GEO (generative engine optimization) is the work of getting your content cited or mentioned inside AI-generated answers, such as Google’s AI Overviews and AI Mode, ChatGPT search or Perplexity. SEO is the work of getting your pages found, crawled, indexed and ranked in search results. In the GEO vs SEO debate, the honest answer is that GEO sits on top of SEO rather than beside it. Most AI answer engines retrieve pages through search first, so a page that isn’t indexed and trusted rarely gets cited.
What changes is the unit of success. SEO counts rankings and clicks. GEO counts citations and mentions, often in answers where nobody clicks at all. This post separates what’s documented from what’s assumed, because this topic has more confident guessing than any other part of SEO right now.
Why Is GEO Built on SEO, Not Instead of It?
The term comes from a research paper, GEO: Generative Engine Optimization, first posted on November 16, 2023 by a team that included researchers from Princeton University and IIT Delhi, and accepted at KDD 2024. It’s worth reading the method, not just the headline. The authors’ simulated engine fetched the top 5 Google search results for a query, then had GPT-3.5-turbo write an answer from those pages. They also tested on Perplexity.
Read that again. The pages eligible for citation were chosen by a search ranking first. The paper’s tactics changed how often a source was quoted inside the answer, but only among pages that search had already surfaced.
Google says the same thing about its own AI features in plain words. Its AI features and your website documentation states: “There are no additional requirements to appear in AI Overviews or AI Mode, nor other special optimizations necessary.” To be eligible, a page must be indexed and eligible to be shown in Google Search with a snippet. That’s SEO’s job description.
What Stays the Same Between GEO and SEO?
More than the hype suggests. When I review a site that wants “AI visibility”, the first things I check are the same things I’d check for classic rankings. Can Google crawl it? Is it indexed? Does the snippet show? Does the page actually answer the question better than the competition?
Google’s list of best practices for AI features reads like a technical SEO checklist: allow crawling in robots.txt, make pages findable through internal links, give users a good page experience, put important content in text, and keep structured data consistent with what’s visible on the page. The same doc says “The best practices for SEO remain relevant for AI features in Google Search.”
Trust signals carry over too. Everything I wrote about E-E-A-T for blogs applies here: named authors, real experience, sources you can check. So does clarity about who you are. If AI systems can’t tell your brand apart from three others with a similar name, entity SEO is the fix, and it helps classic search as well.
What Is Genuinely Different About GEO?
Four things, in my view. None of them requires throwing out your SEO work, but each one changes how you plan and measure it.
The goal is a citation, not a position. In SEO you can say “we rank third”. In an AI answer, your brand is either quoted, linked, paraphrased without credit, or absent. There’s no stable position to track, and the same question asked twice can produce a different answer.
There’s more than one gatekeeper. Google’s AI features rely on Googlebot and Google’s index. ChatGPT search relies on OpenAI’s own crawler. OpenAI’s crawler documentation says sites that opt out of OAI-SearchBot “will not be shown in ChatGPT search answers”, though they can still appear as navigational links. It’s easy to block an AI crawler by accident with a robots.txt rule copied from an old template. When I audit robots.txt now, I check each AI platform’s crawler by name, because a classic SEO audit only asks about Googlebot.
Answers are assembled from passages. Google says AI Overviews and AI Mode may use a “query fan-out” technique, running several related searches across subtopics and sources. So a single answer can pull from pages that rank for questions you never targeted. Pages that answer one specific sub-question cleanly have more chances to be picked than pages that circle a topic.
Measurement is thin. Google counts AI feature traffic inside the normal Web search type in Search Console. On top of that, Search Console now has a Generative AI performance report, which Google says rolled out to all websites as of August 31, 2026, covering impressions in AI Overviews and AI Mode by page, country, device and date. Sites with too few AI impressions may not see data yet. GA4 added an AI Assistant channel on May 13, 2026 for visits referred by chatbots like ChatGPT, Gemini and Claude. Neither tells you how often you were mentioned without a link.
GEO vs SEO Side by Side
Here’s how I’d compare the two on the criteria that actually change your plan.
| Criterion | SEO | GEO | What it means for you |
|---|---|---|---|
| Success metric | Rankings, clicks, conversions | Citations, mentions, referred visits | Keep SEO metrics as the base, add AI reports on top |
| Where it happens | Search results pages | AI Overviews, AI Mode, ChatGPT, Perplexity, Gemini | Check crawler access for each platform you care about |
| Entry requirement | Crawlable, indexable, relevant | The same, plus the platform’s own crawler allowed | GEO fails if SEO basics fail |
| Content unit | The page | The passage or fact within a page | Write sections that answer one question cleanly |
| Measurement maturity | Mature, 16 months in Search Console | New and partial | Treat AI data as directional for now |
| Stability | Rankings shift over weeks | Answers can change per query | Don’t chase single screenshots |
The pattern is clear. GEO adds requirements; it doesn’t remove any.
What Do We Actually Know About AI Search Traffic?
Less than the confident posts suggest. Here’s what I’m comfortable citing, with its source.
Alphabet said in its Q2 2026 earnings remarks on July 22, 2026 that AI Mode had passed 1 billion monthly active users, and that Google now sends “billions of clicks to websites every week through AI features in Search”. Google’s own AI features doc claims clicks from results pages with AI Overviews are “higher quality”, meaning users spend more time on the site. That’s Google’s claim; it hasn’t published the data behind it.
On the other side, a Pew Research Center study of 900 U.S. adults’ browsing in March 2025 found that users clicked a traditional result on 8% of visits when an AI summary appeared, versus 15% when none did. Clicks on sources inside the summary happened on just 1% of visits. Google responded that the study used “a flawed methodology and skewed queryset”.
So what’s unknown? Quite a lot:
- How any AI system chooses which of several eligible pages to cite.
- Whether AI citations lead to later branded searches or sales that analytics can’t connect.
- How stable citations are over months, across the same query.
- Whether results from the 2023 GEO paper still hold on today’s much newer models.
Which Popular GEO Tactics Actually Hold Up?
I sort every GEO tactic I hear about into three bins: documented, supported by research, or unproven. Here’s my current table.
| Tactic | Evidence | My take |
|---|---|---|
| Get indexed and snippet-eligible in Google | Documented by Google as the requirement | Non-negotiable, do this first |
| Allow the crawlers of the AI platforms you want | Documented by OpenAI for ChatGPT search | Check robots.txt today |
| Add sources, quotes and statistics | 2023 GEO paper: 30–40% relative visibility gain for the top methods | Good practice anyway, keep it honest |
| Keyword stuffing | 2023 GEO paper: little to no improvement | Don’t |
| Structured data | Google: keep it consistent with visible text; no special AI markup required | Helps understanding, not a shortcut |
| llms.txt file | Proposed by Jeremy Howard on September 3, 2024; not mentioned in Google’s AI features docs | Optional, no evidence Google uses it |
| Blocking Google-Extended | Google says it doesn’t affect inclusion or ranking in Google Search | A training choice, not a visibility lever |
That llms.txt row surprises clients most. It costs little to add one, and some AI tools may read it, but I wouldn’t promise anyone a visibility gain from it. Nobody has shown one, and I lay out who has said what about the file in my llms.txt explainer.
Should You Put Money Into GEO or SEO First?
SEO first, for almost every business, because Google’s AI features only draw on indexed, snippet-eligible pages, and the GEO research itself retrieved from search results before any answer was written. However, if your SEO basics are solid and your buyers already research in ChatGPT or AI Mode, a GEO layer on top is the right next step.
That’s the verdict. The mistake I see is treating GEO as a separate budget line that replaces SEO. It’s more useful to think of GEO as a second checklist run on the same site: crawler access for each AI platform, passages that answer one question each, claims backed by sources, and a brand that’s easy to identify.
In practice, when I audit a site for AI visibility, most of what I fix is plain SEO: indexing gaps, weak internal links, thin pages, unclear authorship. The GEO-specific fixes are usually a short list on top. If you want help with that second layer, it’s what our AI search optimization work covers, and the free SEO audit will tell you whether your SEO foundation is ready for it.
When Does the Answer Flip?
There are real cases where I’d weight GEO higher than usual:
- If your category is research-heavy, like B2B software or complex services, buyers often ask AI tools to compare vendors. Being named in those answers matters as much as ranking.
- If you already rank well but clicks are falling, the problem may be AI answers above your result, and the fix is making your pages the cited source.
- If your brand is new or easily confused, entity and brand work pays off in both channels, but it shows up in AI answers first.
- If GA4’s AI Assistant channel already sends you converting visits, double down on the pages those visits land on.
And one case where GEO should wait. If Google isn’t indexing your key pages, no amount of AI optimization helps. Fix that first; my post on Search Console vs Google Analytics explains which reports to read.
Frequently Asked Questions
Is GEO Replacing SEO?
No. GEO depends on SEO, because AI answer engines mostly retrieve pages that search systems have already crawled and indexed. Google states there are no extra requirements or special optimizations needed to appear in AI Overviews or AI Mode beyond normal eligibility.
What Is the Difference Between GEO and AEO?
They overlap heavily. AEO (answer engine optimization) usually refers to featured snippets, voice answers and direct answers. GEO refers to AI-generated answers from large language models. In practice the work is nearly the same.
Can I Track How Often AI Tools Cite My Site?
Partly. Search Console’s Generative AI performance report shows impressions in AI Overviews and AI Mode, and GA4’s AI Assistant channel shows visits from chatbots. Unlinked mentions inside AI answers aren’t measured by either tool, which is where the paid trackers in my AI search optimization tools roundup come in.
Do I Need an llms.txt File for GEO?
No. It’s an optional proposal from 2024. Google’s documentation on AI features doesn’t mention it, and there’s no evidence Google uses it. Adding one is harmless, but don’t expect it to change your visibility.
Last updated: September 2026 by Mizanur Rahman
