bing. Unverifiable superlatives like “industry-leading” or “revolutionary” actively reduce citation probability by triggering AI content quality filters.

GEO is an evolution, not a revolution

There is considerable hype in this space. Some vendors and practitioners present GEO as an entirely new discipline that requires entirely new tools, strategies, and budgets. This overstates the case.

As Google’s Danny Sullivan has stated, optimizing for AI search is largely the same work as traditional search optimization. Ryan Law from Ahrefs has made a similar point: whether you call it GEO, LLMO, or AEO, it comes down to doing good SEO. David Quaid, a respected SEO strategist, has gone further, arguing that much of the GEO tool ecosystem is designed to create a separate budget line item for work that is fundamentally an extension of existing SEO.

The perspective that reflects reality is this: GEO is a layer you add on top of strong SEO fundamentals. The foundation — technically sound websites, genuinely useful content, real authority built over time — remains essential. What GEO adds is a targeted set of practices around content structure, platform-specific optimization, community engagement, and cross-source consistency that improve the odds of AI citing your brand when it generates an answer in your category.

For SaaS founders and startups who already invest in SEO, the incremental effort is manageable. For those who do not yet have an SEO foundation, GEO is not a shortcut. It builds on top of the fundamentals, not around them.

Frequently asked questions about GEO