SEO vs AEO vs GEO: What's the Difference and How to Run All Three (2026)

SEO earns rankings and clicks in classic search results. AEO (answer engine optimization) aims to make your page the source an answer engine quotes. GEO (generative engine optimization) aims to get your content cited inside AI-written responses. The three overlap heavily, share one foundation, and differ mostly in what you measure and which content habits you add on top.

AEO and GEO are industry terms, not formal standards, and many practitioners use them interchangeably. This guide separates them where the difference is useful, uses primary sources for every factual claim, and ends with a practical order of operations for a B2B team.

Key takeaways

• Google says the best practices for SEO remain relevant for AI Overviews and AI Mode, and that there are no additional requirements to appear in them.
• The Princeton and IIT Delhi GEO study (KDD 2024) found that adding citations, quotations and statistics lifted visibility in generative engine answers by roughly 30 to 40% on its main metric, while keyword stuffing gave little to no improvement.
• Pew Research found 18% of Google searches in its March 2025 sample produced an AI summary, and 60% of searches that began with a question word did.
• You do not need three strategies. You need one content system, with SEO as the base and answer-first structure and evidence layered on top.
• Measure each layer separately: rankings and clicks for SEO, citations and mentions for AEO and GEO.

What is the difference between SEO, AEO and GEO?

SEO optimizes pages to rank in search result lists. AEO optimizes content to be selected as the direct answer to a question. GEO, a term formalized in a 2024 academic paper, optimizes content to be cited in responses that generative AI engines write from multiple sources. Each one measures success differently.

This table is our working framework. The separation between AEO and GEO is a convention, and the tactics in the middle rows are shared. If you want the metrics side in detail, our B2B SEO statistics and AI Overviews metrics pages collect the numbers.

What does Google say about optimizing for AI features?

Google says the best practices for SEO remain relevant for AI features such as AI Overviews and AI Mode, with no additional requirements and no special optimizations needed. To be shown as a supporting link, a page must be indexed and eligible to appear in Google Search with a snippet.

Google's documentation adds that both AI Overviews and AI Mode may use a "query fan-out" technique, issuing multiple related searches across subtopics and data sources to build a response. In practice, that rewards pages that answer a topic's related sub-questions clearly, not only the head keyword.

Pew Research's browsing study shows why this matters. In its sample, 58% of respondents had at least one Google search that produced an AI summary in March 2025. Only 8% of one- or two-word searches produced a summary, compared with 53% of searches of ten words or more. Longer, conversational queries are where AI answers appear, so that is where answer-first content pays off.

What does the research say actually works for GEO?

The Princeton and IIT Delhi study, published at KDD 2024, found that GEO methods can boost visibility in generative engine responses by up to 40%. The strongest methods were adding citations to sources, adding quotations and adding statistics. Keyword stuffing, the classic SEO shortcut, offered little to no improvement.

The paper tested nine methods on GEO-bench, a benchmark of 10,000 queries. Cite Sources, Quotation Addition and Statistics Addition produced relative improvements of 30 to 40% on position-adjusted word count and 15 to 30% on subjective impression. On Perplexity.ai, the authors reported improvements of up to 37% for the best methods, while keyword stuffing performed about 10% worse than the baseline.

Two findings are especially relevant for smaller B2B brands. First, lower-ranked sites benefited more: Cite Sources raised visibility by 115.1% for sites ranked fifth in search results while lowering it by 30.3% for the top-ranked site on average. Second, easy-to-understand and fluent writing also helped, by 15 to 30%.

Treat the results with care. The authors note they tested two generative engines, used a benchmark rather than live commercial queries, and did not evaluate effects on search rankings. For more measured effects, see our roundup of generative engine optimization statistics.

Do you need a separate strategy for each?

No. One content system serves all three. Start with SEO fundamentals so pages are crawlable, indexed and useful. Then add answer-first structure, evidence and clear entity signals. The extra work for AEO and GEO is mostly editorial, not technical, and it improves classic SEO pages at the same time.

1. Fix access and indexing. Confirm crawlers can reach your pages. Our guide to AI crawlers and robots.txt lists the user agents to check.
2. Open each section with the answer. Put a direct 40 to 60 word answer under each question-style heading, then add detail.
3. Add evidence. Include statistics with named sources, short quotations from credible experts and outbound citations. These are the methods the Princeton study found most effective.
4. Use structure that extracts cleanly. Tables, numbered steps and FAQ sections are easy for both search engines and AI systems to lift.
5. Cover related sub-questions. Query fan-out means one prompt can trigger many searches, so answer the adjacent questions too.
6. Measure each layer. Track rankings in Search Console, AI citations with a visibility tracker, and referral traffic in analytics.

If you want one team to run all of it, the SEO and GEO service from GTM 8020 combines them, and our list of agencies that do SEO and GEO together compares the market.

How should B2B teams measure SEO, AEO and GEO?

Use a different instrument for each layer. Search Console shows impressions, clicks and rankings, including Google's AI features within the Web search type. AI visibility trackers sample prompts across assistants to estimate citation share. Analytics shows the visits that result. No single tool covers all three, so report them side by side.

• SEO: impressions, clicks, average position and conversions from Search Console and analytics.
• AEO: whether your pages are quoted for your priority questions. Sample a fixed list of prompts on a schedule.
• GEO: your share of citations across assistants for a defined prompt set, plus referral sessions. Our walkthrough on tracking ChatGPT traffic in GA4 covers the traffic side.

Expect AI-driven clicks to be limited. Pew found that users who saw an AI summary clicked a traditional result in 8% of visits, against 15% without one, and clicked a link inside the summary in 1% of visits. Visibility in the answer can matter even when no click follows. For software that monitors it, compare options in our guides to the best AEO tools and best GEO tools.

Where should a B2B team start?

Start with the pages that already earn impressions and revenue. Rewrite their openings to answer the main question directly, add a sourced statistic and a comparison table, and confirm crawl access. Then expand to new question-led content. Doing this on a handful of pages first shows whether the approach moves your own metrics.

Teams with weak SEO foundations should fix indexing, site structure and page experience before chasing AI citations, because AI features that draw on Google's index depend on those basics. Teams with strong rankings should audit whether their best pages answer questions directly, since that is the gap most likely to cost citations.

Frequently asked questions

Is AEO the same as GEO?

Not exactly, though they overlap. AEO focuses on being selected as the direct answer to a question. GEO, defined in a 2024 academic paper, focuses on increasing visibility in responses written by generative engines from several sources. Many practitioners use the terms interchangeably, and the tactics are largely shared.

Does SEO still matter if AI answers replace search clicks?

Yes. Google says SEO best practices remain relevant for AI Overviews and AI Mode, and a page must be indexed and snippet-eligible to appear as a supporting link. Pew's data shows clicks to result links fall when an AI summary appears, from 15% of visits to 8%, but they do not fall to zero.

Does keyword stuffing work for AI search?

No evidence supports it. In the Princeton GEO study, keyword stuffing produced little to no improvement in generative engine visibility, and on Perplexity it performed about 10% worse than the unoptimized baseline. Adding citations, quotations and statistics performed much better in the same tests.

Do I need schema markup or llms.txt for AEO and GEO?

Google says no special schema or AI text files are needed to appear in AI Overviews or AI Mode. Structured data should still match the visible text, and clear content structure helps extraction. Treat llms.txt as optional housekeeping, not a requirement. See our guide on llms.txt and AI crawlers for details.

Which should a B2B company do first?

Do SEO first, because it controls crawling, indexing and eligibility. Then add answer-first formatting and evidence to your highest-value pages, which covers most AEO and GEO work. Add AI citation tracking once you have content worth measuring, so you can see what changes.

Sources

• Aggarwal et al., GEO: Generative Engine Optimization, KDD 2024 (arXiv 2311.09735)
• Google Search Central, AI features and your website
• Pew Research Center, Google users are less likely to click on links when an AI summary appears in the results (July 22, 2025)