What Is Generative Engine Optimization? What the Research Found, What Google Says, and What Works

What is generative engine optimization?

Generative engine optimization is the work of increasing how often, and how prominently, your content appears inside answers written by AI. A traditional search engine returns a list of links. A generative engine reads several sources and writes one answer, sometimes with citations. GEO is about being one of those sources, and being the one the answer leans on.

That is a different target from a ranking. In a list of ten blue links, position three still gets seen. In a written answer, a source either shapes the text or it doesn't. Visibility becomes a question of how much of your content the engine uses and how early it appears.

You will see three names for overlapping ideas. Here is how we use them:

In practice the work overlaps heavily, and that is fine. For the head-to-head comparison, see our page on GEO vs SEO. This article focuses on what GEO adds: the evidence behind it and the specific edits it recommends.

Where did the term GEO come from?

The phrase was introduced in a research paper titled "GEO: Generative Engine Optimization" by Pranjal Aggarwal, Vishvak Murahari, Tanmay Rajpurohit, Ashwin Kalyan, Karthik Narasimhan and Ameet Deshpande. It was first posted in November 2023 and accepted to KDD 2024, a major data science conference.

The researchers built a benchmark called GEO-bench: a large set of real-style queries across many subject areas, each paired with web sources. They then rewrote those sources using different editing methods and measured how visible each source became in AI-generated answers.

They measured visibility two main ways. One metric, position-adjusted word count, rewards a source when more of the answer's words come from it and when it is cited earlier. The other, subjective impression, estimates how influential and prominent the source feels to a reader. The headline result in the abstract: GEO methods "can boost visibility by up to 40%" in generative engine responses.

Read that number carefully. It is the best result on a research benchmark, under controlled conditions, compared against unedited text. It is evidence that content edits change AI visibility. It is not a forecast for your website.

What does the GEO research say works?

Three edits stood out: adding quotations, adding statistics and citing sources. The paper reports the top methods achieved a relative improvement of 30 to 40% on position-adjusted word count. Here is a plain-English summary of the main findings, taken from the full paper.

The paper also tested combinations. The best pairing was fluency optimization with statistics addition, which beat any single method. In plain terms: clear writing plus real numbers.

The finding most people skip

The gains were not shared evenly. In the paper's analysis by search position, sources that ranked fifth gained the most: citing sources more than doubled their visibility. The top-ranked source actually lost visibility under the same methods. The authors suggest this is because generative engines weigh content itself rather than the backlinks and domain signals that dominate classic rankings.

For a smaller business, that is the encouraging part. Content quality is a lever you control, and generative engine optimization appears to reward it more evenly than a ranking algorithm built on years of authority.

What the research does not tell you

A good study has limits, and quoting it honestly means naming them. These are the ones we keep in mind when clients ask about generative engine optimization.

• It is a benchmark, not the live web. The edits were tested on a fixed set of queries and sources. Real engines change models, retrieval systems and citation behavior constantly.
• It measures visibility inside an answer, not business outcomes. Being quoted is not the same as being chosen, called or bought from.
• "Adding statistics" assumes the statistics are true. Inventing numbers to look citable is a fast way to lose trust with people and with engines that cross-check facts.
• It does not cover getting retrieved in the first place. If a crawler cannot reach your page, or your page never makes the candidate set, no edit helps.

That last point matters most. Generative engine optimization works on pages that are already in the pool of sources. Getting into the pool is still mostly classic SEO: crawlable, indexed, relevant, trusted pages.

What does Google say about optimizing for AI Overviews?

Google's position is that its AI features use the same foundations as Search. Its documentation on AI features and your website says: "There are no additional requirements to appear in AI Overviews or AI Mode, nor other special optimizations necessary."

The same page explains the mechanics that make GEO-style editing useful anyway. Both AI Overviews and AI Mode may use a "query fan-out" technique, "issuing multiple related searches across subtopics and data sources" to build an answer. To appear as a supporting link, "a page must be indexed and eligible to be shown in Google Search with a snippet." And Google's best practices include making sure structured data matches the visible text on the page.

The page also covers control in the other direction. If you want to limit what Google shows from a page, it points to the same preview controls Search has always used: nosnippet, data-nosnippet, max-snippet or noindex. Use them deliberately. A pricing table wrapped in data-nosnippet cannot be quoted in an AI answer either.

Read together, the message is consistent with the GEO research. There is no secret markup. Engines pull passages from pages they already trust, across several related sub-questions. Pages that answer each sub-question clearly, with specific and sourced facts, give the engine more to use.

Other engines have their own crawlers and policies. Our guide on how to rank in ChatGPT covers OpenAI's side, and our llms.txt guide explains what that file does and does not do.

Which AI crawlers do you need to allow?

Allow each engine's search crawler, then decide separately about training crawlers. The major AI companies now split the two: one bot fetches pages to show in answers, another collects text for model training, and blocking one does not block the other.

Sources: Google's crawler documentation, OpenAI's crawler page, Perplexity's crawler guide and Anthropic's help center, checked October 2026. User-agent names change, so recheck before you edit robots.txt.

The most common GEO problem we find is not the writing. It is a security plugin, firewall or CDN rule that blocks these bots by default, set up years ago by someone who has since left. Check your robots.txt and your firewall logs before you edit a single paragraph. A blocked page cannot be cited, however good it is.

A business that wants to stay out of model training can block the training crawlers and still allow the search crawlers. That is a business decision, not a GEO one, and it is now a choice you can make bot by bot.

How do you do generative engine optimization? Our 7-step editing method

We turn the research into an editing pass that runs on pages that already rank or deserve to. It takes 60 to 90 minutes per page and it changes the text, not the layout.

1. List the sub-questions. Write down the 5 to 8 related questions a fan-out search would ask about the page's topic. Each one needs a clear answer somewhere on the page.
2. Answer first in every section. Open each section with one or two sentences that answer its question outright. That is the passage an engine is most likely to lift.
3. Swap vague claims for specific ones. "Fast turnaround" becomes "most repairs finished the same day." Use only numbers you can stand behind.
4. Cite your sources in the text. When you state a third-party fact, name the source and link it. This is the "cite sources" method from the study, done honestly.
5. Add a quotable expert line. A short, attributed statement from the person who actually does the work. Real names, real roles, no invented testimonials.
6. Put structured facts in structured form. Price ranges where you publish them, specifications, steps and comparisons belong in tables and lists, not buried in paragraphs.
7. Remove the padding. Cut repeated keywords, throat-clearing intros and filler. The study found keyword stuffing scored below the baseline.

If AI tools help draft your pages, the same rules apply to their output: every number checked, every source opened. Our guide to AI content creation covers the editing pass we run on machine drafts before anything is published.

A worked example: one paragraph, before and after

Here is the method applied to a typical paragraph from an HVAC company's service page. The business details are illustrative.

Before

We are the leading AC repair company in the area, offering fast, affordable and reliable air conditioning repair services. Our expert technicians provide the best AC repair for homeowners who need AC repair done right.

An engine has nothing to use here. Every claim is generic, nothing is verifiable and the keyword repetition adds no information.

After

Most AC repairs we handle are finished on the first visit, because our vans carry the parts that fail most often: capacitors, contactors and fan motors. If your system is more than 15 years old and the repair is a compressor, we will show you the repair cost next to a replacement quote so you can compare. "A failed capacitor is the most common call we get in July," says our service manager.

The second version answers real sub-questions (will it be fixed today, what usually breaks, repair or replace), names specific parts and adds an attributed line. Every claim in it must be true for the business publishing it. That is the whole point: generative engine optimization rewards specifics, so the specifics have to be real.

What GEO looks like for different kinds of business

The editing method is the same everywhere, but the facts that matter most change with the business. Start with the ones an engine needs to recommend you for the questions your buyers ask.

Notice what is missing from every row: slogans. Engines cannot quote "trusted partner" as an answer to anything. They can quote "we serve Morris and Essex counties, Monday to Saturday, and every technician is licensed."

Two rules apply across the board. First, publish the fact once on your own site in a clear, crawlable place, then make every profile and directory say the same thing. Second, give each important question its own section or page instead of burying the answer in a long service description. That structure is what lets a fan-out search find the exact passage it needs.

How do you measure generative engine optimization?

Measure GEO with a fixed prompt panel checked on a schedule, plus the analytics signals AI traffic leaves behind. There is no single dashboard for AI citations yet, so build a simple, repeatable one.

One limit to know about Search Console: Google says traffic from AI features is reported inside the Performance report under the "Web" search type. It is counted with your other search traffic, not split out, so you cannot isolate AI Overview clicks there. That is why the prompt panel matters.

Keep the prompt list fixed so the trend means something. AI answers vary from run to run, so look at the pattern over several months rather than one screenshot.

We track calls and forms back to source in UnifiedIQ, our own platform, which is how we separate AI referrals from everything else. The same platform runs the weekly AI-visibility check described in the final section. If your UTM tagging is inconsistent, fix that first with our UTM parameters guide. For the software categories that claim to track AI visibility, see our review of AI marketing tools.

What GEO mistakes do we see on audits?

The same six mistakes show up on most audits, and none of them need new software to fix.

1. Treating GEO as a replacement for SEO. Engines retrieve from pages that can be found and trusted. Skip the foundation and nothing else matters.
2. Fabricating statistics to look citable. The research rewards real numbers. Made-up ones are a liability.
3. Stuffing prompts and keywords into pages. The study's own keyword-stuffing method underperformed the baseline.
4. Writing one giant FAQ instead of fixing the pages. Sub-questions belong in the sections where they come up.
5. Inconsistent facts across the web. If your hours, service area or founding year differ between your site, your Google Business Profile and directories, engines have a reason to doubt you.
6. Measuring with one screenshot. Answers vary. Use a fixed panel over time.
7. Blocking the search crawlers by accident. A firewall default or an old robots.txt rule quietly keeps the page out of the candidate set.

Many of these show up in our technical SEO checklist and in the consistency work behind Google Business Profile optimization.

Should your business invest in generative engine optimization now?

Yes, if your basics are in place, because the work improves the page for people and for search engines at the same time. Use this table to decide where to start.

We would not spend money on tools promising to "game" AI answers. The durable version of generative engine optimization is the one in the research: clearer, more specific, better-sourced content.

What we've built for generative engine optimization

We built two things that put this research to work: a weekly AI-visibility check inside our own platform, and a client site engineered from the first page to be cited by AI search. Both follow the same rule: answer first, be specific, prove it.

A weekly AI-visibility check in UnifiedIQ

The problem: nobody can tell from Google Analytics whether ChatGPT recommends them. Every week, UnifiedIQ, our own platform, asks ChatGPT, Perplexity, Gemini, Claude and Google AI Overviews the questions a client's customers ask, and records who gets named. When a competitor is cited instead, it plans the article that answers that question better. A person on our team reviews the plan, and nothing is published under a client's name without a person approving it. It is the prompt panel from the measurement section, run on a schedule so the trend is real.

HonestyInsure.com, engineered for AI citation

The problem: health insurance is a "Your Money or Your Life" topic, where engines only cite sources that prove expertise. For HonestyInsure.com we built 144 pages and guides that are indexed, including 31 state pages, each written to answer a specific question directly. Pages open with a short answer, carry a licensed-agent reviewer byline and cite primary sources. That is the GEO method from this article applied to a whole site, and a 24/7 AI agent chat in the hero turns readers into conversations.

How we run GEO for clients

GEO is part of our AI search optimization work, run by the same senior team that handles SEO. We have been doing search for clients since 2006, and the edits that help AI answers are the ones we already make for people. If you are comparing firms, our list of the best GEO agencies explains what to look for, and if you are deciding how AI fits your business more broadly, start with AI for small business or our guide to ChatGPT for small business.

Want to know where you stand? Ask us for a prompt-panel check on your business, and we will show you which questions name you, which name competitors and what to edit first. If your broader plan needs work, start with our guide to digital marketing strategy.

Generative engine optimization questions, answered