GEO vs SEO: What Actually Changes for AI Search (and What Doesn't)

GEO (generative engine optimization) aims to get your content used and cited inside AI-generated answers; SEO aims to rank pages in search results. Because AI search tools retrieve their sources from search indexes, roughly 80 to 90 percent of the work is identical: crawlable, indexed, fast pages with genuinely useful content. What changes is the outcome you measure (citations and mentions, not just positions), the extra weight on specific facts and a consistent business identity, and the need to allow several AI crawlers. Google's own position is that optimizing for its AI features is still SEO.

The term was introduced in a 2023 paper, *GEO: Generative Engine Optimization* by Pranjal Aggarwal and colleagues (published at KDD 2024). The researchers tested how changes to page content affected visibility in generative answers and found that adding citations, quotations from relevant sources and statistics improved visibility in their benchmark, while keyword stuffing did not.

That finding is useful but narrower than it is often presented. It was measured on a research benchmark, with specific engines at a specific time. Its practical lesson matches what Google now says: pages that contain specific, verifiable information get used; padded pages do not. It does not establish a separate discipline with its own ranking factors.

Every AI search system needs to find your page before it can use it. Google's AI Overviews and AI Mode use Google's index; Copilot leans on Bing; ChatGPT and Claude run their own search crawlers alongside partner indexes. So the fundamentals carry straight over: allow crawlers, render content in HTML, keep URLs canonical, submit sitemaps, fix broken internal links, keep pages fast and write for people first.

Google's May 2026 guide is explicit that its AI features run on its core ranking and quality systems and that SEO best practices remain relevant. It also lists several popular GEO tactics as unnecessary: llms.txt files (ignored by Google Search), chunking content into small pieces, writing in a special AI style and adding special schema markup.

There are real differences, and they deserve budget once the basics are sound.

Query fan-out rewards depth across subtopics. AI Mode and AI Overviews can issue several related searches behind one question. A page that covers the decision thoroughly (options, costs, trade-offs, edge cases) has more chances to be retrieved for one of those sub-searches than a page optimized for a single phrase.

Specific facts beat general claims. A generated answer needs passages that support specific statements. Prices or pricing models, specifications, timelines, eligibility rules, process steps and honest comparisons are the material that gets cited.

Your business identity has to be consistent. When an assistant describes your company, it reconciles your site with directories, profiles, reviews and articles. Inconsistent names, service lists or locations produce vague or wrong descriptions.

More crawlers matter. Traditional SEO could focus on Googlebot and Bingbot. AI search adds OpenAI, Anthropic, Perplexity and others, each with separate training and search bots. See the AI crawlers and robots.txt guide.

Measurement shifts from clicks to presence. A citation can inform a buyer without a click. You need AI impression data, AI referral data and periodic answer checks, not just rankings.

For most businesses AI assistants still send far fewer visits than traditional search, but the share is growing and the visits tend to arrive later in the decision. Google reported in 2026 that AI Overviews reach billions of users each month, and AI Mode use has grown quickly. That reach shows up mostly as impressions and brand familiarity, with clicks concentrated on queries where people need details, comparisons or to take an action.

The right response is not to chase AI traffic for its own sake but to make sure that when an AI answer covers your category, it describes you accurately and links to the page that helps the buyer decide.

Use your current state to pick the next step rather than buying a new service line.

Treat these as one programme. Each item helps both channels.

GEO is best understood as SEO for a new kind of result page. The foundations are shared, Google says so directly, and most of the value comes from doing them properly. The genuine differences (subtopic depth, citable facts, consistent identity, more crawlers and new measurement) are worth adding once the basics are in place. For the practical steps, start with how to make your website discoverable in AI search.