What GEO and SEO actually are
SEO is the practice of earning visibility in ranked search results. GEO is the practice of earning citations and recommendations inside AI-generated answers. AEO, answer engine optimisation, is the older name for the same citation goal, framed around direct answers rather than generated ones.
SEO
Search engine optimisation.
You optimise pages so a search engine ranks them, and the reader clicks through. The unit of value is the page and the unit of success is the click. Everything the discipline has built over twenty years serves that one transaction.
GEO
Generative engine optimisation.
You optimise so that ChatGPT, Google AI Overviews, Google AI Mode, Perplexity, Gemini, Claude and Microsoft Copilot use your page as a source when they compose an answer, and name your brand when they recommend one. The unit of value is the passage and the unit of success is the citation. You will also see it written as generative engine optimization, the US spelling, which is the same discipline.
AEO
Answer engine optimisation.
The same citation goal, expressed through extractable answers: question-shaped headings, definitive opening sentences, tables and lists a machine can lift whole. Most credible agencies sell AEO and GEO as one service, ours included.
GEO vs SEO: the side-by-side comparison
Here is the difference across the dimensions that change how you work. Read measurement, timescale and failure mode first; those are where teams get caught out.
| Dimension | SEO | GEO |
|---|---|---|
| Goal | Rank a page in a list of results | Be cited or named inside a generated answer |
| What you win | A click to your site | A mention, a citation, and sometimes a click |
| The query | One typed keyword matched to one page | A conversational question the engine expands into sub-questions you never see |
| Unit of optimisation | The page | The passage, the entity, the evidence behind a claim |
| Primary signals | Relevance, links, technical health, user behaviour | Retrievability, passage structure, corroboration, entity consistency |
| Content format that wins | Comprehensive pages that satisfy an intent end to end | Self-contained answer blocks, definitive openers, tables, question-shaped headings |
| Measurement | Impressions, positions, clicks, sessions | Citation counts, share of voice across a prompt panel, AI referral sessions |
| Reporting cadence | Weekly rank movement, monthly traffic | Monthly prompt panel re-run; no daily equivalent of a rank tracker |
| Timescale | Three to six months for competitive terms | Days to weeks where you already rank; months where you do not |
| Who it suits | Any business whose buyers still search and click | Considered purchases where buyers ask questions before shortlisting |
| Failure mode | Page two: visible, diagnosable, fixable | Absence: the answer is composed without you and nothing reports it |
The last row is the one that changes budgets. An SEO failure announces itself in a rank tracker. A GEO failure is silent, because nothing reports on an answer you were not part of. That is why GEO measurement has to be set up deliberately, covered further down this page.
What GEO and SEO have in common
Most of GEO is SEO. Generative engines do not maintain a separate web of trusted sources; they retrieve from search indexes, so the pages already ranking are overwhelmingly the pages that get cited.
The overlap is large. Crawlability decides whether a model can reach you. Topical relevance decides whether you are retrieved. Authority signals decide whether your claim is trusted over a competing one. Accurate, current content decides whether the engine keeps using you. None of that is new work.
Commercially, that means GEO is not a second retainer. It is a layer on the ranking asset you already own, and if that asset is weak, GEO has nothing to stand on.
Shared foundations
How each one decides who gets shown
A search engine ranks documents; a generative engine assembles an answer. That single difference explains almost every tactical divergence between the two disciplines.
How SEO decides
01 Crawl and index
The engine reaches the page and stores it.
02 Interpret the query
It works out what the typed phrase is asking for.
03 Score candidates
Every candidate document is scored for relevance and quality.
04 Return an ordered list
The output is stable enough to track day to day.
How GEO decides
01 Expand the question
One question becomes related sub-questions you never see.
02 Retrieve passages
The engine pulls passages rather than whole pages.
03 Check corroboration
It checks whether independent sources agree with the claim.
04 Compose and attribute
It writes the answer and credits a handful of sources.
How SEO decides. The engine crawls and indexes your page, interprets the query, scores every candidate document for relevance and quality, and returns an ordered list. You influence it by improving the document and the signals pointing at it, and the output is stable enough to track day to day.
How GEO decides. The engine expands the question into related sub-questions, retrieves passages rather than whole pages, checks whether independent sources agree with the claim it is about to make, then composes an answer and attributes a handful of sources. Corroboration is the stage most teams underestimate: a claim that exists only on your own domain reads as an assertion, while the same claim echoed elsewhere reads as evidence.
There is a second, slower layer. When an assistant recommends a brand without citing anyone, that comes from associations formed during training rather than live retrieval. It survives model updates only if the entity and corroboration work is sustained.
Where AEO fits: the SEO, GEO and AEO map
AEO and GEO are the same job under two names. SEO is the parent discipline that both depend on.
SEO
The parent discipline both depend on.
Optimises for placement in a list of links.
AEO
Answer engine optimisation.
Optimises for extraction, so an engine can lift a clean answer and credit you.
GEO
Generative engine optimisation.
Optimises for inclusion, so an engine uses your page as evidence and names your brand.
If you are comparing AEO vs SEO, you are asking the same question as GEO vs SEO. The answer does not change.
SEO optimises for placement in a list of links. AEO optimises for extraction, so an answer engine can lift a clean, self-contained answer and credit you. GEO optimises for inclusion, so a generative engine uses your page as evidence and names your brand. Extraction and inclusion are two views of one outcome, which is why almost nobody sells them separately.
The naming will keep moving. LLM SEO, LLM optimisation, AI search optimisation and answer engine optimization all circulate for the same deliverables. Judge a proposal by its scope, not its invoice.
Is GEO replacing SEO?
No. GEO is not replacing SEO, and SEO is not being phased out. Generative engines are built on top of search indexes, so the pages that rank are the pages that get retrieved. Removing the ranking layer removes the supply of citations.
What is genuinely changing is the share of demand that resolves without a click. Fewer people click through for a definition or a quick comparison, because the answer arrives in the result. That compresses informational traffic while leaving commercial and transactional queries largely intact, and it shifts the value of a top-of-funnel page from the session it earns to the citation it earns.
SEO's job description has widened rather than ended. You still need the pages to rank. You now also need them to be quotable, corroborated and attributable when a model writes about your category. Anyone selling GEO as a replacement is selling a story about the market rather than a plan for your site.
A GEO failure is silent.
Do you need both GEO and SEO?
Almost certainly yes, but the split is not fifty-fifty. Here is how to decide where your next pound goes.
If: Your site does not rank on page one for your commercial terms
Then: Fix SEO first. GEO has nothing to retrieve until you rank
If: You rank well but buyers say they found competitors “in ChatGPT”
Then: Add GEO now. The ranking asset is there and is not converting into citations
If: You sell a considered purchase with a long research phase
Then: Run both, weighted to GEO on the content that feeds the shortlist
If: You sell on price, locally, with short research cycles
Then: Stay weighted to SEO and local search; the answer layer matters less
In our own retainers, GEO accounts for roughly a fifth of the work and SEO for the rest. That ratio holds because four fifths of GEO is SEO you were doing anyway. If a proposal reverses the split, ask what it stopped doing to make room.
Whichever way you weight it, treat it as one budget and one team. Splitting GEO into a separate line item with a separate owner is how organisations pay twice for schema, content structure and technical fixes that only needed doing once. Our generative engine optimisation agency page sets out how both run inside a single retainer.
What actually changes when you run both
Most of the retainer did not change. Here is the actual diff from running GEO alongside SEO across our client work, sorted into what stayed the same, what is genuinely new, and what stopped earning its place.
Unchanged
This is the bulk of the work and it did not move.
- /Technical health and crawlability
- /Keyword and intent research
- /Information architecture
- /Internal linking
- /Content production against a topic map
- /Digital PR and link acquisition
- /Core Web Vitals
- /Search Console hygiene
New
Genuinely new work created by the answer layer.
- /A fixed panel of commercial prompts, re-run monthly across ChatGPT, Perplexity, Gemini and Google AI Overviews, so absence is visible
- /Passage-level rewriting of priority pages: a definitive opening sentence under every heading, question-shaped H2s, comparison tables built as real HTML rather than images
- /Entity consistency across the sites that describe you
- /Crawler access decisions for AI user agents
- /An AI Assistant channel in analytics
Retired
Work that stopped earning its place.
- /Chasing exact-match phrasing variants for informational queries that now resolve inside the answer
- /Thin definition pages written to catch a snippet
- /Reporting built solely on position and click deltas for top-of-funnel terms, which now understates what those pages do
Unchanged. Technical health and crawlability. Keyword and intent research. Information architecture. Internal linking. Content production against a topic map. Digital PR and link acquisition. Core Web Vitals. Search Console hygiene. This is the bulk of the work and it did not move.
New. A fixed panel of commercial prompts, re-run monthly across ChatGPT, Perplexity, Gemini and Google AI Overviews, so absence is visible. Passage-level rewriting of priority pages: a definitive opening sentence under every heading, question-shaped H2s, comparison tables built as real HTML rather than images. Entity consistency across the sites that describe you. Crawler access decisions for AI user agents. An AI Assistant channel in analytics.
Retired. Chasing exact-match phrasing variants for informational queries that now resolve inside the answer. Thin definition pages written to catch a snippet. Reporting built solely on position and click deltas for top-of-funnel terms, which now understates what those pages do.
We can be specific about that diff because the work produced traceable results on our own site. Visionary is cited in Google AI Overviews on multiple commercial terms, and in July 2026 two client enquiries arrived through ChatGPT.
What the referral path looked like
The referral path was legible end to end. The session landed from the assistant, was grouped into a purpose-built AI Assistant channel rather than lumped into direct, reached a service page, and converted through the standard enquiry form. Two enquiries is a small number and we present it as one agency's experience, not a benchmark. The point is that the chain from citation to enquiry is traceable at all, which is what most GEO reporting is missing.
For the dataset behind those tactics, our AEO statistics report analysed 12,400 AI Overview queries and found that definitive opening sentences under a heading correlate most strongly with citation, at 0.49, with citation density behind it at 0.42. That is why passage rewriting sits in the "new" column rather than the "nice to have" one.
What does not change: the fundamentals still apply
The fundamentals did not get replaced, they got more important. Generative engines are downstream of search indexes, so every classic weakness compounds twice: once in the ranking, and again in the answer that would have cited you.
Crawlability and indexation
If a crawler cannot reach the page, no engine can retrieve it and no model can cite it.
Site speed and stability
Slow, unstable pages get crawled less, and less crawling means staler retrieval.
Accurate, current content
Engines favour sources that are demonstrably maintained; a visible review date is a signal.
Genuine topical depth
Shallow coverage fails ranking and fails corroboration, because there is nothing to agree with.
Structured data
Article, FAQPage, Organization and sameAs still describe your entity to machines that must resolve it.
Internal linking
Still distributes authority, still tells a retriever which passage belongs to which topic.
Authoritative sources
Citing real sources, with names and dates, makes your claims safe to repeat.
Clear authorship
A named author with credentials is an attribution signal in both systems.
Off-site presence
Reviews, listings, forums and press are where corroboration lives, and always were.
If you are weak on any of these, the answer to "GEO or SEO?" is neither yet. Start with the technical SEO agency work that makes both possible.
There is no Search Console for ChatGPT
How to measure GEO when there are no impressions
You measure GEO with three numbers, none of which come from a search console: AI referral sessions, citation counts, and share of voice across a fixed prompt panel. Set them up before you start the work, because none of them backfill.
- 01
Segment AI referrals in analytics
Build a custom channel group that captures assistant referrers, so those sessions stop being absorbed into direct. Without it, every AI-sourced enquiry is invisible and every GEO report is a screenshot.
- 02
Track citations on the terms you sell
Record which of your pages appear as sources in AI Overviews for your commercial queries, and which pages they beat. This is the closest thing GEO has to a rank tracker.
- 03
Run a prompt panel monthly
Fix a list of the questions your buyers actually ask, re-run them across the assistants on the same day each month, and record whether you were named. Consistency of method beats size of list.
- 04
Join it to enquiries
Tie the channel to your form and your CRM, so a citation can be followed through to a session, an enquiry and a deal. This is the only reporting that survives a finance conversation.
For what those numbers look like at scale, our AI search visibility statistics report tracks 8,400 prompts across ChatGPT, Perplexity, Gemini and Claude, and our AI Overviews traffic impact analysis covers 21.7M Search Console impressions. If you would rather have this run for you, that is what our AI SEO agency service does.
Questions
GEO vs SEO FAQs
Methodology
Comparison dimensions come from how both disciplines are delivered inside our own client retainers. Each first-party figure is cited once and links to the report that produced it: 21.7M Search Console impressions from our AI Overviews traffic impact analysis, 12,400 AI Overview queries from our AEO statistics report, 8,400 tracked prompts from our AI search visibility study. The two July 2026 ChatGPT-attributed enquiries are our own, reported as one agency's experience rather than a benchmark.
Last reviewed: August 2026. Next review: February 2027.
