GEO vs SEO: What Actually Changes

There are two answers in circulation to "what is the difference between GEO and SEO?" The first is "everything changed, this is a new discipline." The second is "it's marketing — the same work with a new name." Both are wrong, but not equally wrong.

Read Google's own documentation and most of the work really does stay the same. Three things genuinely change, and they are usually looked for in the wrong place. This article separates those three, each against its source.

To be clear about scope: this is a comparison. The full programme is in the GEO guide, appearing in and measuring AI Overviews is covered in Google AI Overviews, and whether you need a separate agency is in do you need a GEO agency.

The short answer

• Unchanged: indexing, snippet eligibility, content quality and site foundations. Google requires no new file, no special markup and no chunking.
• Change 1: the keyword axis disappears from measurement.
• Change 2: the same impression yields fewer clicks.
• Change 3: one engine becomes several, each with its own rules.
• The setting most people miss: there is a site-level generative AI control in Search Console.

What stays the same: most of it

Google publishes a dedicated optimization guide for generative AI features, and it dismisses most of what the market sells as a "GEO package", one item at a time (Google Search Central, guide to optimizing for generative AI features).

In the guide's own words:

"You don't need to create new machine readable files, AI text files, markup, or Markdown to appear in Google Search."

"Structured data isn't required for generative AI search, and there's no special schema.org markup you need to add."

"There's no requirement to break your content into tiny pieces for AI to better understand it."

Those three sentences are useful when reading a GEO proposal. If it bills "AI-specific schema", "content chunking" or a separate AI file as line items, Google's own documentation does not treat any of them as a requirement. The same tactics sold under the AEO label are covered in what is answer engine optimization. The longer story on llms.txt is in llms.txt: is it worth adding.

At page level the condition is this: the page must be indexed and eligible to be shown with a snippet. The same guide adds that indexing and serving aren't guaranteed. So an SEO-sound site is the floor for GEO too; the checklist is in what makes a website SEO-friendly.

Change 1: the keyword axis disappears

This is the most concrete difference between the two disciplines, and the least discussed.

The classic Search performance report gives four metrics — clicks, impressions, click-through rate, average position — and groups the data six ways: Queries, Pages, Countries, Devices, Search appearance, Dates (Search Console Help, Performance report).

The generative AI performance report gives one metric: impressions. Its dimensions are Pages, Countries, Dates and Devices (Search Console Help, Generative AI performance report).

The fifth row changes everything: there is no query dimension.

SEO has been organised around the keyword axis for thirty years. Which query you rank for, which query earns clicks, which page answers which question — the whole method rests on it. On the generative side Google does not supply that axis. You can see which of your pages was shown; you cannot see which question it was shown against.

The practical consequence: in GEO, the sentence "we moved up for that keyword" cannot be said. Anyone saying it is either reading another tool's estimate or reporting something they did not measure. How to set up what can be measured is covered in measuring AI search traffic in GA4.

Two caveats belong here. Google says it rolled these insights out to all websites worldwide as of 31 August 2026, and sites with too few generative AI impressions may not see the report at all. On a small site it can come back empty.

Change 2: the same impression yields fewer clicks

The second difference is in what visibility is worth.

In Pew Research Center's consented browsing data, users clicked a traditional search result on 15 percent of visits without an AI summary, falling to 8 percent on visits with one. A link inside the summary itself was clicked on 1 percent of visits (Pew Research Center, 22 July 2025).

Those figures break SEO's basic equation. In SEO an impression is the precursor to a click; in GEO the impression is often the final stop. The user got the answer and never came to your site.

Two things follow. First, measuring AI visibility by traffic is misleading — this sits closer to brand awareness than to acquisition. Second, the queries that still earn clicks are the ones whose answer does not fit in a paragraph.

Change 3: one engine becomes several

In SEO there was effectively one gatekeeper. In generative search each engine runs its own crawler under its own rules, and a setting made in one does not carry to another.

The clearest evidence is in Google's own documentation. The Search generative AI control covers only Google's features, and Google states explicitly that the control doesn't affect AI training; a separate tool, Google-Extended, handles that (Search Console Help, Search generative AI control).

So even inside one company the controls have split apart. Allowing or blocking other engines' crawlers is a separate decision; how to take it is covered in AI crawlers: allow or block.

The setting most people miss

Search Console has a control, under Settings, that determines whether your site is included in generative AI features. It covers AI Overviews, AI Mode and generative AI features in Discover.

The part not to misread: including your content is the default. Google states this is the default control for all properties, with child properties inheriting from their parent. It is not something you need to go and switch on.

It is still worth checking, because it can have been switched off. An excluded site neither appears as a link in those features nor is used to ground their responses. If you never show up in AI answers, this is the first place to look — before anyone discusses content strategy — and looking takes five seconds.

Google also states the control isn't used as a ranking or inclusion signal affecting other parts of Search. Turning it off does not lower your classic rankings; it only leaves you out of AI answers.

Line by line: what carries over

The three "no equivalent" rows are where agency reports are padded most often. If a GEO report shows you a position or a click-through rate inside AI answers, that number did not come from Google.

Where we say no

We sell GEO. Read this knowing that. We still do not say the following:

• "Let's build separate technical infrastructure for AI." Google writes that it isn't needed.
• "You rank first in ChatGPT for that query." Not a measurable statement. The indirect ways ChatGPT visibility can be measured today are covered in how to get cited by ChatGPT.
• "GEO replaces SEO." The door to generative answers is being indexed, so SEO comes first.

Those three are useful when choosing an agency too; the full set of questions is in how to choose a digital agency.

Frequently asked questions

What is the difference between GEO and SEO?

Most of the work is identical. Google states in its own documentation that appearing in generative AI features needs no new files, no special markup and no chunking of your content; the page simply has to be indexed and eligible for a snippet. Three things genuinely change: the keyword axis disappears from measurement, the same impression produces fewer clicks, and instead of one search engine you are dealing with several, each setting its own rules.

Do you need separate technical infrastructure for GEO?

According to Google, no. Its optimization guide says plainly that you don't need to create new machine readable files, AI text files, markup or Markdown to appear in Google Search. The same page states that structured data isn't required for generative AI search and that there's no special schema.org markup you need to add.

Can you track keyword rankings in GEO?

Not in Google's own report. The classic Search performance report groups data by Queries, Pages, Countries, Devices, Search appearance and Dates. The generative AI performance report offers only Pages, Countries, Dates and Devices — there is no query dimension at all. Google does not tell you which question you appeared against.

What metrics does the generative AI report provide?

Impressions only. It reports how many times links to your site were shown in a generative AI feature, and gives no clicks, no click-through rate and no average position. It covers AI Overviews and AI Mode, and Google says it rolled these insights out to all websites worldwide as of 31 August 2026.

My site never appears in AI answers — where should I look first?

Start with the Search generative AI control under Settings in Search Console. It governs whether your site is included in AI Overviews, AI Mode and generative AI features in Discover. Including your content is the default for all properties, so it is not something you need to switch on — but it can have been switched off. An excluded site neither appears as a link in those features nor is used to ground their responses.

Does switching that control off affect normal rankings?

Google says no. The help page states that this control isn't used as a ranking or inclusion signal affecting other parts of Search. The control also doesn't govern AI training: Google-Extended handles training, and noindex removes a page from Google Search entirely.

Do the same settings apply to ChatGPT and Perplexity?

No, and the difference is structural. In SEO there was effectively one gatekeeper; in generative search each engine runs its own crawler under its own rules. Google's Search Console control covers only Google's features — it does not even cover Google's own AI training. Access for other engines is managed separately, through their own crawlers.

Should GEO be a separate budget line?

In most businesses, no. Because the bulk of the work is already SEO, what is needed is measurement and content discipline layered onto existing work, not a separate infrastructure budget. Whether you need a separate agency or hire is a different question, and it comes down to scale.

In short

The difference between GEO and SEO is not in the work done but in what can be measured. Foundations, content quality and indexing stay the same, and Google asks for no new file or special markup to get there.

Three things genuinely change: Search Console's AI report has no query dimension, the same impression brings fewer clicks, and you now deal with several engines instead of one. There is also a switch most people have never opened — the Search generative AI control, on by default but capable of being turned off.

At Caliency GEO is not sold as a separate infrastructure line. We build the part that can be measured and tell you about the part that cannot. The scope is on the GEO page and the classic side of search on the SEO services page. If you are not sure whether your site shows up in AI answers, send us the address and we will check that control setting together first.

We measured how many of Türkiye's largest companies actually open their door to automated clients in our BIST 100 website study.