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GEO vs SEO: Shared Foundations, Different Measurement
GEO vs SEO looks like a choice between two disciplines, but for Google it is not. Google says that optimizing for its generative AI search is still SEO, so the foundations are shared: crawl access, indexing, helpful content and consistent facts. What differs is how you check the result.
Checked against Google, OpenAI and Perplexity documentation on October 20, 2026.
Contents
In brief
· Short answer#in-brief- Google writes that, from its Search perspective, optimizing for generative AI search is "still SEO," so GEO vs SEO is not an either-or question for Google Search.
- The shared base is crawler access, indexing, helpful content and the same facts about your brand everywhere.
- Each AI engine has its own crawlers, and answers can cite third-party pages as well as yours.
- GEO has no positions: the result is mentions and citations, and they change between runs, models and dates.
- That is why GEO is measured with repeated, dated runs of a fixed prompt set, not with one screenshot.
What SEO and GEO mean in this article
SEO
Work on how your pages appear in Google Search: crawling, indexing, ranking and clicks.
GEO
Generative engine optimization: work that raises the chances that generative engines (ChatGPT, Perplexity, Gemini, and AI Overviews and AI Mode in Google) name your brand and link to your sources. Nobody controls those answers, so the work improves odds; it does not fix outcomes.
Two terms matter below. A mention means the brand is named in an answer. A citation means the answer links to a page as a source. They are different results and are counted separately.
So SEO vs generative engine optimization comes down to where you want to be seen and how you check it.
What Google says about GEO and AEO
Below is only what Google publishes in its documentation for site owners.
GEO and AEO are SEO for Google Search.
Google writes: "From Google Search's perspective, optimizing for generative AI search is optimizing for the search experience, and thus still SEO."
AI features build on Search.
The same guide describes how Google's generative features use grounding (retrieval-augmented generation) and query fan-out, meaning related queries generated by the model.
No extra requirements for AI Overviews and AI Mode.
A page needs to be indexed and eligible to show in Search with a snippet. Google says you don't need new machine-readable files, AI text files or markup, and no special schema.org structured data.
Source: Google's guidance on AI features
Nothing is guaranteed.
Google writes: "Indexing and serving isn't guaranteed."
Source: Google's guidance on AI features
This is Google's position on Google Search. ChatGPT and Perplexity are separate systems with their own crawlers and documentation (see crawl access). The crawler documentation we checked does not describe how they choose sources, and we do not fill that gap with guesses.
Where the work differs
The table compares what is measured and who reports it; it contains no numbers on purpose.
Aspect | SEO | GEO |
|---|---|---|
What counts as a result | A position, impression and click in Google | A mention or citation of the brand in an answer |
Where you see it | The results page | Answer text that changes from run to run |
Crawlers | Googlebot | Several bots, each engine with its own |
Sources that matter | Your pages and links to them | Also third-party pages an engine cites about your category: trade publications, directories, reviews, documentation, discussion threads |
Platform reporting | Search Console | We found no equivalent report in the ChatGPT and Perplexity documentation we checked, so you run your own measurement |
Unit of measurement | Query plus position | Prompt from a fixed set × engine × model (if shown) × date × run |
Part of the work is shared: access, indexing, content. Part belongs to GEO alone: third-party sources and measurement per engine.
Different measurement
This is where SEO and GEO diverge most.
Measuring SEO
Search Console reports impressions, clicks and positions. Google says traffic from AI Overviews and AI Mode is counted in the Performance report under the "Web" search type (Google's guidance on AI features). Google also points to a Generative AI performance report in Search Console, which tracks how your content performs in generative AI features on Google Search (Google's guide to generative AI search). The same guide says: "No third-party tool has access to our internal ranking or AI systems."
Measuring GEO
There are no positions to read. Instead, you fix a set of prompts in advance and run each one repeatedly. For every run you record the engine, the model (when the product shows it), the date and the conditions. Mentions and citations are counted separately, for your brand and for competitors. Answers are not stable: they change between runs, models and dates. Google itself notes that AI Mode and AI Overviews "may use different models and techniques, so the set of responses and links they show will vary" (Google's guidance on AI features). This is the basis of our ongoing tracking. For the step-by-step protocol, see how to measure AI visibility.
Why one screenshot proves nothing
A screenshot records one run under one set of conditions. Run the same prompt again and the answer can differ. Only runs under identical conditions, on different dates, can be compared.
Tally · same prompt, 8 runs
[engine] · [model] · [date range]Answers change from run to run, so we count repeats instead of trusting one screenshot.
What goes into the scope of each
You can compare what the work consists of, not a price tag; there are no prices in this article.
SEO scope
- 01
Technical work on crawling and indexing
- 02
Content
- 03
Internal structure and linking
- 04
Work with sources and links
- 05
Search Console reporting
GEO scope
- 01
How many engines are covered
- 02
Size of the prompt set
- 03
Markets and languages
- 04
How often measurement is repeated
- 05
Work on third-party sources and facts about the brand
- 06
Amount of content and technical work
The shared foundation is best done once, in one plan. Then GEO adds its own sources and measurement to SEO instead of duplicating work.
Is GEO replacing SEO?
No.
Google's AI features rest on the core of Search (see Google's guide to generative AI search), and a page still has to be indexed to be eligible. Google writes that "people are increasingly gravitating to generative AI experiences to help them find information," and GEO responds to that by adding its own sources and its own measurement. It does not cancel indexing or content work.
AEO vs SEO, briefly
Answer engine optimization is work that makes a page give a ready answer to a specific question. Google treats AEO as SEO too (see what Google says). The difference from GEO is scope: AEO targets the answer on the page, while GEO also covers third-party sources and per-engine measurement. See answer engine optimization.
How we approach GEO and SEO
We do the shared foundation once, alongside your SEO work and not on top of it. We measure the GEO part with repeated, dated runs for each engine. We don't promise that any engine will name or cite a brand; we raise the chances, measure and report. If you want to see how it works, read about generative engine optimization and how we measure GEO results, or start with an AI visibility audit.
generative engine optimizationhow we measure GEO resultsAI visibility audit
Frequently asked questions
Is GEO just SEO with a new name?
For Google, largely yes: Google itself calls optimizing for generative AI search "still SEO" (see what Google says). But other engines have their own crawlers and documentation, answers also draw on third-party sources, and the measurement is different (see different measurement).
Do I need an llms.txt file for GEO?
Not for Google Search. Google writes that you don't need new machine-readable files, AI text files, markup or Markdown to appear in Google Search, because Google Search itself doesn't use them (Google's guide to generative AI search). We make no claim about other engines, because their crawler documentation does not say how they use such files. To test llms.txt on your own site, see our llms.txt AI visibility test design.
Does structured data help AI answers?
Google says there is no special schema.org markup to add for its generative features. Structured data is still useful for other Search features, and it should match the visible text on the page (Google's guidance on AI features). We don't make claims about other engines.
Can an agency guarantee AI citations or rankings?
No. Engines choose their sources, and answers change between runs, models and dates. Google says indexing and serving aren't guaranteed (Google's guidance on AI features) and that no third-party tool can see its internal ranking or AI systems (Google's guide to generative AI search). A responsible provider raises the chances, measures and reports; here is what we don't promise. Our checklist for the best GEO agencies shows how to check what an agency promises.
How do you measure GEO if there are no rankings?
With a fixed prompt set and repeated runs, each recorded with engine, model and date, and with mentions and citations counted separately. Details are in measuring GEO.
Do GEO and SEO need separate budgets?
Not necessarily: the shared foundation doesn't have to be paid for twice. GEO adds work on third-party sources and per-engine measurement (see scope). Its size depends on the number of engines, the size of the prompt set, markets and languages, and how often measurement is repeated.
Explore GEO services
If the SEO basics are already in place, GEO is what you add on top of them. See what the work consists of.
or start with an AI visibility audit