generative engine optimization imageBy Matthew Travers, President, Lead to Conversion.

What is generative engine optimization, and does your business need it on top of SEO? If you’ve searched a question lately and seen a written answer show up before any links, you’ve met the reason the term exists. Google AI Overviews, ChatGPT and Perplexity now answer many questions directly, and they name a handful of sources while they do it. Business owners want to know how to become one of those sources. Here’s what GEO means and how it compares with SEO. We’ll also cover where answer engine optimization (AEO) fits and what the research and Google’s own guidance say.

Quick answer: Generative engine optimization (GEO) is the work of getting your content cited inside AI-generated answers. Google’s own guidance says optimizing for its generative AI search features is “still SEO” [1]. So GEO isn’t a replacement for search engine optimization. It’s what strong SEO looks like when the results page writes back.

What Is Generative Engine Optimization?

In short: GEO is how you earn a spot among the sources an AI tool names when it writes an answer.

Generative engine optimization (GEO) is the work of making your content easy for AI search tools to find, trust and cite when they write an answer. The goal is to be one of the sources named inside the answer, not only a blue link below it.

A generative engine is any search tool that writes its own response instead of only listing pages. It runs on a large language model, a type of AI trained on huge amounts of text to understand and produce language. The ones most people use today:

  • Google AI Overviews and AI Mode
  • ChatGPT
  • Perplexity
  • Gemini
  • Claude
  • Microsoft Copilot

Picture the same search ten years apart. In 2015, “is a concierge doctor worth it” returned ten blue links, and the job was to rank near the top. Today the same question can open with a written answer that pulls from three or four pages and credits them by name. The links are still there. They now sit underneath the answer.

The term itself is new. It comes from a research paper titled “GEO: Generative Engine Optimization,” first posted in November 2023 [2]. It was accepted to KDD 2024, a leading data science conference. In that paper, visibility means how much of the AI’s answer is attributed to a source and how early that citation appears. That’s the scoreboard for GEO: being cited, quoted or named in the answer, on top of being ranked.

Is GEO Separate From SEO? What Google Says

In short: No. Google says optimizing for its AI search features is still SEO, and the same pages qualify for both.

Google has answered this one directly. Its documentation on generative AI features, last updated July 10, 2026, says optimizing for generative AI search “is optimizing for the search experience, and thus still SEO” [1]. Many guides treat GEO as its own discipline with its own tactics, but Google’s documentation doesn’t draw that line.

The eligibility rule shows why. To appear in AI Overviews or AI Mode, a page has to be indexed and eligible to show in Google Search with a snippet [1]. That’s the same bar every regular result has to clear before it can rank. Think of it as one front door. A page reaches an AI Overview the same way it reaches a blue link. So a site that stumbles on SEO basics will stumble on GEO too.

So what does Google tell site owners to focus on? The list reads like an SEO checklist [1]:

  • Helpful, people-first content that adds something beyond what every other page says
  • A clear technical structure and pages that meet Search’s technical requirements
  • Crawl-friendly pages and a good page experience
  • Accurate local business and ecommerce details

Google speaks only for Google’s own features. Other AI tools set their own rules, but access still comes first. OpenAI, for example, says sites that block its OAI-SearchBot crawler won’t be shown in ChatGPT search answers [3]. For a breakdown of which crawler controls citations in each engine, see how AI search engines choose sources.

The practical takeaway: GEO work belongs inside your SEO program, not beside it as a separate purchase.

GEO vs SEO: What Actually Changes?

In short: Where you show up and how you keep score change. The foundation that earns the spot stays the same.

When people compare GEO vs SEO, they’re usually asking whether the rules of search have changed. Mostly, it’s the format of the result that changed. SEO earns a place in a ranked list of links, while GEO earns a place inside the written answer that can sit above that list. Google’s guidance puts both on the same foundation [1].

Think of it as the same kitchen serving a different plate. The ingredients don’t change, since you still need useful content, a healthy site and real authority. What changes is how the result gets served and how you count a win.

SEO GEO
Where you appear A ranked list of links Inside a written AI answer, as a cited or named source
What counts as a win A high position and a click Being cited, quoted or named in the answer [2]
Google eligibility Indexed and crawlable Indexed and eligible to show with a snippet, the same base [1]
What earns it Helpful content, technical health, authority The same foundation, plus answers and facts that are easy to quote [1][2]
How it’s measured Rankings, clicks, traffic, leads Search Console’s generative AI performance report [1], citation and mention tracking, leads

Read the table top to bottom and one pattern stands out: every GEO row leans on something SEO already builds. That’s why one program can cover both columns.

One row matters more than the rest, and leads sit in both columns for a reason. An AI mention only pays off when it turns into a call, a booking or a form fill.

Is Answer Engine Optimization (AEO) the Same as GEO?

In short: For practical purposes, yes. Google treats AEO and GEO as two names for the same kind of work.

Answer engine optimization (AEO) is the work of shaping your content so AI tools and search features can lift it as a direct answer. If that sounds like the GEO definition above, it should. Google describes both AEO and GEO as terms people use for work aimed at improving visibility in AI search experiences [1].

Some marketers still draw a line between the two. In that version, AEO covers featured snippets, voice answers and AI Overviews, while GEO covers chatbots like ChatGPT. The overlap is too large for that split to change what you’d actually do. Soda, pop, soft drink: it’s the same can, and the label depends on who’s talking.

Term Stands for Where you’ll see it
GEO Generative engine optimization The 2023 research paper that named it [2] and most marketing guides
AEO Answer engine optimization Often tied to featured snippets, voice answers and AI Overviews
LLMO Large language model optimization Visibility in chatbots like ChatGPT and Claude
AIO AI optimization A loose umbrella term, and also shorthand for Google’s AI Overviews
AI SEO AI search optimization A plain language umbrella for all of the above

Whichever label a proposal uses, look at the task list underneath it. If an AEO plan and a GEO plan list the same tasks, you only need one of them.

What Did the Original GEO Research Find?

In short: Adding quotes, statistics and sources made pages more visible in AI answers. Keyword stuffing made them less visible.

The widely shared “up to 40%” figure comes from a controlled test [2]. You’ll often see it summarized as a study of real websites, but that’s not how the research worked. The researchers rewrote source pages. Then they measured how much of each AI answer credited them, not traffic or rankings.

A team including researchers from Princeton University and IIT Delhi built a benchmark of 10,000 queries called GEO-bench and tested nine rewrite methods [2]. Here’s how six of them scored against unedited pages, which scored 19.3:

Rewrite method Visibility score Change vs no edits
Adding quotations 27.2 +40.9%
Adding statistics 25.2 +30.6%
Fluency improvements 24.7 +28.0%
Citing sources 24.6 +27.5%
Authoritative tone 21.3 +10.4%
Keyword stuffing 17.7 -8.3%

Evidence beat keywords. Results varied by topic area, and a live test on Perplexity showed gains of up to 37% [2].

Here’s what that looks like on a real page. A clinic page that says “we see new patients fast” gives an AI tool little to quote. One that states its actual average wait, and where the number comes from, hands it a fact to cite. That’s the same helpful, reliable content Google already asks for [1]. A benchmark score isn’t a promise for any single site, but the direction is clear.

What Don’t You Need to Do for AI Search?

In short: Google says you don’t need AI-only files, chopped-up content, a special writing style or special schema to appear in its AI features.

Once GEO became a buzzword, add-on services followed close behind. Google’s guide names several things you can skip for its AI features [1]:

What you may be sold What Google’s guidance says
New AI text files, special markup or Markdown copies of pages Not needed to appear in Google Search [1]
Chopping content into tiny chunks so AI can read it No requirement to do this [1]
A separate writing style for AI search Not needed [1]
Special schema markup for AI Structured data isn’t required, and there’s no special markup to add [1]

Proposed AI files such as llms.txt fall under the first row, as far as Google Search is concerned.

Structured data still earns its place, though. Google calls it “a good idea to continue using it as part of your overall SEO strategy” [1]. It helps search engines understand what a page is about and who’s behind it. That’s why it belongs in an SEO plan, not in a separate AI add-on.

A simple buyer test: if a GEO proposal’s first line items are files and markup, ask what happened to the content. New signage doesn’t fix an empty store.

How Do You Measure GEO Results?

In short: Track AI feature impressions in Search Console, check whether AI tools name you, and follow the leads that come after.

Measure GEO in three layers. Google now reports on its own AI features, other tools need spot checks, and leads tell you whether any of it paid off.

What to track Where What it tells you
AI feature impressions Search Console’s generative AI performance report [4] How often links to your site appear in AI Overviews and AI Mode
Citations and mentions Your key questions, run in ChatGPT, Perplexity, Gemini and others Whether you’re named, and what’s said about you
Leads Calls, forms and bookings in your analytics and CRM Whether visibility turns into business

Google’s report is new, and as of August 31, 2026, Google says it had rolled it out to all websites worldwide [4]. It counts impressions only, with no clicks, so pair it with lead tracking.

Count citations, but get paid in leads. A free AI visibility check is a quick way to see where you stand today.

How Does GEO Fit Into an SEO Program?

In short: GEO works best as a layer inside your SEO program, with one team owning the technical base, the content and the reporting.

Since Google treats AI search as part of SEO [1], the simplest setup is one plan. Splitting SEO and GEO between two vendors can produce two sets of priorities for the same pages. Inside a single program, the GEO layer looks like this:

  • A crawlable, indexable site whose key pages are eligible to show with a snippet [1]
  • Content that answers real questions with facts, quotes and named sources [2]
  • Structured data kept up as part of standard SEO [1]
  • Reporting that adds AI impressions and citations next to rankings and leads [4]

Google also offers a useful filter. If you’re weighing third-party AEO or GEO advice, it points you to its guidance on evaluating SEO advice [1]. In practice, that comes down to one check. Choose a partner whose advice matches what Google publishes.

At Lead to Conversion, GEO is built into our SEO programs instead of sold as a separate product. We report on the calls, form fills and booked appointments that visibility produces.

Generative Engine Optimization FAQ

No. Google says optimizing for its generative AI features is still SEO [1]. GEO builds on the same foundation, a crawlable site and helpful content, and adds a focus on being cited inside AI answers. The two work best as one program.
GEO stands for generative engine optimization. The term comes from a 2023 research paper on how AI search tools cite sources [2]. It covers the work of making your pages easy for tools like ChatGPT and Google AI Overviews to find, trust and cite.
No. In local SEO and ad targeting, “geo” refers to location, like a city or service area. Generative engine optimization has nothing to do with maps. Local details still matter for AI search, though, since Google’s guide lists accurate local business information as a focus area [1].
It isn’t required. Google says structured data isn’t needed for its generative AI features and that there’s no special markup to add [1]. It’s still worth using as part of overall SEO, because it helps search engines understand what a page is about.
LLM optimization, or LLMO, is another name for the same work, usually aimed at chatbots like ChatGPT and Claude that run on large language models. The tasks overlap with GEO and AEO, so one plan can cover all three.
Whoever runs your SEO, as part of one program. That keeps the technical work, content and reporting pointed at the same goals. Before you hire anyone, check that their advice matches Google’s published guidance on AI features [1].
No. No one controls which sources an AI tool cites, and the original GEO study found results varied by topic area [2]. What you can control is the foundation: a site AI tools can reach, content worth quoting and reporting that shows whether it’s working.

What’s the Next Step?

In short: See how AI tools describe your business today, then plan SEO and GEO together.

Want to see how AI tools describe your business today? Start with a free AI visibility check. If you’d like a plan that covers SEO and GEO together, book a consultation with our team.

Sources

  1. Google Search Central. “Optimizing your website for generative AI features on Google Search.” 2026-07-10. https://developers.google.com/search/docs/fundamentals/ai-optimization-guide
  2. Aggarwal, Murahari, Rajpurohit, Kalyan, Narasimhan, Deshpande. “GEO: Generative Engine Optimization (KDD 2024).” 2024-06-28. https://arxiv.org/abs/2311.09735
  3. OpenAI. “Overview of OpenAI Crawlers.” accessed 2026-09-29. https://developers.openai.com/api/docs/bots
  4. Google Search Console Help. “Generative AI performance report (Search).” 2026-08-31 rollout. https://support.google.com/webmasters/answer/16984139

Related Reading From Lead to Conversion

Related Posts

  • concierge practice marketing benchmarks 2026: 6% of concierge sites allow online enrollment and 33% publish a membership price

    Concierge Practice Marketing: 2026 Benchmarks From 100 Practice Websites

    October 13, 2026

    We audited 100 concierge and DPC practice websites in 20 U.S. metros. Only 6% of concierge sites let visitors enroll online and 33% publish a price. See the data and seven strategies built on it.

  • how ai search engines choose sources: an ai answer citing three websites, with a practice website highlighted

    How AI Search Engines Decide Which Sources to Cite

    October 13, 2026

    AI search engines cite pages their own search crawlers can reach. See how Google AI Overviews, ChatGPT and Perplexity retrieve, select and cite sources, and six steps healthcare practices can take to get cited.

  • graphic for how does structured data improve healthcare seo

    How Does Structured Data Improve Healthcare SEO? (2026 Guide)

    February 10, 2026

    By: Matthew Travers, President at Lead to Conversion Key Takeaways If you’re short on time, here are the most critical insights regarding the role of SEO in the modern healthcare landscape: Structured data is a “translator” that makes your site machine-readable for Google [...]