GEO vs SEO vs AEO: the differences, and which one your business needs.

GEO vs SEO vs AEO at a glance

GEO, SEO and AEO are three names for making a business findable, aimed at three different places. SEO (search engine optimisation) aims for a place in the list of search results. AEO (answer engine optimisation) aims to make your page the answer to a specific question. GEO (generative engine optimisation) aims to get your company named and cited inside answers written by AI engines. Whether the three are really one discipline is also a question the 2026 marketer surveys raise, covered in what marketers say about AI search and whether SEO is dead.

The table sets them side by side. Read across a row to see where they differ; read down a column to see what a programme of that kind actually delivers.

Two things stand out. First, the columns build on each other: GEO without the SEO foundations rarely works, because the AI engines retrieve pages through search systems of their own, and Google says its AI features are “rooted in our core Search ranking and quality systems”. Second, the measurement is different in each column, so a single blended score hides more than it shows. We come back to measurement in choosing measurements that match the decision.

To see how the same buyer need turns into three different pieces of work, take one invented example: a UK manufacturer with 300 staff looking for new HR software.

If you want the full definitions, our generative engine optimisation guide explains where GEO came from and what the original research tested, and our answer engine optimisation guide sets out how answer engines choose and phrase answers. This page is about the comparison and the decision.

Five differences between GEO and SEO that change the work

GEO and SEO share most of their foundations; they differ in the goal, the surface, the unit of success, the measurement and where the evidence lives. AEO sits between them: it shares SEO’s focus on your own pages and GEO’s focus on answers.

1. The goal: a click, or a mention

SEO succeeds when a buyer clicks through to your page. GEO can succeed without a click: if ChatGPT lists your company as one of three suitable suppliers, the buyer has your name even if they never visit. That is why GEO reporting counts mentions and citations, not only visits. It is also why GEO matters more for considered B2B purchases, where a shortlist is formed before anyone fills in a form.

2. The surface: a list, a box, or a written answer

SEO competes for positions in a list of links. AEO competes for one answer slot: a featured snippet, a voice answer or the opening lines of an AI response. GEO competes for a place in a paragraph the engine writes, alongside a handful of sources it chooses to cite. The term itself comes from a research paper, “GEO: Generative Engine Optimization”, first posted on 16 November 2023 and accepted to KDD 2024, which described engines that search the web and then write a combined answer.

3. The unit of success: rank, answer, or share of answers

A ranking is fairly stable from one day to the next. An AI answer is not: research reported in January 2026 found that ChatGPT and Google’s AI returned the same list of brands “less than 1% of the time” across repeated runs of the same prompt. So GEO is measured as a share of answers across many questions and repeated runs, not as a position. Our guide to how an AI visibility score is calculated shows the arithmetic.

4. The measurement: established reports, and new ones

SEO has mature reporting: Search Console shows queries, impressions, clicks and positions. AI reporting is newer. Google says traffic from AI Overviews and AI Mode is included in the Performance report “within the ‘Web’ search type”, and on 3 June 2026 it introduced generative AI performance reports showing “how often URLs from your site appeared in generative AI features in Search and Discover”. Bing added AI Performance reporting in public preview on 10 February 2026, calling it “an early step toward Generative Engine Optimization (GEO) tooling”, with citation counts across Microsoft Copilot and AI summaries in Bing. In GA4, visits from ChatGPT, Gemini, Copilot and similar tools fall into the AI Assistant channel, while visits from Google’s AI Overviews and AI Mode stay in Organic Search. To see where you stand today, use our AI visibility checker and manual method.

5. Where the evidence lives: your site, or everyone’s

SEO and AEO are mostly work on your own pages. GEO is shaped heavily by what other sites say about you: review platforms, directories, comparison lists and trade press. An AI engine asked for “the best providers of X for Y” often builds its answer from third-party lists, so a company with excellent pages and no outside mentions can still be left off the shortlist. Our guide to the off-site sources AI engines trust covers that side of the work.

What they have in common

Google’s own position is that “optimizing for generative AI search is optimizing for the search experience, and thus still SEO”. Its guidance lists things you do not need for its AI features, including AI text files and special markup, and says “structured data isn’t required for generative AI search”. In practice this means the first pound spent on GEO usually goes on the same things as good SEO: pages that can be crawled, answer real questions and show evidence. We cover that groundwork in our generative engine optimisation services.

Which do you need? A decision flow

Most businesses need all three eventually, in a particular order: fix the SEO foundations, then make your pages answer buyer questions (AEO), then work on how AI engines describe and cite you (GEO). Where you start depends on four facts about your site and your buyers.

Two-minute self-check

Is this the right first move for you? The self-check below tells you which of the three to start with, from six questions about your site and your buyers. Nothing you enter is sent anywhere.

Whatever the result, the rest of this guide applies: decide the commercial question first, then choose the label. If an agency proposal uses all three acronyms, ask it to show you which row of the table each deliverable belongs to.

Questions people ask about GEO, SEO and AEO

Sources for this comparison: Google Search Central, optimising for generative AI search; Google Search Central, AI features and your website; Google Search Central blog, 3 June 2026; Bing Webmaster blog, 10 February 2026; Google Analytics default channel group; Aggarwal et al., GEO: Generative Engine Optimization (arXiv, 2023); Search Engine Journal, 30 January 2026. All accessed 13 November 2026.

Make the investment decision before choosing the acronym

Knowing the differences is the easy part. SEO, AEO and GEO often appear in the same proposal, but the commercial question is simpler: how will the right buyers discover, evaluate and choose the business? Industry usage of the three terms overlaps, so the label alone does not tell you what an engagement will deliver.

Ask for the work beneath the terminology. Which buyer questions will be addressed? Which pages or sources need improvement? What will be measured? Who implements the changes? How does the work connect to an enquiry, an opportunity and eventual revenue? A proposal that cannot answer those questions is incomplete, however many emerging terms it includes. The rest of this guide helps you write that brief, separate foundations from experiments and judge the scope you are offered. You do not need to assign every task to one acronym: a detailed service page or a well-sourced case study helps a human buyer, search discovery and AI answers at the same time.

Map the buying journey your public information must support

Start with the trigger for a serious purchase: entering a market, replacing an ineffective system, improving lead quality or protecting growth during a migration. That trigger generates questions before it generates a service specification, and those questions are what buyers type into search and ask AI engines.

Map five stages: recognising the problem, evaluating approaches, comparing providers, validating the investment and planning implementation. Identify the people involved at each stage. The initial researcher may not be the final decision-maker; a marketing director may need to explain the case to finance, and an operations leader may need technical colleagues to review integration.

For each stage, identify the evidence the buyer needs and the page that supplies it. A diagnostic guide helps establish the problem. A service page explains scope. A case study demonstrates relevant experience. A process explanation clarifies responsibilities. Record the desired action for each page, too. If every screen asks for a meeting before giving useful information, the business may lose thoughtful buyers who are still building internal agreement.

Protect the foundations that make any visibility useful

An inaccessible or confusing website undermines every discovery strategy, which is why SEO sits first in the decision flow above. Confirm that important pages load, can be crawled, have sensible canonical destinations and work on mobile. Google’s guidance for AI Overviews and AI Mode retains established SEO foundations and does not require special AI schema (Google Search Central: AI features and your website).

Two further foundations matter more for GEO than for classic SEO. Keep the company’s facts (name, services, locations, contact routes) consistent across the website and the profiles engines read, and correct outdated descriptions at their source. And keep ownership within the business: know who controls the domain, website, analytics and important profiles, and how changes are made and rolled back.

Build fewer pages with a clear commercial purpose

A focused site can support a complex buying journey if each page does substantial work. Give each core service a distinct scope, use case studies to demonstrate experience in specific situations and publish a small number of guides that help buyers make consequential decisions. Add a page when it serves a meaningfully different need, not because a keyword tool produced another variation of the same phrase.

Before creating a page, write its audience, decision, primary question, evidence and next action. If those are almost identical to an existing page, strengthen that page instead. Depth should come from usefulness, not length: Google rejects the idea of a preferred word count and encourages content that adds original value for its audience (Google Search Central: helpful content). Use headings so a reader can scan the questions and jump to the one they have.

Treat evidence as part of the product you sell

Buyers, and the engines that summarise you for them, need evidence they can inspect. A strong evidence block names the client where authorised, describes the situation, states the metric and period, shows the source and separates observed results from assumptions about why they occurred.

Present each measure at its proper level. A traffic increase shows more people discovered the site; it does not prove more qualified opportunities. A CRM cohort can show opportunity progression if the records are complete and the counting rule is clear. Keep testimonials faithful, and do not present feedback about one service as proof of another.

Behind the website, keep an evidence register: the source file, permission, metric definition, period, limitations and the pages where each claim appears. It keeps your own pages consistent, which also helps the third-party descriptions that GEO depends on stay accurate.

Choose measurements that match the decision

Keep search visibility, AI answer visibility, website behaviour and commercial outcomes in connected but separate views. Search data shows queries, impressions and clicks; a fixed AI question panel shows sampled mentions and citations; analytics shows visits; the CRM shows accepted enquiries, opportunities and customers. Each view has limits and should state them. We compare the main AI visibility tracking tools in a separate guide.

Avoid blending them into one score. A point gained in a sampled answer panel is not comparable with a percentage change in search clicks. If leadership needs a summary, use a short set of indicators tied to the objective, each with its trend, its sample and the action it informs.

Record how a page contributes to an enquiry. Keep the original landing page separate from the final conversion page: a guide may assist an enquiry that happens on a service page. Counting only the last screen understates it; crediting every page touched with the whole sale overstates it. Preserve unknown sources instead of forcing them into the most attractive channel.

Evaluate an agency proposal by its operating commitments

Ask for the first scope in terms of decisions and deliverables: a defined buyer-question audit, a review of named service pages, an evidence inventory, a prioritised backlog and a measurement plan. The proposal should say which changes the agency implements and which need your people. A report without an implementation owner often becomes an expensive record of unresolved problems.

When you compare several proposals, ask each the same questions:

• Journey. Which service, buyer decision and implementation path will it improve?
• Evidence. Does it distinguish impressions, visits, enquiries and revenue, and show the source and period of a relevant result?
• Operating model. Who writes, approves, implements and tests? Which inputs does it need from you?
• Course correction. What would lead it to change direction if the baseline shows a different constraint?
• Handover. Will you keep access to the accounts, source files, measurement definitions and test records?
• Terms. Are audit, implementation, content, ongoing review and paid media priced separately, with contingent work marked?

A lower initial price may omit the implementation that makes the research useful, while a broader engagement may include work you are not ready to absorb. The right choice resolves the current constraint with clear responsibilities.

Allocate investment between foundations, proof and experiments

Do not set a universal percentage split before inspecting the business. A company with broken measurement may need a baseline first; one with strong traffic and weak conversion may need clearer service pages and evidence; a technically sound business with detailed proof may be ready to test how it appears in AI answers.

Use three categories. Foundations make the site accessible and measurable. Proof strengthens the information a buyer needs to trust you. Experiments test one opportunity with a defined learning objective. A foundational repair is complete when it works; an experiment is useful when it informs a decision, even if the hypothesis fails. Keep a visible implementation reserve, because research nearly always finds work that has to be done on the site, and ask what the team will stop doing to support the programme.

Build a ninety-day programme with decision gates

Use the first thirty days to define the buyer journey, inspect the evidence and establish measurement for one core service or market. Review the existing pages, known demand and enquiry quality, and leave the period with a prioritised backlog and a workable scope.

In the next thirty days, implement the most consequential changes: the service explanation, the evidence presentation and the enquiry journey. Verify the website and measurement changes, and keep a dated change log so later observations can be read against what actually changed.

Use the final thirty days to compare the stable question panel, website behaviour and lead progression, reporting incomplete sales cohorts as incomplete. At each gate, continue when the next scope has a clear rationale, adjust when the evidence points to a different constraint, and pause expansion when the business cannot implement or respond. The timetable is a management framework, not a promise that search or AI systems will change within a fixed number of days.

Coordinate the people who make the programme credible

The executive sponsor defines the objective and resolves priorities. Marketing translates buyer needs into the public journey. Subject-matter experts confirm that service explanations are accurate. The website team implements. Measurement and sales operations keep the record of what happens after a visitor acts. An agency can perform several of these roles, but each should have a named owner.

Keep the approval path for factual content short, and give reviewers a specific question rather than a whole page. Hold the working cadence around decisions, not presentations, and store the question panel, briefs, evidence register and decision log where the business can reach them after any team or supplier change. A simple record for each decision:

Work through an illustrative allocation decision

Imagine a specialist consulting firm with a credible delivery history, an old website and inconsistent lead reporting. The board asks whether it should commission an AEO programme. A preliminary review finds that the service pages lack scope detail, case studies have no source captions and several forms route into different inboxes. This is an illustrative situation, not a reported client result.

Run through the decision flow and the answer is clear: the firm’s first need is not AEO or GEO but the foundations and the proof beneath both. It selects two important services, clarifies their scope, documents the case evidence behind them and gives every enquiry a common identifier and source fields. It also records a small AI question baseline, so there is a starting observation.

Once those foundations are in place, it publishes a detailed guide for one recurring buyer decision, measures guide requests separately from project enquiries, and reviews conversation quality, page contribution and the answer panel together. The next budget decision follows that evidence. The same service clarification helped search, AI answers, sales conversations and procurement at once, which is why the acronym chosen at the start did not decide the scope.

Write a one-page investment brief

Bring the guide together in a brief of one page, written before you ask anyone for a proposal:

• The change. The service, buyer and decision in one paragraph; why it matters now; what is already known about the constraint. Do not start with a requirement to buy an AEO or GEO package.
• Assets and limits. Strong evidence, expert time, useful pages, search data or a working CRM; and the limits, such as incomplete data, slow approvals, a planned migration or limited sales capacity.
• First deliverables and acceptance criteria. A buyer-question audit includes the question panel and dated observations; a case-study revision includes the source and metric definition; a conversion fix is tested through the real form destination.
• The review point. When management will decide whether to expand, and which evidence will inform it, with leading indicators where the sales cycle is long.

A brief that states these plainly is more likely to produce an implementable proposal than one that asks for growth without describing the operating environment.

Keep the strategy useful as terminology changes

The labels will keep changing; the objective does not. The business wants relevant discovery, accurate evaluation and qualified opportunities. Review the question panel and content priorities periodically, consolidate overlapping pages, update evidence when stronger records exist and preserve URLs with redirects when the structure changes. Give every experiment a learning objective and a review point, and remove what does not help a buyer or inform a decision.

References and definitions

The distinctions and programme structure in this guide are practical briefing conventions; terminology varies across providers. The allocation example is illustrative. The core platform references are Google’s AI features guidance, helpful content guidance and recommended Analytics events. Review the current documentation when selecting specific implementation controls.