What Is Generative Engine Optimization (GEO)? A Plain-English Guide

Why it matters now: people click less when an AI answer sits on top. In Pew Research Center's study of 68,879 Google searches from March 2025, users who saw an AI summary clicked a regular result in 8% of visits, against 15% when there was no summary. Only 1% clicked a link inside the summary. If the answer is where the decision happens, you want to be in it.

This guide explains GEO for someone meeting the term for the first time: where it came from, how it differs from SEO and AEO, how AI engines pick their sources, and what the work looks like in a normal week. When you're ready to put numbers on it, our GEO Metrics Framework defines the measures, from Share of Model to Citation Rate, with formulas you can use.

Where the Term Came From

The phrase comes from a research paper. "GEO: Generative Engine Optimization" was first posted on 16 November 2023 by Pranjal Aggarwal, Vishvak Murahari, Tanmay Rajpurohit, Ashwin Kalyan, Karthik Narasimhan and Ameet Deshpande. The first version lists Princeton University, Georgia Tech, the Allen Institute for AI and IIT Delhi. It was accepted at KDD 2024, a major data-mining conference.

The authors called systems like Bing Chat and Perplexity "generative engines": search tools that gather several sources and summarize them with a large language model. Their worry was the website owner. Creators, they wrote, have "little to no control over when and how their content is displayed." GEO was their name for the fix: changing content so it shows up more in those answers.

What the original study tested

The team built a benchmark of 10,000 queries and tried nine ways of rewriting a source page. Then they measured how much of the AI answer drew on that page. Per the paper's results:

1. What worked best: adding quotations, adding statistics and citing sources. These gave a relative improvement of 30% to 40% on the paper's main visibility score.
2. What didn't: keyword stuffing scored 17.7 on that score, against 19.3 for the unchanged page. Repeating the search term made the page slightly less visible.
3. Real-world check: the methods also lifted visibility on Perplexity, the live engine they tested.

The lesson still holds up as a starting point. AI answers lean on pages that read like evidence, not pages that repeat a phrase.

GEO vs SEO vs AEO

Three labels get used for overlapping work. Here is how they differ in practice:

Answer engine optimization (AEO) is the narrower term. It focuses on the answer passage itself. Generative engine optimization adds the parts outside the page: whether engines can reach it, whether other sites vouch for you, and whether answers get your facts right. Some people also say LLM SEO. In practice the three share most tactics.

Google doesn't draw a hard line either. Its AI optimization guide says AEO and GEO "are both terms you may see used to describe work specifically focused on improving visibility in AI search experiences," and that "optimizing for generative AI search is optimizing for the search experience, and thus still SEO." That's a useful reminder. Crawling, indexing and helpful pages are the base layer. GEO doesn't replace them. It changes what you aim for once they're in place.

How AI Engines Choose Their Sources

You don't need the internals to do GEO, but a rough picture helps. Most engines follow four steps when they search the web for an answer.

1. They rewrite the question into searches

The engine turns one question into several narrower searches. Google calls this query fan-out: "a set of concurrent, related queries generated by the model." Its example turns "how to fix a lawn that's full of weeds" into searches like "best herbicides for lawns" and "remove weeds without chemicals." OpenAI says ChatGPT "typically rewrites your query into one or more targeted queries" and sends them to search partners (OpenAI Help Center). So your page competes for the narrow follow-up question, not just the words the person typed.

2. They pull pages from a search index

Each engine searches an index, and you have to be in it:

• Google's AI features rely on "our core Search ranking systems to retrieve relevant, up-to-date web pages from our Search index," per Google's guide.
• ChatGPT works with outside search providers (its help page links Microsoft's privacy statement) and runs its own crawler, OAI-SearchBot. OpenAI's crawler docs say sites that block OAI-SearchBot "will not be shown in ChatGPT search answers, though can still appear as navigational links."
• Perplexity crawls with PerplexityBot, which Perplexity says is "designed to surface and link websites in search results".
• Claude uses Claude-SearchBot. Anthropic says blocking it "may reduce your site's visibility and accuracy in user search results."

3. They read the text and pick passages

The engine reads what its crawler fetched and keeps the parts that answer the sub-question. Many AI crawlers read only the raw HTML. In Vercel's December 2024 analysis, OpenAI's crawlers, ClaudeBot and PerplexityBot did not render JavaScript, while Gemini (through Googlebot) did. Text that appears only after scripts run may never be seen.

4. They write the answer and cite sources

Finally the model writes a reply and links some of the pages it used. Which pages win isn't public. OpenAI's help page says only that ChatGPT "ranks search results using multiple factors intended to help users find relevant, reliable information. Placement is not guaranteed." Our AI citation entry explains the difference between being cited and being named.

Engines also change their habits. In a 2026 study of about 4,000 prompts, Nectiv found that ChatGPT's searches per prompt rose from 2.17 to 7.61, and 64% of them used the site: operator to search specific official sites. Your own pages, clearly titled and current, now carry real weight.

What GEO Work Looks Like Day to Day

Generative engine optimization sounds new, but most of the work is familiar. It sorts into four jobs.

• Access. Make sure AI search crawlers can reach your pages through robots.txt and your CDN or firewall. Our guide to optimizing a website for ChatGPT and Perplexity covers the technical side.
• Answers. Write pages that answer the questions buyers ask, with the answer in the first sentence of each section. Our guide to optimizing content for AI search shows the passage-level edits.
• Evidence. Add what the GEO paper found helps: numbers, named sources, dates and quotes. Keep facts such as prices current.
• Presence. Get mentioned on the sites engines already read. In Peec's March 2026 study of 30 million cited sources in the US, Reddit, YouTube, LinkedIn and Wikipedia were the most-cited domains across five AI platforms.

What isn't on the list matters too. Google says you "don't need to create new machine readable files, AI text files, markup, or Markdown" to appear in its AI features, because Google Search doesn't use them. Hidden text written only for bots and keyword-stuffed pages don't belong in GEO either.

The GEO Starter Checklist

This is Rankbox's ten-step checklist for a team's first month of generative engine optimization. Each step has a way to confirm it's done, so you finish the month with evidence, not just activity.

Steps 1 to 4 are about being reachable. Steps 5 to 9 are about being worth quoting. Step 10 turns the month into something you can measure against. Run the free AI search readiness check on your top pages to speed up steps 1 to 3.

How to Tell If GEO Is Working

AI answers change every time you ask, so one screenshot proves little. Measure generative engine optimization as a rate across many answers instead. Run the same set of buyer questions on a schedule, several times each, and count how often answers name you and link to you.

The two numbers to start with are Share of Model, the share of answers to unbranded category questions that name your brand, and Citation Rate, the share that link to your site. Both are defined, with formulas and worked examples, in our GEO Metrics Framework. For the full weekly routine, including sample sizes and a control test, read our guide to measuring GEO. The free AI Visibility Prompt Kit writes 30 buyer prompts and a manual scorecard to get you started.

Expect a lag. Access fixes can show within days. New pages take weeks, because engines have to crawl them, index them and weigh them against other sources.

Where Rankbox Fits

Rankbox helps with the answers and evidence jobs. Its Answer-Space Research maps the questions buyers ask ChatGPT, Perplexity and Google, which covers steps 5 and 6 of the checklist. The Citation-Ready Writer then researches the live web and writes source-backed articles, which reach your site through Rankbox's API. Rankbox doesn't track AI citations today, so pair it with a manual baseline or a tracker. The Business plan is $49.50 a month with a 7-day trial: see pricing.