No. They share infrastructure but measure different outcomes, and that measurement determines whether you bought the right service. An effective plan coordinates both disciplines: search access and technical foundations support discovery, while GEO measures and works to improve the brand’s Share of Voice in generated answers.
I am Mateus Gomes, operator of murmur.marketing. Our SWAS model combines proprietary
software for measuring SOV with specialist strategy and execution. Because I have a commercial
interest in GEO, this guide distinguishes the fields’ shared foundations from their different
outcomes. The internal measurement from 2026-08-06 is a historical baseline from before the
current guide library; it is not an assessment of today’s operation.
Summary
- The short answer is a definite no: SEO delivers a position in a list of links; GEO competes for presence within text a machine writes, where there is no “position 3” and clicking is optional.
- The overlap is substantial. Crawlability, server-delivered HTML, indexing and domain authority are prerequisites for both. Generative search engines are grounded in conventional indexes; ChatGPT with search relies on Bing’s index.
- The measurement instrument is different. Impressions, average position and clicks describe a list. None tells you whether your brand was recommended, cited as a source, merely mentioned or absent within a generated answer.
- The metric changes the interpretation. In the historical Fly Vet campaign of 2026-06-27/28, Google AI Overview did not recommend the agency in that sample and used its site as a source in 81 of 100 questions. An SEO dashboard would call it success; GEO measurement calls it retrieved and lost during writing.
- A long SEO track record can be an advantage. In the dated category sample, the name most often found by the text rule had 1,366 sitemap URLs and nine pages about GEO.
- The vocabulary boundary — GEO, AEO, SEO and what each covers — is explained in GEO, AEO and SEO: what is the difference?. This page addresses what actually changes in the service you buy.
What is the same: more than the market admits
I will start with the uncomfortable part, because it lends credibility to the rest.
The access layer is identical. A generative engine can use only what it can fetch, and it fetches server-delivered HTML. AI crawlers do not execute JavaScript. In The rise of the AI crawler, Vercel analyzed its network logs and stated that none of the major AI crawlers currently renders JavaScript. They download scripts without executing them: 11.50% of OpenAI crawler requests and 23.84% of Anthropic’s are for such files. If you already fixed that for SEO, you do not need to fix it again for GEO. It is the same work.
The three discovery paths are the same three. An internal link from a known page, a
sitemap.xml declared in robots.txt, and active submission to an index. There is no secret
fourth channel known only to GEO. As for llms.txt, sometimes sold as that fourth channel,
no engine has confirmed using it for crawling as of this article’s date. Publishing it is a
good-faith step; relying on it means betting on an unconfirmed channel.
A search index remains part of the process. ChatGPT with search is grounded in Bing’s index, making Bing Webmaster Tools an opportunity almost nobody uses, and a conventional SEO tool. Blocking conventional search while allowing only AI crawlers is cloaking, the fastest way to damage the entire domain for both at once.
The hardest concession concerns accumulated authority. Under my deterministic text rule,
a regular expression against a declared list of 29 names, the most frequently found name
across 100 (question, engine) pairs on 2026-08-06 was Conversion, winning 19 of 100 pairs,
followed by GeoStack with 15 and Brasil GEO with 14. Two caveats belong with those figures:
the top three are separated by less than 1.3 binomial standard errors, which does not support
a stable ranking, and the brand winning 19 is absent in the other 81. With that qualification,
the relevant fact is this: a public-site inspection with curl on the same day found 1,366 URLs
in Conversion’s sitemap.xml, nine under /geo/: 0.7% of the site. A GEO content cluster
did not put it in the engines’ answers. Domain age, publishing volume and off-site presence did,
all built through the conventional playbook. Someone with fifteen years of SEO enters this
contest ahead of someone who arrived yesterday, and I arrived yesterday.
Where they stop being the same: measurement
The divergence is not technique. It is the final product, and therefore what you measure.
In SEO, the product is an ordered list of links. A person sees ten options, each retaining the author’s text, and success is observable: position, impressions and clicks. The instruments — Google Search Console and rank-tracking tools — were built for that interface and work well there.
In a generative engine, the product is text written by the machine. There is no position within a paragraph. A brand can occupy different states requiring different remedies: recommended (presented as a choice), source (its page linked without the brand discussed in the body), mentioned (named without a recommendation), or absent. These are English translations of the measurement labels. The distinction between the two most often confused is explained in Cited as a source or recommended by AI.
What the category’s literature actually measured also separates the disciplines. The paper that introduced GEO — Aggarwal, Murahari, Rajpurohit, Kalyan, Narasimhan and Deshpande, KDD 2024, arXiv 2311.09735 — tests writing interventions on pages and measures visibility within generated answers, against a 10,000-query benchmark: source citations +115%, statistics +41%, direct quotations +30%. None is an effect on a position in a list. They concern an interface SEO instruments do not observe.
The budgeting consequence for anyone arriving from SEO is that clicking is optional. An answer correctly describing what your company does without generating a single visit has already addressed the questioner’s commercial problem. No analytics dashboard records it because there is no session to record. In SEO, traffic is the product; in GEO, a by-product.
Same infrastructure, different instrument
| Layer | SEO | GEO | Is it the same? |
|---|---|---|---|
| Served HTML without depending on JavaScript | Prerequisite | Prerequisite | Yes, identical |
Discovery: links, sitemap.xml, submission | Three paths | Three paths | Yes, identical |
| Indexing in conventional search | The whole contest | A prerequisite through Bing’s index and others | Yes; GEO depends on it |
| Domain authority and off-site presence | A central factor | A central factor | Yes; favors established sites |
| Unit of outcome | Position in a list | The brand’s state within text | No |
| Success metric | Impressions, average position, clicks | Recommended · source · mentioned · absent | No |
| Is a click necessary? | Yes | No | No |
| Where the result is observable | Results page | Captured answer, with a screenshot | No |
The first four rows explain why “GEO is just SEO” sounds plausible. The last four explain why believing it can be expensive.
A named case where the SEO work was done and the outcome was lost
This is my material about my own company, including the unfavorable parts.
Fly Vet is a marketing agency for veterinary clinics that I operate. It has a published,
indexed content cluster. On 2026-06-27/28 I ran 100 questions against the engines, once each,
under the citation_kind rule. Results by engine:
- ChatGPT recommends it in 30 of 100.
- Claude recommends it in 41 of 100.
- In the 2026-06-27/28 Fly Vet sample, Google AI Overview did not recommend the agency and used its site as a source in 81 of 100 questions.
Read the third line through an SEO lens and it is a win: the content becomes a reference in roughly four out of five questions. Read it through GEO measurement and it diagnoses a writing-stage failure. The document was retrieved, but the brand did not survive into the text. Opposite conclusions about the same data, determined by the instrument you bought.
There is a worse subset, the one that cost me most. When a veterinarian describes a problem in the first person instead of asking for a comparison, Fly Vet appears 2 times in 80 in ChatGPT and zero in 80 in Claude: 80 records per engine, 40 questions × 2 repetitions, in the campaign through 2026-06-30. I win the comparison question and lose the problem-led one. No average-position report could have shown that because this interface has no position.
Then there is the case that led me to build the measurement system. On eight category searches such as “melhor agência de marketing veterinário” (English translation: “best veterinary marketing agency”), Fly Vet was absent while Evolui Vet was listed first. Across the full set, that competitor was cited in 28 of 100 ChatGPT answers; within those 28, Fly Vet was recommended in 10. The content was published, the cluster complete, and the contest lost. At that point the bottleneck was entity recognition rather than content: the engine did not identify the company as a distinct entity in the world. Its place in the sequence is in How to appear in ChatGPT as a company.
Why “it depends” is the worst answer
The market answers this question with “it depends,” allowing the same work to be sold under a new name. A closed question deserves a definite answer followed by qualifications, in that order.
There is also a stability difference that anyone moving from SEO needs to understand. In SparkToro research published on 2026-01-28, Rand Fishkin and Patrick O’Donnell reported 600 volunteers and 2,961 runs in ChatGPT, Claude and Google AI Overview across 12 categories. They concluded that recommended-brand lists are highly inconsistent between runs and that tracking an individual position in the answer is unreliable. In a link list, today’s position resembles yesterday’s; in generated text, it may not resemble the answer from five minutes ago. This does not invalidate measurement. It requires repetition.
The practical vendor test is not the acronym. Ask for the denominator: how many questions, engines and repetitions, on which day, under what rule? Someone answering with impressions and average position is measuring SEO and calling it GEO. Someone answering with “mentions” without a denominator is counting occurrences without a base. The four states make the result a diagnosis instead of a number that goes up.
The category also faces legitimate methodological skepticism, which I have no interest in hiding. Olivier Martinez’s survey arXiv 2607.14035, submitted on 2026-07-15, reviews 45 studies published between November 2023 and July 2026. It concludes that none of the reviewed techniques demonstrates a stable, longitudinal, cross-platform causal effect, and records conditions where GEO-style rewriting reduces page retrieval. That does not erase the observational distinction in measurement described above. It weakens a promise of results, which is why I do not promise a percentage gain.
What category measurement says about the boundary
If GEO were literally SEO, the engines would already have entrenched leaders, because SEO’s leaders have existed for years. That is not what appears.
In 51 of the 100 (question, engine) pairs I ran five times on 2026-08-06, no brand on the declared list of 29 names reached a majority. Half the field had no winner. In the broad-demand family — “what is GEO,” “is it worth it,” and “isn’t it just SEO under another name,” English translations of the Portuguese questions — the denominator was 120 (30 questions × 4 engines). The most frequently cited name on the list appeared 13 times in 120. Broad questions elicit a concept, not a vendor.
Two readings follow. First, in the 2026-08-06 baseline, no brand on the declared list had a
consolidated position across the measured category sample. Second, the sample does not establish
the effect of any single intervention. Fifteen years of authority corresponded to 19 of 100
pairs; four months of content alone corresponded to 15. murmur.marketing was absent in that
historical sample, before the current guide library. These dated results are not a current SOV
measurement or an assessment of today’s SWAS strategy; both paths showed partial presence, and
neither exceeded 20% in that sample.
Frequently asked questions
Is GEO the same as SEO?
No. SEO optimizes for an ordered list of links, where position and clicks are observable on the results page. GEO competes for presence within text written by a generative engine, where there is no position and clicking is optional. They share infrastructure — served HTML, crawlability, indexing and domain authority — making the confusion plausible. They do not share the final measurement instrument.
If I already do SEO well, do I need GEO?
That depends on what measurement shows, and measurement is the only way to know. A site with good SEO has already solved the access layer, a prerequisite for both. Access does not guarantee the outcome: in a historical Fly Vet campaign on 2026-06-27/28, Google AI Overview used its site as a source in 81 of 100 questions and did not recommend the agency. This dated sample shows why source citation and recommendation need separate measurement; it is not a current performance claim.
Can I measure GEO with Google Search Console?
Not for the outcomes that matter here. Search Console measures impressions, clicks and average position on Google’s interfaces, with appearances in Google’s own AI features mixed into general traffic without a separate breakdown. It does not tell you whether ChatGPT, Claude or Perplexity recommended, cited, merely mentioned or ignored your brand, which is what GEO measures. The instruments serve different interfaces; substituting one for the other produces a polished report about the wrong thing.
Can an SEO agency deliver GEO?
It can deliver the substantial shared work: crawlability, served HTML, sitemaps, indexing and authority. Verify the part that is not shared: whether it captures real engine answers with screenshots, denominators and dates, and classifies outcomes into states instead of counting mentions. The question is not which acronym the vendor uses, but the denominator for every figure it presents.
If fifteen years of SEO gives a head start, does a new site have a chance?
Yes. Both paths appear in the same measurement. On 2026-08-06, across 100 (question, engine) pairs repeated five times under the deterministic text rule on a declared list of 29 names, Conversion — fifteen years of domain history, 1,366 sitemap URLs and off-site presence — won 19 of 100 pairs. GeoStack, with 279 URLs in an almost entirely topic-specific cluster published over roughly four months, won 15. Two caveats belong with these figures: the leaders are separated by less than 1.3 binomial standard errors, preventing a stable ranking, and the brand winning 19 is absent in the other 81. The opening for a newcomer is not beating the old domain; it is that no listed brand reaches a majority in 51 of those same 100 pairs.
Who wrote this, and disclosure of interest
I am Mateus Gomes, operator of murmur.marketing, a Brazilian GEO operation combining
proprietary software with specialist service. I have a commercial interest in the category.
For context, the historical baseline I ran on 2026-08-06, before the current guide library,
recorded zero appearances for my company across 800 captures; across 34 method, taxonomy and
evidence questions, including this one, the result was 0 of 136. These figures describe that
dated sample, not today’s SWAS strategy or current SOV.
A scope clarification: the engine called google in my campaign is AI Overview, the
generated block at the top of search results. The Gemini app was not measured; this pipeline
has no collector for it. Nothing on this page can be read as evidence about Gemini.
Conclusion
GEO is not the same as SEO. But the boundary is not where category marketing usually draws it: crawlability, server-delivered HTML, discovery, indexing and domain authority are the same work. Those who already did it well start ahead. What changes is the unit of outcome, from a position in a list to a brand’s state within text, and with it the instrument. Measuring a new interface with the old tool gives a correct report about the wrong question. A historical Fly Vet campaign on 2026-06-27/28 illustrates the distinction: Google AI Overview used the agency’s site as a source in 81 of 100 questions but did not recommend it. To discuss measurement for your situation, contact Mateus Gomes on LinkedIn.