GEO vs SEO: the differences, and do you need a new agency?

The question I hear most from marketing leaders right now is not "what is GEO". It is "do I need to hire someone new for it, or can my current SEO agency handle this".

It is a budget question dressed as a technical one. The honest answer will save some of you a second vendor you do not need.

GEO and SEO share most of their technical foundation, so in most cases you do not need a separate agency or team for AI search. You need a provider who measures the right outcome and has reprioritised the work for it.

This guide covers both halves in full. First, how GEO and SEO differ, from how each engine chooses content to how you write and measure for both. Then, what a GEO agency and an SEO agency each do, and how to tell whether your current provider can handle the difference.

Key takeaways

• SEO targets a ranking and a click. GEO targets a citation inside an AI answer.
• The foundation is shared: crawlable pages, clear structure, a consistent entity, and genuine authority.
• The differences are in how content is selected, how you write for extraction, and how you measure.
• GEO will not replace SEO. Many assistants draw their sources from a search index.
• Most companies need their current provider to adapt, not a second agency.

GEO vs SEO: quick definitions

What is SEO?

SEO, search engine optimization, is the work of making pages rank in search results so people click through to them. It covers technical health, content that matches search intent, and authority from links and mentions.

What is GEO?

GEO, generative engine optimization, is the work of making your content and brand the sources an AI system draws on and cites when it writes an answer. The surfaces include ChatGPT, Perplexity, Gemini, Copilot, and Google AI Overviews and AI Mode.

The full definition is in what is generative engine optimization.

GEO, AEO, AIO, LLMO: what is it called?

The field has too many names. Answer engine optimization (AEO), AI optimization (AIO), LLM optimization (LLMO), and AI SEO all describe the same core work: being retrieved, understood, and cited by AI answers.

The distinctions rarely change what you do. They are set out in AEO, GEO, and SEO explained, and the umbrella term is covered in what is AI SEO.

Why GEO matters now

GEO matters because ranking and receiving a visit have come apart. An AI answer can satisfy the searcher above the results, so a page can hold its position while its traffic falls. That pattern is covered in traffic falling, rankings holding.

Buyers also ask assistants to shortlist and compare before they visit any site. If you are absent from those answers, you miss the moment the shortlist is made. See how AI search is changing the buyer journey.

And an assistant describes your company whether or not you manage it. If its picture of you is thin or wrong, that is the version prospects hear.

GEO vs SEO: the key differences

The table sets out where GEO and SEO differ in practice.

How search engines and AI engines choose content

The biggest practical difference is the mechanism. Understanding it explains every other difference in this guide.

How each one selects content

A search engine ranks whole pages for a query and shows a list. The user chooses which result to open.

An AI engine usually retrieves a set of candidate pages, often through a search index, then pulls out the passages that answer the question and writes a response. It decides which few sources to name. The detail is in how AI assistants choose sources.

So in SEO you compete for a position. In GEO you compete to be the passage that gets used, from a brand the system is confident about.

Do web crawlers and AI crawlers work the same way?

Not quite. Googlebot and Bingbot render JavaScript and have mature, well-documented behaviour. Many AI crawlers, such as GPTBot, OAI-SearchBot, PerplexityBot, and ClaudeBot, fetch pages more simply and may not run JavaScript.

That means content rendered only in the browser can be visible to Google and invisible to an assistant. It also means each AI crawler can be blocked separately, often by accident. See technical SEO for AI crawlers and are you blocking AI crawlers.

Keywords vs prompts, and query fan-out

SEO starts with keywords: short phrases with measurable search volume. GEO starts with prompts: longer questions, often with context and follow-ups.

AI systems also expand one prompt into several related searches before answering. This is called query fan-out. A question about "the best CRM for a small agency" might fan out into searches about pricing, integrations, and reviews.

So you should not forget keywords. They still describe demand and feed the search indexes assistants use. But a page that also answers the natural follow-up questions is retrieved for more of those fanned-out searches.

Search intent and content type

Both disciplines serve intent, but in different ways. SEO satisfies intent by ranking the page that best matches it, then letting the page do the work.

GEO satisfies intent inside the answer, so it rewards content types that lift cleanly: direct definitions, comparisons, step-by-step answers, specific facts, and original data. Long, meandering pages with the answer buried are harder to use, however well they rank.

What GEO and SEO share

Start with the overlap, because it is most of the picture.

AI search still relies on search indexes

For any answer an assistant builds by browsing the live web, conventional search visibility is often the entry requirement, because that is where it draws candidate pages from. Google's AI Overviews use Google's index; Copilot uses Bing's.

This is why "SEO is dead" is incoherent. See is SEO dead.

Both prioritise intent and quality

Content that genuinely answers the question, written by people who know the subject, is what both systems try to surface. Neither rewards thin pages built to catch a phrase.

Structure, keywords, and authority still matter

A page structured so a search engine understands it is a page a language model can extract from. Keywords still signal what a page is about. Authority earned through genuine third-party references helps you rank and helps you get cited.

Technical health is the foundation

Crawlable, fast, server-rendered pages with clean internal links underpin both. A technical failure removes you from the answer as surely as it drops you from the rankings.

Where GEO and SEO genuinely differ

The differences are real, but narrower than the marketing suggests. They are about outcome and emphasis rather than a separate skill set.

The outcome you measure

Classic SEO measures rankings and the traffic they produce. GEO measures whether you are found, described accurately, and cited across the assistants your buyers use.

A provider set up only to report ranking positions is measuring the wrong outcome for this. Not because they lack a skill, but because they have not changed what they look at.

The priorities

Some work that was a nice-to-have for ranking is now load-bearing for citation. Server-side rendering, so content is present for a crawler. Entity consistency, so a model knows who you are. Answer-first structure, so there is a passage to extract.

The tasks are familiar. Their order of importance has moved.

Entity recognition

An AI system has to attribute information to the right company. If your name, category, and description vary across your site, profiles, and directories, it may not connect them, or may describe you vaguely.

SEO benefits from a clear entity too, but GEO depends on it, because the answer names you directly. See entity SEO.

GEO reaches beyond your own content

SEO is largely about your own pages and the links to them. GEO also depends on what others say about you: reviews, forums, comparisons, directories, and videos that assistants read and cite.

Much of what an assistant says about you comes from those sources. See why AI recommends your competitor and why AI assistants cite Reddit.

Will GEO replace SEO?

No. GEO is built on SEO, not instead of it. Many assistants retrieve their sources through search indexes, so losing search visibility usually means losing AI visibility too.

What changes is that SEO alone is no longer the whole job. The practical answer is one programme with two scorecards: rankings and citations. How to plan that is in AI SEO strategy.

GEO vs SEO: the ROI mindset shift

SEO's return has traditionally been measured through clicks: rankings drive sessions, sessions drive leads. GEO changes that model, because some of the value arrives without a click.

A buyer who reads an answer naming you, then searches your brand or visits directly a week later, will not show up as an AI referral. So judge GEO on a mix of signals: citation rate, accuracy, share of voice, AI referral sessions, and changes in branded search and direct enquiries.

This is harder to attribute than a ranking report, and worth being honest about. The approach is in how to measure the ROI of AI search.

How to create content for both GEO and SEO

The same page can serve both. Write it for a busy human who wants the answer first, and it will usually serve an AI system too.

Lead with the answer, under a question-led heading

State the answer in the first sentence or two beneath each heading. Phrase headings as the question they answer where it reads naturally, such as "How long does a migration take?" That helps a search engine match intent and helps an AI system find the passage.

Write explicitly about who and what

State facts in plain subject, relation, object form, such as "Acme is a payroll platform for UK agencies." This is sometimes called writing in semantic triples. It removes ambiguity about who does what.

Keep the brand or subject close to the claim about it, rather than several sentences away. Some practitioners call this lexical proximity. The point is simple: a passage lifted on its own should still say who it is about.

Keep paragraphs short and self-contained

Short paragraphs, clear headings, lists, and tables all help a system parse and extract. A passage that depends on the previous three paragraphs is hard to quote. See what makes content citable in AI.

Use structured data where it clarifies

Schema markup, usually JSON-LD, helps both search engines and AI systems understand what a page is and who is behind it. Organization, Article, FAQPage, and Product are the common types.

It clarifies; it does not force a citation. See schema markup for AI.

Cover follow-up questions and keep pages current

Answer the next questions a buyer would ask, so the page is retrieved for fanned-out searches. Update key pages when facts change, with a visible updated date. See how to update old content for AI search.

The GEO and SEO optimisation checklist

One checklist covers both. The GEO-specific items are the ones most often missed.

A fuller list is in the generative engine optimization checklist.

How to compare your SEO and GEO results

The clearest way to see the difference is to test one question across surfaces. Take a question a buyer asks and run it in Google search, Google AI Overviews, ChatGPT, and Perplexity.

You will often see four different answers, with different sources. You might rank well in Google, be cited in Perplexity, and be absent from ChatGPT. That is normal: GEO is platform-specific, because each assistant retrieves differently.

Repeat with 20 to 50 questions, several runs each, and record rankings, citations, and who appears instead. The pattern shows where your gap is. The method is in how to check if your brand appears in AI answers, and the platform differences are in ChatGPT vs Perplexity.

How to measure GEO success

Keep your SEO reporting and add a second scorecard.

See share of voice in AI search and how to track AI search traffic.

How to start applying GEO

1. Baseline. Build a question set and record where you appear today, across the assistants your buyers use.
2. Fix access. Confirm AI crawlers can reach your pages and that content is server-rendered.
3. Fix your entity. Make your name, category, and description consistent everywhere.
4. Rewrite priority pages. Answer first, question-led headings, self-contained passages.
5. Build corroboration. Get accurately represented on the reviews, roundups, and communities assistants cite.
6. Remeasure. Rerun the same questions monthly and compare.

GEO agency vs SEO agency: what each does

Providers now market themselves as GEO agencies, SEO agencies, or both. Here is what the work typically includes on each side, and where it overlaps.

The overlap is large: technical SEO as the foundation, on-page quality and trust signals, and off-site authority. A capable provider does both columns. A provider that does only the left column has not adapted; one that does only the right column is building on a foundation it is not maintaining.

For retail, product data feeds matter more than most teams expect. See how to optimize products for ChatGPT shopping.

Can your current SEO agency do GEO?

So the useful question is not "GEO or SEO". It is whether your current provider measures the right outcome and prioritises for it.

Part of the reason this feels like a fork in the road is that the market has an incentive to make it one. A new acronym creates a reason to pitch a new service, a new retainer, and a new line item. That is why it is worth reasoning it out rather than taking anyone's word, including mine.

Signs they can handle it. They already talk about how you appear in AI answers, not just where you rank. They can describe how they measure it, and they treat AI search as an evolution of your programme rather than a bolt-on.

Signs they cannot, yet. They report only rankings and organic sessions, with no view of AI answers. They describe AI search vaguely, or with a certainty about "the algorithm" that no one honest has.

Most tellingly, they respond to your question with a brand-new product, priced separately, rather than folding the work into what they already do. That is common, and it is expensive.

What to ask your SEO agency about GEO

You do not need to become an expert to assess this. You need a few direct questions and the confidence to notice a non-answer.

1. How do you measure our visibility in AI answers today? A capable provider describes a method: a set of prompts, the surfaces tested, how often each runs, and how they handle answers that change between runs. Vagueness is the tell.
2. Which of our pages are cited by assistants now, and how do you know? This separates providers who are looking from providers who are guessing.
3. What would you change first, and why? A good answer is sequenced: fix retrieval before extraction, because a page that cannot be reached cannot be cited. A weak answer is a list of tactics with no order.
4. Is this in our current scope or a new charge? The answer tells you whether they see it as their job or as a chance to expand the account.
5. What have you changed in the past year because of AI search? A provider who has adapted can point to specific shifts. One who has changed nothing but is now selling a GEO package is repackaging.

For evaluating outside providers, see generative engine optimization services.

When you genuinely need a GEO specialist

Sometimes the answer is yes, bring in someone new. You need outside help when your current provider fails the questions above and shows no sign of adapting.

You need it when you have no in-house measurement capability and want an independent baseline, free of the incentives of whoever does your delivery. And you need it before a high-stakes change, such as a migration or a repositioning.

Even then, "specialist" often means a diagnosis engagement rather than a permanent second agency. You get a clear read on what is wrong and in what order to fix it, then hand delivery back to your existing team. The diagnosis-versus-delivery split is covered in answer engine optimization services.

If you have no delivery team to hand that plan to, the build side is what my Webflow agency handles, kept deliberately separate from the diagnosis.

The trap to avoid

The expensive mistake is buying a second vendor to do work your first vendor should be doing, and paying twice for one discipline.

Two providers working the same foundation under different labels tends to produce duplicated effort, conflicting advice, and a muddle over who owns the outcome. The better move is to hold your existing provider to the higher standard, then either watch them rise to it or replace them.

What this looks like for an in-house team

The reasoning is the same for an in-house SEO team, with one adjustment. An in-house team has proximity: they know your site, your buyers, and your history, so the reprioritisation is often easier for them to absorb.

What they usually lack is an independent baseline and the time to build the measurement discipline. So the specialist you bring in is frequently a diagnosis engagement that sets up the measurement and hands the team a clear read.

The failure mode is assuming that because the team is busy and competent, the measurement must be happening. Ask your own team the same questions you would ask an agency. The wider trade-offs are in in-house vs agency for AI SEO.

The cost of getting the decision wrong

The two wrong answers do not cost the same. Bringing in a second vendor you did not need costs money and creates confusion, but it is visible and you can unwind it.

Failing to adapt is quieter and usually more costly. A provider who keeps reporting rankings while your citations erode hands you a dashboard that looks fine while the real outcome gets worse, unmeasured.

That asymmetry argues for measuring first and deciding second. A single diagnosis tells you whether you have a real gap and whether your current provider can close it.

The takeaway

GEO vs SEO is not a choice between two disciplines. SEO earns the ranking; GEO earns the citation; the foundation underneath is shared. The differences are in how content is selected, how you write for extraction, and how you measure.

Run them as one programme with two scorecards. Ask your provider how they measure AI visibility, what they would fix first, and whether it is in scope. Bring in a specialist when they cannot answer, and even then, prefer an independent diagnosis over a permanent second vendor.

If you want that independent read, a measured baseline and a clear diagnosis you can hand to whoever does your delivery, that is what an AI visibility audit is for.

This article is part of the SEO in the AI Era: The Complete Guide guide.