What is GEO, and how is it different from SEO?

AEO and GEO share techniques such as question-based headings and direct-answer blocks, but they target different surfaces: AEO targets the answer features Google curates, and GEO targets responses that AI models generate.

Google's documentation says no additional requirements or special optimizations are needed to appear in AI Overviews or AI Mode, and that existing SEO fundamentals remain worthwhile. A page has to be indexed and eligible to show with a snippet. Google also describes query fan-out, where its AI features run several related searches across subtopics, which can surface a wider set of links than a single search would.

So a site that fails at SEO has little to gain from GEO on Google. The basics come first.

The term was introduced in a paper presented at KDD 2024. In its benchmark, adding citations, quotations and statistics to source content raised visibility in generated answers by 30 to 40 percent on its word-count metric and 15 to 30 percent on its subjective one, while keyword stuffing offered little or no improvement. Results varied by subject area.

Lower-ranked sites gained the most. When every source in a result was optimized at once, adding citations raised visibility by about 115 percent for the site ranked fifth in search and lowered it by about 30 percent for the top-ranked site. These were controlled experiments, so they show direction rather than a promise for any one brand.

• A clear entity graph: Wikidata and consistent structured data, so engines can tell who a brand is.
• Self-contained answers: passages that state a fact directly and still make sense when quoted alone.
• Authority on trusted platforms: presence on the sources each engine relies on, such as Reddit, YouTube and industry press.
• Freshness: current content with real update dates.
• Crawlability: a December 2024 Vercel analysis found that the crawlers from OpenAI, Anthropic, Meta, ByteDance and Perplexity didn't render JavaScript, while Gemini and AppleBot did. Key content belongs in the server-rendered HTML.

AI answers vary from run to run, so one screenshot proves little. Take a fixed set of the questions buyers ask, run each several times on each engine, and report the share of runs that cite the brand. Set that baseline first, then re-measure at intervals. AEO features can change within weeks; GEO tends to move over months.

1. Check that search engines and AI crawlers can read the site, with key content in the HTML.
2. Make the brand unambiguous: Wikidata, and structured data that agrees with it.
3. Put direct answers on the pages for the questions buyers actually ask.
4. Earn mentions on the sources engines already cite for your category.
5. Measure a baseline, then re-measure.

S77.AI's GEO & AEO practice audits these signals, prioritizes the gaps and tracks the citation rate over time.